GIS to Support Cost-effective Decisions on Renewable Sources
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.
Presents a Geographic Information System (GIS) dedicated to the cost effectiveness analysis of a renewable energy source, the low temperature geothermal energy, which is used for heating domestic and public environments Focuses on the design of system components that transform geographic data into knowledge useful for analysis and decision-making on the economic exploitation of geothermal energy Provides a multidisciplinary approach to GIS design, which mixes the contribution from engineering, science and economics