Multicriteria GIS modeling of wind and solar farms in Colorado

Janke, Jason R.

doi:10.1016/j.renene.2010.03.014

Cited by 336 publications

(138 citation statements)

References 18 publications

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“…Although developed in the context of solar energy, the framework has similar applicability for wind and geothermal energy. For instance, Janke [6] modeled site suitability for wind and solar farms in Colorado with the same set of environmental and geographic criteria for both technologies. The On-site Degradation information from the risk model can inform conservation planning as a factor in determining conservation value and in modeling species habitat suitability.…”

Section: Discussionmentioning

confidence: 99%

“…For example, utility-scale solar energy projects cannot be technically or economically constructed on slopes greater than 5% [23]. Also urban residents generally oppose utility-scale renewable energy projects in or near their town [6,18] even though urban areas have low biological value. To account for these constraints, we excluded areas with slopes >5% [23] and urban regions mapped by the 2000 US Census.…”

Section: Dm Stoms Et Al / Renewable Energy 57 (2013) 289e298mentioning

confidence: 99%

“…Its application for renewable energy is more recent, however [4e6]. Geographic information systems (GIS) have been used to model spatial patterns of suitability and constraints for development of solar [6e8], wind [6,9,10], and wave or tidal [11,12] resources. Two basic approaches have been used.…”

Section: Introductionmentioning

confidence: 99%

“…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]. Known biological constraints such as designated critical habitat for endangered species can be incorporated in this approach.…”

Section: Introductionmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 99%

Section: Dm Stoms Et Al / Renewable Energy 57 (2013) 289e298mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Siting solar energy development to minimize biological impacts

2013

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“…Especially, the identification of suitable places for wind and solar farms, pump storage hydroelectricity [44][45][46], as well as the mapping of renewable energy resources, including solar photovoltaic, wind, geothermal, biomass and hydro-electricity [11,[47][48][49][50][51], have lately been widely explored. These studies employ geospatial data on land use, elevation, buildings and infrastructure.…”

Section: Gis-based Approaches (Implicitly Geospatial Methods)mentioning

confidence: 99%

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

Resch

Sagl

Törnros

et al. 2014

IJGI

124

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Abstract:In the face of the broad political call for an -energy turnaround‖, we are currently witnessing three essential trends with regard to energy infrastructure planning, energy generation and storage: from planned production towards fluctuating production on the basis of renewable energy sources, from centralized generation towards decentralized generation and from expensive energy carriers towards cost-free energy carriers. These changes necessitate considerable modifications of the energy infrastructure. Even though most of these modifications are inherently motivated by geospatial questions and challenges, the integration of energy system models and Geographic Information Systems (GIS) is still in its infancy. This paper analyzes the shortcomings of previous approaches in using GIS in renewable energy-related projects, extracts distinct challenges from these previous efforts and, finally, defines a set of core future research avenues for GIS-based energy infrastructure planning with a focus on the use of renewable energy. These future OPEN ACCESS ISPRS Int. J. Geo-Inf. 2014, 3 663 research avenues comprise the availability base data and their -geospatial awareness‖, the development of a generic and unified data model, the usage of volunteered geographic information (VGI) and crowdsourced data in analysis processes, the integration of 3D building models and 3D data analysis, the incorporation of network topologies into GIS, the harmonization of the heterogeneous views on aggregation issues in the fields of energy and GIS, fine-grained energy demand estimation from freely-available data sources, decentralized storage facility planning, the investigation of GIS-based public participation mechanisms, the transition from purely structural to operational planning, data privacy aspects and, finally, the development of a new dynamic power market design.Keywords: integration of GIS and energy system models; GIS and renewable energy; GIS-based energy infrastructure planning; future research challenges; fluctuating renewables; structural planning of local energy systems; operation optimization

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Solar photovoltaic panels significantly promote vegetation recovery by modifying the soil surface microhabitats in an arid sandy ecosystem

et al. 2019

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The arid sandy areas have great potential for producing solar power, and a large number of solar photovoltaic (PV) power (SPP) stations have been set‐up in these regions across the world. Construction of SPP at large scale certainly changes the land surface with consequences on the local ecosystem. However, few studies have focused on these impacts. This study explored the influence of SPP on vegetation by modifying microhabitats. The soil water content (SWC), evaporation, photosynthetically active radiation (PAR), soil and air temperature (AT), vegetation coverage, biomass, and species richness were measured under different positions of the SPP and outside. The results showed that SWC in the station was much higher than that observed outside the SPP, and the evaporation in the SPP was lower than outside (P < .05). The PAR below the PV panel line zone is much lower than the interval (IT) zone. The surface coverage, biomass, and species richness were significantly higher in the SPP than outside the IT zone and outside the SPP (P < .05). The AT under the panel was 1.67 times lower than above during the plant growing season. The microhabitat index has a high correlation with biomass, coverage, and species richness. PV panels could impact microhabitat in arid sandy areas and accelerate vegetation recovery progress and quality. The SPP construction would not only supply clean energy but also bring unintended ecological benefits in the future.

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Multicriteria GIS modeling of wind and solar farms in Colorado

Cited by 336 publications

References 18 publications

Siting solar energy development to minimize biological impacts

Siting solar energy development to minimize biological impacts

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

Solar photovoltaic panels significantly promote vegetation recovery by modifying the soil surface microhabitats in an arid sandy ecosystem

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