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

Dajun Wei, Alian Chen, Bo Sun and Chenghui Zhang

Energy, 2016, vol. 98, issue C, 296-307

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.

Keywords: Combined cooling heating and power system; Multi-objective optimization; NSGA-II (Non-dominated sorting genetic algorithm-II); Operation strategy; Co-simulation (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (41)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:98:y:2016:i:c:p:296-307

DOI: 10.1016/j.energy.2016.01.027

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