Authors : Chawki Lahoud, Marwan Brouche, Jad Dakroub and Joseph Al Asmar
Abstract: CHP (Combined Heating and Power) and CCHP (Combined Cooling, Heating and Power) systems defined by a high energy efficiency and a fewer polluting emissions in comparison to the separated energy generation leads to a high attention during the last decade. In order to combine these systems into a grid, the economic aspect and an environmental aspect must be studied. In this study, a multi-objective optimization is developed to study these aspects. This optimization is based on the economic and the environmental challenges of a trigeneration system that produces cooling, heating and electricity simultaneously. Due to the complexity of the system a Genetic algorithm is used to find the optimal solution. Then, a new decision-making strategy for the optimal power of the CCHP system that must be integrated in any sector based on Mathematical regressions is introduced. Different load levels were studied in order to demonstrate the effectiveness of this proposed optimization.
Chawki Lahoud, Marwan Brouche, Jad Dakroub and Joseph Al Asmar, 2020. Multi-Objective Optimization for CCHP Systems Based on Regressions Considering Economic and Environmental Aspects. Journal of Engineering and Applied Sciences, 15: 3196-3203.