Evaluation of Renewable Energy potential using a GIS decision support system

Voivontas, D.; Assimacopoulos, D.; Mourelatos, A.; Corominas, Joaquim

doi:10.1016/s0960-1481(98)00006-8

Cited by 195 publications

(90 citation statements)

References 1 publication

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“…Two basic approaches have been used. Some studies used Boolean logic to exclude lands based on "hard constraints" where development is legally prohibited (e.g., parks) or operationally infeasible (e.g., greater than a threshold distance from roads and transmission lines) [4]. Other studies combined values of energy potential with those of technical and environmental factors to derive an overall suitability score [5,6,8,9].…”

Section: Introductionmentioning

confidence: 99%

Siting solar energy development to minimize biological impacts

2013

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a b s t r a c tAfter solar and other renewable energy developers select generally suitable sites for exploration, they frequently encounter conflict over biodiversity conservation values that were not factored into the initial suitability rating methods. This paper presents a spatial multicriteria analysis method for modeling risk of conflict with biological resources and applies the model in the California deserts where such conflicts are rapidly rising. The premise of the model is that the least conflict will occur on sites that are the most ecologically degraded with low conservation value and that would engender low off-site impacts when connecting to existing transmission infrastructure. Model results suggest sufficient compatible land exists in flat, non-urban areas to meet state solar energy targets of 8.7 GW of installed capacity in the California deserts for 2040. The model is a promising tool to fill the gap between site suitability analysis for renewable energy and regional biodiversity conservation planning to identify areas where rapid impact assessment and permitting will generate the least regrets.

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Section: Introductionmentioning

confidence: 99%

Siting solar energy development to minimize biological impacts

2013

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“…Geographical Information System (GIS) 3) is used to investigate the sea areas appropriate for offshore wind power generation in the Seto Inland Sea. As the constrained conditions to extract the appropriate sea areas from the whole area of the Seto Inland Sea, the water depth, the annual mean wind speed, the natural park areas and the ship lanes are considered in the GIS analysis.…”

Section: Estimation Methods (1) Consideration Of Constrained Conditionsmentioning

confidence: 99%

Offshore Wind Power Potentials in the Seto Inland Sea

Hiejima

Hiyoshi

2009

JESSS

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The Seto Inland Sea is an appropriate place for offshore wind power generation due to its features of vast shallow waters, numerous islands, calm ocean waves, steady breeze circulation and so on. In this study, offshore wind energy potential in the Seto Inland Sea is estimated based on the wind prediction data of LAWEPS, and the sea areas appropriate for offshore wind power generation are extracted by means of GIS analysis considering the constrained conditions such as wind speed, water depth, natural parks and ship lanes. The results of the estimation show that the maximum annual power generation is 247 TWh and the minimum is 32 TWh. In particular, the Suo-Nada area near the Kanmon Channel seems to be highly promising as the offshore wind power generation site.

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“…Use of Artificial Neural Network has been used for estimation of wind power, wind speed [15] [16] and [17], wind energy [18]. [19] Voivontas et al…”

Section: Spatial Planning For Renewable Energy Resourcesmentioning

confidence: 99%

Mapping Potential Wind Energy Zones in Suez Canal Region, Using Satellite Data and Spatial Multicriteria Decision Models

Effat¹

2017

GEP

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Spatial mapping of potential zones for wind energy is crucial for sustainable regional planning. The Suez Canal Region, Egypt, is currently a focus for national government and international investments for developing the logistic area. The Suez Governorate region is known of its high wind speed along the Gulf of Suez coast. This paper aims at estimating and mapping the potential zones for harnessing wind energy in such region. The method utilizes satellite data and spatial multi-criteria evaluation. Landsat 8 OLI satellite image was used to derive the land-use/land-cover map. Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) was used in modeling the wind power density map using the region's annual average wind speed data. Decision criteria including the climatic conditions, topography, infrastructure and land-cover maps were standardized, weighted and aggregated using weighted linear combination to identify the potential wind energy zones. The results reveal that the highest potential zones for wind energy reach a maximum value of 650 Watt/m 2 and a mean of 310 watt/m 2 and are located in the south-eastern part of the Suez Governorate Region along the Gulf of Suez. Findings indicate a high potential for harnessing wind energy in the region. The resultant maps can be used as guidelines for regional planning and zoning of renewable energy resources.

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Evaluation of Renewable Energy potential using a GIS decision support system

Cited by 195 publications

References 1 publication

Siting solar energy development to minimize biological impacts

Siting solar energy development to minimize biological impacts

Offshore Wind Power Potentials in the Seto Inland Sea

Mapping Potential Wind Energy Zones in Suez Canal Region, Using Satellite Data and Spatial Multicriteria Decision Models

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