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Developing a multicriteria decision support framework for CHP based combined district heating systems

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  • Wang, Haichao
  • Duanmu, Lin
  • Lahdelma, Risto
  • Li, Xiangli

Abstract

CHP based combined district heating (DH) systems with gas-fired boilers for peak load shaving have higher energy and environmental efficiencies compared to DH systems supplied heat by heat only boilers. However, proper multicriteria decision making method is lacking for them. This paper is dedicated to develop a decision support framework from economy, energy, technology and environment viewpoints, in order to facilitate the planning/retrofitting of the combined DH systems. Firstly, the installation strategy of gas-fired boilers is introduced, and then combined heating alternatives to be addressed are constructed by choosing different base load ratios of CHP. Secondly, a criterion aggregation system is developed, based on which weights can be elicited using complementary judgment matrix (CJM) plus feasible weight space (FWS) methods. Thirdly, an application-oriented, multicriteria decision support framework is demonstrated in a real-life DH system in Daqing, China. Stochastic multicriteria acceptability analysis (SMAA) is implemented to synthetically handle the decision problem, which is characterized by incommensurable measurements, conflicting preferences, uncertainties and imprecise information. The results indicate that the developed framework works well in the multicriteria decision making for the combined district heating systems. The optimal base load ratio in the demonstration case is between 0.66 and 0.77 with high confidence.

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  • Wang, Haichao & Duanmu, Lin & Lahdelma, Risto & Li, Xiangli, 2017. "Developing a multicriteria decision support framework for CHP based combined district heating systems," Applied Energy, Elsevier, vol. 205(C), pages 345-368.
    • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:345-368
    DOI: 10.1016/j.apenergy.2017.07.016
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    as
    1. Li, Hongtao & Burer, Meinrad & Song, Zhi-Ping & Favrat, Daniel & Marechal, Francois, 2004. "Green heating system: characteristics and illustration with multi-criteria optimization of an integrated energy system," Energy, Elsevier, vol. 29(2), pages 225-244.
    2. Dzenajaviciene, E.F. & Kveselis, V. & McNaught, C. & Tamonis, M., 2007. "Economic analysis of the renovation of small-scale district heating systems--4 Lithuanian case studies," Energy Policy, Elsevier, vol. 35(4), pages 2569-2578, April.
    3. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhang, Xu-Tao & Shi, Guo-Hua, 2008. "Integrated evaluation of distributed triple-generation systems using improved grey incidence approach," Energy, Elsevier, vol. 33(9), pages 1427-1437.
    4. Oliver-Solà, Jordi & Gabarrell, Xavier & Rieradevall, Joan, 2009. "Environmental impacts of the infrastructure for district heating in urban neighbourhoods," Energy Policy, Elsevier, vol. 37(11), pages 4711-4719, November.
    5. Browne, David & O'Regan, Bernadette & Moles, Richard, 2010. "Use of multi-criteria decision analysis to explore alternative domestic energy and electricity policy scenarios in an Irish city-region," Energy, Elsevier, vol. 35(2), pages 518-528.
    6. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Shi, Guo-Hua & Zhang, Xu-Tao, 2008. "A fuzzy multi-criteria decision-making model for trigeneration system," Energy Policy, Elsevier, vol. 36(10), pages 3823-3832, October.
    7. Rong, Aiying & Lahdelma, Risto, 2007. "Efficient algorithms for combined heat and power production planning under the deregulated electricity market," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1219-1245, January.
    8. Karlsson, Asa & Gustavsson, Leif, 2003. "External costs and taxes in heat supply systems," Energy Policy, Elsevier, vol. 31(14), pages 1541-1560, November.
    9. Ling-Ni Boon & Marie Brière & Carole Gresse & Bas J. M. Werker, 2013. "Regulatory Environment and Pension Investment Performance," Post-Print hal-01492619, HAL.
    10. Holmgren, Kristina & Amiri, Shahnaz, 2007. "Internalising external costs of electricity and heat production in a municipal energy system," Energy Policy, Elsevier, vol. 35(10), pages 5242-5253, October.
    11. Thorin, Eva & Brand, Heike & Weber, Christoph, 2005. "Long-term optimization of cogeneration systems in a competitive market environment," Applied Energy, Elsevier, vol. 81(2), pages 152-169, June.
    12. Tervonen, Tommi & Hakonen, Henri & Lahdelma, Risto, 2008. "Elevator planning with stochastic multicriteria acceptability analysis," Omega, Elsevier, vol. 36(3), pages 352-362, June.
    13. Wang, Hai-Chao & Jiao, Wen-Ling & Lahdelma, Risto & Zou, Ping-Hua, 2011. "Techno-economic analysis of a coal-fired CHP based combined heating system with gas-fired boilers for peak load compensation," Energy Policy, Elsevier, vol. 39(12), pages 7950-7962.
    14. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    15. Tervonen, Tommi & Lahdelma, Risto, 2007. "Implementing stochastic multicriteria acceptability analysis," European Journal of Operational Research, Elsevier, vol. 178(2), pages 500-513, April.
    16. Ballet, Jérôme & Koffi, Jean-Marcel & Pelenc, Jérôme, 2013. "Environment, justice and the capability approach," Ecological Economics, Elsevier, vol. 85(C), pages 28-34.
    17. Lahdelma, Risto & Hokkanen, Joonas & Salminen, Pekka, 1998. "SMAA - Stochastic multiobjective acceptability analysis," European Journal of Operational Research, Elsevier, vol. 106(1), pages 137-143, April.
    18. Zmeureanu, Radu & Yu Wu, Xin, 2007. "Energy and exergy performance of residential heating systems with separate mechanical ventilation," Energy, Elsevier, vol. 32(3), pages 187-195.
    19. Torchio, Marco F. & Genon, Giuseppe & Poggio, Alberto & Poggio, Marco, 2009. "Merging of energy and environmental analyses for district heating systems," Energy, Elsevier, vol. 34(3), pages 220-227.
    20. Anastaselos, Dimitrios & Theodoridou, Ifigeneia & Papadopoulos, Agis M. & Hegger, Manfred, 2011. "Integrated evaluation of radiative heating systems for residential buildings," Energy, Elsevier, vol. 36(7), pages 4207-4215.
    21. Lahdelma, Risto & Miettinen, Kaisa & Salminen, Pekka, 2003. "Ordinal criteria in stochastic multicriteria acceptability analysis (SMAA)," European Journal of Operational Research, Elsevier, vol. 147(1), pages 117-127, May.
    22. Risto Lahdelma & Pekka Salminen, 2001. "SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making," Operations Research, INFORMS, vol. 49(3), pages 444-454, June.
    23. Xu, Gang & Yang, Yong-ping & Lu, Shi-yuan & Li, Le & Song, Xiaona, 2011. "Comprehensive evaluation of coal-fired power plants based on grey relational analysis and analytic hierarchy process," Energy Policy, Elsevier, vol. 39(5), pages 2343-2351, May.
    24. Badescu, Viorel, 2007. "Economic aspects of using ground thermal energy for passive house heating," Renewable Energy, Elsevier, vol. 32(6), pages 895-903.
    25. Lahdelma, Risto & Hakonen, Henri, 2003. "An efficient linear programming algorithm for combined heat and power production," European Journal of Operational Research, Elsevier, vol. 148(1), pages 141-151, July.
    26. Wei, Bing & Wang, Song-Ling & Li, Li, 2010. "Fuzzy comprehensive evaluation of district heating systems," Energy Policy, Elsevier, vol. 38(10), pages 5947-5955, October.
    27. Spoladore, Alessandro & Borelli, Davide & Devia, Francesco & Mora, Flavio & Schenone, Corrado, 2016. "Model for forecasting residential heat demand based on natural gas consumption and energy performance indicators," Applied Energy, Elsevier, vol. 182(C), pages 488-499.
    28. Ghafghazi, S. & Sowlati, T. & Sokhansanj, S. & Melin, S., 2010. "A multicriteria approach to evaluate district heating system options," Applied Energy, Elsevier, vol. 87(4), pages 1134-1140, April.
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