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GIS to Support Cost-effective Decisions on Renewable Sources Applications for low temperature geothermal energy by Alberto Gemelli

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Published by Springer London, Imprint: Springer in London .
Written in English

Subjects:

  • Renewable and Green Energy,
  • Engineering,
  • Geoengineering, Foundations, Hydraulics,
  • Hydraulic engineering,
  • Energy Efficiency (incl. Buildings),
  • Renewable energy sources,
  • Economics and Management Energy Policy

Book details:

About the Edition

Through the results of a developed case study of information system for low temperature geothermal energy, GIS to Support Cost-effective Decisions on Renewable Sources addresses the issue of the use of Geographic Information Systems (GIS) in evaluating cost-effectiveness of renewable resource exploitation regional scale. Focusing on the design of a Decision Support System, a process is presented aimed to transform geographic data into knowledge useful for analysis and decision-making on the economic exploitation of geothermal energy. This detailed description includes a literature review and technical issues related to data collection, data mining, decision analysis for the informative system developed for the case study. A multi-disciplinary approach to GIS design is presented which is also an innovative example of fusion of georeferenced data acquired from multiple sources including remote sensing, networks of sensors and socio-economic censuses. GIS to Support Cost-effective Decisions on Renewable Sources is a pratical reference for engineers, managers and researchers involved in the design of GIS, decision support systems, investment planning/strategy in renewable energy and ICT innovation in this field.

Edition Notes

Statementby Alberto Gemelli, Adriano Mancini, Claudia Diamantini, Sauro Longhi
SeriesSpringerBriefs in Applied Sciences and Technology
ContributionsMancini, Adriano, Diamantini, Claudia, Longhi, Sauro, SpringerLink (Online service)
Classifications
LC ClassificationsTA703-705.4, TA775-787, TC1-1800
The Physical Object
Format[electronic resource] :
PaginationIX, 84 p. 34 illus., 14 illus. in color.
Number of Pages84
ID Numbers
Open LibraryOL27041362M
ISBN 109781447150558

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springer, Through the results of a developed case study of information system for low temperature geothermal energy, GIS to Support Cost-effective Decisions on Renewable Sources addresses the issue of the use of Geographic Information Systems (GIS) in evaluating cost-effectiveness of renewable resource exploitation on a regional scale. Focusing on the design of a Decision Support .   Fürst et al. () underline that there is a discrepancy between unwillingness to pay and the extreme need for GIS and decision support systems to support forest management to optimize financing or cooperation between practice and science must be encouraged. A methodology like ours based on the FOSS4G cooperative development model can.   GIS to Support Cost-effective Decisions on Renewable Sources. Part of the SpringerBriefs in Applied Sciences and Technology book series A., Diamantini C., Longhi S. () Decision Environment of Renewable Energy: The Case of Geothermal Energy. In: GIS to Support Cost-effective Decisions on Renewable Sources. Geographic Information Systems (GIS) have been widely used to identify the suitable wind farm locations. This paper aims to improve spatial decision-support in this domain by we use GIS to visualize adoption of RPSs and electricity generation from renewable energy sources in the US and examine changes in renewable electricity and solar.

Data-driven decisions enable ambitious, cost-effective, and achievable outcomes for renewable energy deployment. Policymakers, planners, investors, technicians, universities, and other supporting institutions all rely on renewable energy resource and geographic information system (GIS) data to make meaningful and impactful decisions. Reaching consensus across interests ensures democratic and cost-effective decision-making processes. Operationalisation of Natural Capital and Ecosystem Services. Ecosystem Services Reference Book, M Potschin-YoungK Jax Evaluation of renewable energy potential using a GIS decision support system. Renewable Energy, 13, – Even though Geographic Information Systems (GIS) are meanwhile slowly penetrating renewable energy research in highly specific and small-scale efforts and their potential for contributing geospatial analysis and visualization methods for awareness-building and decision support has been demonstrated in a number of projects, a broad integration.   Ideal wind farm locations in Colorado according to GIS model criteria from Janke, Analytic Hierarchy Process (AHP) for Optimal Sites. Other attempts also look at optimal location of solar energy project using GIS with analytic hierarchy process (AHP), which is a decision-making technique that breaks problems into hierarchical components that organize data to make them more analyzable.