IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v36y2011i5p3501-3512.html
   My bibliography  Save this article

Modeling and optimization of a utility system containing multiple extractions steam turbines

Author

Listed:
  • Luo, Xianglong
  • Zhang, Bingjian
  • Chen, Ying
  • Mo, Songping

Abstract

Complex turbines with multiple controlled and/or uncontrolled extractions are popularly used in the processing industry and cogeneration plants to provide steam of different levels, electric power, and driving power. To characterize thermodynamic behavior under varying conditions, nonlinear mathematical models are developed based on energy balance, thermodynamic principles, and semi-empirical equations. First, the complex turbine is decomposed into several simple turbines from the controlled extraction stages and modeled in series. THM (The turbine hardware model) developing concept is applied to predict the isentropic efficiency of the decomposed simple turbines. Stodola’s formulation is also used to simulate the uncontrolled extraction steam parameters. The thermodynamic properties of steam and water are regressed through linearization or piece-wise linearization. Second, comparison between the simulated results using the proposed model and the data in the working condition diagram provided by the manufacturer is conducted over a wide range of operations. The simulation results yield small deviation from the data in the working condition diagram where the maximum modeling error is 0.87% among the compared seven operation conditions. Last, the optimization model of a utility system containing multiple extraction turbines is established and a detailed case is analyzed. Compared with the conventional operation strategy, a maximum of 5.47% of the total operation cost is saved using the proposed optimization model.

Suggested Citation

  • Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2011. "Modeling and optimization of a utility system containing multiple extractions steam turbines," Energy, Elsevier, vol. 36(5), pages 3501-3512.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:5:p:3501-3512
    DOI: 10.1016/j.energy.2011.03.056
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544211002246
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2011.03.056?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sanjay,, 2011. "Investigation of effect of variation of cycle parameters on thermodynamic performance of gas-steam combined cycle," Energy, Elsevier, vol. 36(1), pages 157-167.
    2. Corrado, A. & Fiorini, P. & Sciubba, E., 2006. "Environmental assessment and extended exergy analysis of a “zero CO2 emission”, high-efficiency steam power plant," Energy, Elsevier, vol. 31(15), pages 3186-3198.
    3. Fast, M. & Palmé, T., 2010. "Application of artificial neural networks to the condition monitoring and diagnosis of a combined heat and power plant," Energy, Elsevier, vol. 35(2), pages 1114-1120.
    4. Fonseca, João G.S. & Schneider, Paulo S., 2006. "Simulation of a thermal power plant with district heating: Comparative results of 5 different codes," Energy, Elsevier, vol. 31(12), pages 1955-1968.
    5. Montero, Gisela & Pulido, Ricardo & Pineda, Carlos & Rivero, Ricardo, 2006. "Ecotaxes and their impact in the cost of steam and electric energy generated by a steam turbine system," Energy, Elsevier, vol. 31(15), pages 3391-3400.
    6. Kwak, H.-Y. & Kim, D.-J. & Jeon, J.-S., 2003. "Exergetic and thermoeconomic analyses of power plants," Energy, Elsevier, vol. 28(4), pages 343-360.
    7. Salahshoor, Karim & Kordestani, Mojtaba & Khoshro, Majid S., 2010. "Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers," Energy, Elsevier, vol. 35(12), pages 5472-5482.
    8. Pak, Pyong Sik & Lee, Young Duk & Ahn, Kook Young, 2010. "Characteristics and economic evaluation of a power plant applying oxy-fuel combustion to increase power output and decrease CO2 emission," Energy, Elsevier, vol. 35(8), pages 3230-3238.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2012. "Heat integration of regenerative Rankine cycle and process surplus heat through graphical targeting and mathematical modeling technique," Energy, Elsevier, vol. 45(1), pages 556-569.
    2. Zhu, Qiannan & Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2016. "Mathematical modeling, validation, and operation optimization of an industrial complex steam turbine network-methodology and application," Energy, Elsevier, vol. 97(C), pages 191-213.
    3. Liew, Peng Yen & Theo, Wai Lip & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2017. "Total Site Heat Integration planning and design for industrial, urban and renewable systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 964-985.
    4. Luo, Xianglong & Huang, Xiaojian & El-Halwagi, Mahmoud M. & Ponce-Ortega, José María & Chen, Ying, 2016. "Simultaneous synthesis of utility system and heat exchanger network incorporating steam condensate and boiler feedwater," Energy, Elsevier, vol. 113(C), pages 875-893.
    5. Zhang, B.J. & Liu, K. & Luo, X.L. & Chen, Q.L. & Li, W.K., 2015. "A multi-period mathematical model for simultaneous optimization of materials and energy on the refining site scale," Applied Energy, Elsevier, vol. 143(C), pages 238-250.
    6. Huang, Xiaojian & Luo, Xianglong & Chen, Jianyong & Yang, Zhi & Chen, Ying & María Ponce-Ortega, José & El-Halwagi, Mahmoud M., 2018. "Synthesis and dual-objective optimization of industrial combined heat and power plants compromising the water–energy nexus," Applied Energy, Elsevier, vol. 224(C), pages 448-468.
    7. Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2012. "Operational planning optimization of multiple interconnected steam power plants considering environmental costs," Energy, Elsevier, vol. 37(1), pages 549-561.
    8. Yu Huang & Weizhen Hou & Yiran Huang & Jiayu Li & Qixian Li & Dongfeng Wang & Yan Zhang, 2020. "Multi-Objective Optimal Operation for Steam Power Scheduling Based on Economic and Exergetic Analysis," Energies, MDPI, vol. 13(8), pages 1-18, April.
    9. Dong-Jin Cho & Eul-Bum Lee & Jae-Min Cho & Douglas Alleman, 2019. "Reducing the Superheating of Extraction Stream on Advanced-Ultra Super Critical Power Plants with Regenerative Turbines in South Korea: An Economic Analysis," Energies, MDPI, vol. 12(9), pages 1-22, May.
    10. Shen, Feifei & Zhao, Liang & Wang, Meihong & Du, Wenli & Qian, Feng, 2022. "Data-driven adaptive robust optimization for energy systems in ethylene plant under demand uncertainty," Applied Energy, Elsevier, vol. 307(C).
    11. Luo, Xianglong & Hu, Jiahao & Zhao, Jun & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2014. "Multi-objective optimization for the design and synthesis of utility systems with emission abatement technology concerns," Applied Energy, Elsevier, vol. 136(C), pages 1110-1131.
    12. Voll, Philip & Jennings, Mark & Hennen, Maike & Shah, Nilay & Bardow, André, 2015. "The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis," Energy, Elsevier, vol. 82(C), pages 446-456.
    13. Kostelac, Matija & Pavić, Ivan & Zhang, Ning & Capuder, Tomislav, 2022. "Uncertainty modelling of an industry facility as a multi-energy demand response provider," Applied Energy, Elsevier, vol. 307(C).
    14. Mardan, Nawzad & Klahr, Roger, 2012. "Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry," Energy, Elsevier, vol. 44(1), pages 410-419.
    15. Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2013. "Operational planning optimization of steam power plants considering equipment failure in petrochemical complex," Applied Energy, Elsevier, vol. 112(C), pages 1247-1264.
    16. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    17. Wang, Ligang & Voll, Philip & Lampe, Matthias & Yang, Yongping & Bardow, André, 2015. "Superstructure-free synthesis and optimization of thermal power plants," Energy, Elsevier, vol. 91(C), pages 700-711.
    18. Zhao, Tian & Chen, Xi & He, Ke-Lun & Chen, Qun, 2021. "A standardized modeling strategy for heat current method-based analysis and simulation of thermal systems," Energy, Elsevier, vol. 217(C).
    19. Han, Yulin & Zheng, Jingyuan & Luo, Xiaoyan & Qian, Yu & Yang, Siyu, 2023. "Multi-scenario data-driven robust optimisation for industrial steam power systems under uncertainty," Energy, Elsevier, vol. 263(PD).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Comparative exergoeconomics of power utilities: Air-cooled gas turbine cycle and combined cycle configurations," Energy, Elsevier, vol. 139(C), pages 42-51.
    2. Guo, Sisi & Liu, Pei & Li, Zheng, 2018. "Enhancement of performance monitoring of a coal-fired power plant via dynamic data reconciliation," Energy, Elsevier, vol. 151(C), pages 203-210.
    3. Hinkelman, Kathryn & Anbarasu, Saranya & Wetter, Michael & Gautier, Antoine & Zuo, Wangda, 2022. "A fast and accurate modeling approach for water and steam thermodynamics with practical applications in district heating system simulation," Energy, Elsevier, vol. 254(PA).
    4. Picallo-Perez, Ana & Catrini, Pietro & Piacentino, Antonio & Sala, José-Mª, 2019. "A novel thermoeconomic analysis under dynamic operating conditions for space heating and cooling systems," Energy, Elsevier, vol. 180(C), pages 819-837.
    5. Rossi, Francesco & Velázquez, David, 2015. "A methodology for energy savings verification in industry with application for a CHP (combined heat and power) plant," Energy, Elsevier, vol. 89(C), pages 528-544.
    6. Huang, Chung-Neng & Chen, Yui-Sung, 2017. "Design of magnetic flywheel control for performance improvement of fuel cells used in vehicles," Energy, Elsevier, vol. 118(C), pages 840-852.
    7. Mingliang Bai & Jinfu Liu & Yujia Ma & Xinyu Zhao & Zhenhua Long & Daren Yu, 2020. "Long Short-Term Memory Network-Based Normal Pattern Group for Fault Detection of Three-Shaft Marine Gas Turbine," Energies, MDPI, vol. 14(1), pages 1-22, December.
    8. Gao, Jintong & Zhang, Qi & Wang, Xiaozhuang & Song, Dayong & Liu, Weiqi & Liu, Wenchao, 2018. "Exergy and exergoeconomic analyses with modeling for CO2 allocation of coal-fired CHP plants," Energy, Elsevier, vol. 152(C), pages 562-575.
    9. Feng Lu & Jipeng Jiang & Jinquan Huang & Xiaojie Qiu, 2018. "An Iterative Reduced KPCA Hidden Markov Model for Gas Turbine Performance Fault Diagnosis," Energies, MDPI, vol. 11(7), pages 1-21, July.
    10. Mohapatra, Alok Ku & Sanjay,, 2014. "Thermodynamic assessment of impact of inlet air cooling techniques on gas turbine and combined cycle performance," Energy, Elsevier, vol. 68(C), pages 191-203.
    11. Naserabad, S. Nikbakht & Mehrpanahi, A. & Ahmadi, G., 2018. "Multi-objective optimization of HRSG configurations on the steam power plant repowering specifications," Energy, Elsevier, vol. 159(C), pages 277-293.
    12. Khoa, T.D. & Shuhaimi, M. & Hashim, H. & Panjeshahi, M.H., 2010. "Optimal design of distillation column using three dimensional exergy analysis curves," Energy, Elsevier, vol. 35(12), pages 5309-5319.
    13. Zhu, L. & Li, M.S. & Wu, Q.H. & Jiang, L., 2015. "Short-term natural gas demand prediction based on support vector regression with false neighbours filtered," Energy, Elsevier, vol. 80(C), pages 428-436.
    14. Wu, Zhi-Jun & Yu, Xiao & Fu, Le-Zhong & Deng, Jun & Hu, Zong-Jie & Li, Li-Guang, 2014. "A high efficiency oxyfuel internal combustion engine cycle with water direct injection for waste heat recovery," Energy, Elsevier, vol. 70(C), pages 110-120.
    15. Boyano, A. & Blanco-Marigorta, A.M. & Morosuk, T. & Tsatsaronis, G., 2011. "Exergoenvironmental analysis of a steam methane reforming process for hydrogen production," Energy, Elsevier, vol. 36(4), pages 2202-2214.
    16. Boza, Pal & Evgeniou, Theodoros, 2021. "Artificial intelligence to support the integration of variable renewable energy sources to the power system," Applied Energy, Elsevier, vol. 290(C).
    17. Sanjay, & Prasad, Bishwa N., 2013. "Energy and exergy analysis of intercooled combustion-turbine based combined cycle power plant," Energy, Elsevier, vol. 59(C), pages 277-284.
    18. Abusoglu, Aysegul & Kanoglu, Mehmet, 2009. "Exergoeconomic analysis and optimization of combined heat and power production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2295-2308, December.
    19. Seyyedi, Seyyed Masoud & Ajam, Hossein & Farahat, Said, 2010. "A new criterion for the allocation of residues cost in exergoeconomic analysis of energy systems," Energy, Elsevier, vol. 35(8), pages 3474-3482.
    20. Diaz-Mendez, S.E. & Sierra-Grajeda, J.M.T. & Hernandez-Guerrero, A. & Rodriguez-Lelis, J.M., 2013. "Entropy generation as an environmental impact indicator and a sample application to freshwater ecosystems eutrophication," Energy, Elsevier, vol. 61(C), pages 234-239.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:36:y:2011:i:5:p:3501-3512. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.