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Combined cooling, heating and power systems: A survey

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  • Liu, Mingxi
  • Shi, Yang
  • Fang, Fang

Abstract

The combined cooling, heating and power (CCHP) system – a typical representative of the decentralized energy system – has been increasingly attracting attention in academia and industries in recent years, thanks to its distinctive advantages of high system and economic efficiency, and less greenhouse gas (GHG) emissions. In this paper, the state of the art of CCHP research is surveyed. First, the development and working scheme of the CCHP system will be presented. Some analyses of the advantages of this system and a brief introduction of the related components are then given in the first part. In the second part of this paper, we elaborately introduce the prime mover and thermally activated facilities. Recent research progress on the management, control, system optimization and sizing will be summarized in the third part. The development of the CCHP system in representative countries and the development barriers will be discussed in the last part.

Suggested Citation

  • Liu, Mingxi & Shi, Yang & Fang, Fang, 2014. "Combined cooling, heating and power systems: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 1-22.
  • Handle: RePEc:eee:rensus:v:35:y:2014:i:c:p:1-22
    DOI: 10.1016/j.rser.2014.03.054
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    as
    1. Arcuri, P. & Florio, G. & Fragiacomo, P., 2007. "A mixed integer programming model for optimal design of trigeneration in a hospital complex," Energy, Elsevier, vol. 32(8), pages 1430-1447.
    2. Riley, J. M. & Probert, S. D., 1998. "Carbon-dioxide emissions from an integrated small-scale and absorption chiller system," Applied Energy, Elsevier, vol. 61(4), pages 193-207, December.
    3. Ram M. Shrestha & Shreekar Pradhan & Migara H. Liyanage, 2008. "Effects of carbon tax on greenhouse gas mitigation in Thailand," Climate Policy, Taylor & Francis Journals, vol. 8(sup1), pages 140-155, December.
    4. 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.
    5. Ana I. Palmero-Marrero & Armando C. Oliveira, 2011. "Performance simulation of a solar-assisted micro-tri-generation system: hotel case study," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 6(4), pages 309-317, July.
    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. Dincer, Ibrahim, 2000. "Renewable energy and sustainable development: a crucial review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 4(2), pages 157-175, June.
    8. Poullikkas, Andreas, 2005. "An overview of current and future sustainable gas turbine technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(5), pages 409-443, October.
    9. Agostini, Paola & Botteon, Michele & Carraro, Carlo, 1992. "A carbon tax to reduce CO2 emissions in Europe," Energy Economics, Elsevier, vol. 14(4), pages 279-290, October.
    10. Srikhirin, Pongsid & Aphornratana, Satha & Chungpaibulpatana, Supachart, 2001. "A review of absorption refrigeration technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 5(4), pages 343-372, December.
    11. Kavvadias, K.C. & Maroulis, Z.B., 2010. "Multi-objective optimization of a trigeneration plant," Energy Policy, Elsevier, vol. 38(2), pages 945-954, February.
    12. Meybodi, Mehdi Aghaei & Behnia, Masud, 2011. "Impact of carbon tax on internal combustion engine size selection in a medium scale CHP system," Applied Energy, Elsevier, vol. 88(12), pages 5153-5163.
    13. Li, S. & Wu, J.Y., 2009. "Theoretical research of a silica gel-water adsorption chiller in a micro combined cooling, heating and power (CCHP) system," Applied Energy, Elsevier, vol. 86(6), pages 958-967, June.
    14. Weisser, Daniel & Garcia, Raquel S., 2005. "Instantaneous wind energy penetration in isolated electricity grids: concepts and review," Renewable Energy, Elsevier, vol. 30(8), pages 1299-1308.
    15. 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.
    16. Bruno, Joan Carles & Ortega-López, Víctor & Coronas, Alberto, 2009. "Integration of absorption cooling systems into micro gas turbine trigeneration systems using biogas: Case study of a sewage treatment plant," Applied Energy, Elsevier, vol. 86(6), pages 837-847, June.
    17. Bilgen, E, 2000. "Exergetic and engineering analyses of gas turbine based cogeneration systems," Energy, Elsevier, vol. 25(12), pages 1215-1229.
    18. Karellas, S. & Karl, J. & Kakaras, E., 2008. "An innovative biomass gasification process and its coupling with microturbine and fuel cell systems," Energy, Elsevier, vol. 33(2), pages 284-291.
    19. Ameri, Mohammad & Behbahaninia, Ali & Tanha, Amir Abbas, 2010. "Thermodynamic analysis of a tri-generation system based on micro-gas turbine with a steam ejector refrigeration system," Energy, Elsevier, vol. 35(5), pages 2203-2209.
    20. Nosrat, Amir & Pearce, Joshua M., 2011. "Dispatch strategy and model for hybrid photovoltaic and trigeneration power systems," Applied Energy, Elsevier, vol. 88(9), pages 3270-3276.
    21. Fumo, Nelson & Chamra, Louay M., 2010. "Analysis of combined cooling, heating, and power systems based on source primary energy consumption," Applied Energy, Elsevier, vol. 87(6), pages 2023-2030, June.
    22. Balaras, Constantinos A. & Grossman, Gershon & Henning, Hans-Martin & Infante Ferreira, Carlos A. & Podesser, Erich & Wang, Lei & Wiemken, Edo, 2007. "Solar air conditioning in Europe--an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(2), pages 299-314, February.
    23. Sue, Deng-Chern & Chuang, Chia-Chin, 2004. "Engineering design and exergy analyses for combustion gas turbine based power generation system," Energy, Elsevier, vol. 29(8), pages 1183-1205.
    24. Hernández-Santoyo, Joel & Sánchez-Cifuentes, Augusto, 2003. "Trigeneration: an alternative for energy savings," Applied Energy, Elsevier, vol. 76(1-3), pages 219-227, September.
    25. Lozano, M.A. & Carvalho, M. & Serra, L.M., 2009. "Operational strategy and marginal costs in simple trigeneration systems," Energy, Elsevier, vol. 34(11), pages 2001-2008.
    26. Weber, Céline & Koyama, Michihisa & Kraines, Steven, 2006. "CO2-emissions reduction potential and costs of a decentralized energy system for providing electricity, cooling and heating in an office-building in Tokyo," Energy, Elsevier, vol. 31(14), pages 3041-3061.
    27. Floros, Nikolaos & Vlachou, Andriana, 2005. "Energy demand and energy-related CO2 emissions in Greek manufacturing: Assessing the impact of a carbon tax," Energy Economics, Elsevier, vol. 27(3), pages 387-413, May.
    28. Sijbren Cnossen, 2002. "Tax Policy in the European Union," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 58(4), pages 466-558, November.
    29. Fumo, Nelson & Mago, Pedro J. & Chamra, Louay M., 2009. "Emission operational strategy for combined cooling, heating, and power systems," Applied Energy, Elsevier, vol. 86(11), pages 2344-2350, November.
    30. 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.
    31. Liu, Mingxi & Shi, Yang & Fang, Fang, 2013. "Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach," Applied Energy, Elsevier, vol. 102(C), pages 794-802.
    32. Ge, Y.T. & Tassou, S.A. & Chaer, I. & Suguartha, N., 2009. "Performance evaluation of a tri-generation system with simulation and experiment," Applied Energy, Elsevier, vol. 86(11), pages 2317-2326, November.
    33. Lozano, Miguel A. & Ramos, Jose C. & Serra, Luis M., 2010. "Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints," Energy, Elsevier, vol. 35(2), pages 794-805.
    34. Maidment, G. G. & Zhao, X. & Riffat, S. B., 2001. "Combined cooling and heating using a gas engine in a supermarket," Applied Energy, Elsevier, vol. 68(4), pages 321-335, April.
    35. Rong, Aiying & Lahdelma, Risto, 2005. "An efficient linear programming model and optimization algorithm for trigeneration," Applied Energy, Elsevier, vol. 82(1), pages 40-63, September.
    36. Martínez-Lera, S. & Ballester, J., 2010. "A novel method for the design of CHCP (combined heat, cooling and power) systems for buildings," Energy, Elsevier, vol. 35(7), pages 2972-2984.
    37. Alanne, Kari & Saari, Arto, 2006. "Distributed energy generation and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(6), pages 539-558, December.
    38. Lior, Noam & Zhang, Na, 2007. "Energy, exergy, and Second Law performance criteria," Energy, Elsevier, vol. 32(4), pages 281-296.
    39. 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.
    40. 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.
    41. 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.
    42. Rubio-Maya, Carlos & Uche-Marcuello, Javier & Martínez-Gracia, Amaya & Bayod-Rújula, Angel A., 2011. "Design optimization of a polygeneration plant fuelled by natural gas and renewable energy sources," Applied Energy, Elsevier, vol. 88(2), pages 449-457, February.
    43. R. Boukhanouf & J. Godefroy & S. B. Riffat & M. Worall, 2008. "Design and optimisation of a small-scale tri-generation system," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 3(1), pages 32-43, January.
    44. Boudghene Stambouli, A. & Traversa, E., 2002. "Fuel cells, an alternative to standard sources of energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(3), pages 295-304, September.
    45. Deng, Jian & Wang, Ruzhu & Wu, Jingyi & Han, Guyong & Wu, Dawei & Li, Sheng, 2008. "Exergy cost analysis of a micro-trigeneration system based on the structural theory of thermoeconomics," Energy, Elsevier, vol. 33(9), pages 1417-1426.
    46. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Optimization design of BCHP system to maximize to save energy and reduce environmental impact," Energy, Elsevier, vol. 35(8), pages 3388-3398.
    47. 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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