GIS to Support Cost-effective Decisions on Renewable Sources GIS to Support Cost-effective Decisions on Renewable Sources

GIS to Support Cost-effective Decisions on Renewable Sources

Applications for low temperature geothermal energy

Alberto Gemelli und andere
    • 42,99 €
    • 42,99 €

Beschreibung des Verlags

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.

GENRE
Gewerbe und Technik
ERSCHIENEN
2013
16. April
SPRACHE
EN
Englisch
UMFANG
93
Seiten
VERLAG
Springer London
GRÖSSE
3,1
 MB

Mehr ähnliche Bücher

Resource Efficiency of Processing Plants Resource Efficiency of Processing Plants
2017
Data-driven Analytics for Sustainable Buildings and Cities Data-driven Analytics for Sustainable Buildings and Cities
2021
Advances in Reliability Analysis and its Applications Advances in Reliability Analysis and its Applications
2019
Sustainability Sustainability
2023
Artificial Intelligence for Knowledge Management, Energy, and Sustainability Artificial Intelligence for Knowledge Management, Energy, and Sustainability
2022
Advances in Operational Research in the Balkans Advances in Operational Research in the Balkans
2019