The Optimization of Solar Water Heating System Using Hybrid Algorithm (PSO/HJ) for Different Locations of Turkey

Authors : Gökhan ARSLAN, Kaan YAMAN

Pages : 73-82

Doi:10.29137/umagd.346154

View : 26 | Download : 8

Publication Date : 2017-12-26

Article Type : Research Paper

Abstract :In this study, optimum dimensions of Solar Domestic Hot Water System insert ignore into journalissuearticles values(SDHWS); were determined according to initial capital cost and energy consumption cost in different locations of Turkey. Typical Meteorological Year insert ignore into journalissuearticles values(TMY); data of 12 different locations which represent climatic characteristics of Turkey were used. Analysis was performed by using Particle Swarm Optimization / Hooke-Jeeves insert ignore into journalissuearticles values(PSO/HJ); hybrid algorithm which is a part of EnergyPlus®-GenOpt® programs. For each location, optimum number of solar collectors and hot water storage tank volume was determined. Initial investment and energy consumption costs decreased 6.1% for Gaziantep whereas solar fraction increased 42.8% for Ankara. In average, 4.5% decrease in initial investment and energy costs and 35.4% increase in solar fraction were obtained.
Keywords : Solar energy, domestic hot water, optimization