×

Multi-objective operation optimization of combined cooling, heating, and power system. (English) Zbl 1438.90317

Summary: Combined cooling, heating, and power (CCHP) systems can improve energy efficiency and reduce carbon emissions and have become one of the important ways to address the energy and environmental crisis. In this paper, a multi-objective operation optimization method for a CCHP system is presented. The optimization objective is to maximize the operation cost-saving ratio (OCSR), energy-saving ratio (ESR), and carbon dioxide emission reduction ratio (CERR) of the CCHP system compared to a separate production system. A genetic algorithm (GA) is used to solve the optimal operation problem of the CCHP system. An operation optimizer composed of MATLAB and LABVIEW is designed based on the optimal operation strategy. A CCHP hardware and software hybrid real-time simulation system based on TRNSYS and LABVIEW is designed to verify the effectiveness of the operation optimizer. The results indicate that the multi-objective optimization yields improved economic and environmental benefits, as well as high energy efficiency, compared to the traditional mode.

MSC:

90C29 Multi-objective and goal programming
90C59 Approximation methods and heuristics in mathematical programming
93C10 Nonlinear systems in control theory
PDFBibTeX XMLCite
Full Text: DOI