作者: K.C. Kavvadias , Z.B. Maroulis
DOI: 10.1016/J.ENPOL.2009.10.046
关键词: Tariff 、 Engineering 、 Genetic algorithm 、 Multi-objective optimization 、 Pareto principle 、 Mathematical optimization 、 Simulation 、 Performance indicator 、 Evolutionary algorithm 、 Cogeneration 、 Energy (signal processing)
摘要: A multi-objective optimization method was developed for the design of trigeneration plants. The is carried out on technical, economical, energetic and environmental performance indicators in a framework. Both construction (equipment sizes) discrete operational (pricing tariff schemes strategy) variables were optimized based realistic conditions. problem solved using evolutionary algorithm. An example system 300 bed hospital studied detail order to demonstrate procedure, economic plant, as well effectiveness proposed approach even under fluctuating energy prices.