GIS to Support Cost-effective Decisions on Renewable Sources
Subtitle: Applications for low temperature geothermal energy
By: by Alberto Gemelli, Adriano Mancini, Claudia Diamantini, Sauro Longhi
Contributors: Mancini, Adriano; Diamantini, Claudia; Longhi, Sauro; SpringerLink (Online service)
Series: SpringerBriefs in Applied Sciences and Technology
Publisher: Springer London; Imprint: Springer
Published: 2013
Place of publication: London
Language: eng
Format: [electronic resource] :
Number of pages: 84
ISBN-13: 9781447150558
Subjects: Renewable and Green Energy; Engineering; Geoengineering, Foundations, Hydraulics; Hydraulic engineering; Energy Efficiency (incl. Buildings); Renewable energy sources; Economics and Management Energy Policy
Description: 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.
Table of contents: title: PART I; title: Preliminary Study; title: 1.Decision environment of renewable energy: the case of geothermal energy; title: 2.GIS supported decision making.; title: PART II. Case Study; title: 3.GIS supported decision making for low temperature geothermal energy in Central Italy; title: 4.Data collection; title: 5.Feature analysis: selecting decision criteria; title: 6.Decision analysis: choosing the right plant; title: 7.Regional atlas supporting the decision-making process; title: 8.Conclusive remarks.