GIS to Support Cost-effective Decisions on Renewable Sources

Alberto Gemelli received the PhD and B.Eng. in Computer Engineering at the Polytechnic University of Marche and a MSc Geology at the Catania University. His main research interests are on applications of geographic information systems to renewable energy, economic geography and spatial data mining. In these areas he had professional assignments with several years work experience in geophysical data processing. Adriano Mancini holds a Post-doctor position at the Information Engineering Department of Polytechnic University of Marche. He received PhD and MSc in the Industrial Automation Engineering at the same university. His researched interests are on applications of geographic information systems to renewable energy, land use & land cover and image processing. He is also a consultant and scientific advisor for companies and spin-off. Claudia  Diamantini  is Associate  Professor  of Computer Engineering at the Polytechnic University of Marche,  where she leads the Knowledge Discovery & Management research group. She received  the  Laurea  degree  with  honors in 1990 from the University of Milan, and the PhD from the University of Ancona in 1995. Her research interests are in the areas of machine learning, data mining and knowledge discovery.  Sauro Longhi is Full Professor of Automation Engineering at the Polytechnic University of Marche and Director of the Information Engineering Department. His main research interests are the model based control, fault diagnosis , unmanned systems and renewable energy. He published more than 300 papers on international journal and conferences. He was the CEO of a spin-off company focused on green energy.

• 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