TY  - BOOK
AU  - Gemelli,Alberto
AU  - Mancini,Adriano
AU  - Diamantini,Claudia
AU  - Longhi,Sauro
ED  - SpringerLink (Online service)
TI  - GIS to Support Cost-effective Decisions on Renewable Sources: Applications for low temperature geothermal energy 
T2  - SpringerBriefs in Applied Sciences and Technology,
SN  - 9781447150558
AV  - TA703-705.4 
U1  - 624.15 23
PY  - 2013///
CY  - London
PB  - Springer London, Imprint: Springer
KW  - Engineering
KW  - Renewable energy resources
KW  - Energy policy
KW  - Energy and state
KW  - Energy efficiency
KW  - Engineering geology
KW  - Geology
KW  - Foundations
KW  - Hydraulics
KW  - Renewable energy sources
KW  - Alternate energy sources
KW  - Green energy industries
KW  - Geoengineering, Foundations, Hydraulics
KW  - Renewable and Green Energy
KW  - Energy Policy, Economics and Management
KW  - Energy Efficiency (incl. Buildings)
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4471-5055-8
ER  -