221
Views
10
CrossRef citations to date
0
Altmetric
Articles

Techno-economic feasibility of a standalone hybrid energy system for semi equatorial climates: a case study

, &
Pages 1131-1143 | Received 07 Jul 2018, Accepted 06 Aug 2019, Published online: 05 Sep 2019
 

ABSTRACT

Growing population, increasing energy demand and environmental issues such as global warming and air pollution have prompted energy officials to shift toward renewable resources particularly wind and solar. In this study, the feasibility of a hybrid energy system for electrification of a residential building located in Kish Island, Iran is assessed. The building has 10 stories, a lobby and a parking garage. Initially, the building loads that include electrical, heating, cooling, and lighting are calculated by EnergyPlus software. Then, HOMER software is employed to optimize the system configuration. The average building load and the peak power are found to be 2.2 MWh/day and 206 kW, respectively. Three optimal systems that include wind-generator, PV-generator and PV-wind-generator were proposed. The wind-gas generator system was found to have the most economic configuration while the PV-wind-generator system has more reliable performance. While the wind-generator-battery system with NPC and COE of 2,967,316 $ and 0.187$/kWh is the most cost-efficient system, the PV-wind-generator-battery system that consists of a 200 kW PV array, three wind turbines, 86 batteries, a 150 kW gas generator, and a 90 kW converter can significantly reduce the pollutants.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 405.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.