Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa

Grassi, Stefano; Chokani, Ndaona; Abhari, Reza S.

doi:10.1016/j.enpol.2012.01.061

Cited by 118 publications

(70 citation statements)

References 39 publications

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“…The weights in the multiriteria analysis will also have to be accommodated to local social and economic needs. This approach must be based on local projects that can evaluate the financial input and profit together with environmental insight and other criteria (Dagdougui et al, 2011;Sarralde et al, 2015;Celik, et al, 2009;Grassi et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Multicriteria analysis for sources of renewable energy using data from remote sensing

Matějı́ček

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Renewable energy sources are major components of the strategy to reduce harmful emissions and to replace depleting fossil energy resources. Data from remote sensing can provide information for multicriteria analysis for sources of renewable energy. Advanced land cover quantification makes it possible to search for suitable sites. Multicriteria analysis, together with other data, is used to determine the energy potential and socially acceptability of suggested locations. The described case study is focused on an area of surface coal mines in the northwestern region of the Czech Republic, where the impacts of surface mining and reclamation constitute a dominant force in land cover changes. High resolution satellite images represent the main input datasets for identification of suitable sites. Solar mapping, wind predictions, the location of weirs in watersheds, road maps and demographic information complement the data from remote sensing for multicriteria analysis, which is implemented in a geographic information system (GIS). The input spatial datasets for multicriteria analysis in GIS are reclassified to a common scale and processed with raster algebra tools to identify suitable sites for sources of renewable energy. The selection of suitable sites is limited by the CORINE land cover database to mining and agricultural areas. The case study is focused on long term land cover changes in the 1985-2015 period. Multicriteria analysis based on CORINE data shows moderate changes in mapping of suitable sites for utilization of selected sources of renewable energy in 1990, 2000, 2006 and 2012. The results represent map layers showing the energy potential on a scale of a few preference classes (1-7), where the first class is linked to minimum preference and the last class to maximum preference. The attached histograms show the moderate variability of preference classes due to land cover changes caused by mining activities. The results also show a slight increase in the more preferred classes for utilization of sources of renewable energy due to an increase area of reclaimed sites. Using data from remote sensing, such as the multispectral images and the CORINE land cover datasets, can reduce the financial resources currently required for finding and assessing suitable areas.* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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Section: Discussionmentioning

confidence: 99%

Multicriteria analysis for sources of renewable energy using data from remote sensing

Matějı́ček

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…This is particularly surprising, as the value of using GIS-based approaches for solving questions in the energy domain have been proven in a number of research projects, including renewable energy potential assessment [3][4][5][6][7], energy consumption modeling [8][9][10], planning specific energy infrastructure projects [11][12][13], building energy demand estimation [14][15][16], site planning for renewable energy power plants [17][18][19] or visual impact assessment [20][21][22][23]. Although the above-mentioned approaches are promising and highly suitable for dedicated singular applications, no generic methods for trans-domain integration of energy (system) models and geospatial analysis processes have been defined yet.…”

Section: Introductionmentioning

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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“…Rodman and Meentemeyer utilized a rules-based GIS modeling approach to assess the suitability of wind farms in Northern California, U.S., in which factors were grouped into three categories (i.e., physical, environmental and socio-economic) [7]. A group of technical, economic and policy factors were incorporated into a GIS tool to define the locations for wind farm sites in Iowa, U.S. [13]. A similar approach was adopted to locate available areas for installing wind turbines in southwestern Taiwan [14].…”

Section: Nebraska Wind Energy Potentialmentioning

confidence: 99%

A Geospatial Approach for Prioritizing Wind Farm Development in Northeast Nebraska, USA

Miller

2014

IJGI

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Being cleaner and climate friendly, wind energy has been increasingly utilized to meet the ever-growing global energy demands. In the State of Nebraska, USA, a wide gap exists between wind resource and actual energy production, and it is imperative to expand the wind energy development. Because of the formidable costs associated with wind energy development, the locations for new wind turbines need to be carefully selected to provide the greatest benefit for a given investment. Geographic Information Systems (GIS) have been widely used to identify the suitable wind farm locations. In this study, a GIS-based multi-criteria approach was developed to identify the areas that are best suited to wind energy development in Northeast Nebraska, USA. Seven criteria were adopted in this method, including distance to roads, closeness to transmission lines, population density, wind potential, land use, distance to cities, slope and exclusionary areas. The suitability of wind farm development was modeled by a weighted overlay of geospatial layers corresponding to these criteria. The results indicate that the model is capable of identifying locations highly suited for wind farm development. The approach could help identify suitable wind farm locations in other areas with a similar geographic background.

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Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa

Cited by 118 publications

References 39 publications

Multicriteria analysis for sources of renewable energy using data from remote sensing

Multicriteria analysis for sources of renewable energy using data from remote sensing

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

A Geospatial Approach for Prioritizing Wind Farm Development in Northeast Nebraska, USA

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