Monday, October 2 2023 Sign In   |    Register

News Quick Search



Front Page
Power News
Today's News
Yesterday's News
Week of Oct 02
Week of Sep 25
Week of Sep 18
Week of Sep 11
Week of Sep 04
By Topic
By News Partner
Gas News
News Customization


Pro Plus(+)

Add on products to your professional subscription.
  • Energy Archive News

    Home > News > Power News > News Article

    Share by Email E-mail Printer Friendly Print

    Reports from Nagoya University Highlight Recent Findings in Wind Turbines (Resources Time Footprint Analysis of Onshore Wind Turbines Combined With Gis-based Site Selection: a Case Study In Fujian Province, China)

    June 1, 2023 - Climate Change Daily News


      2023 JUN 01 (NewsRx) -- By a News Reporter-Staff News Editor at Climate Change Daily News -- Investigators discuss new findings in Energy - Wind Turbines. According to news reporting out of Nagoya, Japan, by NewsRx editors, research stated, “Wind power is a promising renewable energy source that is rapidly expanding in the global electricity mix. This study explored suitable locations for onshore wind turbines, and estimated the wind power potential in Fujian Province, China.”

      Financial supporters for this research include JST SPRING, Interdisciplinary Frontier Next-Generation Researcher Program of the Tokai Higher Education and Research System, Phub Dem for the data validation.

      Our news journalists obtained a quote from the research from Nagoya University, “We also analyzed the resource occupancy of 100 years of potential wind turbine operation in terms of the materials, CO2 emissions, land, and labor. This was done using the sustainability indicator - re-sources time footprint (RTF). RTF measures the ratio of the occupancy of the resource within a period of time to the total capacity to provide a product or service. This is done using a time dimension (years). A higher RTF value indicates a larger environmental and social impact. Fujian Province has an annual wind power potential of 50,638 GWh, which is mainly clustered around its coastal regions. The RTF of steel is the largest in the material aspect, which is 1.2 times that of copper and 23.9 times that of aluminum. Negative values of the RTF of CO2 and land show that wind power is conducive to CO2 emission reduction and the prevention of future land occupancy. Furthermore, the construction and operation of wind turbines will not impose a burden on the labor force. The RTF values of the wind turbines decreased with an increase in the annual average wind speed.”

      According to the news editors, the research concluded: “By modifying the parameters, this methodology can be applied to determine ideal locations in other regions, which present the highest environmental benefits, for future wind turbine installations.”

      This research has been peer-reviewed.

      For more information on this research see: Resources Time Footprint Analysis of Onshore Wind Turbines Combined With Gis-based Site Selection: a Case Study In Fujian Province, China. Energy for Sustainable Development, 2023;74:102-114. Energy for Sustainable Development can be contacted at: Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands. (Elsevier -; Energy for Sustainable Development -

      Our news journalists report that additional information may be obtained by contacting Xiaoxun Huang, Nagoya University, Graduate School of Engineering, Nagoya 4648601, Japan. Additional authors for this research include Kiichiro Hayashi and Minoru Fujii.

      The direct object identifier (DOI) for that additional information is: This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

      (Our reports deliver fact-based news of research and discoveries from around the world.)


    Other Articles - International


       Home  -  Feedback  -  Contact Us  -  Safe Sender  -  About Energy Central   
    Copyright © 1996-2023 by CyberTech, Inc. All rights reserved.
    Energy Central® and Energy Central Professional® are registered trademarks of CyberTech, Incorporated. Data and information is provided for informational purposes only, and is not intended for trading purposes. CyberTech does not warrant that the information or services of Energy Central will meet any specific requirements; nor will it be error free or uninterrupted; nor shall CyberTech be liable for any indirect, incidental or consequential damages (including lost data, information or profits) sustained or incurred in connection with the use of, operation of, or inability to use Energy Central. Other terms of use may apply. Membership information is confidential and subject to our privacy agreement.