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Multi-objective optimization of solar powered adsorption chiller combined with river water heat pump system for air conditioning and space heating application
- Li, Rui, Dai, Yanjun, Cui, Guomin
- Energy 2019 v.189 pp. 116141
- adsorption, air conditioning, algorithms, capital, cooling systems, energy costs, environmental assessment, fossil fuels, heat, heat pumps, linear programming, models, primary energy, river water
- Multi-energy system is currently under rapid development due to their potential to reduce the use of fossil fuel resources and improve system stability. A systematic simulation-based, multi-objective optimization model of for solar hybrid heat pump heating and cooling system is presented. A combined energy, economic and environmental analysis of the system is conducted to calculate the primary energy use as well as the levelized total annual cost. A multi-objective optimization model is formulated using a genetic algorithm to simultaneously minimize these objective. Linear programming technique for multidimensional analysis of preference (LINMAP) is used to select the optimal point from the Pareto front. A sensitivity analysis is also performed to assess the influence of fuel cost, capital cost of innovative components and the annual interest rate on the Pareto front of the optimal solution.