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

Gökhan Arslan | Zendy; Kaan Yaman | Zendy

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

Author(s) -

Gökhan Arslan,

Kaan Yaman

Publication year - 2017

Publication title -

uluslararası mühendislik araştırma ve geliştirme dergisi

Language(s) - English

Resource type - Journals

eISSN - 1308-5514

pISSN - 1308-5506

DOI - 10.29137/umagd.346154

Subject(s) - particle swarm optimization , volume fraction , environmental science , solar energy , energy consumption , capital investment , investment (military) , meteorology , algorithm , computer science , engineering , geography , physics , electrical engineering , thermodynamics , business , finance , politics , law , political science

In this study, optimum dimensions of Solar Domestic Hot Water System (SDHWS) were determined according to initial capital cost and energy consumption cost in different locations of Turkey. Typical Meteorological Year (TMY) data of 12 different locations which represent climatic characteristics of Turkey were used. Analysis was performed by using Particle Swarm Optimization / Hooke-Jeeves (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.

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