Verkauf durch Sack Fachmedien

Gemelli / Longhi / Mancini

GIS to Support Cost-effective Decisions on Renewable Sources

Applications for low temperature geothermal energy

Medium: Buch
ISBN: 978-1-4471-5054-1
Verlag: Springer
Erscheinungstermin: 30.04.2013
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9781447150541
  • Medium: Buch
  • ISBN: 978-1-4471-5054-1
  • Verlag: Springer
  • Erscheinungstermin: 30.04.2013
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2013
  • Serie: SpringerBriefs in Applied Sciences and Technology
  • Produktform: Kartoniert
  • Gewicht: 1591 g
  • Seiten: 84
  • Format (B x H x T): 155 x 235 x 6 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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