Development of guidelines for optimal operation of a cogeneration system

被引:0
作者
Kang, Jia-Lin [1 ]
Chang, Hsu-Hung [2 ]
Shieh, Shyan-Shu [3 ]
Jang, Shi-Shang [2 ]
Ko, Jing-wei [4 ]
Sun, Hsiang-Yao [4 ]
机构
[1] Tamkang Univ, Dept Chem & Mat Engn, New Taipei 25137, Taiwan
[2] Tsinghua Univ, Dept Chem Engn, Hsinchu 30031, Taiwan
[3] Chang Jung Christian Univ, Dept Occupat Safety & Hlth, Tainan 71101, Taiwan
[4] CPC Corp, Refining & Mfg Res Inst, Kaohsiung, Taiwan
关键词
Cooling capability index; Multi-linear model; Online operating guide; Net electrical energy; ARTIFICIAL NEURAL-NETWORK; COOLING-TOWER; FORCED DRAFT; POWER-PLANT; PERFORMANCE-CHARACTERISTICS; EXERGY ANALYSIS; OPTIMIZATION; IMPROVEMENT; PREDICTION; MODEL;
D O I
10.1016/j.jtice.2019.04.046
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Guidelines for optimal operation strategy of cooling water temperature are presented to find the maximum net electrical energy of a cogeneration system for turbine generators (TGs) and cooling towers (CTs). In this study, a real cogeneration plant in Taiwan, consisting of variable-frequency drive fan-based CTs and a generator, was chosen as a case study. Statistical linear models were used to build TGs and CTs. A multi-linear model was established to approach a nonlinear system in the cooling tower using a physically meaningful index, the cooling capability index, as an indicator of data clustering. The results showed that the cooling capability index was a good clustering index for the CTs. The cooling tower multi-linear model regressed by the clustering data performed well in predicting the cooling water outlet temperature. The simulated case verified that the online operating guidelines were consistent with real plant data and that it has the ability to find the optimal cooling water temperature. Two cases of plant test prove that the online operating guidelines can assist operators in operating cooling water temperature to the maximum net electrical energy. (C) 2019 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:127 / 138
页数:12
相关论文
共 24 条
  • [1] PERFORMANCE EVALUATION OF COUNTER-FLOW WET COOLING TOWERS USING EXERGETIC ANALYSIS
    Ataei, A.
    Panjeshahi, M. H.
    Gharaie, M.
    [J]. TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2008, 32 (3-4) : 499 - 511
  • [2] Optimization of cold end system of steam turbine
    Zhao B.
    Liu L.
    Zhang W.
    [J]. Frontiers of Energy and Power Engineering in China, 2008, 2 (3): : 348 - 353
  • [3] Operational energy minimisation for forced draft, direct-contact bulk air cooling tower through a combination of forward and first-principle modelling, coupled with an optimisation platform
    Bornman, Waldo
    Dirker, Jaco
    Arndt, Deon C.
    Meyer, Josua P.
    [J]. ENERGY, 2016, 114 : 995 - 1006
  • [4] Energy conservation improvement and ON-OFF switch times reduction for an existing VFD-fan-based cooling tower
    Chang, Chun-Cheng
    Shieh, Shyan-Shu
    Jang, Shi-Shang
    Wu, Chan-Wei
    Tsou, Ying
    [J]. APPLIED ENERGY, 2015, 154 : 491 - 499
  • [5] Chen G, 2017, P 7 INT C EL INF ENG
  • [6] Optimization and the effect of steam turbine outlet quality on the output power of a combined cycle power plant
    Ganjehkaviri, A.
    Jaafar, M. N. Mohd
    Hosseini, S. E.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 89 : 231 - 243
  • [7] Performance prediction of wet cooling tower using artificial neural network under cross-wind conditions
    Gao, Ming
    Sun, Feng-zhong
    Zhou, Shou-jun
    Shi, Yue-tao
    Zhao, Yuan-bin
    Wang, Nai-hua
    [J]. INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2009, 48 (03) : 583 - 589
  • [8] Energetic and exergetic analysis of a steam turbine power plant in an existing phosphoric acid factory
    Hafdhi, Fathia
    Khir, Tahar
    Ben Yahyia, Ali
    Ben Brahim, Ammar
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 106 : 1230 - 1241
  • [9] Soft computing based multi-objective optimization of steam cycle power plant using NSGA-II and ANN
    Hajabdollahi, Farzaneh
    Hajabdollahi, Zahra
    Hajabdollahi, Hassan
    [J]. APPLIED SOFT COMPUTING, 2012, 12 (11) : 3648 - 3655
  • [10] Modeling and optimization of the condensing steam turbine network of a chemical plant
    Han, IS
    Lee, YH
    Han, CH
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2006, 45 (02) : 670 - 680