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|a 9781447150558
|9 978-1-4471-5055-8
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|a 10.1007/978-1-4471-5055-8
|2 doi
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|a TA703-705.4
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|a 624.15
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|a Gemelli, Alberto.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a GIS to Support Cost-effective Decisions on Renewable Sources
|h [electronic resource] :
|b Applications for low temperature geothermal energy /
|c by Alberto Gemelli, Adriano Mancini, Claudia Diamantini, Sauro Longhi.
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|a 1st ed. 2013.
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|a London :
|b Springer London :
|b Imprint: Springer,
|c 2013.
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|a IX, 84 p. 34 illus., 14 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-5318
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|a 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.
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|a 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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|a Engineering geology.
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|a Renewable energy sources.
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|a Energy policy.
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|a Energy and state.
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|a Geoengineering.
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|a Renewable Energy.
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|a Energy Policy, Economics and Management.
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|a Mancini, Adriano.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Diamantini, Claudia.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Longhi, Sauro.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9781447150565
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|i Printed edition:
|z 9781447150541
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-5318
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4 |
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|u https://doi.uam.elogim.com/10.1007/978-1-4471-5055-8
|z Texto Completo
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|a ZDB-2-ENG
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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|a Engineering (R0) (SpringerNature-43712)
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