000 03697nam a22005535i 4500
001 978-1-4471-5055-8
003 DE-He213
005 20140220082808.0
007 cr nn 008mamaa
008 130417s2013 xxk| s |||| 0|eng d
020 _a9781447150558
_9978-1-4471-5055-8
024 7 _a10.1007/978-1-4471-5055-8
_2doi
050 4 _aTA703-705.4
050 4 _aTA775-787
050 4 _aTC1-1800
072 7 _aRBP
_2bicssc
072 7 _aRBGK
_2bicssc
072 7 _aSCI042000
_2bisacsh
082 0 4 _a624.15
_223
100 1 _aGemelli, Alberto.
_eauthor.
245 1 0 _aGIS to Support Cost-effective Decisions on Renewable Sources
_h[electronic resource] :
_bApplications for low temperature geothermal energy /
_cby Alberto Gemelli, Adriano Mancini, Claudia Diamantini, Sauro Longhi.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aIX, 84 p. 34 illus., 14 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
505 0 _aPART 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.
520 _aThrough 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.
650 0 _aEngineering.
650 0 _aHydraulic engineering.
650 0 _aRenewable energy sources.
650 1 4 _aEngineering.
650 2 4 _aGeoengineering, Foundations, Hydraulics.
650 2 4 _aRenewable and Green Energy.
650 2 4 _aEnergy Policy, Economics and Management.
650 2 4 _aEnergy Efficiency (incl. Buildings).
700 1 _aMancini, Adriano.
_eauthor.
700 1 _aDiamantini, Claudia.
_eauthor.
700 1 _aLonghi, Sauro.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447150541
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-5055-8
912 _aZDB-2-ENG
999 _c94768
_d94768