• Title/Summary/Keyword: Siting

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A Case Study of Resolving Conflict in Energy Infrastructure Siting by the Solar PV Project

  • Lee, Jonghwan;Shin, Dong-hwi;Han, Soohee;Roh, Jae Hyung
    • Current Photovoltaic Research
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    • v.8 no.3
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    • pp.79-85
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    • 2020
  • The growing demand for new energy infrastructure has often been encountered with the difficulties of siting in power plants and electric transmission lines. Siting such large-scale and complex facilities produces so many-sided issues that it is highly necessary to develop an approach to resolving the related problems and conflicts. This paper introduces how the stakeholders have handled the issues and resolved conflicts with residents opposed the construction of 765 kV transmission line. The solar photovoltaic power generation, called "Hee-Mang Sunlight Power project", is used for persuading residents to agree with constructing high-voltage transmission line and sharing benefits. It is considered how the project performance such as generation output and resident's profits is and proposed what the project should be revised and supplement. The project is shown that the intractable spiting in energy systems can be smartly resolved with cost-effective institutional solutions instead of relatively expensive technical ones.

Analysis of Wind Energy Resource & Case study for Wind Park Siting (풍력발전단지 개발을 위한 풍자원 해석 및 단지 설계)

  • Byun, Hyo-In;Ryu, Ji-Yune;Kim, Doo-Hoon
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.21-24
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    • 2005
  • This study explains the procedure that should be taken to develop a successful wind park project. It Provide guideline for activities and studies to be done step by step solution. This study follow a chronological flow through the development process. They cover Technical consideration, Assessment of Wind Energy Resource, Wind park siting and Energy yield calculation. It's build on the experience gained by the Youngduk Wind Park project and give the playa role in the development of wind energy projects. It is important to understand all theses issues if a new project is to be successfully completed.

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Analysis of Wind Environments for Siting a Wind Farm (풍력발전 단지조성을 위한 바람환경 분석)

  • 김현구;최재우;손정봉;정우식;이화운
    • Journal of Korean Society for Atmospheric Environment
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    • v.19 no.6
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    • pp.745-756
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    • 2003
  • An analysis of wind environments using computational fluid dynamics and an evaluation of wind resources using measurement data obtained from meteorological observation sites at Homi-Cape, Pohang have been carrid out for siting a wind farm. It was shown that a numerical simulation using computational fluid dynamics would provide reliable wind resource map in complex terrain with land-sea breeze condition. As a result of this investigation, Homi-Cape wind farm with 11.25 ㎿ capacity has been designed for maximum power generation and 25.7 GWh electricity production is predicted.

Wind Farm Siting in Mountainous Terrain By Geomorphometric Characterization (지형형태 분류에 의한 산악지형 내 풍력단지 입지평가)

  • Kim, Hyun Goo;Hwang, Hyo Jung;Kang, Yong Heack;Yun, Chang Yeol;Jung, Bi Rin;Song, Kyu Bong
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.13-19
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    • 2014
  • To develop a wind farm in a mountainous terrain like Korea, it is generally more advantageous to install wind turbines along a mountain ridge where has relatively better wind resource because that is open in all directions and free from shielding by the surrounding topography. In this study, the SRTM (Shuttle Radar Topography Mission) v4.1 3 arc-second resolution digital elevation database and the geomorphometric characterization software LandSerf v2.3 are used to extract ridge lines for assessing a wind farm siting in mountainous terrain. The effectiveness of wind farm siting along a ridge line is confirmed that the most of wind turbines in the Gangwon, Taegisan, and Maebongsan wind farms in Korea's mountainous terrain are placed along the primary and secondary ridge lines where wind resource is relatively outstanding.

GIS Analysis on Siting Strategy of Offshore Wind Farm (해상풍력단지 입지전략 GIS 분석)

  • Song, Kyu-Bong;Kim, Hyun-Goo
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.460-462
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    • 2009
  • This study has analyzed the scale, location, resource potential and feasibility of offshore wind farm scientifically and systematically based on the national wind map and GIS (Geographic Information System). For long-term wind power development, this study pursues siting strategy building, selection of target area and deciding development priority as well as the presenting a basis for assessment that are necessary for policy decision making by making theme layers under GIS environment. According to the analysis after organizing technological development by stages, even if only the most suitable sites are developed among the area of offshore wind farm candidates that can be developed under the current technological standard, it has been evaluated as being able to develop about 3 times of the wind power dissemination target until 2012. It is expected that about 5% of territorial water area can be developed in a short-term future while the southern offshore area possessing relatively favorable wind resource than the western offshore has been identified as the most feasible site. While about 23% of territorial water area has been classified as potential area for offshore wind farm development in a long-term future, even Jeju Island and offshore of Ulsan possessing excellent wind resource have been analyzed as feasible sites. The feasibility assessment of offshore wind farm development established by this study is expected to assist national strategy building for accomplishing the wind power dissemination target.

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Optimum Macro-Siting for Offshore Wind Farm Using RDAPS Sea Wind Model (RDAPS Sea Wind Model을 이용한 해상풍력발전단지 최적 Macro-Siting)

  • Lee, K.H.;Jun, S.O.;Park, K.H.;Lee, D.H.;Park, Jong-Po
    • 한국전산유체공학회:학술대회논문집
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    • 2011.05a
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    • pp.286-290
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    • 2011
  • This paper introduces the optimum macro-siting of a potential site for an offshore wind farm around Jeju Island using the RDAPS sea wind model. The statistical model was developed by analyzing the sea wind data from RDAPS model, and the meso-scale digital wind map was prepared. To develop the high resolution spatial calibration model, Artificial Neural Network(ANN) models were used to construct the wind and bathymetric maps. Accuracy and consistency of wind/bathymetric spatial calibration models were obtained using analysis of variance. The optimization problem was defined to maximize the energy density satisfying the criteria of maximum water depth and maximum distance from the coastline. The candidate site was selected through Genetic Algorithm(GA). From the results, it is possible to predict roughly a candidate site location for the installation of the offshore wind jam, and to evaluate the wind resources of the proposed site.

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