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A novel multi-indicator VSBM-boiler model: Assessing the economic-thermodynamic performance of utility boilers

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  • Jiacheng, Tang
  • Hui, Wang
  • Guang, Zeng
  • Xiangyu, Wang
  • Ning, Wang

Abstract

With the increasing integration of renewable energy, coal-fired utility boilers in China are expected to operate frequently at low loads. However, this study revealed that low load could reduce boiler efficiency. The Time-of-use (TOU) price serves as an economic incentive to address this issue. However, operation during valley periods also leads to poor economic returns. In this study, a novel multi-indicator network SBM model is proposed, which allocates weights based on the preference for indicators rather than divisions. By applying the hybrid economic-thermodynamic objective function to 1391 operating conditions, the relative efficiency trends across loads and periods for a supercritical boiler were identified. The application shows that the proposed model has better discrimination in the context of the TOU price, and that operating at a load below 32.46 % could cause a 26.08 % decrease in the thermodynamic efficiency, and operating in Valley periods could lead to a 35.45 % decrease in the economic efficiency. In addition, the average overall efficiency of low-load Valley operating conditions is only 59.71 % of that of all operating conditions. This study is the first to quantify the thermal efficiency of the production frontier.

Suggested Citation

  • Jiacheng, Tang & Hui, Wang & Guang, Zeng & Xiangyu, Wang & Ning, Wang, 2025. "A novel multi-indicator VSBM-boiler model: Assessing the economic-thermodynamic performance of utility boilers," Energy, Elsevier, vol. 340(C).
    • Handle: RePEc:eee:energy:v:340:y:2025:i:c:s0360544225049655
    DOI: 10.1016/j.energy.2025.139323
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    1. Zhou, Yan & Xing, Xinpeng & Fang, Kuangnan & Liang, Dapeng & Xu, Chunlin, 2013. "Environmental efficiency analysis of power industry in China based on an entropy SBM model," Energy Policy, Elsevier, vol. 57(C), pages 68-75.
    2. van Staden, Chantelle Y. & Vermeulen, Hendrik J. & Groch, Matthew, 2021. "Time-of-Use feature based clustering of spatiotemporal wind power profiles," Energy, Elsevier, vol. 236(C).
    3. Wang, Qingxiang & Chen, Zhichao & Li, Liankai & Zeng, Lingyan & Li, Zhengqi, 2020. "Achievement in ultra-low-load combustion stability for an anthracite- and down-fired boiler after applying novel swirl burners: From laboratory experiments to industrial applications," Energy, Elsevier, vol. 192(C).
    4. Chen, Yao & Cook, Wade D. & Zhu, Joe, 2010. "Deriving the DEA frontier for two-stage processes," European Journal of Operational Research, Elsevier, vol. 202(1), pages 138-142, April.
    5. Khan, Ahsan Raza & Mahmood, Anzar & Safdar, Awais & Khan, Zafar A. & Khan, Naveed Ahmed, 2016. "Load forecasting, dynamic pricing and DSM in smart grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1311-1322.
    6. Wang, Congyu & Chen, Fangfang & Xu, Pengjiang & Cao, Hongmei & Wang, Wei & Sun, Qie, 2025. "Dynamic simulation of a subcritical coal-fired power plant with the emphasis on flexibility," Applied Energy, Elsevier, vol. 392(C).
    7. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    8. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    9. Xin Guo & Liangwei Xia & Guangbo Zhao & Guohua Wei & Yongjie Wang & Yaning Yin & Jianming Guo & Xiaohan Ren, 2022. "Steam Temperature Characteristics in Boiler Water Wall Tubes Based on Furnace CFD and Hydrodynamic Coupling Model," Energies, MDPI, vol. 15(13), pages 1-28, June.
    10. Chiang Kao, 2014. "Efficiency Decomposition in Network Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 55-77, Springer.
    11. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    12. Verma, V.K. & Bram, S. & Delattin, F. & De Ruyck, J., 2013. "Real life performance of domestic pellet boiler technologies as a function of operational loads: A case study of Belgium," Applied Energy, Elsevier, vol. 101(C), pages 357-362.
    13. Zhao, Xiancong & Bai, Hao & Shi, Qi & Lu, Xin & Zhang, Zhihui, 2017. "Optimal scheduling of a byproduct gas system in a steel plant considering time-of-use electricity pricing," Applied Energy, Elsevier, vol. 195(C), pages 100-113.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    15. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    16. Barros, Carlos Pestana & Wanke, Peter, 2017. "Efficiency in Angolan thermal power plants: Evidence from cost structure and pollutant emissions," Energy, Elsevier, vol. 130(C), pages 129-143.
    17. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    18. Szinai, Julia K. & Sheppard, Colin J.R. & Abhyankar, Nikit & Gopal, Anand R., 2020. "Reduced grid operating costs and renewable energy curtailment with electric vehicle charge management," Energy Policy, Elsevier, vol. 136(C).
    19. Dey, Bishwajit & Misra, Srikant & Garcia Marquez, Fausto Pedro, 2023. "Microgrid system energy management with demand response program for clean and economical operation," Applied Energy, Elsevier, vol. 334(C).
    20. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    21. Chen, Ya & Li, Yongjun & Liang, Liang & Salo, Ahti & Wu, Huaqing, 2016. "Frontier projection and efficiency decomposition in two-stage processes with slacks-based measures," European Journal of Operational Research, Elsevier, vol. 250(2), pages 543-554.
    22. Zhang, Xinghui & Yang, Jiaojiao & Zhao, Xudong, 2018. "Optimal study of the rural house space heating systems employing the AHP and FCE methods," Energy, Elsevier, vol. 150(C), pages 631-641.
    23. Wang, Congyu & Song, Jiwei, 2023. "Performance assessment of the novel coal-fired combined heat and power plant integrating with flexibility renovations," Energy, Elsevier, vol. 263(PC).
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