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1. Applications green marked areas in Figure 3 Resources data models for connected devices which are controlled by the OGEMA gateway computer Communication drivers such as drivers for IEC 61850 OpenADR EEBus The current version of OGEMA supports IEC 61850 The next version of OGEMA which is currently under development and will be employed in the EEPOS project will also support OpenADR and EEBus 6 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 9 of 34 en te Se p ZigBee Figure 3 System architecture of the OGEMA framework Source 4 The OGEMA data models act as a Hardware Abstraction Layer allowing both applications and drivers to be developed against the OGEMA application programming interface API definition For instance OGEMA applications don t directly connect to the controlled devices in EEPOS this will be for instance the BEMSs or neighbourhood level loads and production units Instead the OGEMA software plays the role of an operating system which allows applications to access different types of connected hardware and remote service providers via OGEMA data models without having to care of the actual physical realization of the connection Accordingly energy management control and monitoring applications can be developed without knowing the exact interface between the connected devices and OGEMA The same applies for the development of hardware drivers De
2. The NEMS should provide user friendly HCI for the NEMS operator to perform such Operations as connection of new BEMS DER loads setting of management automation parameters management automation application control monitoring of the current energy situation in the neighbourhood as well as predicted generation and demand profiles probably realized by web interface development of this service in consolidation with WP3 e Modularity The NEMS should have a certain range of modularity which offers replacing of specific parts modules of the NEMS by other systems modules So for instance on 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 19 of 34 the household level the potential stakeholders end users should be free to choose which BEMS they want to use e g JACE or Smartbox This could be realised using standardised conventional data communication protocols and data formats For example additional modularity of the NEMS can be obtained through developing communication drivers on the BEMS DER load side In such a way the communication between NEMS and BEMS DER load will always have the same data format Thus any BEMS DER load supporting these kinds of data communication and data formats is compatible with the EEPOS NEMS Being built upon the OGEMA framework the EEPOS NEMS will provide the installation of various applications for various monitoring control automation and energy manageme
3. 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 4 of 34 2 INTRODUCTION The main task of the EEPOS energy management system is to manage energy loads and generators in a neighbourhood electricity system in a cost effective way according to the following priorities e Maximum utilisation of Distributed Energy Resources DER in neighbourhood level grids Energy produced within the neighbourhood shall be consumed locally Among others this will be achieved by shifting of loads from times of low to times of high local energy production e Provision of load shifting services that could be utilized by an electricity market e Optional Distribution grid support congestion management peak load shaving voltage management phase balance Following these priorities the EEPOS Neighbourhood Energy Management System NEMS may reduce the overall electricity generation costs introducing neighbourhood load shifting services to the electricity market and the neighbourhood grid In other words the aim of the NEMS is to provide a cost effective support to future electricity systems with high deployment of DER Such management may be required in the future electricity systems The management algorithms will be discussed and defined in Task T2 3 These algorithms will be developed in the OGEMA software platform on neighbourhood level Optional service such as distribution grid support may increase the feasibility o
4. according the updated information from ICT Exception path Under critical circumstances in electricity market electricity price may reach extra high value several times higher than usual high price tariff or extra low value close to zero Under these circumstances electricity price becomes the highest priority in energy management after grid support In addition NEMS operator may involve in NEMS management through HCI Diagram NEMS based on OGEMA Applications Authors DERIlab Priority High 4 4 Performance criteria Performance criteria are criteria which will be used to evaluate how well the NEMS performs its tasks functions and how well the stakeholders support services have been developed The efficiency of the NEMS will be validated addressing the following results which will be compared between two scenarios i without and 41 with neighbourhood energy management e DER surplus how much DER generation surplus is utilised in neighbourhood using load shifting instruments e Energy saving how much energy is saved due to NEMS management These energy savings will be mainly result of reduced loading of distributed electricity grids due to increased utilisation of distributed generation Stakeholder support services play an important role for the active involvement of the stakeholders in building management e g setting giving higher flexibility for controllable loads Passivity from end user side may limit the use of the
5. flexible load resources efficiently Therefore it is important to show to the stakeholders mainly end users the effect of load flexibility to electricity bill reduction This can be implemented through the user computer interface This in turn may stimulate the end user to add some extra flexibility to appliances in other words to increase flexible load capacity which is the essential product for a feasible 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 30 of 34 operation of the NEMS as well as the BEMSs These performance criteria will be addressed in WP5 Demonstration where relevant 4 4 1 Finnish Demonstration T5 1 Performance of the Finnish Demonstration will be measured through the comparison between the simulated design and actual energy consumption Performance criteria will be energy efficiency in neighbourhood having reduction of greenhouse gas emissions as additional performance parameter The simulated performance of the design is done using dynamic energy simulation software IDA ICE In the operational phase of the neighbourhood the real performance is metered and then compared to the simulated design results Together we cen do nt YIT MP fowee ries Li maatyo 2067 Deam MPSS tpn Mein p ge ANU Heating Fioors Rooms Trends gt Mim page Total efficiency 03 2013 2 Bottom five Change from previous month 1 94 Sa UER TI 25 waa min TEIL was
6. habits For example washing machine management may be set in a way that the clothes should be washed at 7am in the morning So the flexibility period in this case is from the time when the washing machine is loaded up e g in the evening and the time at which the machine should be activated in order to finish washing the clothes before 7am During this period the washing machine is a flexible load These controllable load limitations however do not exclude the contribution of the NEMS in the aforementioned services Loads in households can for instance be divided as follows 1 flexible loads which can be set for automated control like washing machines 11 virtual storages like cooling devices or heating 111 semi flexible loads like vacuum cleaners Second group loads belongs actually under the first group but is separated because of its specific operation properties Semi flexible loads cannot be controlled directly but are characterised by a certain flexibility grade They can be controlled indirectly with price signals sent to final energy consumer The activity of the final energy consumer partly depends on the price difference For a feasible application of the NEMS it is important to find and implement the operation of the NEMS in a way which brings financial benefits to the all directly involved parties The end energy user for example is interested to reduce his electricity bill not necessarily due to reduction of energy cons
7. heating air conditioning and outdoor lighting to minimum until 1 3 2013 00 00 if the resident did not remember to do it from home control panel e Load shifting Support for the EEPOS end user ICT application based manual load shifting in apartment level For example situation energy sale for next 2 hours gt allow NEMS operator to send the sale message to residents and allow the resident using the EEPOS ICT tool to put his electric heating in heating season manually to maximum energy storing by overheating and after 2 hours automatic to zero until indoor temperature is in minimum of the set point range 4 3 Use cases The following use cases describe step by step how the functional capabilities of NEMS will be addressed among different systems e g NEMS and BEMSs DERs loads Similarly like the functions described in the previous subsection the use cases will be divided in two main groups use cases related 1 to data management and 11 to energy management in the neighbourhood The use cases described below are preliminary exemplary use cases which will be modified updated extended during the further process of T2 1 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 27 of 34 4 3 1 Data management NEMS BEMS DER load Name Related scenario Description Pre conditions Stakeholders Systems involved Trigger Basic path Post condition Exception path Data me
8. switches off the first time after finishing its learning phase and now computes a load plan 3 The BEMS incorporates the load plan into the current cost profile and broadcasts it 4 Other appliances will compute and send load plans giving rise to subsequent cost profile updates Delay time minutes t 0 15 30 a5 60 75 90 105 120 125 150 165 Buy profile cents kWh 25 Sell profile cents kWh soso s0 s0 so fao so fso as as 35 0 Total planned Load Watts 800 850 900 900 500 600 700 750 Total forecast Watts 200 300 400 300 700 s00 1200 3400 160200100 0 700 700 500 100 Machine profile to calculate W Cost runnint at t cents 4 4 44 3 1 1 25 Total cost for starting at t cents Figure 7 Profile calculation example This calculation is done for all time slots 15 minutes as long as the maximum delay time is allowed to do The connected devices are then planned to start at the least cost time in the array The device profile is added to the total load profile at the least cost time The same principle can be used to define a trading protocol between NEMS and BEMS with the advantage that the LCP Least Cost Protocol incorporates an abstraction level which prevents that the NEMS has to have the knowledge of each connected device within each BEMS e Interface between User and BEMS NEMS For the visualisation of the energy consumption and the communication with the user in Germa
9. with an additional profile for 24 hours with time intervals in which load shifting is preferred In such a way narrow peak or off peak load pikes may be prevented to happen Finally the energy management in each building would be performed separately by BEMS following the electricity price and suggested times for load shifting As mentioned before one limitation of the NEMS is the response time Another limitation is the capacity of flexible load services which can be expressed as absolute value of load the time when load should be switched on once activated and shifting period Flexibility characteristics of complex neighbourhood consumers like households will be result of all controllable appliances in the house Taking into account that in the neighbourhood the most of the loads are domestic loads they may have similar daily or weekly characteristics For some appliances the flexibility period may be quite short Thermal storages may have to be recharged every hour depending on heat isolation and acceptable temperature range For example in order to maintain the temperature in an acceptable range during the night a refrigerator cooling system is activated every hour consuming 200W power for Imin This load is not linked to a specific time and can be shifted several minutes or even hours earlier or later depending on the electricity price forecast Other domestic loads like washing machines have a long flexibility period depending on end user
10. 0 of 34 e NEMS BEMS DER load e NEMS ICT platform Knowing the main task of the NEMS and the required data communication with BEMS DER load and ICT the data communication interface can be defined in detail Furthermore ways of data transfer and data conversion between the different players of the system will have to be taken into account Basic requirement for data communication within the system will be the connection of all players of the system NEMS BEMS DER loads ICT platform to the internet Furthermore data communication protocols data transfer data conversion and ways to cope with data communication errors will have to be developed in a further stage of the task To define an EEPOS communication protocol knowledge of EEPOS data models is needed as communication will base on these data models These data models will be developed in T2 2 Accordingly the way of communication between neighbourhood and building level will be realized in accordance with T2 2 starting in April 2013 and taking in mind current standardization activities Furthermore communication protocols developed in topic related projects e g SmartCoDe www fp7 smartcode eu MoMa www modellstadt mannheim de RegModHarz www regmodharz de will be reviewed and where possible considered as a basis for further development The interfaces between the NEMS and the BEMS should be designed such that new BEMS not used in EEPOS can easily implement this int
11. 4 3 ARCHITECTURE OF THE NEMS PLATFORM 3 1 Envisioned NEMS platform architecture The provisional system diagram of the EEPOS NEMS and its communications is shown in Figure 1 The NEMS is the central energy management system within the neighbourhood NEMS exhibits a bidirectional data communication interface to the information and communications technology ICT platform addressed in WP 3 building energy management systems BEMS DER as for instance wind turbines or photovoltaic PV panels and neighbourhood level loads as for instance street lights ICT platform is a mediator between NEMS and external data sources like predicted electricity price profile and weather forecast required for efficient neighbourhood energy management NEMS calculates optimal energy management in the neighbourhood following the management aims see Section 2 and coordinates BEMS DER and distribution grid loads further in the text BEMS DER load about optimal load shifting After applying energy management NEMS sends to ICT platform feedback about energy management results Data communication interfaces between NEMS ICT platform BEMS DER load are described in details in section 3 3 From the software point of view NEMS will be based on OGEMA see section 3 2 The houses within the neighbourhood are equipped with energy management systems on the building level BEMS and connected to the NEMS In the real world demonstrations in Finland and Germany the
12. EEPOS e EEPOS automation and energy management platform Specification Page 1 of 34 Specification of EEPOS automation and energy management platform Authors Birthe Klebow DERlab Arturs Purvins DERlab Birthe Klebow DERIlab Kaspar Pae YIT Roland Kopetzky ENO Kalevi Pira VTT Veijo Lappalainen VTT Disclaimer The information in this document is provided as is and no guarantee or warranty is given that the information is fit for any particular purpose The user thereof uses the information at its sole risk and liability The document reflects only the author s views and the Community is not liable for any use that may be made of the information contained therein 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 2 of 34 Table of contents 1 Publishable executive summary c cccceeseeenseeenseeenseeenseeensenensenenseensenensenenees 3 2 ERR OGG LON osne oe ac cee seats eet eas eee ec ees e sec see ene eee sa save ees EE 4 2 1 Purpose ANG target QIOU Dairies cee saciesieesictnen vn EEEE EEEE 4 2 2 Contributions of partners cccceecccceeeeceeeeeceeeeceeeeeseeceseeeesseeeeseeessaeessaeeesaeessaeeesees 4 26 BA CINO ee E eee E ee A eee 5 2 4 Relations t0 0iher ACUVES norsusta asea a ia 5 3 Architecture of the NEMS platform ccccssscsesseeeeseeeesesenseeeneeeenseeeaseseasenensenes 6 3 1 Envisioned NEMS platform architecture ccccccccceececeeeeeseeeesse
13. EPOS energy performance monitoring and planning tools T3 3 and the EEPOS end user collaboration tool T3 4 based on the need of different type of end users stakeholders using the clients On the other hand most of these issues are possible to do using EEPOS ICT platform level user administration services 4 2 Functional capabilities Functional capabilities of the NEMS are the functions which the NEMS should have in order to fulfil its tasks in the neighbourhood energy system The possible tasks are described in the Deliverable 1 1 as application scenarios The functions listed below are the functions required to perform these tasks and will serve as a basis for the development of smart neighbourhood level control and monitoring applications in T2 3 Functional capabilities are divided in two groups e Monitoring and data management functions e Energy management functions Monitoring and data management functions perform energy monitoring and refer to data measurement transmission conversion and storage whereas energy management functions perform energy management The latter is supported by data management functions 4 2 1 Data management functions e Data collection Collect instantaneous energy data from BEMSs DERs loads Collect energy prediction profiles from BEMSs e g hourly profiles one day ahead Collect prediction data from ICT platform e g electricity price profiles weather forecast wind speed and solar irradiance pr
14. Page 3 of 34 1 PUBLISHABLE EXECUTIVE SUMMARY This report proposes the provisional platform architecture of the EEPOS neighbourhood energy management system NEMS The NEMS platform is a hardware and software base on which energy management in a neighbourhood can be developed and performed The EEPOS NEMS will perform energy management in a neighbourhood supportive way through communication with the Energy Management Systems of the Buildings within the neighbourhoods BEMSs with Distributed Energy Resources DER and loads on the neighbourhood level other than households e g street lighting as well as with the EEPOS Information and Communication Technologies ICT platform ICT platform is a mediator between NEMS and external data sources like predicted electricity price profile and weather forecast required for efficient neighbourhood energy management The EEPOS NEMS will be developed basing on the OGEMA framework The EEPOS NEMS platform specification is based on the overall system specification described in Deliverable 1 3 and designed in a way which supports the EEPOS application scenarios Task 1 1 potential stakeholder needs Task 1 2 and business models Task 1 4 The main functions of the EEPOS platform will be developed for future electricity systems with high deployment of DER and are as follows e Maximum utilisation of DER in neighbourhood level grids e Provision of load shifting services to electricity market e Optio
15. Programming Interface BAJA Building automation java architecture BAS 06 Building Automation System BEMG Building Energy Management System BMS Building Management System COM Component Object Model DALI Digital Addressable Lighting Interface DER Distributed Energy Resources DSO ien Distribution System Operator ECM wssocesatata Energy Conserving Measure EEM Energy Efficiency Measures EEPOS Energy management and decision support systems for Energy POSitive neighbourhoods EIB eeemeeyerere European Installation Bus EMS scossi Energy Management System GSM aaaea Global System for Mobile Communication Gd ROEE Human Computer Interface TOY certctetntere Information and Communication Technology B T Identifier ISDN Integrated Services Digital Network JACE Java Application Control Engine IVM ossexeastors Java Virtual Machine KNX KoNneX E E Least Cost Function LC eee Least Cost Protocol LON 5 Local Operating Network NEMBSW Neighbourhood Energy Management System OBIUX seconseteens Open Building Information Xchange OGEMA Open Gateway Energy Management Alliance OSGI Open Services Gateway initiative PE Dron Printed Circuit Board PE ce Power Energy PW E Photovoltaic RES Toere Representation State Transfer RSS seset Really Simple Syndication RID
16. Provisional NEMS platform architecture is developed e Necessary data communications including data interfaces are identified NEMS BEMS DER load NEMS ICT e Properties of different BEMS management systems like JACE and Smartbox are identified e Main support services of potential stakeholders are identified and discussed e Required functional capabilities of the NEMS for efficient management are identified and grouped in two categories data management energy management 5 2 Relation to continued developments Data models for the communication on the neighbourhood level will be developed in T2 2 of the EEPOS project New communication drivers to implement the interfaces described in section 3 3 and the EEPOS communication protocol will be developed at a later stage of T2 1 OGEMA applications for the EEPOS NEMS which implement the functionalities described in section 4 2 will be developed in T2 3 of the EEPOS project 5 3 Other conclusions and lessons learnt In order to increase the attractiveness and feasibility of the employment of the EEPOS NEMS in situations other than the project demonstrations its platform architecture should be stakeholder and business model oriented Here the feedback of the potential stakeholders is a key to successful deployment of EEPOS platform 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 33 of 34 6 ACRONYMS AND TERMS API cetsctsovessces Application
17. Ts mia A w u e tiris Energy efficiency 03 2013 aada Change from Bottom five previous month wa en 2 ae BIS 3 221 sre 1 78 les 3 Environment 03 2013 Change from Bottom five previous month 3338 24 z zm pn 3 nTa 7 TET E E ia 0 25 TE ERA 5s te e tf D 3 ba d L a 2 Figure 10 Example of performance indicator visualisation Performance and consumption indicators will be visualised to the end user stakeholders via a website 4 4 2 German Demonstration T5 2 Depending on the type of results we want to reach the demonstrator site will have to fulfil different targets The challenge is that energy savings can t be measured directly It is always necessary to compare different situations 1 The situation before the implementation of the ECM Energy Conserving Measure the baseline period ii The one after the implementation the reporting period 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 31 of 34 More practical is a calculation of the energy savings with a standardised calculation methodology Baseline Adjustments Energy efficiency 1 000 000 implementation Baseline Period Metered Energy Figure 11 Definitions of Baseline Reporting and Saving periods In general the energy saving is the difference of the consumption according to the energy efficiency measures EEM and the consumption pri
18. _about UA asp MID AboutOPC 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 17 of 34 Interfaces to apartment and building level smart meters data Interfaces to BAS BEMS NEMS and DER data real time and historical events and alarms Interfaces to apartment building and neighbourhood level load shifting data and related costs savings Interfaces to forecast data energy demand production and price forecasts 24 h energy tariff prices etc Interfaces for internal and external purchased sold energy volume data From EEPOS automation and energy management platform s interfaces point of view all interfaces which could enable produce information to the listed ICT platform interfaces would promote the T3 3 and the T3 4 implementations 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 18 of 34 4 NEMS REQUIREMENTS The NEMS requirements described in this section are divided in two groups e Stakeholder support services e Functional capabilities Stakeholder support services firstly were discussed in Task 1 2 Deliverable 1 2 Task 1 2 has identified all the possible stakeholders which could be interested in or connected to the EEPOS energy management platform and has listed their possible requirements Besides required functional capabilities of the EEPOS platform will mainly depend on the application scenarios which were analysed in Task 1 1 Th
19. a measurement system in consumers household may be supported with standardized communication drivers which could allow the NEMS to detect the consumer automatically and involve the system immediately in the management process 4 1 1 Finnish demonstration T5 1 Energy monitoring management in Finnish field demonstration is based on JACE system The JACE system is running the Niagara Framework which enables a library of different freely definable applications and services to be used Basic functionality and services includes a Baja based module architecture Building Automation Java Architecture data security and user access administration data logging history storage field bus drivers web server and communication interfaces Figure 9 Device Interfaces Enterprise Interfaces Human Interface Prrrrrrrr we Graphics x Horizontal Applications Baja e x Z c 2 Navin 5 al i p A Na Figure 9 Illustration of the JACE Niagara architecture The human communication interface is provided through TCP IP using a web browser through the built in web server Enterprise communication between the NEMS server and the JACE is preferably done using the oB1X standard protocol where JACE is implemented as an oBiX server 4 1 2 German demonstration T5 2 German field test uses Smartbox as BEMS management The Ennovatis Smartbox collects all energy data of a building and transmits it for further processing It enable
20. alues sent to the NEMS represent the latest energy situation in the neighbourhood BEMSs will also provide predicted load profiles to the NEMS which for example is built according to the electricity price profile Detailed information on electricity appliances in households is not required but only the total instantaneous and predicted energy consumption Load shifting profile then is sent to the ICT platform as a feedback which indicates the influence of variable electricity price to the load shifting For BEMS DER load communications the data sent to NEMS can be summarized for instance in a data array with 25 columns and 5 rows as depicted in Table 2 Taking BEMS as an example the first column contains instantaneous values and information for BEMS identifier ID time instantaneous power rated power and location in the grid Columns 2 25 contain hourly prediction data one day ahead for power load where relevant In the case of DER and neighbourhood loads NEMS will receive only data in the first column Table 2 Required data sent through interface BEMS DERNoad gt NEMS Name Rated power Location 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 12 of 34 3 3 2 Finnish Demonstration T5 1 JACE Java Application Control Engine has built its support for several different field bus communication protocols such as KNX Konnex Modbus LON Local Operating Network DALI Digital Ad
21. asurement between NEMS and BEMSs DERs loads data measurement communication and storage To be specified after publication of D1 1 Data communication between NEMS and BEMS DER load is required in order to optimise the energy management in households taking in account the energy situation in the neighbourhood In such a way additional neighbourhood related services can be achieved through energy management in buildings These services are mainly grid support services described in subsection 4 2 2 1 EEPOS NEMS is installed on appropriate hardware 11 household is equipped with a BEMS 111 NEMS and BEMS DER load are connected to data communication network preferably internet iv data communication between NEMS and BEMS DER load 1s provided NEMS operator BEMS DER load operator EEPOS NEMS BEMS DER load NEMS and BEMS DER load are running NEMS is waiting for BEMS DER load communication BEMS DER load communicates with NEMS frequently e g once per one hour sending current energy measurements Once NEMS receives from BEMS DER load energy measurement data it provides to BEMS data about updated predicted electricity profile e g for 24 hours in ahead if any NEMS stores energy measurement data If BEMS DER load receives updated price profile it recalculates energy management algorithm and sends the updated information about planned load shifting to NEMS NEMS has stored the latest energy measurements BEMS DER load manage
22. ccur due to rise of difference between generation and load In this case in order to maintain the frequency in the range centralised generation units are adjusted to meet the load demand In smart micro grids frequency control can be partly supported involving electricity end users Load shifting could contribute similarly to frequency control like flexible centralised generators However the NEMS cannot participate in the frequency regulation as primary reserve since it requires immediate response Due to limited reaction time which may be up to several seconds due to the execution of management algorithms the NEMS can offer its services in secondary reserve which requires response within several seconds depending on the country 2 Secondary reserves then keep the frequency in a range for a time necessary to launch the tertiary reserves starting from few minutes which replaces primary and secondary reserves and maintains frequency in a long term The ability of the EEPOS NEMS to participate in frequency control will depend also on data communication frequency between NEMS and ICT e Optional Voltage control like frequency control should be maintained in a specific range in order to ensure high power quality Conventionally voltage control is realised through switching autotransformer tap changers rearranging power flows among transmission lines or through reactive power injection in electricity system The first two of these means a
23. dressable Lighting Interface Mbus BACnet etc The data within in the JACE system is normalized using the Baja Building Automation Java Architecture The data format in Baja is XML Extensible Markup Language using the oBiX Open Building Information eXchange standard oBIX is an industry wide initiative to define XML and Web services based mechanisms for building control systems Any measurement or history data in the JACE system is available through this interface through the oBIX web service lt objhref http localhost obix is obix Lobby xsi schemaLocation http obix org ns schema 1 0 obix xsd gt lt retname watchservice hret watchservice i s cbhik Wartcnservice gt lt ret gt lt refname config href obix config is obix def baja Station display Station di splayName Config icon ord module icons x16 database png gt lt ref gt lt refnamne eabont hrer anout is obi sx About gt lt rer gt lt refname histories href histories display com tridium history db BLocalHistoryD atabase displayName History icon ord module icons x16 historyDatabase png gt lt r ef gt lt refname continuousControl href obix config Drivers ObixNetwork exports is obi x def obixDriver 0ObixExportFolder obix def baja Folder display Obix Export Folder displayName Exports icon ord module icons x16 folder png gt lt ref gt lt opname batch href batch in o0bix BatchIn out o0bix Ba
24. e NEMS hardware an operating system and a Java Virtual Machine JVM to run on the underlying operating system are needed For the EEPOS project a Linux based operating system probably a Debian derivate will be chosen Having provided these three components 1 the EEPOS NEMS hardware 11 a suiting operating system and 111 a running JVM OGEMA can be installed The OGEMA software provided by the OGEMA alliance consists of an OSGi Open Services Gateway initiative 5 framework and the OGEMA framework OSGi is a Java based framework which allows that applications so called OSGi bundles are started updated or stopped at runtime Each OGEMA application usually installs as one OSGi bundle Using OSGi OGEMA provides a modular structure which allows that various energy management control and monitoring OGEMA applications that control different devices within the neighbourhood can run in parallel The system architecture of the OGEMA framework is shown in Figure 3 The structure consists of the following layers compare also D1 3 OGEMA basis services OGEMA services that will be relevant for the performance of the EEPOS NEMS are for instance Plug amp Play registration of new devices resource control based on user specific and application specific access rights and permissions definition of standardized services for typical functions Furthermore each OGEMA framework provides a graphical user interface for user control of the system
25. ears can be used for the baseline calculations in the project The general subjects of the German demonstration are e Energy monitoring e Energy management control of the existing energy consumption systems of the buildings In BEMS the aforementioned general subjects are addressed as follows e BEMS provides measurement data of room temperature and humidity heating consumption cold or and hot water quantity and electric energy consumption to the tenants and the energy manager of the housing association BVL to change energy consumption behaviour and calculate energy savings with the measured data e Installation of smart thermostats for the heating radiators in selected rooms of each dwelling combined with window contacts which allow switching on and off the heating if a windows will be opened In additional BEMS is designed to provide the following data via the web interface to the tenants e Weekly data of heat consumption and water hot and cold quantities e Hourly electric energy consumption of every dwelling e costs of the above stated types of consumption e CO2 emissions for electric energy and heating energy consumption e room temperatures of certain heated rooms in the dwellings 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 26 of 34 e relative humidity e Outside temperature Recently the heating system was changed from central gas heating to a local district heating netw
26. eeenesensneeseaeeenees 6 3 2 Role of OGEMA required hardware and operating system ccccseeeeseeeeeeeeeeees 7 3 3 Interfaces of the EEPOS NEMS 0 cccccccccseccseeeeeeeseeeeseeeseeeseeeeeueeseueeseetaneesaees 9 3 3 1 Provisional data CxCNangQe ccccccccccssssscceccceeseceeeceeeeeeeeceeaaeeeessseaaeeeeessaageeeeesseaess 10 3 3 2 Finnish Demonstration T5 1 scsincrsrcetusrateatasanteaaessieessensteussnentensinendaiucettueaterstentsrends 12 3 3 3 German Demonstration 15 2 cccccccsssseccecceeseceeeceeeeeeeeeceeeeeeeeesseaeseeessseaeeeeesseaess 12 TA FPEPRO TOT ea E E R 16 A NEMS requirement S sisiccesssecdscatesesesedesetcessecesewastesateesdeced cent ecusssetesseccadecstdcaseistenssas 18 4 1 Stakeholder support services ccc cece eeccceeeeceeeceeeeceeeeaeeeseeeeseeeeaueeseueeseesaueeneeeeaes 18 4 1 1 Finnish demonstration 15 1 ccccccccesccceccseeseeeeeeeeeeeeeeeseeeeeeeeeeeeeeceeesseaeeeeessaeeeees 20 4 1 2 German demonstration 15 2 ccccccsssccccecsesseeeeceeeeseeeeeseeeseeeeeseeeeeeessaageeeeessaeeeees 20 4T EEPO IO Toe a E 21 42 F NcUoNalcapaDillES sen E a a a 22 4 2 1 Data management functions cccccceeseeeceseeeeceesseecceeseeecsaueeeeseaseeessageeessaneeeeseass 22 4 2 2 Energy management functions ccceeececcseseeeccesseecceeseeeceeeeecseuseeessaseeessaneeessaaes 22 4 2 3 Finnish Demonstration T5 1 wiciuassazscuw sind sasaavaucsvredediotai
27. eesneos Research and Technological Development ER Y renee EEPOS Task x y AMLs Extensible Markup Language 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 34 of 34 7 REFERENCES 1 Alberto J Lamadrid Tim Mount Ancillary services in systems with high penetrations of renewable energy sources the case of ramping Energy Economics Volume 34 Issue 6 November 2012 Pages 1959 1971 2 ENTSO E 2012 Operational Reserve Ad Hoc Team Report Final Version https www entsoe eu fileadmin user_upload _library resources LCFR 2012 06 14_ SOC AhT OR_Report_final_V9 3 pdf 3 Ioulia T Papaioannou Arturs Purvins Evangelos Tzimas Demand shifting analysis at high penetration of distributed generation in low voltage grids International Journal of Electrical Power amp Energy Systems Volume 44 Issue 1 January 2013 Pages 540 546 4 OGEMA Open Energy Management Gateway Alliance Online resource www ogema org accessed 2013 03 11 5 OSGi Alliance Specifications HomePage Online resource www osgi org accessed 2013 03 11 6 OGEMA Open Energy Management Gateway Alliance Work Plan OGEMA 2 0 Online resource www ogema org projects ogema_2_0 work plan index html accessed 2013 03 11 2013 05 17
28. erface and thus become EEPOS compatible The REST interface of the OGEMA framework will offer a common solution for this challenge cf Figure 1 Accordingly in the following months REST communication drivers for the BEMSs JACE Smartbox and the ICT platform supporting the EEPOS data models and the EEPOS communication protocol will need to be developed within the frame of Task 2 1 and Task 3 1 respectively For the EEPOS project it is necessary that time series e g energy production or consumption forecasts can be communicated through REST For data security reasons the OGEMA REST interface shall support multi user access and user roles This means that different players BEMSs DERs loads ICT platform connected to the NEMS should not have access to all OGEMA resources but only to a certain subset of them relevant for the respective level The functionality of the aforementioned data interfaces will be tested in T4 2 laboratory prototype 3 3 1 Provisional data exchange The data exchange among the mentioned parties is bidirectional The required data content depends on the type of data sender receiver Below some first examples of required data sent through the interfaces and their description are listed the examples will be extended and updated at a later stage of the project e BEMS gt NEMS Authentication Instantaneous load Power connection capacity Location needed for electricity grid congestion mana
29. f EEPOS platform and may support indirectly one of the main project objectives reduction of energy losses However it may be not addressed in laboratory and field tests or will be addressed partly 2 1 Purpose and target group The purpose of this report is to develop a provisional specification of the EEPOS neighbour hood automation and energy management system platform NEMS platform This platform should be in a line with the application scenarios for the EEPOS platform studied in Task 1 1 The target group of this report includes the EEPOS project consortium and all the relevant stakeholders identified in Task 1 2 The report describes in details the design process of the NEMS platform architecture addressing the role of NEMS and data communication ways Possible benefits for the target stakeholders will be analysed in detail in the business models developed in Task 1 4 2 2 Contributions of partners Contribution of each partner in this report is listed in Table 1 Table 1 Contribution of partners in this report Partner Section DERIab 1 7 YIT 3 3 2 4 1 1 4 2 3 4 4 1 6 7 VTT 2 3 3 3 4 4 1 3 4 2 5 4 4 3 6 7 ENO 3 3 3 4 4 4 1 2 4 2 4 4 4 2 6 7 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 5 of 34 2 3 Baseline Automation of local electricity grids is one of the steps towards smart grids Automation has already started by installing smart meters which frequentl
30. gement Predicted load profile e g average hourly load values one day ahead e NEMS gt BEMS Electricity price profile e g hourly price values one day ahead Optimal load shifting profile e g indicating time periods of high electricity price when load shifting is preferable Weather forecasts 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 11 of 34 e PV system gt NEMS Authentication Instantaneous PV system generation output Rated power Location needed for electricity grid congestion management e Street lighting gt NEMS Authentication Instantaneous load Rated power Location needed for electricity grid congestion management e NEMS gt DER load Power command to reduce load generation to specific value in emergency situations Weather forecasts Possibly load shift demands e ICT gt NEMS Electricity price profile e g hourly price values one day ahead Weather forecast e g hourly price values one day ahead on solar irradiance wind speed and temperatures Neighbourhood demand profile e g hourly average values one day ahead Optional Required load shifting profile from distribution system operator DSO e g hourly average values one day ahead time step may be shorter in order to address specific DSO needs e NEMS gt ICT Instantaneous demand generation values of BEMS DER load Predicted neighbourhood load profile Instantaneous v
31. households will be equipped with the energy management systems JACE or Smartbox respectively In the Laboratory prototype the modelled households will be simulated and controlled by OGEMA systems 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 7 of 34 REST ICT Platform A focem dD Control and Monitoring Apps gt T2 3 OGEMA Data Models gt T2 demp GEMA Services t Comm Driver mi Driver __4 Driver REST Interface A ii y REST Comm Driver VIZ 22 AS S P Figure 1 Provisional NEMS platform architecture and its communications with ICT platform BEMS DER and distribution grid loads 3 2 Role of OGEMA required hardware and operating system The EEPOS NEMS will run on an OGEMA framework which provides a hardware independent execution environment for energy management applications An architecture scheme of OGEMA is shown in Figure 2 As an essential requirement a computer system on which the OGEMA framework and accordingly the EEPOS NEMS will run is needed OGEMA implementations run on a large variety of devices including personal computers and embedded computers with low energy consumption A specific system architecture will be selected at a later stage of T2 1 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 8 of 34 lc CD os Figure 2 OGEMA Architecture Scheme Source 4 On top of th
32. ion and cost overview The web interface has an integrated administration function which has the ability to provide different information to the user and also the energy manager of the NEMS The user will only have access to the data of his dwelling and will not be able to compare his private consumption data to the average of the building The energy manager will have access to the building consumption data and the consumption data of all dwellings Additionally information like the local weather forecast will be implemented in the webpage to be shown on the tenants Tablet PC 3 3 4 EEPOS ICT Data communication interface between automation and ICT platforms will be based primarily on Web service technology As a starting point the services of existing standards e g BACnet oBIX or OPC UA will be utilised Additional EEPOS specific features will be specified and implemented utilising other standards like OpenADR The data communication between automation and ICT platform will be described more detailed in the next version of this deliverable EEPOS clients are utilising mainly EEPOS ICT platform web service APIs and related building and neighbourhood level data Very preliminary ICT platform related web server interfaces for EEPOS clients are as follows Building level data can be sent forwarded through the EEPOS automation and energy management platform or get directly to the original system i https www opcfoundation org Default aspx 01
33. ion rates and low load in a distribution grid Shift able load is moved to be switched on during these times This decreases the difference between generation and load in the neighbourhood grid and as a result voltage decreases In addition this process leads to a decrease of loading of distribution grid corridors and of electricity surplus So there is no risk that such voltage control could cause grid congestion Frequency control however may conflict with two other services voltage control and congestion management e g in a situation of rapid frequency rise during time of congestion in a neighbourhood grid In such a situation frequency control requires activating controllable loads in the coming minutes but this would overload the local grid In situations like this it is assumed that higher priority is given to grid support services in the neighbourhood voltage control and congestion 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 24 of 34 management whereas frequency control with neighbourhood resources has a lower priority since it can be realised with other resources in the electricity market Another NEMS task is to coordinate the distribution of the flexible loads in order to prevent potential congestion or voltage violation in distribution grids This coordination is required in the neighbourhood since there is no communication among the buildings The NEMS could provide each household
34. is Smartbox 2 x 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 14 of 34 All relevant states power impulse inputs data transfer LON connection status relays outputs are shown via On Board LED s For every channel there is a separately definable measuring and storing cycle Examples for available additional adapters and protocols are LON EIB European Installation Bus KNX or wireless modules based on ZigBee and EnOcean The firmware functions covers a wide range of different communication and calculation modules like M Bus function M Bus Analyzer Peak load single M Bus router to record the M Bus e g between level converter and BMS Building Management System firmware for serial modem port via TCP IP ASCII protocol field bus reading ModBus reading ModBus and ASCU protocol writing Peak load Complex time scheduler weekly daily special dates automatically message via e mail and SMS with internal status In the German Demonstrator we have the following interfaces to consider e Interfaces between Smartbox and the sensors counters devices within the BEMS the interface depends on the possibilities of the interacting devices Smartbox supports a wide range of interfaces and protocols to connect and communicate e Interface between Smartbox BEMS and OGEMA NEMS for the communication with superior EMS Energy Management System the Smartbox supports different communication module
35. is section discusses in more details the stakeholder support services and the functional capabilities relevant to the NEMS The latters are described in use cases indicating how functions will be addressed At the end of this section performance criteria which could be used for assessment of the NEMS performance are discussed 4 1 Stakeholder support services Stakeholder support services are services which the NEMS should provide to stakeholders in order to ensure a simple integration of new energy consumers and generators in the NEMS and to fulfil specific stakeholder needs These services are mainly software architecture based and are as follows e Plug amp play 1 Connection NEMS shall allow adding new players BEMS DER loads with minimum effort This may be performed through automated detection and registration of newly connected BEMS DER loads 11 Settings Complex consumers like BEMSs are households equipped with energy management systems BEMSs are characterized by some demand flexibility These flexibility settings will furthermore be used by the NEMS for optimal energy management 111 Automatic updates on consumer demand flexibility BEMS flexibility may change if the end user has the ability to change the flexibility settings of appliances in the household The NEMS in this case should be supported with updated information regularly in order to acknowledge its management resources e Human Computer Interface HCI
36. ith less PE Power Energy consumption According to the project targets in the German Demonstrator we ll use in the first place a combination of B and D 4 4 3 EEPOS ICT From performance criteria point of view EEPOS client applications T3 3 and T3 4 are used to visualise how well the NEMS performs as follows e Energy saving and related costs savings statistics in apartment building and neighbourhood level e Load shifting and related cost saving statistics in apartment building and neighbourhood level e DER related energy production and related CO emissions statistics 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 32 of 34 5 CONCLUSIONS The EEPOS neighbourhood energy management platform makes accessible new support services for the electricity market and grids through load shifting in neighbourhood In this report a provisional architecture of NEMS platform and its communications with ICT and BEMS DER load is developed This is the first step in NEMS development Such platform architecture could provide efficient use of neighbourhood flexible load resources focusing on the following management priorities e High utilisation of DER in local grids e Power balance in electricity market e Electricity consumption and greenhouse gas emission reduction due to reduced loading of electricity grids e Optional Neighbourhood electricity grid support 5 1 Summary of achievements e
37. l PID heating regulation Based on this platform the services within the BEMS level and for the combination with the NEMS can be already partly put into practice Plug amp play requires functions like automatic port and or bus scanning the recognition of the addicted devices and the automatic setting of parameters The Smartbox can act as a converter between simple sensors and more or less stupid devices that do not support plug amp play These devices can be connected to the F in different ways and the Smartbox allows the superior EMS a high level communication with plug amp play style This is currently used for example in the Ennovatis Energy Management System to automatically update System configurations scanning the connected Smartboxes for changes The Smartbox itself currently do not have an integrated human user interface The user interaction is done by different tools Software tools e g the Smartbox manager for the configuration the Ennovatis Controlling System for data analyse and reporting or a Smartbox App for the visualisation The flexible interface architecture allows the combination with nearly every high level interface Modularity is a basic feature of the Ennovatis systems The Smartbox itself can be enhanced with different Hard and Software modules and it is also possible to use the Smartbox as a modul being part of a BEMS NEMS The application support is currently reduced to the configuration
38. ment is recalculated following the updated electricity price profile if received from NEMS In this case NEMS also receives updated information on planed load shifting BEMS DER load operator end user may involve in BEMS DER load management through HCI In this case feedback to NEMS will include also human factor In this case NEMS is informed about human interference 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 28 of 34 Diagram Authors Priority NEMS based on OGEMA BEMS OGEMA Fd le JACE a zt Smartbox 222 s Y DERIab High 4 3 2 Energy management in NEMS Name Related scenario Description Pre conditions Stakeholders Systems involved Trigger Basic path Energy management in NEMS maximum DER utilisation in local grid electricity market support and local grid support To be specified after publication of D1 1 NEMS performs energy management on the neighbourhood level It is a mediator between ICT and BEMS DER load In addition to data management NEMS also performs energy management on neighbourhood level NEMS supports BEMS DER load with information for optimal load shifting Optimal load shifting is performed according two priorities 1 maximum utilisation of distributed generation in local grids and 11 electricity market support and 111 local grid support The latter focuses on peak shaving voltage management and
39. n Demonstrator each dwelling will be equipped with a Tablet PC The data will be provided via WiFi Connection using the internet connection of each separate household The technical data of the user terminal are Widescreen Tablet PC with Android 4 0 1 2 GHz Processor 1GB DDR M RAM Built In Camera on Front Microphone Speaker 3 5 mm Earphone Jack HDMI Output WIFI G Sensor and USB Host Function Also for the German Demonstrator the same internet portal as tested in the German pilot will be used to show the tenants and the energy manager of the building their consumption data as well as the temperatures and humidity of their dwellings The tenants will need a username and a password to get access to their consumption data Therefore a data administration system will be installed for the web interface 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 16 of 34 Kostenprognose Oktober ennovatis Strom Wasser Warme ae Startseite Laufender Monat LCH Laufender Monat CH Laufender Monat CH Verbraucht kWh 110 23 Verbraucht kwh 110 23 Verbraucht kwh 110 23 Kosten 24 76 Koster 24 78 Kosten 24 78 Laufender Monat CH Laufender Monat CH Laufender Monat CH Verbraucht kWh 110 23 Verbraucht kWh 110 23 Verbraucht kWh 110 23 Energiespartipp Kosten 24 78 Kosten 24 78 Kosten 24 78 A D Kaui r Figure amp Example of a web interface heating consumpt
40. nal Distribution grid support congestion management peak load shaving voltage management phase balance The main instrument for performing these tasks will be load shifting within the neighbourhood The NEMS platform should provide the necessary communication among electricity system stakeholders in order to ensure optimal utilisation of controllable loads leading to efficient implementation of the EEPOS tasks Communication interfaces are described between the following parts of EEPOS platform e NEMS BEMS DER load e NEMS ICT platform Furthermore the following potential stakeholder support services are identified and are mainly based on software architecture e Plug amp play e Continuous operation e Human Computer Interface HCI e Easy programming e Modularity e Persistent storage of data and e Application support application settings e Software maintenance e User Administration and data security Application scenarios and business models are addressed in functional capabilities which NEMS should consider e Data management functions such as data collection data transfer and calculation e Energy management functions such as high DER utilisation through load shifting In addition properties of specific energy monitoring management systems on household level are described In the Finnish and German field tests WP5 JACE Java Application Control Engine and Smartbox systems respectively will be used in households
41. nneeduslndiauisnearivariediniivoatacuatinn 25 4 2 4 German Demonstration 15 2 cccccccscccecceesseceescaeseeceeeeeeeeeeeessaeaeceeesseageeesessaeeeess 25 AES EEPOS IO Tora Ea T 26 NSS CSCS ET A AN A A E O E EE EE E 26 4 3 1 Data management NEMS BEMS DER 0ad ccccccesssecceeeeeeeceeeeeeeeceeesaeeeeeees 27 4 3 2 Energy management in NEMS cccceecccecsseeeeeeeeeeeeeeeeesseeeeeeseeseeessegeessnaeeeeesaaes 28 44 Perormance Cried seseris e a a vec vanben love 29 4 4 1 Finnish Demonstration 15 1 cccccccccsseeeeeeseeeeeeeeseeeeeeeeeeeeeeeeeseaseeessaeesenaneeeenaees 30 4 4 2 German Demonstration 15 2 ccccccccccccccssssseeeeeceeeeeaeeeeeeceeeeeessaeeeeeeeeeeesssaeaeeeeeeeees 30 ARS EEPO O e a tg aac dnicinndanntaamndencammanutadaqaidieanmtoustataedsbdeaananGas E 31 D CONCLUSIONS ssrasirirosm amani ran inanasan ne naani TAa inian iTar a nani anami A NONIE A anarian 32 5 1 Summary Of ACMICVEMECINS siseste A ASEEN Ea 32 5 2 Relation to continued developments cccceecceececeeeeceeeeeeeeseeeeseeeseeeeseueeseeesaeeess 32 5 3 Other conclusions and lessons learnt nnnnannnnnnennnnnnnnnnnnonrrnnrrnrrenrrnrrsnrrnrrennne 32 O ACTONYMS and TONNS anisses nE EEEO EErEE Oe EEEa 33 7 References sennarenewacnensaentunupsectunuesnedneniaen fanunsnsbuseevnstveniseabedunseateussunstveunsanennsuateweines 34 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification
42. nt applications see section 3 2 on OGEMA applications The NEMS operator will have the opportunity to decide which applications he needs and wants to use Furthermore he has the possibility to develop and implement additional applications for site specific monitoring control automation management purposes In such a way more freedom is given to potential stakeholders for using the EEPOS system and adjusting it to their specific needs e Application support The NEMS shall support logging and evaluation of text log messages as well as of measurement data series Furthermore a user manual shall be provided e Software maintenance The NEMS should provide proper maintenance update functions e g remote updates e g for bug fixes This feature is supported by OGEMA and will especially be needed for the demonstrations in Germany and Finland e Continuous operation The NEMS platform shall allow the installation of additional monitoring management automation applications T2 3 without stopping other already running processes This feature is supported by OGEMA cf section 3 2 e Easy programming OGEMA Services for application developers 1 Resource Administration automated registration discovery of new devices plug amp play based on standardized data models already existing or developed in T2 2 and device services 11 Application Administration and Time Control Administration of applications the system time they a
43. nterface for distances until 1 2 MByte e Ethernet interface 10 100 MBit e one free socket for modem analogue ISDN Integrated Services Digital Network or GSM Global System for Mobile Communication The layout is shown in the following figure m am Ora A a 13 14 wou a CF CARD pan a a i 13 Be E 33 tes 155 D a rats ETETETT on oo sor ee a yy nn pawb mes 5 45 Option compact flash card a 4 Jumper digital inputs active passive signal 16 Option LCD keypad 8 temperature inputs Pt 1000 17 Battery for real time clock 6 analog inputs 2 relay inputs or 2 additional analog inputs LED DIAG COM 18 Jumper analog measurement 0 to 10 V O to 20 mA Interface M Bus PRG RS 232 Input 12 to 24 V DC supply power via level converter PN Jumper PRG firmware Interface FIELD 1 RS 232 ta Interface FIELD 2 RS 232 OIOI Interface FIELDBUS RS 485 1 pa y O d N Jumper RS 485 termination Interface TCP IP 10 100 MBit Key Fi Key reset Output 12 to 24 V DC supply power Connection analog telephone line Connection ISDN telephone line LED GSM DCD TX RX Jumper socket supply 3 5 V 5 5 V Jumper analog or ISDN telephone output utilized Module socket analog ISDN GSM Bluetooth Jumper use A6 A7 as analog input or as K1 K2 relay output Figure 5 Layout and functions of the Ennovat
44. of own programs combining the available modules in the Smartbox configuration and storing these programs as templates for further use The new Smartbox V 4 platform will offer an open application platform with a wide range of functionality For software maintenance the Smartbox support remote Firmware update and configuration support for the persistent storage of data and application settings the 2 MB OnBoard memory can be used as well as the 2 GB additional memory offered by the microSD card Security of data is currently supported by a 3 step password security without reading parameterizing Higher level security features like user and group administration are also part of the Smartbox V 4 development 4 1 3 EEPOS ICT EEPOS client applications related to ICT platform are related not only to field demonstrations but also to laboratory activities The client is utilising input data from EEPOS ICT platform 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 22 of 34 applications related to neighbourhood energy management For that reason the following EEPOS automation and energy management platform related services are not mandatory but would promote T3 3 and T3 4 implementations by offering e User administration service e Security of data communication Support of the definition of priorities and specific access rights and permissions for different EEPOS ICT platform based applications like the E
45. ofiles and neighbourhood demand profiles e g hourly profiles one day ahead e Data transfer ICT NEMS NEMS BEMSs DERs loads communication frequency e g once per hour or on demand e Calculation Calculate energy production based on weather forecast 4 2 2 Energy management functions Energy management in the NEMS refers to the management of active electricity load in the neighbourhood Following the aims of the NEMS firstly the load shifting services will be used for maximum utilisation of DER in local grids Furthermore the load shifting service in the NEMS is related with power balance regulation active power control in the electricity system and will be discussed from the viewpoint of frequency control as services for the electricity market In addition congestion management peak load shaving voltage control and phase balance will be discussed as optional services for DSOs The effectiveness of these management functions depends on the available capacity of controllable loads 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 23 of 34 e Maximum utilisation of DER in neighbourhood grid This is the aim of NEMS which will be realised through load shifting in order to balance electricity generation and consumption in the neighbourhood e Frequency control is performed in order to keep the frequency in the electricity system in an acceptable range Frequency deviation from this range can o
46. or to the EEM implantation see Figure 11 In the German demonstrator we have detailed data from since 2008 therefore we have the advantage of a long and significant baseline period Heat and Power consumption however are influenced by different variables like energy consumption habits occupancy etc which makes a direct comparison difficult since it might not be obvious if an observed difference is caused by EEM or other effects If the differences are small in absolute values as it is the case in the EEPOS demonstrator it is necessary to eliminate these influences as much as possible Ideally the two periods which are to be compared should have the same conditions e g be in the same time of the year with the same weather conditions Where this cannot be achieved suitable adjustments have to be made We identified four possible methods to evaluate and document energy savings A the measurement of consumption of the whole facility this option is applicable for energy savings gt 10 due to measuring the whole facility B the Measurement of Key Parameters of ECM affected systems this option is mainly used to determine energy savings for new behaviour or and new equipment submetering C the Calibrated Simulation the simulation option is primarily used to analyse special effects using these models D the Demand Response Methodology this Option is useful to document the effects of shifting the energy demand to other periods w
47. ork powered by a thermal power station that provides heating energy for all buildings in the neighbourhood The building Martinstr 1 1s additional one equipped with a heat pump 4 2 5 EEPOS ICT With the following data and energy management functions ICT will support NEMS in EEPOS platform T3 3 and T3 4 Data management functions e Data collection time step minimum hour 10 minute preferred 1 minute when data point is selected for real time monitoring Collect energy consumption and DER generation data from NEMS Collect from NEMS load shifting data and related costs savings from apartment building and neighbourhood level Internal and external purchased sold energy e Alarms and events Alarms and events forwarding Forward DER BEMS building automation system BAS load shifting and consumption related alarms and events immediately from apartments buildings and neighbourhood to the EEPOS ICT platform e Data storage No data storage requirements if the data is sent or forwarded to the EEPOS ICT platform e Data forecast Energy demand production and price forecasts 24 h energy tariff prices etc Energy management functions e Energy saving Support for the EEPOS end user ICT application based manual energy saving modes in apartment level For example situation long holiday back to home 1 3 2013 17 00 gt allow the resident using the EEPOS ICT tool to put his home to long away mode electric
48. phase balance in electricity distribution corridors NEMS management is performed in the interests of the final energy user 1 NEMS is installed on appropriate hardware 11 NEMS ICT and BEMS DER load are connected to data communication network 111 data communication between NEMS ICT and BEMS DER load is provided iv NEMS is programmed for neighbourhood energy management NEMS operator NEMS NEMS is running NEMS is waiting from ICT updated information on either price weather or demand prediction profiles further in the text profiles Once NEMS receives updated profile it executes energy management algorithm NEMS calculates optimal energy management in the neighbourhood according the updated information from ICT This process includes also calculation of generation profiles of DER using weather forecast data 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 29 of 34 The output of NEMS calculation then comprises optimal time slots for load shifting unique for every household e g 24 hours in ahead In other words NEMS suggests households BEMS to which time periods flexible load should be shifted Firstly NEMS uses flexible load to minimise electricity generation surplus in the neighbourhood secondly NEMS supports local electricity grid with load shifting BEMS management has higher priority than NEMS management Post condition NEMS has performed energy management neighbourhood
49. re currently practiced mainly in transmission grids which are meshed and automated Distribution grids however are not automated and are usually radial Therefore the main mean for voltage control in distribution grids is reactive power injection In the future electricity systems additional need for voltage control in distribution grids may occur under high deployment of DER like photovoltaic systems At high generation and low demand in the neighbourhood low voltage grids voltage may exceed the upper limit This challenge is studied by Papaioannou et al 3 concluding that in low voltage lines the voltage can be managed efficiently not only by reactive power injection but also by load shifting This could be realised by the NEMS as a service to DSO e Optional Phase balance is another service which could be realised through load shifting It will contribute 1 to additional reduction of electricity transferring losses 11 in reduction of the required distribution feeder capacity and 111 in improvement of voltage profile in distribution grid e Optional Congestion management is an additional service which could be provided by the NEMS to the DSO in order to prevent possible modification or reconstruction of existing distribution grid corridors Maximum utilisation of DER voltage control and congestion management can be applied simultaneously since they do not conflict each with other Voltage control manages voltage rise at high generat
50. re using and the way they are executed 111 Standardized Services for OGEMA functional capabilities Services that will be needed for many applications e g the user and neighbourhood level web interfaces e Persistent storage of data and application settings OGEMA supports persistent storage of e g preferences application data or structures that are commonly needed by the running monitoring control automation management applications This means that data will still be accessible after a restart or an unintended shutdown of the NEMS e User Administration data security The NEMS shall support the definition of priorities and specific access rights and permissions for different applications according to agreements between different actors in the distribution grids 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 20 of 34 All the aforementioned stakeholder support services are related either with NEMS operator or with BEMS DER load or with both These services will be addressed in the OGEMA based NEMS prototype system which will be tested and validated in the Task 4 2 as well as in the field demonstrations Work Package 5 The quality of the services related to the addition of new BEMSs DERs loads however also depends on the systems of the BEMSs DERs loads which communicate with the NEMS These services are 1 plug amp play 41 modularity and 111 data security For example a dat
51. s a completely new 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 21 of 34 high efficient energy management of buildings All data concerning energy consumption of buildings are collected fully automatic and round the clock and transmitted for further detailed processing The Smartbox is supplied in a control cabinet which fulfils the IP 65 standard It consists of a single PCB Printed Circuit Board system a power pack a circuit breaker and various attachable components In addition to this options e g M Bus can be secured to the integrated mounting rails or inserted into available slots on the PCB e g socket modules or memory expansions The currently used Version of the Ennovatis Smartbox is Ref 2 x The main Hardware attributes are a Rabbit 3000 28MHz processor with 512 kByte Flash Ram and 2MByte Flash for data an additional microSD Card and different interfaces like RS232 RS485 TCP IP 10 1LOOMBit 8 x PT1000 8 6 x analog and an Expansion slot for different additional modules The Software is a combination of the Smartbox manager windows based configuration tool and the Firmware inside the Smartbox The Firmware supports for example Standard Internet Protocols like TCP IP DHCP SNTP Client amp Server E Mail EMS NetBIOS UDP and different protocols for data communication For the configuration there is a quite flexible modul libraray with calculators multi function timers Hx Modu
52. s and protocols In the German Demonstrator the communication is planned based on TCP IP Ennovatis supports an open communication library in COM technology access via every COM Component Object Model or scripting capable PC programme possible and also the possibility to communicate via RSS Really Simple Syndication feeds if appropriate The decision on the communication protocol s 1s open and has to be developed together with the project partners WAN TCP IP Production Windpowerplant RssFeed Ose 5 VWindpowerplant Weatherforecast RSS Feed Q Met Production Windpowerplant RssFeed Productionforecast RssFeed Smartbox RS232 BEMS Powersupply 240V 400V Figure 6 Sample interface between Smartbox and superior EMS 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 15 of 34 For the communication based on a trading model in SmartCoDe project the concept of the so called Least Cost Function LCF was developed which can be also used as part of the basic communication approach in EEPOS The basic idea is that the cost profile inherently represents a power budget over time and by incorporating a load plan into the next cost profile update a certain part of this budget is reserved for the appliance which made the plan 1 The BEMS broadcasts a initial cost profile to all appliances in the group 2 At some point an appliance issues a load plan to the BEMS e g when a freezer
53. sh Demonstration T5 1 The JACE system is able to collect process store and transfer data as needed thus performing data management function Data measurement and processing is done in real time using built in or specifically designed process control modules Selected measurement points are stored in an internal history database The collection interval is normally 15 60 minutes but is configurable 1ms infinity The Finnish Demonstration is a unique low energy residential neighbourhood The main purpose and function of the JACE is to control the designed and implemented heating ventilation and air conditioning processes perform measurements and additionally enabling the implementation of the agreed EEPOS platform functions 4 2 4 German Demonstration T5 2 For the German demonstration the housing cooperative Bauverein Langenfeld eG BVL provided four of its residential buildings These buildings are already equipped with a basic energy management system which was installed by Ennovatis in 2008 Therefore exact baseline data can be obtained from the existing measurements and energy bills for heating and water consumption as well as for the building gas consumptions A radio based sub metering system for billing installed and operated by the LAS GmbH was previously connected to the energy management system of Ennovatis Smartboxes The main heat meters of the buildings were also connected to the system and the obtained data of the last y
54. t will support the decentralised management systems in households with additional information In such a way household management systems are involved also in neighbourhood management Management on household level in turn allows maximizing the utilisation of flexible demand resources in the neighbourhood since it has direct access to controllable household appliances Such semi centralised management combines benefits of centralised and decentralised systems This combination may increase the feasibility of smart grids 2 4 Relations to other activities The specification of the NEMS platform architecture is mainly based on the Work Package 1 Task 1 3 Overall architecture specification Other tasks of Work Package 1 are closely related and are in a line with the architecture specification e Application scenarios Task 1 1 e Stakeholders requirements Task 1 2 e Business models Task 1 4 This NEMS platform architecture specification report will be used further for the implementation of the NEMS platform and the other tasks of WP 2 e Platform specification and implementation Task 2 1 e Neighbourhood energy grids information models Task 2 2 e Supervisory and predictive controls Task 2 3 The NEMS developed in WP2 will be tested in the laboratory prototype T4 2 and be employed and validated in the field tests WP5 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 6 of 3
55. tchOut gt lt op gt lt refname alarms href obix config Services AlarmService is obix def alarm Alarm Service obix AlarmSubject display Alarm Service displayName AlarmService icon ord module icons x16 alarm png gt lt ref gt lt 0bJ gt Figure 4 Example of an oBIX data object The information obtained through the oBIX interface can be used by any system acting as an oBIX chent 3 3 3 German Demonstration T5 2 The currently used version 2 x of the Ennovatis Smartbox system covers the following interfaces for data communication and device control e 8x temperature inputs Pt1000 direct range 50 to 180 C resolution 0 05 C e 8 x analogue inputs 0 5 V 0 10 V or 0 20 mA resolution range 12 Bit http www knx org http www modbus org http www lonmark org http www m bus com gt http www bacnet org http www automatedbuildings com wsim Baja_White_Paper pdf http www obix org 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 13 of 34 e 8 x digital inputs which can be used for impulse or status inputs potential free open collector Namur or current 0 24 V e 2x Onboard Relays PhotoMOS 1A 60V if used to analogue inputs are missing More relays outputs or digital analogue inputs can be connected via Field bus modules e 3 x serial interface RS232 for external M Bus Level converter or ModBus e 1x RS485 field bus i
56. umption but also due to shifting of controllable loads Besides the NEMS operator stimulates the load shifting by variable electricity price and sells these services to the DSO as well as to the electricity market In the latter for example the generation deficit could be partly prevented by shifting neighbourhood loads from the time of energy deposit to the time of energy surplus In such a way costly electricity generation reserves i e ramping up costs of conventional generators will be replaced by load shifting This may reduce electricity generation costs and so the electricity bill According to Lamadrid and Mount 1 the most effective way to reduce the end user electricity bill is to actively manage the load in the electricity system e g in buildings All the aforementioned NEMS functions will be addressed in laboratory experiments Services related to electricity market should be realised through different electricity price 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 25 of 34 tariffs This price profile is supposed be created on ICT platform level Furthermore services related to the DSO interests may be also addressed through electricity price profiles or additional profile about desirable load shifting The NEMS operator will receive data on load shifting needs for grid support services This input can for example be added into the final price profiles sent to the BEMS 4 2 3 Finni
57. vices can be connected to OGEMA by the provision of appropriate drivers which ensure data communication between the device and OGEMA However a driver developer only needs to develop a new driver against suiting OGEMA data models or the provided REST Representation State Transfer interface whereas knowledge of the installed or planned energy management applications 1s not needed The current version of OGEMA mainly provides data models for energy management on the household level In the EEPOS project OGEMA will be used for the first time as a platform providing applications for energy monitoring management and automation on the neighbourhood level The required OGEMA applications for the EEPOS NEMS which implement the functionalities described in section 4 2 will be developed in T2 3 of the EEPOS project For this new data models for the neighbourhood level communication are needed These data models will be developed in T2 2 of the EEPOS project Furthermore new communication drivers to implement the interfaces described in section 3 3 are required These drivers will be developed at a later stage of T2 1 3 3 Interfaces of the EEPOS NEMS The discussion in this subsection focuses on data communication interfaces of the EEPOS NEMS Following bidirectional data communication interfaces need to be defined and implemented during T2 1 cf Figure 1 2013 05 17 EEPOS e EEPOS automation and energy management platform Specification Page 1
58. y send information about energy consumption in households to e g energy service providers Moreover bidirectional data communication allows smart meters to send information about the current electricity price to the end user in a way giving the end user the opportunity to maintain his energy consumption load shifting in a cost effective way An extensive summary about on going research and technological development RTD projects is included in the state of the art report of the EU FP7 IREEN road mapping project http www ireenproject eu wp content uploads 2012 09 IREEN_D2 2 1 Report on state of the art pdf Intensive standardisation is going on covering areas of smart grids smart metering energy management etc on European and international level Relevant standards existing and under development are e g CIM IEC 61850 OpenADR and ASHRAE SPC 201P Description of use cases for the EEPOS project will be tentatively based on the Use Case Template provided by CEN CENELEC ETSI The EEPOS energy management platform will provide a contribution to the on going automation of distribution grids It will perform energy management within a neighbourhood in a semi centralised way where the energy management will be performed on two levels neighbourhood and household Centralised neighbourhood management is performed in order to enable efficient utilisation of local DER and support the local electricity grid Thus the central managemen

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