SpringerBriefs in Applied Sciences and Technology: Applications for low temperature geothermal energy

Gemelli, Alberto; Mancini, Adriano; Diamantini, Claudia; Longhi, Sauro

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 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 useful, practical 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.

Details

Published by: Springer

Publication Date: 2013-04-30

Format: Paperback

ISBN-13: 9781447150541

DOI: 10.1007/978-1-4471-5055-8

Dimensions: 235cm x155cm

Pages: 84