Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites

Omitaomu, Olufemi A.; Blevins, Brandon R.; Jochem, Warren C.; Mays, G.T.; Belles, Randy; Hadley, Stanton W.; Harrison, T.; Bhaduri, Budhendra; Neish, Bradley S.; Rose, Amy

doi:10.1016/j.apenergy.2011.11.087

Cited by 90 publications

(57 citation statements)

References 5 publications

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“…Thus, the individual use of renewable energy sources is oftentimes predetermined in that possible locations for setting up renewable energy power plants are rare in dense urban areas. In a similar way, Omitaomu et al describe an adapted GIS-based multi-criteria decision analysis approach to determine the suitability for new power generating sites [55]. The methodology considers environmental, geological and socio-economic aspects, amongst others.…”

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

confidence: 99%

“…Although this GIS-based approach is designed to work at large scales, it is spatially explicit in that it divides the entire area of the USA into millions of 100 m by 100 m cells and computes the suitability of each cell for new power generation sites. Significant drawbacks of approaches like [44,55] include the lack of ability to consider more dynamic spatio-temporal aspects across different spatial and temporal scales, or the lacking integrability of topological aspects of the underlying energy network as regards the balancing of extraordinary peaks in energy load shifts across spatially explicit cells.…”

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

confidence: 99%

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

confidence: 99%

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

View full text Add to dashboard Cite

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“…The questionnaire was targeted at tactical level planners and users, and the convenience sampling method adopted using fifteen officers of the ranks lieutenant colonel (5), major (5), and captain (5). Identifying the use of GIS for improving MDMP at higher levels was tested using live interviews.…”

Section: Data Standardization and Mcementioning

confidence: 99%

“…This research presents a case study of a location analysis procedure that is an integral part of military intelligence operations on the battlefield during the base selection stage. Site selection using GIS is a well-established use of geospatial data [5,[14][15][16][17]. Armed forces use GIS in cartography, combat area management, military deployment, intelligence, and terrain analysis, allowing decision makers and commanders to obtain useful data and information.…”

Section: Geographic Information Systems In a Military Contextmentioning

confidence: 99%

“…For example, the introduction of satellite technology, and subsequent advances in remote sensing (RS), brought accuracy and precision to the battlefield. Geographic information systems (GIS) have since become useful tools in storing, analysing, manipulating, and managing location-based information, and have further enhanced military operation effectiveness [1][2][3][4][5][6][7][8][9][10]. Many modern armies take advantage of GIS in their military decisionmaking processes (MDMP) (all branches of the United States military have a military occupational specialty (MOS) focused on geospatial data and analysis, for example, the U.S. Army's 12Y-Geospatial Engineer).…”

Section: Geographic Information Systems In a Military Contextmentioning

confidence: 99%

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The Analytic Hierarchy Process in GIS-Driven Military Operation Base Selection: A Case Study in Sri Lanka

Stimers¹

2017

J Def Manag

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In a military context, the collection, analysis, and use of geographic data can provide leaders with timely and accurate information on which to base decisions. GIS systems are used to store, manipulate, analyze, and manage all types of geodata, and are widely used by many military organizations in military decision making processes (MDMPs). Apart from accuracy, usage of GIS in MDMPs has provided many advantages, becoming a powerful and popular tool in the militaries of developed countries. However, even though GIS is a sophisticated tool in MDMP, the Sri Lankan Army has not employed widespread use of these systems. Tactical operations in which covert movement is paramount to success depend on high quality data and information concerning enemy positions, as was the case in the Sri Lankan Civil War . A case study of base siting using GIS is explored here; in this research we attempt to introduce GIS as a powerful tool in MDMPs in the Sri Lankan military. Sri Lanka is a developing country that suffered from a terrorist war for more than 30 years. All decision making and data gathering was done manually, spending more money and man power that was realistically necessary. This research is focused on providing solid evidence for the use of GIS techniques in MDMPs, which can partially supplant slower, less reliable humanbased decision making processes. In selecting a suitable permanent or temporary military operation base in enemy territory, all parameters need to be evaluated accurately. Injecting logical and statistical data, thus more automated processes into command-level decisions, will minimize errors in MDMPs. The analytic hierarchy process (AHP) is utilized to structure commander's perceptions of important selection criteria, and optimal base selection procedures are described.

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Ranking sustainable areas for the development of tidal power plants: A case study in the northern coastline of Brazil

et al. 2020

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This study proposed an environmental sustainability index (ESI) to aid the identification of suitable areas for the installation of tidal power plants (TPPs) in coastal areas. Geographic Information System (GIS) and multicriteria analysis (MCA) were integrated to construct the proposed method. ESI consisted of a subindex of environmental fragility (EFI) with six components (geology, geomorphology, vegetation, slope, pedology, and land use), selected from the scientific literature. Therefore, the method serves as a guiding tool for coastal regions without existing information on the environmental impacts generated by this type of energy system. A consultation process with experts, the Delphi method, was conducted to assign weights to the components and subcomponents of the proposed ESI method. The study tested the method on a case study at the sector III of the coastal zone of the state of Pará (CZP), Brazil. The simulations considered scenarios with the installation of TPP of different scales. Scores close to 3 were considered less fragile sites in the ESI. The municipalities with the best ESI performance were São Sebastião da Boa Vista for scenarios I (2.7721) and II (2.126), and Soure for scenario III (1.9908). Moreover, ESI analysis revealed that small tidal dams for sector III are more feasible than medium and large dams. The use of GIS integrated with MCA provided a useful tool to analyze different parameters and visualize areas with the greatest environmental potential. There are challenges associated with complexity of MCA, dependency on expert's opinion, and subjectivity of the weighting system. In addition, limited data is available for the region, which hindered us to explore more fragility parameters.

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Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites

Cited by 90 publications

References 5 publications

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

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

The Analytic Hierarchy Process in GIS-Driven Military Operation Base Selection: A Case Study in Sri Lanka

Ranking sustainable areas for the development of tidal power plants: A case study in the northern coastline of Brazil

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