GIS to Support Cost-effective Decisions on Renewable Sources [electronic resource] :Applications for low temperature geothermal energy / by Alberto Gemelli, Adriano Mancini, Claudia Diamantini, Sauro Longhi.
by Gemelli, Alberto [author.]; Mancini, Adriano [author.]; Diamantini, Claudia [author.]; Longhi, Sauro [author.]; SpringerLink (Online service).
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BookSeries: SpringerBriefs in Applied Sciences and Technology: Publisher: London : Springer London : 2013.Description: IX, 84 p. 34 illus., 14 illus. in color. online resource.ISBN: 9781447150558.Subject(s): Engineering | Hydraulic engineering | Renewable energy sources | Engineering | Geoengineering, Foundations, Hydraulics | Renewable and Green Energy | Energy Policy, Economics and Management | Energy Efficiency (incl. Buildings)DDC classification: 624.15 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TA775-787 (Browse shelf) | Available | ||||
| TC1-1800 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | TA703-705.4 (Browse shelf) | Available |
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PART I -- Preliminary Study -- 1.Decision environment of renewable energy: the case of geothermal energy -- 2.GIS supported decision making. -- PART II. Case Study -- 3.GIS supported decision making for low temperature geothermal energy in Central Italy -- 4.Data collection -- 5.Feature analysis: selecting decision criteria -- 6.Decision analysis: choosing the right plant -- 7.Regional atlas supporting the decision-making process -- 8.Conclusive remarks.
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.
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