JOURNAL ARTICLE
Use of Vertical-Axis Wind Turbines to Decrease Clean Energy Cost for Residential Buildings in Hawai'i.
Published In: International Journal of Architectonic, Spatial, & Environmental Design, 2025, v. 19, n. 1. P. 115 1 of 3
Database: Art Source Ultimate 2 of 3
Authored By: Hemeida, Fahd A. 3 of 3
Abstract
Nowadays, renewable energy sources have become essential for all countries. However, each state's ability to use those sources depends on specific determinants, such as meteorological geographical variables. In addition, the low cost of energy produced is one of the criteria in choosing the most appropriate method for the renewable energy source. Since the most famous of these sources are solar and wind energy, most countries try to use both on a large and small scale. While the state of Hawai'i is exposed to an excellent mean wind speed throughout the year, this aerial potential must be widely utilized using small wind power sources over buildings. Therefore, this article will explore the use of vertical-axis wind turbines on the roof tops of buildings to generate clean energy. The calculations output was compared with that of solar sources regarding energy production and cost. The results show that wind turbines, on a small scale, are 20 percent more effective than solar panels in energy generated annually. This finding suggests that wind turbines, on a small scale, in Hawaiian Islands increase the production of clean energy for residential buildings and help architects add other environmental treatments on roof tops instead of solar panels. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Architectonic, Spatial, & Environmental Design. 2025/06, Vol. 19, Issue 1, p115
- Document Type:Article
- Subject Area:Power and Energy
- Publication Date:2025
- ISSN:2325-1662
- DOI:10.18848/2325-1662/CGP/v19i01/115-141
- Accession Number:186177787
- Copyright Statement:Copyright of International Journal of Architectonic, Spatial, & Environmental Design is the property of Common Ground Research Networks and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.