この報告書をダウンロードする
Contents
1.2. 7 CD D LNG
3. Methodology O amp M
4. E VW A ux EAAEGE NPS AME Exaquantum
5. 5 NPS
6. all JICA ZH y SS mo Ki N 3x x Mm Y pu
7. HB c 725 T ii T dg E
8. 10 KF
9. 6 3 F 2 3 3 3
10. e 20
11. 7 7 by
12. 11 23 3 DS Phalai NPS 2 75 x pud Km all
13. ME Yh AS 1 Ib V PIERRAT Y LR oe be E23 3 Pha Lai
14. 19 8
15. 2 sient ceil 2 UMS 41 TY WEIR BAPE RAR 6 cd H S S
16. 1 2 10 20 1 3 RNN SN
17. JEAG 800 1 000 zs IS018436 2 OS Ob ox gm om FE mm HE HE ul s
18. NPS NPS NPS NPS lai NPS Positive EVN
19. RY RY 64 BST ME
20. lt EVN
21. 10
22. 8 Pha Lai replace 3 83 ANUS 3 BAR SB
23. 2006 2006 2005 6 EDA 05
24. NPS NPS lu N
25. 2007 7 Northern Region Power Service Company NPS Pha Lai NPS 100 NPS NPS
26. Pha Lai JICA PPP NPS NPS JV NPS CU SES ODA
27. 52
28. Pha Lai I replace xn jui Ti gt Tun fuu x pit al I N A replace 6 4
29. 43 6 61 2010 Son Dong 220MW Mao Khe 220MW Cam Pha I amp II 600MW Uong Bi 300MW Nin Binh 600MW Vung Ang I 1 200MW 2010 Quang Ninh II 600MW Nghi Son I amp II 1 800MW Mong Duong I amp II 2 200MW Vung Ang II 1 200MW
30. GT F BIRDS 37 5 C C 29 6 rq C C 1 AFI DRO nis T 2005 R 2 1 7 PLN kWh 2002 2003 2004 2005 2006 3 8 833 8 472 8 943 9 831 8 759 8 4 8 188 9 108 9 636 8 180 8 575 8 2 1 532 1 334 1 203 29 312 3
31. NPS Phalai NPS NPS NPS EVN a EVN X Phalai Phalai EWN EVN EVN NPS EVN
32. Pha Lai NPS 2010 700 NP8S ENV Pha Lai NPS NPS NPS
33. a Value Time Graph Value Time Graph E Regression curve Summary MS Excel
34. b 1 c Value Time
35. Exaquantum EVN Pha NPS ODMS OMSS ODMS OMSS ODMS DCS LAN DCS Unit DCS ODMS NPS NPS NPS OMSS
36. 2 EWN FOL NPS
37. 94 2 2 2 2011 2 23 2 H5 H5 2011 1 25 1 27 JCI Yokogawa Electric International Mr Toh Hoon Chew Yokogawa Vietnam 2 Attend Institute of Energy Counter part Phalai NPS Maintenance Service EVN JICA on SU E ER E ES d Ce an m Lr RICAS IE JCI
38. 2 A ali BA LZRJ3SO COR HESGOTDHEBEE HROT EH MED hes iff ovo CAT H FIKO EZ 7wbMI E fag mU pA
39. cae 3 E Pha Lail 3 Lai iC 5B Pha Lai NPS AD
40. Se ere DE N JICA JETRO GHG
41. 2 3E 1 3 amp 8 ul XH Eu o Eu Operation Data Management System ODMS Operation amp Management Support System OMSS NPS Web NPS I 110MWx4 II 300MWx2 NPS Pha Lai PC NPS
42. CAS Web REDS NPS NPS 1 gt 6 2 1
43. APEC SAT LIL FAI x pui TI 6 1 6 7 o GE 4 x fS bu Xu Xu EE
44. Pha Lai Pha Lai I 25 Pha Lai II JCI DCS NPS NPS NPS EVN 2
45. p ua ul 3 SHR TT RR OVE REA ELD PEK Pha Lai E 1
46. e e D R
47. 2002 18 PLN 2004 2009 E i
48. 1 2 1 ODMS Operation Data Management System OMSS Operation amp Management Support System 9 2
49. RNV 50 3 3
50. T N 442 Pha Lai 1 3 3 Q 4 2 D 3 Pha La I 3 7 Pha LaiT Pha Lai I 5 6 36 DOTS Pha Laill 2010 1
51. E Te f fies Lg LA E j Ta ra a Tos BG ue 0D PE SET ED LL b E LA E j PADE LERRO ERAT ORE 3 DS X
52. Ho RH BP CHE E E E R C E 3 wt m H
53. FEW ETE 1 69 DT J LTI BE ff 5 ims A pud
54. 76 5 Rh 1993 IPP 2001 NPC NPC IPP 2000 EIZ EPIRA NPOC I1PP NPC IPP IPP K 2 1 16 MW 2002 2008 2004 2005
55. A 60 SHE ADA RAS sf ES 2006 3 314 2008 10 7 1 3 JBIC ODA XE AS 2007 4 742
56. 2 A
57. 2006 1 089 kWh TNB SRSCO SESB 1 K 2 1 18 2006 TNB EGAT Ras ses IPP a TNB a dk sue 9 7 15 SESB SESCO 20 1 16 796 VC mv ME K 2 1 18 FERRE 2002 386 06 313 91 0 10 99 33 600 54 2003 286 80 432 00 1 93 72 03 644 84 TNB 2004 268 42 547 55 6 05 114 22 695 70 2005 234 82 604 09 16 93 74 02 747 96 2006 267 46 61
58. DCS Distributed Control System 4 kic RI oo
59. 88 30 15 1974 1983 Phalai I Stakeholder Phalai II 7000 70 kWh 1 Shut down Account MOIT Ministry of Industry and Trade Restructuring Transmission Company 2 Distribution Company EVN Distr
60. 2 1 12 MW 2002 2003 2004 2005 2006 5 EGAT 15 000 14 430 15 421 15 794 15 794 58 996 DEDE PEA 3 84 84 85 85 85 0 396 IPP 7 143 8 206 8 206 8 164 8 610 32 196 SPP 4 1 930 2 085 2 194 2 224 2 327 8 7 24 157 24 805 25 906 26 267 26 816 100 2008 1 EGAT 2 DEDE 9 PEA 4 SPP SPP 5 2006 VSPP 11 E ref 3 iX EGAT PDP 2 1 B
61. gt A A m HK Bam ECRI 5 50
62. Pha LaiI 2 Pha Lai EVN ICH UTE E Feasibility Study FS Availability Pha Lai II DCS Distributed Control System 49 Jd EVES Pha Lail II AIEL DEH ELTH
63. 20 3 3 1 yap RAT VT EO 9 BASE AAEE 1 2 3 4 4 4 3 1 2 3 3 2 1 4
64. BEES 31 5 1 1 2000 4 p 95 X B zn AA zi
65. JCI gt 2 NPS Pha Lai NPS EVN
66. 3 ODA 2009 12 8 ODA A PDCA B 5 BUS C JICA NGO Jm zu CM E m 7
67. OM EK SERE 67 JICA YE UAE
68. 40 5 5 1 5 1 1 1 e PM Preventive Maintenance BM Breakdown Maintenance TBM Time Based Maintenance CBM Condition Based Maintenance
69. DC8S DCS DCS 2 SE il G
70. 2 1 15 kWh 2002 2003 2004 2005 2006 2 ABT 4 561 5 509 6 253 5 717 4 152 7 3 AHH GT 1 732 1 661 2 252 425 513 0 996 KA 7 033 7 870 8 593 8 387 9 939 17 5 10 242 9 822 10 282 9 902 10 465 18 4 16 128 14 939 16 194 15 257 15 294 27 0 8 771 13 139 12 384 16 861 16 366 28 896 eal 77 ft 0 0 0 19 55 0 196 48 467 52 941 55 957 56 568 56 784 100 3 0 9 2 5 7 1 1 0 4 2008 eS 1 2 2006 13 2 1 16 RET 12 NPC
71. NRN AINE Phalai II 2003 Phalai II 2010 End Phalai II 2015 2015 CMM SUM OK PE uU
72. ce Phalai I II Hite CH Zt 7 1 5 23 vv ES Phalai II DCS Phalai II DCS 74 gt Tun fuu x m al T N A
73. 3 Pha Lai II 2002 7 OF rfi 7 Ea Ni 233838 Pha Lail II 45 lt 6 4 JE 4 2 1 2010 11 Pha Lai Pha Lai 1 Pha Lai I
74. FACE GREEN E Br AY f 1
75. 2005 10 mi 2005 CDM 7 2 1 11 kWh 2002 2003 4 2004 200542 2006 8 7 471 7 299 6 040 5 798 8 125 6 5 2 784 3 121 7 689 8 658 8 493 6 8 16 652 16 807 17 993 18 334 22 051 17 6 69 538 76 332 80 489 85 703 86 339 69 1 ER iH 1 2 2 2 2 3 0 0 96 447 103 561 112 213 118 495 125 011 100 2 6 6 7 4 8 4 5 6 5 5 E 2008 WA 1 2 3 2006 E K 2 1 12
76. UF EVN 05 1 3 2 340 1 490 06 Pha Lai 2 15 2006
77. JOLTA 34 yf IC BATS UPD Xv FF Y ADS E E Hj E COBBERLEIbEDDPDST MME38te EADS 4 o gt 38 Pha Lai
78. E Hx 63 2 Pha Lai EVN b 2 Pha Lail DCS Feasibility Study Pha Lai Pha Lai
79. Q mid Re BHT SIL CF Kee E B Pha Lai
80. Pha Lai lp Wwe ie NL ACUERDO p doa dd Pha Lai I I A 6 Pha Lil Indicator Pha Lai
81. JICA JETRO NEDO Bank VDB Ministry of Industry and Trade MOIT Zt Institute of Energy IE Vietnam Development Ece 2
82. O amp M 0 amp M 0 amp M ym ym 2 3 Pha Lai Pha Lai 81 j I N
83. ID LN Tea EJJDAVTTWAW j F PC Web gt 6 2 2 H
84. TPM Total Productive Maintenance BASH 3 5 LD TM BA VAR 68 0 Ml Bo Xp Ex X 0 am x IIT ym T ih 4 tues R
85. RICHES SiR LE 2 3 3 d gt A Ix TAYE A wm EPR ER 4 pas IS TT N I i N T N m x
86. ud RE LC ES HIR 4 4 JCI 4 ICI 2009
87. Uem Ea s o 80 Exaquantum 5 JB Exaquantum DCS
88. 43 6 44 6 1 eese 44 OAE IO O E S EL 48 7 59 TL 59 7 2 62 7 3 kk 63 own EC cu NEQOE 65 I E C PE AEE EA E EEE EE 66 ag 8B 53 m ee e a aet 67 PAE 9S CUM oo eeseeccesecccssccecscccecscccessccecsccccesscecssccesscseeessceesccecsencessecsessncesssseseneseeensetenes 85 ECT a o E ET E EEEE S EERE 99 d BE MR r E E i ii 137 1 1 1 E
89. 54 6 2 SOR e E H BH e E FB AHE CHS Pha Lai NPS Bro i 3 2i TN
90. E F Dik 2 12
91. 39 Yl D
92. 3 300MW 500MW 7 4 1 7 6 2005 2010 2015 2020 GWh 45 600 97 100 165 000 257 300 GWh 53 500 113 000 190 000 294 000 MW 9 255 19 117 31 495 47 607 MW 11 340 25 879 42 341 60 611 2008 4 1 3 2025 GW 18 SSS ia Ca iir A 6 F um 14 uum 12 Fence jo mmm Gea Ak 2006 2008 2010 2012 2014 2016 2018 2020 4 1 3 2022 2024 28 2010 4
93. EVN Pha Lai JICA ALIBRE LIEVA W alli 65 AME 1 PS 1 3 LH 2 1 2 3 3 1 Conceptual Framework of Power Plant Maintenance 3 2 Objective of Feasibility Study
94. 6 4 i
95. FS JICA FS xh pud T I N I N alll 3 1
96. 2 77 3 x Xn y iX2Horngz5 PAS EXNCBRIE E CHS SHSM 3 78 ANUS 2 B KR H B
97. IE bi 5 3 10 11 11 1 11 2 A img 4 ns 1 3 10 10 1 10 10 A 20 10 11 18 1 10 11 21H 12 2 1 11 1 17 2
98. 34 3 4 8 1 JETRO 2010 EE 4 8 8 JETRO CHT RASH 5 Bl 2014 1 Qr d 4 8 2 E 4 000MW 300MW 600MW E
99. 76 x uud Tl all gt Tub 20 x juu 8 SR all Ti ZH all I N all TI J A
100. Eu ELAR 47 54 2 6 4 2007 2 7 Ly B 58 000MW 1 HOS 238 700 2004 44 2001 2006 525 kWh CH NPC R 12 54 CZ 1990 4 H IPP NPC IPP BUr AR Za H R 2021
101. 3 E RAM EC aA OK PROM EIC LS RENE RV ORM OB A Edu NAM PIC LS RAE RE Bt oh EY E E C02
102. EVN 2005 EVN 787 kWh 5centkWh IPP 5 1 IPP TPP 2000
103. 0 ali at a ali 23 4 4 1 1 2007 8 787 2005 5 100 4 1 1
104. JETRO RPC 2010 D 6 1 1 ARKI 600MW Q N
105. Phalai II 6 4 1 EVN 4 NPS PS Phalai Phalai NPS Phalai NPS Yokogawa Vietnam Mr Thu Deputy General Director 6 7 1 Phalai EVN
106. 18 GTRP 3 cle 7 1 8 JBIC JBIC 4 3 ie 9 B is 5
107. Pha Lai BTS Fa NPS Pha Lai NPS GR UN EN tN NPS H 55
108. MOSMS zn 5h Fe Wm AR M BB C o ZDE E RRRRRRRRRRRRRRRRRRRRRRRRRRRMMMMMMMMMMMMMM 1 Sir TUUM BUTTON IEIUNII 1 T Sie AUD R ee E M EIN ee OE LR AI ND AM ETE 2 NB Lego ATENE E ROMAE RENTES 3 2 4 S 2 4 2 2 18 Sog aru ee Leoosatatue od detduntateteatedadete
109. A 4 EIZE AR B 3 Fe BI E ae Bi Wi E AN Y E 1 v GM 3 4A sy Ache FTNVO AH HH Pha Lai EVN RoT
110. 33 5 4 fitit I i 4 cp STR SBT TY MOOV CHA LL FERCBMAa AX 1 3 vy 2 2005 4 2007 6 640 kWh 2005 7 10
111. Director Mr Hung Wr Dung Phalai JCI 96 Phalai I DCS DCS FS DCS Phalai I DCS FS FS Mr Dung EVN DCS FS Phalai EVN 30 Phalai
112. K 2 1 9 RUKN2005 MW 2010 2015 2020 2025 9 510 11 620 17 640 15 800 3 620 5 160 9 240 6 600 C C 2 5 570 4 460 2 000 2 000 200 1 000 400 1 200 660 0 0 0 0 1 000 0 0 0 0 6 000 6 000 3 420 3 810 5 070 5 900 2 080 1 660 4 070 4 520 C C 130 550 780 950 330 80 60 50 330 80 60 50 160 190 100 330 360 1 270 10 0 40 0 0 0 2008 1 2005 2 C C 1 10 000MW 6 900MW 3 100MW 3 2007 1 0
113. 71 ANUS 1 8 H ARR BAY ATA B B JA MOSMS H XI GIN
114. ali il 97 Pha Lai EVN Pha Lai I DCS NPS CO2 Emission Trade BIT LY KV CHIR AR SAE I 98 3 FEB 3 1 Conceptual Framework of Power Plant Maintenance Conceptual Framework of Power Plant Maintenance January 2011 Japan Consulting Institute Conceptual Chart of Power Plant Maintenance Power Station n 0MSS Information N Ws EOS A ietworl 1 Phalai 1 4 Phalai Il 1 2 Phalai PS Urn BIPS Ninh Binh PS N 99 Concept of Maintenance Structure Maintenance Objectives Maintenance Scheme Category Maintenance Inspection Computer Systems Daily Basis Daily
115. fs kWh kWh MW 2002 465 39 3 8 386 24 17 0 7 721 71 7 2003 495 31 6 4 427 20 13 7 8 275 73 0 2004 513 04 3 6 440 76 14 1 8 525 74 9 2005 519 77 1 3 451 59 13 1 8 629 74 8 2006 525 57 1 1 456 72 13 1 8 760 74 0 2008 FEN HE 1 RDO AL BiIRBENMEN 28 8 27 0 2000 A 18 7 3 Ili 2005
116. Pha Lai NPS EVN NPS Exaquantum NPS Pha Lai NPS
117. 72 1 2 2 OH 2011 1 17 A 15 00 16 35 Hr 1 1 1 T E ra PS Phalai NPS 2 PA 2 1 2 o T TT N A d EB Lc
118. NPS E 20 Pha Lai A OREO RUFF VY AICP ATE Bj a TBR CO2 60 gt eG 47 Pha Lai II 10 Pha Lai I
119. e 3 ul dg 42 JI
120. 15 49 411 aOR 2005 10 2005 kt fH KR 8 126 10 2 15 8 96 d 465 31 0 0 9 96 11 991 7 6 23 4 4 914 5 2 9 6 Kk A 1 845 4 4 3 6 23 955 1 0 46 7 d 51 296 4 0 96 100 96 2008 HA 1 2006 513 kWWh 1496 4 1 2 Es pt
121. Phalai JCI FS Presentation JCI EVN Phalai IE Maintenance System Mr Khoi Khoi 11 30 NPS 14 00 15 30 NPS North Power Service Joint Stock Company NPS Mr Pham Van Thu Deputy General Manager of Production Mr Nguyen Van Tinh Manager of Mechanical and Heat Equipment Maintenance Workshop 93 Mr Phung Van Son Deputy Manager of Automated amp Controls Equipment Maintenance Workshop 3 4 Yokogawa Vietna
122. Pha Lai I II CHAD e NPS e NPS e e 3 Pha Lai 1 6 Pha Lai I e 6 2 6 2 1
123. 1992 REGAT MEA PEA PEA DEDE 1992 IPP SPP 90MW 2002 1MW VSPP 5 IPP SPP 20 EGAT 5 EGAT 2002 61 2 2006 58 9 IPP 29 5 32 1
124. 2 20084 6 By d x b MZ AN I 3n Lu IAL 2 47 2005 3 017 E 1 092 214 2009 8 92 o JBIC ODA EE JBIC f i
125. Exaquantum ODMS 62 ODMS Pha Lai 1 Pha Lai II DCS DCS GR DCS e NPS DCS Pha Lai
126. JICA JCI 4 JBIC JICA Phalai JICA Operation JICA Report E RNT Action Plan EE 0 Report tem 00 HERE 2 PRD ARZE Maintenan
127. 2 Sul k l Phalai I 3 II 6 7 o NPS Phalai 73 Ml MH N
128. 2006 9 28 2005 21 gt tak Ze PRIE EE PH 1 3 3 8 Bi RO A A Ne us LE DR BEIT E E 3 E
129. NPS Pha Lai PC Pha Lai 2 gt 6 9 8 X
130. Paen i OE 52 GDP ik zie o B x E3 24 1 000MW 33 2016 12 5 58 68GW 1 3 86 52 65GW IPP 2 1 4 amp ES
131. TPM EVN 58 7 7 1 BHXETEH Official Development Assistance ODA JICA Other Official Fund OOF GBIC 2 NREXD 2 7 1 1 JICA JICA ODA
132. Wi 3 epus Eius simt 500KV X 4 2 1 EVN 2008 X 16 4 th 0 Ege Se 9 EVN CIE 2005 2007 Pha Lai 2007 7 70
133. Agreement 2 Phalai Mr Thinh Phalai Phalai I DCS DCS FS FS Public Sector METI JBIC JICA Fund FS CO2 Revenue
134. DCS JICA 7 1 JICA JBIC 6 2 3 6 15 TPM Total Productive Maintenance CO2 82
135. JCI JCI S E IE JCI Collaboration Agreement IE Agreement IE Agreement JCI CDM ER EVN Phalai IE ies 3
136. Phalai IE WMr Hung JCI TIE Jel LTX EVN CO2 DCS Replace GR IE IE IE EW Director IE Mr Thong IE IE
137. 7 ay ml 2 7 Z3 KIRE CHIIR EERE 34 20H Pha Lai KIZ EPT Clic E O AKEHE OR MIE EDITARE RU BEE LEB ADAM FE 44 6A I2 H Pha Lai KY CHO PRE 6H 14H P gt KAB BEE CERIIESIE Fil FEO E T FFF E 7 3 AI CHM 14 IBI b KEL TOZ E ORG ANE ELIA FEET VIAL FC Ed E DFE 7H 10H P 3 KIENS AOJE 7 3 3 b ROA Ofk fE 2006 1 Pha Lai 1 Pha Lai Pha Lai
138. Z A f MOSMS 79 1 3 3 OH 2011 2 23 Kk 16 10 17 20 OX Hr TH dy 1 2 1 2 2 DBR CSO T i zi N 2 NPS
139. Mr Thinh DCS Phalai ml lt a NPS Phalai 95 PS 7X S Mr Thinh 2
140. ee A EANA eM HOME 2 1 2 2007 m ewe MW MW MW 32 462 29 495 2 967 9 1 38 277 29 385 8 892 23 2 26 777 24 368 2 409 9 0 11 940 10 699 1 241 10 4 1 742 1 347 395 22 7 108 866 90 793 18 073 16 6 2008 2 K 2 1 3 2005 2008 3 69 89 52 8 2 1 3 1 2 KWh MW
141. Ev 25 X 5 IPP IPP IPP IPP IPP vds E E da SES IPP ml pm 6
142. QC Quality Control TQC Total Quality Control Productive Maintenance TPM Total Productive Maintenance 6 2 3 PDC Plan Do Check 2
143. C JICA NGO JICA ae 59 2009 ODA 50 2 21 296 10 0 1972 143 2006 655 2007 754 2008 641 2 1 2009 2010 2
144. 2 1 1 wis JEA kWh kWh 2003 5 592 64 9 4 5 193 98 4 3 7 1 2004 5 913 73 5 7 5 481 15 5 5 7 8 2005 6 315 54 6 8 5 788 19 5 6 8 4 2006 6 905 87 9 3 6 244 96 7 9 9 6 2007 7 370 52 6 7 6 646 60 6 4 9 8 2008 2006 2007 4 LYRA E 9 A ECA E FH ae AC 16 6 723 Me kWh gt e
145. NPS NPS 238 57 mime bOTHOIDIEMCER EK MICRO R E Yr PVA vA X E TPM Total Productive Maintenance PDC Plan Do Check
146. uen 3 H HH 4 Tool Equipment TE 1 JCI Mission Phalai Management Phalai Data LI NPS 85 3 Phalai Phalai Hanoi 2 Yokogawa Vietnam 2 IE Mr Thong Top Mr Thinh Phalai I II Phalai T X 3 2 1
147. 2 2 EVN 4 1 5 EVN 50 309 183 29 8 2006 2010 JETRO 2010 12 B GERI FLAX 26 4 1 6 4 1 2
148. EZ RB AE H 4 2 1 4 2 3 H 4 JETRO 2010 10 59 6 32 4 2 1 1997 18 1 2003 12 2 1998 16 1 2004 12 1 1999 15 3 2005 11 8 2000 14 5 2006 11 1 2001 14 2 2007 10 6 2002 13 4 2010 ul fis 4 9 4 8 1 K 4
149. ISO9000 Pha Lai NPS 53 3 Q
150. 5 5 8 K 2 1 10 m mz kWh kWh 2002 1 055 50 25 39 6 3 1 001 73 8 5 2003 1 133 28 21 83 1 155 11 6 9 1 069 59 6 8 2004 1 220 09 30 16 1 250 25 8 2 1 150 44 7 6 2005 1 281 67 37 77 1 319 44 5 5 1 212 29 5 4 2006 1 345 82 44 09 1 389 91 5 3 1 278 11 5 4 2008 1 2 2 1 11 17 6 1 2006 7 MES 6 5 Al CH ERIE PH SANT RAD ADS 69 1
151. em es 1 7 KM 78 1 ay am FB Jti 1 2 1 14 2006 2004 8 6 2005 1 1 i 74 13 17 2 1 14
152. fr dde bas m4 5 Be E 29 E pop Pha Lai CS pn nuces
153. 1 000GWh GW GW 2007 813 168 2011 1 097 158 220 2016 1 524 226 306 2021 4E 2 118 323 425 2026 2 866 437 575 2031 3 880 592 778 J coal 2010 2 2005 2 8 4 2006 1 8 2006 1 288 kWh 77 8 PLN Q R 2 1 5
154. JCI Mr Thinh Phalai Mr Thinh 5 JICA a Um aul Bk 1 27 JICA 11 JCI
155. 2 Z BE 5 f 2 qul BA C6 Ev 40 1 2 o
156. 2008 2006 1 988MW 869MW 850MW 2010 600MW 688MW 101MW 1 888MW 4 2001 ME EPIRA NPC IPP YDS E 2007 2 600 2005 Efi fk 6 100
157. ARIA C n H un P EU ds Nm SIS Ar AN v 25 0 Xi Roce I T I M E k
158. 2 1 6 2 1 6 kWh Al C C 4 682 7 727 35 236 25 691 3 597 2 976 79 909 2 952 834 2 986 4 886 3 558 0 15 216 113 0 967 341 2 838 0 4 259 1 012 14 0 0 3 893 166 5 085 8 759 8 575 39 189 30 918 13 886 3 142 104 469 2008 1 2 5 2006 4 Yes 2 2 1 7 E PLN E H3 5 A 1
159. 4 10 11 11 1 1 Vietnam Electricity RVN Pha Lai NPS 2 or FREE EVN Pha Lai NPS 1 2
160. MW kWh 2002 6 470 14 2 302 64 17 7 2003 7 366 13 8 347 91 15 0 2004 8 283 12 4 396 96 14 1 2005 9 255 11 7 449 21 13 2 2006 10 187 10 1 513 50 14 3 2008 24 Q K 4 1 2 2006 5 10 2000 Ti E S GWh 80 000 4T m R E 70 000 60 000 50 000 5 40 000 4 24 30 000 Pott ttt tt tet rr me renee nnn enn nn 20 000
161. a H TIPP ot y e fA N G3 2006 6 400 2006 52 CHS 1 890 kWh 48 9 REGAT 1 2 1 10 2006 1
162. 2 CAD Version
163. 3 Pha Lai 2 4 4 3 a N ITE EVN Pha Lai NPS 7 1 2 3 4 5 6 7 1 CV Bl
164. 2000 6 5 2 5 3
165. 2 2 nen 2 3 3 KEIRIN http ringring keirin jp J
166. ERATA XE LES RICA Fi ER x 1 2 1
167. 2006 1 5 4 6 2 1 5 PLN f kWh kWh kWh 2002 856 191 1 047 3 1 2003 886 205 1 091 3 8 2004 922 241 1 163 6 6 1 001 10 7 2005 960 261 1 221 5 0 1 070 6 9 2006 1 002 286 1 288 5 5 1 126 5 2 2008 PLN 1992 IPP PLN K 2 1 5 2002 2006 5 PLN 17 50
168. 3 Wa puer 2 Pha Lai NUS 6 F i Pha Lai I II 4 2 3 Pha Lai Unit 300MW NPS Pha Uong Bi HI CZ AE E EPN i A e YA 3 E NPS 28 E Jd
169. MW 2002 2003 2004 20054F 2006 4 PLN 21 110 21 460 21 460 22 510 24 850 64 3 3 160 3 170 3 200 3 220 3 530 9 1 AZ 6 900 6 900 6 900 6 900 8 220 21 3 C C 6 860 6 560 6 560 6 280 1 020 18 2 3 3 820 3 908 4 400 5 710 5 680 14 7 380 400 400 400 400 1 0 IPP 3 460 3 650 3 650 5 440 6 110 15 8 JZ 11 510 11 100 11 730 7 290 7 110 19 9 36 080 35 760 36 840 35 240 38 670 100 DT 2008 HE 1 PLN 2 C C 8 4 2006 3 2005 RUKN2005 8 2 1 9 it E
170. 2 51 mg ik W Am AC OK ix Fc LC AER UL TOR
171. EVN TIPP 2002 4 E ELC Ss 1980 1990 EVN 2004 600MW 2010 10 FELL LOW 8 000MW IPP 4 113 29 42 1 EVN 4 2 1 EVN EVN 100
172. Pha Lai II 5 5 6 Qe o4 R
173. STIX 2014 60 1 55 2010 14 2 1 17 MW 2006 2010 2012 2014 10 576 10 496 9 846 9 846 a 8 302 9 721 10 607 11 596 761 1 750 1 536 1 541 1 491 1 491 x 1 424 1 787 2 014 2 283 523 792 1 665 1 730 1 730 1 730 A 1 565 1 960 2 228 2 556 4 230 498 826 13 777 13 767 13 067 13 067 g 11 291 13 468 14 849 16 435 230 1 782 3 368
174. 1 2 A iA 2 BC OE 37 lt E
175. EVN 2006 1980 110MW 1998 300MW 1040MW peur LAE CC do WAKAS KFA CE E Pha Lai EVN 30 1986 Pha Lai I 1 4 Pha Lai II 2003 5 6 2 Pha Lai HD 10 Pha Lai I X 1986 7 MO 40 3 2 Pha Lai
176. NPS Maintenance Serv fi aA IE JCI 1 EVN Phalai ice H Agreement EVN HRI Technical amp Operational Dept Director Mr Hung EVN Phalai Phalai 4 1 2 Experience staff
177. Eg OH X Fa 16 2 1 19 A kWh IPP 1 2002 191 1 330 2 144 7 139 6 541 7 1 347 3 5 8 2003 191 1 343 0 142 1 140 2 899 3 1 715 7 27 8 TNB 2004 191 1 315 6 367 0 57 4 773 6 1 704 7 0 6 2005 188 1 387 1 0 26 6 1 127 7 1 729 8 1 4 2006 191 1 436 7 0 6 8 1 197 7 1 832 83 6 0 SESB 2006 5 1 10 6 0 19 6 40 4 75 7 16 0 SESCO 2006 10 1 27 1 0 17 5 42 0 96 7 1 0 Bi 2006 206 3 474 4 0 43 9 1 280 1 2 004 7 6 1 2 10 3 23 7 0 2 2 63 8 100 2008 es 15 2 2006 HO 659623 IPP S 4096 P Zg 5 CV T IPP 2 1 20 MW IPP
178. TNB 1 634 6 1 197 7 1 832 3 1 299 0 41 1 SESB 35 3 40 4 75 7 59 4 27 4 SESCO 54 7 42 0 96 7 77 3 25 1 724 6 1 280 1 2 004 7 1 435 7 2 39 6 2008 1 TNB 2 3 3 2 1 1 2008 4 5 Fa 622MW 2015 ZN ri E 2015 700MW 2015 TWh 400 350 300 r 250 200 150 100 50 f 3 C6 E 97TWh 2035 3
179. 2010 JICA Vietnam Electricity 3 4 V uei TT Ho 3 2 E 22 IE Institute of Energy id IE EVN
180. 2007 5 FFD 3 880 1 000GWh amp T78GW 1 2007 168GW 4 6 10 EDT 25MW 396881 3B 8 K 2 1 3 50 24 9 A HC
181. S cm 87 D EVN EWN 11 22 EVN 14 00 15 30 EVN Mr Do Mong Hung Director EVN Mr Vo Viet Dung Power Generation Department EVN Yokogawa Japan Mr Tomiyama Yokogawa Vietnam Mr Nguyen Xuan Khoi JCI Mr Abe Mr Takeda Mr Aoki Mr Hung 2010 14 34 36 4 6 Dry season Cut off
182. 10 000 o o G8 x uo P0 QNO B n sr ino DO A 5 6 6 G 6 6GGGo LE n NA NANA NN NAN Q M4 1 1 JETRO 2010 uil 4 1 3 2008 IPP ff 4 1 3 kWh FAIR 4i IPP et 2 1997 11 677 3 325 1 008 2 918 214 19 151 1998 22 092 3 480 1 329 4 597 359 808 21 665 13 1 1999 13 605 2 915 1 019 4 274 239 1 711 23 763 9 7 2000 14 551 3 135 1 137 5 866 240 1 633 26 562 11 8 2001 18 210 3 218 1 117 5 840 96 2 127 30 608 15 2 2002 18 198 4 881 1 019 9 502 92 2 109 35 801 17 0 2003 18 971 7 223 891 12 131 45 1 564 40 825 14 096
183. 2000 2007 3 10 3 39 1 2000 2007 12 31 66 275 8 42 18 143 16 43 2008 2010
184. EVN YES Assist 89 Phalai Management Phalai Data Centralized Maintenance Service Company IE Arrange
185. EN REEL OO EUR HER alli 2010 2010 EPC 2010 12 2010 2010 12 137 FF E B J na AAA FIX pus i ric 22 HE 4 FH 2 3 3 105 0011 5 8 d 03 3434 5384 101 0051 5 mic 03 3222 8100
186. IE International Relations Dr Tuan A Nguyen Director International Relations Mr Nguyen Van Thong International Cooperation Department Mr Doan Ngoc Duong Director Mr Nguyen Duc Cuong Director Center for Renewable Energy amp CDM Yokogawa Japan Mr Tomiyama JCI Mr Abe Mr Takeda Mr Aoki JE Dr Tuan JCI Counter part EVN Phalai Maintenance IE IE IE Agreement E CDM CDM C02 FS Phalai I DCS 02 FS JCI EVN Phalai TE
187. Lane i puc 4 1990 dm A te none daa H BUR 230
188. zn EX ji 23380 07 C EE 61 M 7 2 oer ORS ee ee Hield proven
189. 7 M E E E dg RE TOA Do m n EVN Pha Lai Mae LEDS dqverAB 1 HE E FEL E FB EE NPS 3 1 H
190. 2 4 1 5 EVN kWh 2002 2003 2004 2005 2006 1 2 4 187 4 155 4 155 4 155 4 583 48 7 5 2 1 245 1 245 1 245 1 245 1 245 13 2 7 6 198 198 198 198 198 2 1 0 2 322 2 489 2 939 2 939 3 107 33 0 17 2 296 288 285 285 285 3 0 3 6 8 248 8 375 8 822 8 822 9 418 100 7 5 2008 1 F 2 2006 10 4 1 6 6 2006 2007 2008 2009 2010 MW 861 2 096 3 271 3 393 4 960 MW 756 1 297 2 951 1 879 2 272 87 8 61 9 68 8 55 4 4
191. Pha Lai IT Pha Lai 5 300MW 6 6 1 1 Pha Lai Unit 1 Unit 2 sic 2003 O 3 586 0 25 0 897 0 36 2004 84 1 782 1 18 1 632 366 1 15 2005 703 253 3 23 404 86 2 15 2006 0 594 0 13 427 415 1 6 2007 1 086 674 1 13 163 383 1 13 0 4 f D LUE Unit 1 2003 MTTR 23 143hours 6 BH Unit 1
192. PI H B lZ ri PI E Hj NPS 20 Pha Lai I HE Pha Lai II PI Ros Ge EPE E mil quj D
193. 101 494 16 3 8 592 26 087 1 230 35 909 24 9 435 494 69 8 29 010 42 048 4 991 16 049 52 896 60 802 9 7 6 639 3 834 4 183 14 656 10 2 AY 2 063 0 3 0 605 597 1 202 0 8 17 324 2 7 4 120 0 0 4 120 2 8 BpmcR 6 643 1 1 0 2 200 9 995 12 195 8 596 623 819 100 48 361 74 773 20 997 144 131 100 33 5 51 9 14 6 100 lat NUNT C MATUACONDTIER 2005 2008 3 ps 25MW 8 R 3 E Th Jj 2006 8 Hos m 16 396 3496 FLAS E 159 3 D 80
194. NPS 7 3
195. 2003 4E MTBF 314hours 213 1 90 E 13 6 Unit 2 2003 3 7 1 2002 2003 2007 1 zH Controllable 46 SDTV YC S Phalai II 9 4i
196. Maintenance EVN Phalai 2 7 000 Phalai 2 Questionnaire Phalai I II Phalai II Phalai I X IH VERD T 91 Phalai 1 11 25 JICA 11 00 12 00 JICA JCI JICA JICA
197. al I N A alll Phalai I DCS DCS F S
198. zt B BH BH B MOSMS 84 2 2 1 1 1 I 2011 1 17 2010 11 22 11 30 JCI Yokogawa Vietnam 2 4423 Attend Institute of Energy Counter part EVN Phalai
199. Contact person Mr Hoang Tien Dung JCI Dr Tuan F TE Phalai I DCS Replace FS EVN Phalai Management IE CDM Phalai Mr Tuan 11 23 Phalai I II 14 15 16 45 EVN Mr Nguyen van Thinh Head of Technical Department Phalai P S Mr Vo Viet Dung Power Generation Department EVN Yokogawa Japan Mr Tomiyama Mr Kuniyoshi Mr Ohta Yokogawa Vietnam Mr Nguyen Xuan Khoi JCI Mr Abe Mr Takeda Mr Aoki 90 Mr Thinh Phalai
200. Pha Lai A RE H 20 si n7 0 Pha Lai I kre 104 E Pha Laill E 3
201. 1 ath 6
202. 4 1 3 4 3 4 Ke aS FEL 6 BIS EO CARA Bi BORA is Al 2 MW 2011 3 900 2012 5 1 000 2013 3 1 110 2014 7 4 550 2015 5 4 000 50 11 560 JETRO 2010 4 4 4 4 1 35 6 4 4
203. Windows XP Professional SP3 Microsoft Excel or Office 2000 XP 2003 2007 Microsoft Internet Explorer 7 0 Microsoft Internet Explorer 6 0 SP1 SP2 Microsoft SharePoint Designer 2007 Microsoft FrontPage 2000 2002 2003 Adobe Reader 7 8 0 9 1 needs to be installed 1 4 Exaquantum Explorer Client Server GUI Exaquantum Explorer provides a powerful feature rich Windows based Graphical User Interface GUI in which users can develop and run their own visualization displays containing process and operational data held in Exaquantum Exaquantum Explorer can be configured to analyze complex correlations between these variables Exaquantum Explorer will also inform operators and engineers of potential problems allowing them to alter plant operations before product quality is substantially affected The representation of data is in the form of multiple documents A Document can display process values process average values historized values display trends link to other Documents contain ActiveX components e g Microsoft Excel and Web pages Exaquantum Explorer is a very powerful and easy to use user GUI that fulfills complex information integration requirements Exaquantum Explorer also contains powerful ad hoc reporting tools Reports can be created in a variety of formats by users in a WYSIWYG way using Excel Crystal Reports or own Visual Basic VB applications These reports may be spawned on demand or t
204. 11 1 24 29 H 2 11 2 H 23 H 3 11 3 81 2 2 1 L E 2 3 4 5 D 2007 11 6 FE 7 370 kWh Ey Ve O K 2 1 1 2007
205. 2004 17 635 1 015 602 14 881 42 6 026 46 201 13 296 2005 16 130 8 125 678 16 207 43 10 867 52 050 12 7 2006 19 096 8 808 600 17 906 54 12 550 59 013 13 4 32 4 14 9 1 0 30 3 0 1 21 3 100 2008 1 2006 2 25 X 4 1 4 E EEN CH A 60
206. 2006 4 i 11 429 0 11 811 0 12 161 6 12 127 6 12 091 6 76 5 EY YA 1 622 2 1 647 1 1 721 0 1 7032 1 803 2 11 4 1 651 4 1 665 0 1 665 4 1 698 4 1 908 3 12 196 NPC 4 172 6 26 496 NPCIPP 8 169 4 51 796 ix IPP 3 461 2 21 9 14 702 15 124 15 548 15 619 15 803 1 100 3 9 9 2 9 2 8 0 5 1 2 ii EME 7 ad Sie M 1 NPC 2 NPC IPP NPC IPP 8 4 2006 4 3 E E 2008 2006 2 1 17 2014 Es 800MW 3 2014 2006 40 1 750MW
207. Emission coefficient x CO2 conversion coefficient Calorific value 29 3 GJ ton Emission coefficient 0 0247 tC GJ CO2 conversion coefficient 3 6667 010 P 20 YOKOGAWA 114 After retrofit Improved reliability and operation safety at TES4 have decreased the number of plant outages and reduced the amount of oil consumed for boiler start ups The Mongolian government could reduce to purchase as much electricity and oil from others countries vigilantplant The clear path to operational excellence 115 88 down from 1997 to 2007 He k 1997 1998 1899 2000 2001 2002 2003 2004 2005 2006 2007 YOKOGAWA 3 9 Exaquantum Proposal Insert Issue 1 An Introduction to Exaquantum 1 1 Introduction Exaquantum plays a major role at over 1 400 sites globally in a wide range of requirements such as a data historian Plant Information Management System PIMS or a key member of an Integrated Information System ISS or Manufacturing Execution System MES Exaquantum provides business benefits to users in a large number of industries including refineries oil amp gas petrochemicals chemicals pharmaceuticals pulp amp paper power generation semiconductors and mining A key Exaquantum feature is the ability to acquire data from all business areas and the subsequent transformation of that data into easily usable high value widely distributed information The data then becomes an integral part of the set of tools used
208. ODMS Maintenance Inspection Data base OMSS Data base pot Spot Maintenance Periodic Periodic Maintenance E Inspection N xx Inspection Urgent maintenance Ordinary ODMS Breakdown Maintenance 1 Preventive Maintenance K Breakdown Maintenance ODMS Operation Data Management System 3 Modification Replacement OMSS Operation amp Management Support System Centralized Power Plant Maintenance System ODMS Operation Data Management System OMSS Operation amp Management Support System Phalai P S m b 1 Other Power Station P S Power Station DCS Distributed Control System PLC Programmable Logic Control 4 100 Power Plant Maintenance related Function Constitution Task Support Application Computer System Configuration NPS Business Operation Management Maintenance amp Power Station Maintenance Management Support amp Management Host Computer i Plant Equipment Off line Data Plant Maintenance Management Suppo Operation pj eration RG pan Een On line Data ODMS ent cee pem Management Support BGascrven oi On line Monitoring Instrumentation amp Control Support Service Automatic Control OMSS Operation amp Management Support System ODMS Operation Data Management System P S Power Station ODMS System Configuration PS Data Transmission F
209. 3 1 1 4 3 1 MW Ninh Binh 100 PhaLai 1 440 PhaLai 2 600 Na Duong 100 Uong Bi 410 Cam Pha 1 300 Cao Ngan 100 Hai Phong 300 Quang Ninh 600 2 950 Iu 2008 4 Independent Power Producer IPP 4 8 2 1 X 4 3 2 2000 2006 E eae EUN E E 4 3 2 2006 4996 ARKI 1396 Ai 2 CC 3390 74 E7v 8 33 4 3 2 KADER ES kWh 2000 3 135 2001 3 218 2002 4 881 2003
210. 7 223 2004 7 015 2005 8 125 2006 8 808 2008 2 BEGIR A ed 2008 2006 1 5 Se roe ee eee UBER amp 3 500 5 500kcal kg 1 4 8 1 2018 Million tones 2013 2015 150 T HA
211. A Boy Pha Lai Pha Lai Pha Lai Pha Lai IT 6
212. Flood Chattering Consequential Alarm by Priority Running State etc Integrated with the CENTUM CS 3000 and CENTUM VP For non Yokogawa DCSs configuration would need to be performed based on the information available which may also restrict the number of reports available Exaquantum Batch Capture analyze and report batches using OPC Batch plus the ability to capture master and unit recipes Exaquantum DMX Data Migration eXchange For bulk data import of process data into Exaquantum Often used when Exaquantum is replacing a data historian Exaquantum GF GUI Framework Framework for Exaquantum Explorer graphics providing users with an intuitive interface and enhanced runtime features such as history replay user defined trends and navigation controls Exaquantum HDM Historical Data Manager Allows Exaquantum to continually collect process data from an OPC HDA Server s into the Exaquantum Real Time database Exaquantum LDX LIMS Data eXchange Provides a seamless data exchange interface between Laboratory Information Management Systems LIMS and Exaquantum 117 8 Exaquantum MDX Manufacturing Data eXchange Exaquantum s ISA 95 interface to products such as SAP NetWeaver and B2MML 9 Exaquantum OTM Operator Trending Module Provides Exaquantum Explorer screens with additional trending capabilities such as trending across defined time periods intelligent switching between raw and aggregated
213. by the business in vital decision making processes Supporting rapid plant related deployment Exaquantum makes the software easy to implement within plant specific operational environments allowing information to be structured sensibly around the production calendars and shift patterns used in the plant Exaquantum is the business intelligent gateway between the operational Process Control System s PCS and the business Enterprise Resource Planning ERP system It uses the latest proven Microsoft based open technology for low implementation and administration costs while still being able to fulfill future IT trends Exaquantum has a Real Time Data Base RTDB containing data input from PCSs By utilizing Exaquantum client interfaces users are able to derive real time management information and perform process management monitoring reporting and analysis of the Plant data Exaquantum allows management process and production control and quality personnel to have a clear view of their control system s within an integrated Process Information system Additionally Exaquantum data can be exchanged with other applications such as LIMS CMMS ERP etc using open standards such as ODBC OLE DB XML OPC and ISA 95 that are augmented by powerful Exaquantum APIs Typical Exaquantum characteristics include e Data acquisition and historization from data sources such as DCSs PLCs LIMS etc of process values and Alarms amp Events Prese
214. from ODMS ODMS OMSS Advantage of Real time situation of plant can be remotely Knowledge base for off line maintenance on each introduction for NPS monitored Well experienced maintenance staff can be stationed in NPS 104 equipment basis covering all Power Plants in Northern Region is consolidated in NPS 3 2 Objective of Feasibility Study for EVN Power Stations Yokogawa Electric Corporation Objective of Feasibility Study for EVN Power Stations Yokogawa Electric Corporation YOKOGAWA vigilantplant General Introduction P 2 YOKOGAWA 105 Why refurbishment vigilantplant I want to 1 Stabilize plant operation 2 Diminish the number of forced outages 3 Reduce plant trips and increase safety amp availability 4 Increase automated operation 5 Unify plant operation between Boiler and Turbine 6 7 8 9 Plant manager C amp I engineer Shutdown amp Startup the plant safely amp certainly Maintain field instruments efficiently asset management Train new operators effectively Expand system economically when we expand plant 10 Protect environment Reduce SOx NOx CO2 11 Cut running cost amp maximize profit FS Obj ectives vigilantplant reliability performance and functionality and to confirm how contribute to emission reduction amp plant efficiency through rehabilitation of C amp I system of EVN power stations To
215. 0 Development Consulting TEPSCO J Power 1 100KV JCI CDM Research Study Background Phalai Findings a IE
216. 00 Operation Gt Test Gateway 96OGO00150164 Store long term files with archive dialog TrendiBlock 12 gt 03 12 2002 09 15 33 000 Operation Gt Test Gateway FCS0103 FCS0103 Fail 03 12 2002 09 25 05 000 System Alsrm Tes Galeway FCS0102 FC5010z Fail 03 12 2002 09 25 21 000 System Alarm Test Gateway 1LIC300 1LIC300 Bottom Level ACK 12 12 2002 23 17 22 757 Process Alarr Test Gateway _ 1FIC200 1FIC200 Crude Input Flow ACK 12 12 2002 23 17 22 757 Process Alarr Test Gateway 1FIC200 1FIC200 Crude Input Flow SV 6 00 TNE H old 2400 TESTUSERGHISO164 12 12 2002 23 19 46 000 Operation re Test Gateway 1FICZ00 1FICz00 Crude Input Flow PV 1936 TME M HI Recover 12 12 2002 23 19 57 000 Process Alarr Test Gateway 1LIC300 1LIC300 Bottom Level PV 77 8796 HI Recover 12 12 2002 23 23 33 000 Process Alarr Test Gateway FCSO103 FC50103 Fail 12 12 2002 23 24 59 000 System Alarm Test Gateway FCS0103 FCS0103 Too Heavy Load 16 02 2003 13 19 22 000 System Alarm Test Gateway HIS0164 TESTUSER UserOut TESTUSER HISO164 16 02 2003 13 34 47 000 System Alarm Test Gateway FCS0103 FC50103 Fail 16 02 2003 13 43 03 000 System Alarm Test Gateway FCS0103 FCs0103 Fail 23 02 2003 20 26 27 000 System Alar Tes Galeway FC50103 FCS0103 Fail 26 02 2003 18 14 36 000 System Alarm Test Gateway FCS0103 FCS0103 Fail 26 02 2003 21 36 29 000 System Alarrr Exaquantum Web Alarms amp Events Web Page 135 1 6 Exaquantum Excel Add in The
217. 000 10 000 10 000 A mson Dong Calan NECaoNgzan ENa Duong E Formoza ENinh Binh NUoncBi mphaLa i2 4 2 2 JETRO 2010 4 2 3 2005 2008 100 600GWh 1 2 31 300GWh 5 2008 7
218. 1 736 30 806 34 088 39 189 37 5 C C 28 803 28 409 30 700 31 272 30 918 29 6 9 438 10 463 11 756 14 905 13 886 13 3 3 187 2 959 3 147 3 006 3 142 3 0 89 293 92 481 92 481 101 282 104 469 100 2008 1 COC 2 3 2006 2 1 8 PLN 2002 21 460MW 2006 24 850MW 16 2006 CIC PP 5 77 By 2 1 8
219. 10 8 e 48 e PHAT A Se a ee
220. 5 Pha Lai 2 X 4 2 2 2005 2006 2006 Hoa Binh 1 920MW 30 Pha Lai ee Pha Lai Pha Lail 440MW Pha Lai II 600MW 1 040MW 39 405MW GWh GWh 40 000 40 000 30 000 30 000 20 000 10 000 10 000 a a no t 5 e 8 8 oa NDam phu My MOMon s OS amp NhonTrachi CaMaui ama Bourbon Eve Dan E Hiep Dhuoc Vuong NDhuMy4 SPhuMy3 NPhuMyz Can Tho WDai Ninh mThu Duc B Ba Ria EPhyMy21 MPhyMy Wm Se San wm Vinh Son E Da Nhim GWh GWh 40 000 40 000 30 000 30 000 20 000 20
221. 5 8 JETRO 2010 1 2010 MW 18 000 1 mIPP BOT Import W Diesel amp Small HPPs 16 000 mOil m Coal 2009 21 09 mCCGT m Hydro 14 000 12 000 4 10 000 8 000 4 6 000 4 4 000 4 2 000 od T T T 2005 2006 2007 2008 X 4 1 2 JETRO 2010 27 39 2007 7 6 2020 4 1 7 2015 15 2020 10 2015 42 341MW 2020 2020 2005 60 611MW 50 000MW
222. 50 Phalai LEIS CORRE HD SERIE LC oOI 23 ZO AIL NPS Feasibility Study FS ou 11 22 IE 9 00 11 00 86 IE International Relations Dr Tuan A Nguyen Director Mr Nguyen Van Thong Mr Doan Ngoc Duong Director Yokogawa Japan Mr Tomiyama Yokogawa Vietnam Mr Khoi JCI Mr Abe Mr Takeda Mr Aoki IE O Business Scope BE1lectric Power Energy 2
223. 6696 L 72 5 C38 dats 10 4 1 4 7 Ariz AA kWh MW 1997 19 151 13 0 15 303 14 8 2 3 18 2 3 582 60 8 1998 21 655 13 0 17 725 15 7 2 6 16 1 3 875 63 8 1999 23 763 9 7 19 592 10 5 2 3 15 3 4 329 62 6 2000 26 562 11 8 22 397 14 3 14 5 4 898 63 0 2001 30 608 15 2 25 843 15 4 14 2 5 665 61 8 2002 35 801 17 0 30 257 17 1 13 4 6 470 63 2 2003 40 825 14 0 34 885 15 3 12 2 7 366 63 4 2004 46 201 13 2 39 696 13 8 12 1 8 283 63 7 2005 52 050 12 7 44 921 13 2 11 8 9 255 64 2 2006 59 013 13 4 51 350 14 3 11 1 10 187 66 1 2008 JETRO 2010
224. 67TWh 2010 10 MP10 20 HAAR A CO 11 2015 LNG 17 2 2 2 5 1
225. 9 16 23 19 85 72 777 71 SESB 2006 16 58 20 58 0 7 47 29 69 SESCO 2006 23 19 25 37 0 8 11 40 45 2006 307 23 665 11 23 19 101 30 847 85 2 HIENE M IRTE 2008 R 2 1 19 23 7 10 8 CA TNB lt 2005 4 Ne Sf E 2 1 20 TNB T MZ 385 1993 El zi FS Su ELA IPP 2006 T RI FEDS 26 K e E ae
226. DMS OMSS Analog Digital Type of Data Features of Maintenance Work Example of Utilization Scenario Processed by calculation accumulation statistics etc Plant operation staff Managers for short long term maintenance Maintenance staff in front line Mainly for CBM Condition Based Maintenance Secondary for TBM Time Base Maintenance Responsive Daily maintenance oriented Boiler efficiency deterioration is realized Operation or maintenance staff is to check relevant parameters for example by comparing parameters on the trend graph display Maintenance staff takes necessary action to recover efficiency based on the finding on the trend graph File information Documents such as drawing specification ledgers reports etc Managers for long term maintenance Maintenance staff in back room Mainly for TBM Time Base Maintenance Secondary for CBM Condition Based Maintenance Deliberately Long term maintenance oriented Trouble report comes up from the front line which is difficult to fix Maintenance staff is to check the reported problem with past maintenance records such as trouble history inspection history and so forth related to the relevant equipment Experiences obtained maintenance work on ODMS have to be stored up on the knowledge base of ODMS and concurrently transformed to OMSS Any maintenance work can occasionally be supported Correlathvity of by knowledge transformed
227. EMEH Pha Lail Pha Lai I 3 25 REM 1 Pha Lai I 6
228. Exaquantum Excel Add in utilizes the standard Microsoft Excel capabilities to provide a display of the process information lal x File Edt View Insert Format Tools Data Exaquantum Window Help Type a question for help i X EHSA Say BA 7 oo A ohlin 0 Qo 409 EELDA Microsoft Excel Stand Alone Report V5 xls REFORMER OPERATION RATE No TReformer HESA No 2 Reformer A Sa 9382 WNMHKcaTon WHY TV C3H8 CH MW KcaWNM3 KcaNM3 21x 20x 336 226z 000z Exaquantum Excel Add in Dynamic Data Visualization The Exaquantum add in supports drag amp drop to simplify the creation of Excel spreadsheets by using the Exaquantum Data Selector which is also common to Exaquantum Explorer via DCOM and Exaquantum Web via HTTP Some of the display capabilities available are Live point trend or aggregation Historical point trend or aggregation History replay point trend or aggregation ad hoc aggregations Query using ODBC Retrieval of Exaquantum tag static information for analysis and documentation purposes 136 4 2010 2008
229. Exaquantum WELCOME QUANTUMUSER Plant View Settings About el Alarms amp Events Mimics RBNS View Trends E ITAG VTE RTT Show 1 EI Adobe Name QDemo IOWGas DO1FCOO1 SS el B E Alarms Description Flow Control Manage My List E E Controls Eng Units Tons Day 0 Items in 0 Groups a g pcs LowEng 40 A QUICK LINKS is High Eng 120 ES Start d E zl Now EE E 001GFI951 oiGPIS51 Cine End 001GP135z m 5e E Viewing the Role Based Name 001GSIS01 Refresh Data Space 001GsI502 Secondary 001651503 Row Timestamp Value Primary Quality Quality 001GSIS04 26 March 2003 01451505 1 ye 49 1794702889705 Good None Edit 001P1001 001P1002 oo1Tcoo1 00171001 00171002 00171003 Q0FCO01 Exaquantum Web Current and Historical Process Values Web Page 132 The following is an example of an Exaquantum Web Graphic Web Page Q3 Ogd 5 3u i mE Exaquantum WELCOME QUANTUMUSER Plant View Settings zi Alarms amp Events Mimics RBNS View Trends Ej Spot Time Now x x pee c Update Manage My List 0 Items in D Groups Surge Control Dekhelia Q RECIRC VALVE CONTROL LOAD CONTROL SPEED CONTROL E UE mo orams tefesf 4874 fonuDay 3178 qiem2 Q0 en2 M Viewing Mimics Read more KR NR ro Exaquantum Web Graphics Web Page 133 The following is an exa
230. Phalai I 1983 4 Total 1040MW 2 7 8 23388 A H Phalai I 110MW 4 E Phalai II 2001 1 6 BBg AA LZE E FE 3 7 Phalai II 300MW 2 6 7 4 1 2 1 Critical Boiler AH FGD Mill Critical Maintenance Interval M FGO Mo
231. aa SS 4 6 IE Questionnaire o iE b MESI 1 500 C RUNDE 5 6 EPN DDT GE
232. assess whether the anticipated performance improvements from automation upgrade would result in sufficient reduction in CO2 emissions and reduce unexpected outages P 4 YOKOGAWA 106 FS Obj ectives vigilantplont power stations and to assess the impact an upgrade of the automation system would have on station performance in the areas of reliability and thermal efficiency It is anticipated that improved performance will reduce the fuel required per MWh and so will reduce CO2 emission levels Scope Activities vigilantplant Examine operation and performance of the station s units Review the impact of the quality of coal supplied to the stations Review main plant condition and assesses the effectiveness of planned main plant refurbishment and modification 107 gt Scope Activities vigilantplont gt Review station management issues including operation and power production planning manpower allocation etc gt Identify the scope of any proposed automation upgrade and assess the benefits to the station from an upgrade It is expected that the upgrade would include all necessary additional or renewed process measurements and controlled devices installation of a distributed control system DCS incorporating the latest control principles and installation of the latest process information management system PIMS vigilantplant Expected effect of modernizati
233. ate without external manual administration and once configured will automatically Generate its internal database from Yokogawa CENTUM CS CENTUM CS 1000 CENTUM CS 3000 and CENTUM VP DCSs Acquire DCS sourced process item values and historize them in a selectable number of ways Perform real time calculations based on these item values to provide better insight into the process Calculate aggregated values for any items which it manages from raw process to calculated and even static reference values Maintain a user defined length of history of the aggregated values The primary system elements of Exaquantum are Real time Process Image Business Historian Data Manager Alarms and Events Data Quality System Configuration and Administration Tools 1 2 2 Exaquantum Real Time Database Exaquantum s real time database provides the following functionality Maintains a process image which contains the current process state High performance secure and reliable database Rapid PCS data gathering Alarms amp Events capture from the PCS where supported User defined calculations Security Data types analogue digital text and alarm event Write back of control data to the PCS if enabled allowing supervisory control The primary connection is via the embedded Exaquantum OPC client via OPC servers for efficiency and ease of use 119 OPC data gathering groups are automatically managed by Exaquantum requiri
234. ates the hardware architecture for a typical multi user multi Exaquantum and multi PCS environment Exaquantum Clients Client Server and Web Server 123 1 3 Exaquantum Specifications 1 3 1 Exaquantum System Specifications The Exaquantum R2 50 system specifi cations ae Maximum number of tags 100 000 ca installed on a 2 8GHz Dual CPU Server with 4 Gbytes RAM 50 000 tags installed on a 2 8GHz single CPU Server with 4 Gbytes RAM 200 000 tags multi servers Throughput of Exaquantum Maximum data 100 000 data minute on a 2 8GHz Dual CPU Server acquisition 50 000 data minute on a 2 8GHz single CPU Server Data iem gathering interval minimum Data item data historization interval minimum Number of concurrent users Exaquantum Explorer Up to 32 server Maximum number of concurrent users Subject to the configuration of the Exaquantum Web Exaquantum Web Server s Maximum number of connected OPC servers per server A suitable hardware platform and infrastructure network must be chosen to support the required sizing With up to five 5 Exaquantum servers For systems larger than 200 000 tags please contact your Yokogawa representative 3 When using tags from other Exaquantum servers in calculations the Exaquantum servers must be included in the number of connected OPC servers One Exaquantum tag is defined as either one process value e g PV MV MODE etc or one calculation or one manual i
235. ce System Maintenance Sys JICA CO2 H 2 6 A Maintenance EVN 92 JICA M8 11 25 TE 14 00 15 00
236. data to give quick response times trend groups including system and user specific simple drag and drop of tags and the ability to compare multiple trends on the same screen where each trend can be easily configured with different trend groups amp separate time ranges 10 Exaquantum RDS Remote Data Synchronization Transfer process data between Exaquantum Historians over a volatile network link such as satellite or microwave connection 11 Exaquantum RM Report Manager Provides the ability to schedule Microsoft Excel created reports for printing and or sent via emails 12 Exaquantum SDM Synchronous OPC DA Manager Provides an alternative method of OPC connection allowing additional control of loading for OPC servers and the underlying sub system where it is required 13 Exaquantum SER Sequence of Events Recorder For capturing Alarms amp Events and process data analyzing Alarms amp Events detecting trips and printing reports 14 Exaquantum VPN Manager Establishes and maintains a Virtual Private Network VPN connection from an OPC server to Exaquantum providing enhanced network security including the ability to allow DCOM to be run through a NAT Network Address Translation enabled firewall 1 2 Exaquantum Overview 1 2 1 Introduction Exaquantum is an advanced integrated database with desktop tools and communications interface software which forms the platform for application software packages Exaquant
237. eal time process data servers historical database servers relational database servers and any other applications Point and click mouse or roller ball for fast and easy use Icons and hot spots for selection of new windows mimics reports and menus Automatic control of the GUI in response to process behavior such as the presentation of a relevant mimic when an alarm triggers Simple objects Line rectangle circle ellipse etc Input objects push button slider scrollbar data input etc Dynamics Foreground color change background color change Gauge control Rotate line change arc direction change Path move Visible Invisible Dynamic text Hot spots to control the GUI for example a Click to new view full screen Click to new view partial screen Click to new window running any application Click to pop up Close view 131 1 5 Exaquantum Web Web Server GUI Exaquantum Web provides a powerful thin client web based Graphical User Interface GUI in which users can obtain the following information Current and Historical process values Graphics Trends Alarms amp Events BONS Additional web pages can be created by the use of the Exaquantum web graphics package and for more complex web pages Microsoft FrontPage is suggested The following is an example of an Exaquantum Web Current and Historical Process Values Web Page 9 2 Qualamm digE aH Goge search web sunl wwlPeemerar Eup Aidt
238. ed outages etc reduction CO2 ie Turbine Economic returns Approx 300 MW case k Ele Example Plant output improvement vigilantplant Benefit estimation Typical area of improvement Improves plant availability and safety Improves operating procedures Improves maintenance procedures Improves ancillary plant performance Smoothens plant operations Recovers megawatts of power Reduces oil usage for start ups Enables the creation of feasible maintenance schedules etc Highly reliable DCS amp instruments required for reduction in forced outages Economic returns Approx 300 MW case Electric Corporation Global Pov 110 Economic Return Ultimate goal Driving factors Predictive maintenance Plant optimizer Etc 2nd Target Driving factors Improve heat rate Inplement coordinated control Etc Driving factors Reduce compulsory outages Continuous operation Etc Global Power Conference 2010 Yl ower Plant performance vigilantplgn Improvement plan and expected effect will be totally different per power stations In this sense FS Feasibility Study is very crucial in defining investment amount and expected return of profit Global Power Conference 2010 Yl ower P 14 YOKOGAWA 111 gt M ethodology vigilantplant Visit by Yokogawa amp JCI team to to one of EVN power stations for discussi
239. for EVN Power Stations Yokogawa Electric Corporation 9 3 Exaquantum Proposal Insert Issue 4 66 1 1 3 L1 1 1 OH 2010 11 18 CR 13 00 14 40 TH xn IH TI he or t Bi 2 CO zi 3 2
240. ibution Company 10 110KV Transmission Company 220 500KV 50 50 Maintenance Phalai Maintenance Service NPS Maintenance Phalai Maintenance NPS 700 3 3 Maintenance 1 H 2 Experience staff 3 4 Tool Equipment 1
241. imed so that relevant information is always at hand when it is required Exaquantum Explorer maximizes the use of Microsoft s open standards such as DCOM and ActiveX which allows it to be easily integrated with other Microsoft standard tools irrespective of their function or who manufactured them The benefit of this is that users can choose from the vast array of third party software matching the Microsoft standard components which best suit their needs and way of interfacing This way one can truly achieve the openness and interoperability which has for so long has eluded the computing world Exaquantum Explorer can be used to monitor changes in continuous or batch processes for any industrial application Exaquantum Explorer helps plant engineers and operators maintain product quality and reduce waste and rework 1 4 1 Exaquantum Explorer System Components Exaquantum Explorer is an integrated suite of software applications that provides reporting and analysis facilities for users Through the use of the Exaquantum RBNS Role Based Name Space every user from the manager to the operator can access that is applicable to their particular job function 126 From powerful scalability features to efficient productivity tools Exaquantum Explorer is designed to promote reusability to save time and lower development costs Exaquantum Explorer is a Microsoft Windows based GUI that provides clear easy to use and configurable display
242. isture E Open bid Daily Maintenance Maintenance Service Company Operation Data 3 Hourly Data 3 Data Data Interval Maintenance Phalai I Plant Yokogawa Invite 54 E DCS 08 CD Data E
243. l 13 2 1 13 2 R gt 2007 MW E 2011 4 2007 2016 2021 3 764 5 559 4 684 4 779 7 115 4 089 9 775 2 989 4 117 4 117 6 917 6 917 C C 13 531 18 147 23 294 31 228 GT 973 973 973 973 291 440 440 440 9 300 300 1 300 2 000 0 0 4 000 0 28 535 34 037 44 127 58 321 2008 H 1 EGAT 2007 2 C C PDP 3 SPP 2021 3 iT BSBA 2021 2007 2 f MZ E 00 DBE
244. l DCS Pha Lai Pha Lai I DCS Pha Lai Pha Lai NPS Pha Lai EVN
245. m Mr Chu Thai Duong JCI Mr Aoki ON OFF 5 10 k
246. me and historical trends and produce reports Design mode is used to create configure customize and organize the information and displays used in Run mode The Exaquantum Explorer display comprises the following components Work area Application launcher Data selector Workbook viewer only available in design mode Palette only available in design mode Property sheet only available in design mode 3 Application Launcher Exaquantum Explorer in Design mode 128 Work Area The work area is used to create configure customize and organize the documents and view the information In the design mode new documents can be created or existing documents modified Items can be configured sized and positioned within a document Existing items can be resized moved deleted or copied to another document In the run mode the user views and monitors the information using the documents created in the design mode Application Launcher The Application Launcher can quickly open a frequently used application such as Microsoft Word or Excel It can be divided into groups to help organize applications It allows the operator to create his own groups and shortcuts to share information with other groups applications or programs Data Selector The data selector shows the structure of the directories documents and data points in the plant It uses a tree structure similar to many Microsoft applications t
247. mple of an Exaquantum Veb Trend Web Page Exaquantum WELCOME QUANTUMUSER Exaquantum WEB Trend Live History spnbri 13 04 Tue 25 Mar 2003 13 05 13 06 13 12 13 07 13 08 13 00 13 10 13 11 Time Exaquantum Web Trend Web Page 134 The following is an example of an ExaquantumWVeb Alarms amp Events Web Page Viewing Alarms and Events Read more WELCOME QUANTUMUSER Test Gateway 03 12 2002 09 03 46 000 Test Gateway FCS0102 LEFT Fail SW STOP Codec 0000 0000 0000 0000 03 12 2002 09 03 50 000 Test Gateway FC50102 LEFT Manual Reset Start 03 12 2002 09 03 50 000 Test Gateway FCS0102 LEFT Control 03 12 2002 09 03 50 000 Test Gateway FC222A Flow Control MAN IMAN 03 12 2002 09 03 50 000 Test Gateway FC222B FC222B Flow Control MAN IMAN 03 12 2002 09 03 50 000 Test Gateway FCS0103 FCS0103 Recover 03 12 2002 09 04 16 000 Test Gateway FCS0103 FCS010 LEFT Fail SW STOP Codec 0000 0000 0000 0000 03 12 2002 09 04 20 000 Test Gateway FCS0103 FCS0103 LEFT Manual Reset Start 03 12 2002 09 04 20 000 Tes Galeway FCS0103 FCS0103 LEFT Control 03 12 2002 09 04 20 000 Test Gateway FC222A FC222A Flow Control MAN 03 12 2002 09 04 43 000 Mode Status Test Gateway FC222B FC222B Flow Control MAN 03 12 2002 09 04 43 000 Mode Status Test Gateway 96OGO00150154 Store long term files with archive dialog lt TrendiBlock 12 03 12 2002 09 15 31 0
248. ms and events that occur in the process e User specified rules can be used to filter alarms and event messages 1 2 6 Exaquantum Item Data Management Item data management provides e User defined defaults for measurement type specific behavior OPC notifications historization and aggregation parameters etc 1 2 7 Exaquantum Configuration Configuration Tools enables e The ability to perform an equalization which is an initial configuration activity during which the Yokogawa s DCS system s configuration details are copied into the Exaquantum server e The Configuration Engineer can select how much of a DCS function block is required in Exaquantum e g PV SV MV and MODE for a PID function block e Minimum engineering and testing is required to configure DCS tags in Exaquantum leading to fast project start ups 1 2 8 Exaquantum Data Quality Data Quality embraces the two important criteria of confidence rating and consistency 121 e Each item value contained in Exaquantum includes its associated quality flag which is maintained throughout its life from acquisition to archive e Where calculations are involved Exaquantum propagates the quality flag s onto the calculation output item value and is representative of the quality of all the process data used by the calculation e Aggregations are similarly marked with a confidence rating called PercentGood which is the time that the value had a GOOD quality flag d
249. nd monthly with custom periods such as shift configured to meet the plant requirements Aggregation method is determined by the data s measurement type As an example Average and Totalized Flow aggregations are sensible for FLOW 120 type values while for LEVEL type signals Spot and Delta Inventory aggregations are more appropriate e Full support for daylight saving 23 and 25 hour days Historized data archive e Each historized type can be specified in terms of the length of its history to be kept online called the retention period e When the oldest history exceeds the defined retention period it is available to be archived to removable media such as a tape backup unit either on demand or automatically e Ifthe appropriate archival media is mounted at the time of a history retrieve request which spans the retention boundary the user will not notice that part of the data came from online and the rest from the offline archived history store 1 2 4 Exaquantum Data Manager The main functions of the Data Manager are to provide e Primary data access routing mechanism e Users with data selection and retrieval capabilities e For authorized users the ability to write data back to the real time process image e Arbitration based on the user s role the extent of the data s visibility and accessibility 1 2 5 Exaquantum Alarms and Events The primary functions of the alarms and events manager are e Annunciation of alar
250. ng no user configuration Exaquantum connects to the Yokogawa system family such as XL CENTUM XL CENTUM CS CENTUM CS 1000 CENTUM CS 3000 CENTUM VP Stardom FastTools SCADA and DAQstations Non OPC external system interfaces are available OPC servers for non Yokogawa systems can be provided User defined calculations are created using Microsoft Visual Basic Scripting Any number and complexity of calculations can be created Extensive data access Application Interfaces ASCII CSV files COM DCOM NET Exaquantum APIs Excel add in SA 95 ODBC OLEDB OPC Client DA 2 05a A amp E 1 1 HDA 1 1 Batch 1 0 OPC Server DA 2 05a HDA 1 1 SOAP XML via Exaquantum Web services 1 2 3 Exaquantum Business Historian The Exaquantum business historian provides the following functionality Historisation and Archiving Aggregations Maintains a historical record of the real time process image s data Designed for both raw process data or data augmented by calculations incorporating business information Stores real integer and textual e g events discrete states etc data types Available history types are Raw Aggregated Irregular Event Aggregate value formation A single item may be aggregated into as many different user specified production periods as required The periods are as defined in a system wide production calendar The standard installation includes hourly daily a
251. nput For example an Exaquantum system with 100 PV 100 MV 50 calculations and 30 manual inputs would total 280 Exaquantum tags Aggregations and quality indicators are not Exaquantum tags 1 3 2 Exaquantum Hardware The Exaquantum major hardware components are Exaquantum server e Exaquantum Web server may be located on the Exaquantum server for a small number of Web users e User PCs 124 The following are typical minimum requirements for an Exaquantum R2 50 system Exaquantum Server CPU amp RAM 50 000 100 000 tags installed on a 2 8GHz Dual CPU Server with 4 Gbytes RAM 50 000 tags installed on a 2 8GHz single CPU Server with 4 Gbytes RAM 20 000 tags installed on a 2 8GHz single CPU Server with 3 Gbytes RAM 10 000 20 000 tags 1 GHz single CPU Server with 2 Gbytes RAM 500 10 000 tags 1 GHz single CPU Server with 1 Gbyte RAM 512 Gbytes disk Web server 2 8 GHz Pentium CPU 4 Gbytes RAM 18 Gbytes disk 2 2 GHz Pentium CPU suggested 512 Mbytes RAM suggested 2 Gbytes disk CRT resolution 1024x768 Color 65 536 This information is provided as a guide only as this is dependent on the amount of data being captured by Exaquantum and the number of users Slower speed dual processor CPUs is preferred as an alternative to a single high speed CPU Disk sizing is dependent on the process data scan rate and retention period A disk sizing tool is available upon request 1 3 3 Exaquantum Software e Exaqua
252. ntation of information to users Transfer of data to from other software packages Manual data input Calculations Reports Trends and Process Graphics presented via Exaquantum user interfaces Exaquantum Explorer amp Exaquantum Web e Process data and Alarms amp Events accessed from Microsoft Excel using the Exaquantum Excel add in 116 Exaquantum has a very clear business directed focus to provide a complete solution from the control system through to the enterprise resource planning level It is the core technology in the Yokogawa Enterprise Technology Solutions ETS concept Exaquantum provides industry with information solutions covering both the business and the process control domains eliminating the gap between business and process control and integrating information to match user requirements Exaquantum can be divided into the following components 1 2 Exaquantum Data Historian PIMS IIS MES Exaquantum client interfaces a Exaquantum Explorer b Exaquantum Web c Microsoft Excel The following Exaquantum expansion packages are also available T Exaquantum ADX Asset Data eXchange Exaquantum interface to Computerized Maintenance Management System CMMS packages such as Maximo Exaquantum ARA Alarm Reporting and Analysis a EEMUA 191 based Alarm Reporting and Analysis package providing a large number of standard reports available via the web Reports include KPIs Alarm Peak Alarm frequency Alarm
253. ntum R2 50 is supplied on one DVD including a set up utility and instruction manuals and guides e The Set up utility performs the installation of products to PC with interactive guidance e Instruction manuals consist of on line Help Users Manual Engineering Guides and Installation Guide The major software Exaquantum components are dware are Exaquantum Server 32 bits Windows Server 2008 Standard Edition SP2 Windows Server 2003 Standard Edition SP2 Windows Server 2003 R2 Standard Edition SP2 Windows XP Professional SP3 2 Microsoft Excel or Office 2000 XP 2003 2007 Microsoft Internet Explorer 7 0 Microsoft Internet Explorer 6 0 SP1 SP2 Microsoft SharePoint Designer 2007 Microsoft FrontPage 2000 2002 2003 Adobe Reader 7 8 0 9 1 4 Limited to a maximum of 3 000 Exaquantum tags and 4 Exaquantum Explorer clients Exaquantum Web server Windows Server 2008 Standard Edition SP2 Windows Server 2003 Standard Edition SP2 Windows Server 2003 R2 Standard Edition SP2 Microsoft Internet Explorer 7 0 Microsoft Internet Explorer 6 0 SP1 SP2 Internet Information Services IIS Adobe Reader 7 8 0 9 1 needs to be installed User PCs with Exaquantum Explorer Windows Server 2008 Standard Edition SP2 installed Windows Server 2003 Standard Edition SP1 SP2 125 Windows Server 2003 R2 Standard Edition SP2 Windows Vista Business Edition SP1 SP2
254. o show the directories The data selector shows the available process data including aggregations and static information such as description and engineering ranges This data is normally organized into folders containing data points The data selector is available in Exaquantum Web and the Exaquantum Excel add in Workbook Viewer The workbook viewer shows the directory of the documents in a similar way to the data selector A workbook can contain multiple documents but only one workbook can be open at any time The user switches between the data selector and the workbook viewer as required Palette The Palette is only available in the design mode It displays items that can be placed in documents The items can be dragged and dropped onto documents in the work area where they can be positioned and sized as required Property Sheet The property sheet is a pop up menu that allows the properties of any item to be viewed and changed The properties of an item can be changed while it is on the palette or in a document 1 4 2 Exaquantum Explorer Core Functions Reporting Analysis 129 Company reports and data analyses are improved with the support of accurate data Exaquantum Explorer provides Real time as it happens or Archive Historical data The ability to chose a time frame from minute by minute to yearly averages Snapshot or long term history for trending analysis Process data key performance indicators KPIs and plant p
255. of Maintenance Equipment Maintenance Management Patrol Failure Outstanding Mid and long Term Inspection Analysis Status Control Maintenance Plan OMSS Data Base Study of how to maintain Maintenance Record Inspection Record Operation Maintenance Manuals qy Supervision Desk Review of work for work Working Instruction Procedure Time Schedule Daily Progress Report Operation Management Ledgers Maintenance Inspection history Lifetime remaining Pending matters taken over to next periodical maintenance or spot maintenance required Relevant Information of Plant Equipment Drawings of Plant Equipment Piping Electrical Wiring etc Searchable from Ledger Searchable by identifying attribute such as name of equipment unit P S name etc Diagnosis by Remaining lifetime or Failure history Occurrence of Failure Time Day Year Temporary measure for primary cause Performance etc Root cause and permanent measure Preventive action to other equipment in other unit other P S etc Diagnosis Support for Plant Equipment Function Evaluation and Planning of interval of Periodic maintenance in terms Maintenance of whole plant level equipment level etc Planning Support Planning of maintenance based on Information of Plant Equipment Result of diagnosis for Plant Equipment 103 Comparison between ODMS amp OMSS O
256. on of Control amp Instrumentation system 108 gt Example of 3Es annual returns for coal fired vigilantplant 3Es estimation 6 oe Area 1 Boiler efficiency Efficiency improvement Emissions reduction CO2 Approx Economic returns Approx Area 2 Turbine amp BOP efficiency 300 MW case Area 3 Plant output Global Power Conference 2010 E YEL Power P 9 YOKOGAWA Example Boiler efficiency improvement vigilantplant 3ES estimation z Typical area of improvement icienc Eff y Improves heat rate improvement Improves steam temperature control Approx Implements coordinated control Adapts to various fuel properties Enables optimal use of fuel air mixing Optimizes closed loop combustion m Performs multivariable predictive control Emissions Enables smart automatic soot blowing etc reduction CO2 Approx Boiler Economic returns Approx 300 MW case va Electr aration Global Pow ds ce 2010 P 10 YOKOGAWA 109 gt Example Turbine amp BOP efficiency improvement _vigilantplant 3Es estimation Typical area of improvement Efficiency gt Rain d improvement cer condenser back pressure loss Minimizes feed heater loss Approx Minimizes high low steam pressure loss Minimizes low steam temperature loss Minimizes auxiliary power consumption Optimizes feed pump operation Emissions Reduces forc
257. ons with management engineering technical and operating staff inspection of control room and plant and gathering of relevant site data and reports Preparation of a preliminary report based on the information and data received during the visit gt M ethodology vigilantplant Return visit to the power station to review the preliminary report and the base case data to report preliminary conclusions to the Chief Engineer and senior station management and to obtain further performance data Preparation of the final report incorporating the comments arising from the visit and station review 112 Global Power Conference 2010 Yl ower vigilantplont Project in Mongolia Global Power Conference 2010 YEI Power 113 After retrofit ae Coal consumption rate aba d The fuel consumption was dramatically reduced with boiler efficiency improvement Before 409 g kWh in 1997 After 317 g kWh in 2007 from 1997 to 2007 TES4 could achieve a stable z supply of electricity and district heating steam 200 204 2005 20 2007 22 down Total CO2 emissions amount kilo tons After retrofit Improved boiler efficiency and reduced coal consumption have made it possible for this power plant to educed significantly CO2 emissions 1997 1998 1999 2000 2001 2002 2003 2004 2005 2008 C02 calculating formula Tons Coal Consumption x Calorific value x
258. rofitability Comparisons of current conditions with historical data Views The data can be observed in numerous ways and in any combination The data can be viewed as Sophisticated trends Dynamic graphics Mimics Graphs Charts Events and Alarms Trends A trend shows real time dynamic or historical static data on a graph table or chart A trend can be displayed as a specific view in a document or on demand The display can show an individual trend or a trend group Trends groups can contain multiple individual trends A trend can be switched between live historical and purely historical data For live trends the update rate can be configured on a per trend basis uiui D E Exaquantum Explorer Trend in Run mode 130 ActiveX Exaquantum Explorer uses the component based ActiveX technology that unleashes the power of the data The ActiveX components include control graphic video sound scripting and objects that enhance the layout and functions of the user documents The benefits of the ActiveX components are that there are many readily available tried and tested components The components greatly simplify the document design 1 4 3 Exaquantum Explorer Summary Exaquantum Explorer provides a powerful environment for the creation and deployment of graphical user displays and reports It provides the following functionality Client Server architecture Graphical User Interface clients can access distributed r
259. s in the familiar Microsoft format Users can make use of existing pre configured views or can create their own plant views data representation or analysis views in the form of Exaquantum documents As an easy to use integrated component based GUI Exaquantum Explorer has all the features and functionality needed to monitor processes effectively Designed for the Microsoft Windows platform it allows ActiveX technology to be embedded into graphical displays and has the same easy to use features found in Microsoft software packages It allows the creation of a wide range of applications from ad hoc reports through operating screens to full data management applications Exaquantum Explorer in conjunction with these applications can provide an editing and reporting environment usable by non programmers but with the power and flexibility of a scripting language for programmers An ExaquantunvExplorer Toolkit is available for Applications to be configured This allows the applications to utilize the capabilities and interfaces of Exaquantum Explorer itself into their implementation won_pxw BoseView pud Flares and Closed Drain uos ioo 2 PCa owe ew o sent Het bet Um See j Rasa 5 B cawrm 127 Exaquantum Explorer in Run mode Exaquantum Explorer operates in two modes Run mode and Design mode Run mode is used to monitor the information navigate between documents compare real ti
260. tudu dc adeat 21 CHE Actor NE 21 3 9 Jor Bx oett tete ie rentis eee eco t etaed 21 3 8 kkk 22 3 4 29 4 A AEE AA A E A EA E O AE E AE A A 24 4 1 ue cece cag ied rom oe E Rae dre ete 24 4 2 ui i 30 4 3 kk 33 4 4 35 5 41 5 1 41 5 2 43 5 8
261. um aims to improve manufacturers control and management of their work processes Standardized application software packages form part of the Exaquantum range of products and provide individual solutions without developing customized software Process Control Systems typically DCSs produce large volumes of data that must be converted into useful efficient information to facilitate management decisions and optimize the operation of the plant Exaquantum gathers data from the PCS and processes it to deliver high value information to all decision makers in the enterprise Exaquantum incorporates a strong business historian which is aware of the plant s production calendar It performs sensible job directed and type specific Historisation and Aggregation of the data gathered from the PCSs 118 Exaquantum can provides hourly daily and monthly aggregated average minimum maximum standard deviation summation and spot stored values Custom aggregation periods can also be defined such as a shift which can be configured as being 8 hour periods beginning at midnight This would result in Exaquantum aggregations being stored at the end of each shift 3 every 24 hours Combined with this is the inherent ability to perform both simple and complex scripted user defined calculations the results of which can be historized and aggregated according to their type and against the plant production calendar Exaquantum has been designed to oper
262. unction a nM Data Editin 4 gt Data Editing Data Base Periodic Calculation Data Acquisition Data Transmission Processing Data Searching for P S NPS Applications on PC Next Sheet 101 Functions for Maintenance based on On line Data Historical Data Retrieval 4 t Process data graphical Display Daily Log Sheet Display Applications Performance Test Recording on PC Plant start stop loss management Alarm status trend management Auxiliary machine operational hours EE management Optional logging data reporting Functions of ODMS ww OOOO Fs Trend graph display on historical data basis Multiple trends display overlapped on the screen Scatter chart display Processed Data Calculated Data such as lapsed time average integrated value and so forth Operation Data Real time Operation Data display as trend graph bar chart Graphic Display circular chart etc Alarm On Off Equipment status On Off Message display Status change frequency graph display Replay of past event in chronological order Historical Data Retrieval Historical Message Data Management Thermal Efficiency Monitoring Evaluation of heat loss during Plant Start Stop Performance Test Report Thermal Efficiency Management Power Generation Log Energy Management Log Environmental Impact Log Fuel Consumption Report Report Generator 102 Life cycle of equipments in terms
263. uring the aggregation period In order to be trustworthy data must be both accurate and consistent e Accuracy is assured by providing a quality indicator for all values in the system and highlighting for inspection and correction key values whose PercentGood indicator is less than a predefined limit 1 2 9 Exaquantum Configuration Tools The Exaquantum suite of configuration tools is used for system configuration and set up using the Microsoft Management Console MMC including e System Configuration o OPC Gateways Production Calendar OPC History Catch up Exaquantum Servers for Exaquantum multi server operations Role Based Name Space Management o License Management e Tag Configuration Tag Template Function Block Template Tag Generation OPC Equalization OPC File Import Function Block Generation Tag File Import e Tag Editor e Archiving e Event Management configures Microsoft Message Queue Browse and create Yokogawa DCS Human Interface Stations HISs Trend Groups within Exaquantum e Help and Support 1 2 10 Exaquantum System Administration Tools The system administration tools provide many abilities including e System start up shutdown e System health monitoring 122 e Time synchronization e Audit trail e OPC Data Recovery 1 2 11 Exaquantum Typical Hardware Software Architectures The figure below illustrates typical hardware architecture for an Exaquantum solution The figure below illustr
Download Pdf Manuals
Related Search