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

Year 2017, Volume: 9 Issue: 3, 73 - 82, 26.12.2017

Gökhan Arslan , Kaan Yaman

https://doi.org/10.29137/umagd.346154

Cited By: 2

Abstract

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.

Keywords

Solar energy, domestic hot water, optimization

References

• This paper was selected in BILMES CONGRESS 2017 (I.International Scientific and Vocational Studies Congress)