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Energies
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Development of Renewable Energy Resource Map and Resource Assessment
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Development of Renewable Energy Resource Map and Resource Assessment

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: closed (10 January 2024) | Viewed by 9043

Special Issue Editors

Dr. Jin-Young Kim

E-Mail Website
Guest Editor
Renewable Energy Big Data Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
Interests: renewable energy resource assessment; renewable energy planning and operation; climate change; measurements; numerical simulation
Special Issues, Collections and Topics in MDPI journals
Dr. Sung Goon Park

E-Mail Website
Guest Editor
Mechanical & Automotive Engineering Department, Seoul National University of Science & Technology, Seoul 01811, Republic of Korea
Interests: data science; CFD; wind energy
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yosoon Choi

E-Mail Website
Guest Editor
Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Republic of Korea
Interests: smart mining; renewables in mining; space mining; AICBM (AI, IoT, cloud, big data, mobile) convergence; unmanned aerial vehicle; mine planning and design; open-pit mining operation; mine safety; geographic information systems; 3D geo-modeling; geostatistics; hydrological analysis; energy analysis and simulation; design of solar energy conversion systems; renewable energy systems
Special Issues, Collections and Topics in MDPI journals
Dr. Chang Ki Kim

E-Mail Website
Guest Editor
New & Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
Interests: solar irradiance forecasting; energy research

Special Issue Information

Dear Colleagues,

It is difficult to imagine a future energy source without renewable energy. Their use has been increasing not only for national security but also for the sustainable environment. Renewable energy resource mapping and resource assessment have contributed to the advances in the energy integration process in space and energy planning at local, regional and national scale. These have mainly been related to the environmental variability and regulation, technology innovation and market prices throughout the multiscale. This Special Issue covers all topics related to RE technologies, including solar energy, wind energy, hydrogen and fuel cells, bioenergy, geothermal energy, hydropower, marine energy, renewable integration, resource assessment, policy and strategy, and low-carbon technology.

Dr. Jin-Young Kim
Dr. Sung Goon Park
Prof. Dr. Yosoon Choi
Dr. Chang Ki Kim
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 submissions that pass pre-check are 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. Energies 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 2600 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

  • renewable energy resource map
  • data processing for renewable resource mapping and resource assessment
  • monitoring, modeling, data-driven analysis technology
  • renewable resource variability and potential assessment
  • environmental variability, regulation and technology innovation
  • renewable spatial planning and integration
  • policy and strategy

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Published Papers (2 papers)

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Research

19 pages, 7495 KiB  
Article
Assessing the Reliability and Optimizing Input Parameters of the NWP-CFD Downscaling Method for Generating Onshore Wind Energy Resource Maps of South Korea
by Jeonghyeon Kim, Hyungoo Moon, Jin-Yong Kim, Keon Hoon Kim, Hyun-Goo Kim and Sung Goon Park
Energies 2024, 17(3), 648; https://doi.org/10.3390/en17030648 - 30 Jan 2024
Cited by 2 | Viewed by 1300
Abstract
The numerical weather prediction (NWP) method is one of the popular wind resource forecasting methods, but it has the limitation that it does not consider the influence of local topography. The NWP-CFD downscaling considers topographic features and surface roughness by performing computational fluid [...] Read more.
The numerical weather prediction (NWP) method is one of the popular wind resource forecasting methods, but it has the limitation that it does not consider the influence of local topography. The NWP-CFD downscaling considers topographic features and surface roughness by performing computational fluid dynamics (CFD) with the meteorological data obtained by the NWP method as a boundary condition. The NWP-CFD downscaling is expected to be suitable for wind resource forecasting in Korea, but it lacks a quantitative evaluation of its reliability. In this study, we compare the actual measured data, the NWP-based data, and the NWP-CFD-based data quantitatively and analyze the three main input parameters used for the calculation of NWP-CFD (minimum vertical grid size Δzmin, the difference angle Δdir, and the forest model activation reference length l0). Compared to the actual measurement data, the NWP-based data overestimate wind resources by more than 35%, while the NWP-CFD-based data show an error of about 8.5%. The Δzmin and Δdir have little effect on the results, but the l0 has a large effect on the simulation results, and it is necessary to adjust the values appropriately corresponding to the characteristics of an area. Full article
(This article belongs to the Special Issue Development of Renewable Energy Resource Map and Resource Assessment)
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28 pages, 10864 KiB  
Article
Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration
by Jerome G. Gacu, Junrey D. Garcia, Eddie G. Fetalvero, Merian P. Catajay-Mani and Cris Edward F. Monjardin
Energies 2023, 16(18), 6724; https://doi.org/10.3390/en16186724 - 20 Sep 2023
Cited by 23 | Viewed by 6993
Abstract
Sibuyan Island is experiencing a significant increase in electricity demand due to population growth, urbanization, and industrial development. The island plans to use solar energy, recognizing its abundance and renewable nature; thus, this study was conducted to visualize the spatial distribution of solar [...] Read more.
Sibuyan Island is experiencing a significant increase in electricity demand due to population growth, urbanization, and industrial development. The island plans to use solar energy, recognizing its abundance and renewable nature; thus, this study was conducted to visualize the spatial distribution of solar exploration suitability using a geographic information system (GIS). Various criteria, including climatology, location, geography, meteorology, and disaster susceptibility, were considered in the assessment. Parameters affected by government policies, such as protected areas, proximity to rivers, roads and faults, ancestral domains, and proclaimed watersheds, were also considered. Parameters were weighted, and suitability levels were highlighted using AHP. The study revealed that about 5.88% (2674.06 km2) of the island was categorized as highly suitable for a solar farm, 34.99% (15,908.21 km2) as suitable, 2.49% (1129.95 km2) as moderately suitable, and the majority, 56.64% (25,754.47 km2), was considered not suitable for solar projects. A solar power suitability map was developed as a reference for local governments and residents in establishing solar PV systems in their respective sites, thus maximizing the full potential of their land. The study also directs future solar power exploration studies in Sibuyan Island, supporting ongoing efforts to maximize solar energy utilization. Full article
(This article belongs to the Special Issue Development of Renewable Energy Resource Map and Resource Assessment)
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