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Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system

Author

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  • Wei, Dajun
  • Chen, Alian
  • Sun, Bo
  • Zhang, Chenghui

Abstract

The internal coupling relationships are essential issues that impeding the efficient operation of a complicated CCHP (combined cooling, heating and power) system. In this paper, a multi-objective optimization model is proposed, aiming to maximize the energy-saving ratio and minimize the energy costs of a micro-CCHP system consisting of an absorption and electric chiller. Based on a novel co-simulation optimization platform, the NSGA-II (Non-dominated Sorting Genetic Algorithm-II) is employed to identify a series of compromised optimal operation strategies with different operational parameters. Moreover, the characteristics analysis is further made to reveal the energy coupling between these conflicting objectives in the operation of CCHP system. The implementation of this method will be beneficial to understand the internal energy variation and improve the system performance, thus providing a guiding principle for CCHP system optimization.

Suggested Citation

  • Wei, Dajun & Chen, Alian & Sun, Bo & Zhang, Chenghui, 2016. "Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system," Energy, Elsevier, vol. 98(C), pages 296-307.
    • Handle: RePEc:eee:energy:v:98:y:2016:i:c:p:296-307
    DOI: 10.1016/j.energy.2016.01.027
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    1. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    2. Kavvadias, K.C. & Maroulis, Z.B., 2010. "Multi-objective optimization of a trigeneration plant," Energy Policy, Elsevier, vol. 38(2), pages 945-954, February.
    3. Wu, J.Y. & Wang, J.L. & Li, S. & Wang, R.Z., 2014. "Experimental and simulative investigation of a micro-CCHP (micro combined cooling, heating and power) system with thermal management controller," Energy, Elsevier, vol. 68(C), pages 444-453.
    4. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    5. Tichi, S.G. & Ardehali, M.M. & Nazari, M.E., 2010. "Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm," Energy Policy, Elsevier, vol. 38(10), pages 6240-6250, October.
    6. Facci, Andrea Luigi & Andreassi, Luca & Ubertini, Stefano, 2014. "Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming," Energy, Elsevier, vol. 66(C), pages 387-400.
    7. Wu, Jing-yi & Wang, Jia-long & Li, Sheng, 2012. "Multi-objective optimal operation strategy study of micro-CCHP system," Energy, Elsevier, vol. 48(1), pages 472-483.
    8. Maraver, Daniel & Sin, Ana & Royo, Javier & Sebastián, Fernando, 2013. "Assessment of CCHP systems based on biomass combustion for small-scale applications through a review of the technology and analysis of energy efficiency parameters," Applied Energy, Elsevier, vol. 102(C), pages 1303-1313.
    9. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    10. 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.
    11. Wang, Jiangfeng & Zhao, Pan & Niu, Xiaoqiang & Dai, Yiping, 2012. "Parametric analysis of a new combined cooling, heating and power system with transcritical CO2 driven by solar energy," Applied Energy, Elsevier, vol. 94(C), pages 58-64.
    12. Chicco, Gianfranco & Mancarella, Pierluigi, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part I: Models and indicators," Energy, Elsevier, vol. 33(3), pages 410-417.
    13. Hao, Xiaoli & Yang, Hongxing & Zhang, Guoqiang, 2008. "Trigeneration: A new way for landfill gas utilization and its feasibility in Hong Kong," Energy Policy, Elsevier, vol. 36(10), pages 3662-3673, October.
    14. Hu, Mengqi & Cho, Heejin, 2014. "A probability constrained multi-objective optimization model for CCHP system operation decision support," Applied Energy, Elsevier, vol. 116(C), pages 230-242.
    15. Maraver, Daniel & Sin, Ana & Sebastián, Fernando & Royo, Javier, 2013. "Environmental assessment of CCHP (combined cooling heating and power) systems based on biomass combustion in comparison to conventional generation," Energy, Elsevier, vol. 57(C), pages 17-23.
    16. Li, Sheng & Sui, Jun & Jin, Hongguang & Zheng, Jianjiao, 2013. "Full chain energy performance for a combined cooling, heating and power system running with methanol and solar energy," Applied Energy, Elsevier, vol. 112(C), pages 673-681.
    17. Chicco, Gianfranco & Mancarella, Pierluigi, 2009. "Matrix modelling of small-scale trigeneration systems and application to operational optimization," Energy, Elsevier, vol. 34(3), pages 261-273.
    18. Cho, Heejin & Mago, Pedro J. & Luck, Rogelio & Chamra, Louay M., 2009. "Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme," Applied Energy, Elsevier, vol. 86(12), pages 2540-2549, December.
    19. Burer, M. & Tanaka, K. & Favrat, D. & Yamada, K., 2003. "Multi-criteria optimization of a district cogeneration plant integrating a solid oxide fuel cell–gas turbine combined cycle, heat pumps and chillers," Energy, Elsevier, vol. 28(6), pages 497-518.
    20. Liu, Mingxi & Shi, Yang & Fang, Fang, 2012. "A new operation strategy for CCHP systems with hybrid chillers," Applied Energy, Elsevier, vol. 95(C), pages 164-173.
    21. Mancarella, Pierluigi & Chicco, Gianfranco, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part II: Analysis techniques and application cases," Energy, Elsevier, vol. 33(3), pages 418-430.
    22. Xu, Jianzhong & Sui, Jun & Li, Bingyu & Yang, Minlin, 2010. "Research, development and the prospect of combined cooling, heating, and power systems," Energy, Elsevier, vol. 35(11), pages 4361-4367.
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