Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2017, Cilt: 9 Sayı: 3, 73 - 82, 26.12.2017
https://doi.org/10.29137/umagd.346154

Öz

Kaynakça

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

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

Yıl 2017, Cilt: 9 Sayı: 3, 73 - 82, 26.12.2017
https://doi.org/10.29137/umagd.346154

Öz

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.

Kaynakça

  • This paper was selected in BILMES CONGRESS 2017 (I.International Scientific and Vocational Studies Congress)
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Bölüm Makaleler
Yazarlar

Gökhan Arslan

Kaan Yaman 0000-0002-8627-4082

Yayımlanma Tarihi 26 Aralık 2017
Gönderilme Tarihi 8 Ekim 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 9 Sayı: 3

Kaynak Göster

APA Arslan, G., & Yaman, K. (2017). The Optimization of Solar Water Heating System Using Hybrid Algorithm (PSO/HJ) for Different Locations of Turkey. International Journal of Engineering Research and Development, 9(3), 73-82. https://doi.org/10.29137/umagd.346154
Tüm hakları saklıdır. Kırıkkale Üniversitesi, Mühendislik Fakültesi.