Special Issue "The Potential and Benefit of Renewable Energy Resources: A Spatial-Temporal Variation Perspective"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Dr. Jingying Fu
E-Mail Website
Guest Editor
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: spatiotemporal simulation for the potential and benefit of renewable energy resources; remote sensing applications for resources and the environment
Prof. Zhigang Sun
E-Mail Website
Guest Editor
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing zip code: 100101, China
Interests: response and adaptation of agroecosystem to climate change; multiscale observation; modeling; evaluation of agroecosystems
Prof. Fengming Xi
E-Mail Website
Guest Editor
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Interests: renewable energy resources; carbon budget; carbon emissions; carbon sink

Special Issue Information

Dear Colleagues,

Renewable energy resources (solar energy, hydro energy, wind energy, biomass energy, geothermal energy, etc.) are an effective way to relieve the energy crisis and also protect the environment due to its advantages of cleanness, safety, and reproducibility. The key problem of renewable energy resource development is how to estimate the potential of environmental and economic benefits accurately and scientifically. However, compared to the literature available in resource assessment and emission reduction benefit analysis, there have been few reports on integrated research from a spatial–temporal analysis perspective based on multisource data. Thus, theoretical research and practical applications of Potential and Benefit of Renewable Energy Resources from the spatial–temporal analysis perspective still need to be further refined.

This Special Issue mainly focuses on the innovation of the estimation method for the potential of renewable energy resources, especially in the energy benefits, environmental impacts, and the economy assessment from the spatial analysis perspective via geographic information systems (GIS), machine learning methods or hybrid economic models, presenting a relevant opportunity for all scholars to share their knowledge from the multidisciplinary community across the world, including energy economists, social scientist, and geographers.

Further progress in theoretical research and practical applications on the potential and benefits of renewable energy resources using spatial-temporal analysis techniques are welcome. We also seek integrative studies regarding the comprehensive benefits and spatial–temporal characteristics of development models for renewable energy resources using machine learning or hybrid economic theory and methodology, to meet the target of the great potential of scale production and the commercial development prospect. This is expected to address the question of how to evaluate and simulate the potential and benefit of renewable energy resources scientifically and will provide an important theoretical support for planning renewable energy resource development more rationally.

Dr. Jingying Fu
Prof. Zhigang Sun
Prof. Fengming Xi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • solar energy
  • hydro energy
  • wind energy
  • biomass energy
  • geothermal energy
  • marine energy
  • geographic information system
  • machine learning methods
  • hybrid economic model

Published Papers (1 paper)

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Research

Article
Toward Renewable Energy in China: Revisiting Driving Factors of Chinese Wind Power Generation Development and Spatial Distribution
by and
Sustainability 2021, 13(16), 9117; https://doi.org/10.3390/su13169117 - 14 Aug 2021
Viewed by 287
Abstract
As the biggest renewable energy installation and generation country globally, it is important to deeply understand China’s wind power production determinants and draw implications for energy policy. This paper analyzes local electricity deployment, electricity consumption, investment in wind power, and price of wind [...] Read more.
As the biggest renewable energy installation and generation country globally, it is important to deeply understand China’s wind power production determinants and draw implications for energy policy. This paper analyzes local electricity deployment, electricity consumption, investment in wind power, and price of wind power electricity on-grid apart from traditional GDP and CO2 factors in the panel data regression model, and some interesting results are found. The investment of installation and the price of wind power electricity on-grid have negative impacts on wind power generation, while local electricity consumption and inter-provincial power transmission capacity significantly impact wind power generation positively. GDP and CO2 emission per capita have negative and positive impacts on wind power production, respectively. As for different wind power zones, the most influencing factors are local electricity consumption. Hence, this paper concludes that local absorbing capacity is still an important limiting factor to Chinese renewable energy development. At last, some policies are suggested to enhance the local absorbing capacity of renewable energy. Full article
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