Feasibility Analysis of the Operation Strategies for Combined Cooling, Heating and Power Systems (CCHP) based on the Ene
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https://doi.org/10.1007/s11630-020-1314-2
Article ID: 1003-2169(2020)00-0000-00
Feasibility Analysis of the Operation Strategies for Combined Cooling, Heating and Power Systems (CCHP) based on the Energy-Matching Regime FENG Lejun, DAI Xiaoye, MO Junrong, SHI Lin* Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China © Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract: Although numerous studies have considered the two traditional operation strategies: following the electric load (FEL) and following the thermal load (FTL), for combined cooling, heating, and power (CCHP) systems in different case studies, there are limited theoretical studies on the quantification methods to assess the feasibility of these two strategies in different load demands scenarios. Therefore, instead of a case study, we have undertaken a theoretical analysis of the suitable application scenarios for FEL and FTL strategies based on the energy-matching performance between systems’ provision and users’ demands. To compare the calculation models of energy saving rate (ESR) for FEL and FTL strategies in the left and right sub-regions of the energy-supply curve, a comprehensive parameter () that combines three inherently influential factors (off-design operation parameter, energy-matching parameter, and install capacity coefficient) is defined to determine the optimal installed capacity and feasibility of FEL or FTL strategies quantitatively. The results indicate that greater value of will contribute to a better energy saving performance, and FEL strategy shows better performance than FTL in most load demands scenarios, and the optimal installed capacity occurs when the load demand points were located in different regions of the energy-supply curve. Finally, taking a hotel in Beijing as an example, the value of the optimal install capacity coefficient is 0.845 and the FEL strategy is also suggested, and compared to the maximum install capacity, the average values of the ESR on a typical summer day, transition season, and winter can be enhanced by 3.9%, 8.8%, and 1.89%, respectively.
Keywords: combined cooling, heating and power systems (CCHP), energy-matching performance, operation strategies, comprehensive parameter, energy saving performance
1. Introduction Combined cooling, heating, and power systems (CCHP) are used to simultaneously generate cooling, heating, and electricity, which is also referred to as trigeneration [1, 2]. Given that the exhaust heat is further utilised, the fuel consumption of CCHP systems can be reduced by 10%–20% during the generation of Received: Aug 09, 2019
equivalent loads compared to the separated systems [3]. Hence, CCHP systems have great potential with respect to energy saving, economy, and the environment [4, 5]. Nevertheless, due to numerous unsuccessful designs [6, 7], it is still debatable whether CCHP system
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