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Design and Assessment of CCHP Systems

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Abstract

Combined cooling, heating, and power (CCHP) is derived from combined heat and power (CHP), also called cogeneration. It is a basic form classified by the system functions in total energy system. There are many types of CCHP systems. A typical CCHP system is comprised of a prime mover, a generator, and a thermally activated chiller. The prime mover is driven by primary energy, such as natural gas and oil, and the mechanical energy is further changed into electricity power by the generator. At the same time, the thermally activated chiller, such as absorption chiller and adsorption chiller, utilizes exhaust heat derived from the prime mover to generate cooling or heating power. At present, as the prime mover, gas turbine, and internal combustion engine are most widely used in the CCHP system. The technology is quite mature. Economic parameter based on thermal electricity performance (EPTC) can be used as the thermal economic evaluation index of the 2 units. The reasonable evaluation criteria are crucial for the evaluation of the performance characteristics of energy power system’s comprehensive and objective evaluation. It serves as the benchmark of the system simulation analysis and design optimization. At present, most of the evaluation is on the single target performance evaluation, such as thermodynamic performance evaluation, economic performance evaluation, and environmental performance evaluation. Two examples of thermal economic analysis of the CCHP system are introduced.

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Correspondence to Xiangqiang Kong .

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Kong, X., Li, Y. (2017). Design and Assessment of CCHP Systems. In: Wang, R., Zhai, X. (eds) Handbook of Energy Systems in Green Buildings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49088-4_39-1

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  • DOI: https://doi.org/10.1007/978-3-662-49088-4_39-1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49088-4

  • Online ISBN: 978-3-662-49088-4

  • eBook Packages: Springer Reference EnergyReference Module Computer Science and Engineering

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