Titlebook: GIS to Support Cost-effective Decisions on Renewable Sources; Applications for low Alberto Gemelli,Adriano Mancini,Sauro Longhi Book 2013 T

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GIS to Support Cost-effective Decisions on Renewable SourcesApplications for low

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GIS-Supported Decision Makingonvenience of its exploitation in each site individually. The GIS is the ideal tool to process large amounts of data that subtend the decision problem in a geographic dimension, to synthesize the models, and make them accessible. In this chapter, we present some analytical tools that are included in

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GIS-Supported Decision Making for Low-Temperature Geothermal Energy in Central Italyermal energy, and it allows to build spatial models of the resource and to evaluate the cost-benefit of its exploitation in a wide region of central Italy. The architecture of the system and the computational workflow are depicted. The design is based on a thorough study of data analysis tools.

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Feature Analysis: Selecting Decision Criteriaer, the automated reasoning techniques are used to maximize the efficiency of data processing, and to extract indicators of the LTGE potential and of the energy demand, this resource must meet. The final products of this process are indicators of performance of the LTGE plant and other alternative s

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Decision Analysis: Choosing the Right Plantcost-benefit analysis of the geothermal resource has been extended to the geographic dimension. The decision analysis is conducted on the basis of the decision criteria and priorities for different categories of stakeholders. The goal is to automate the decision problem solving, to build spatial dec

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Regional Atlas Supporting the Decision-Making Processhighlighted, based on maps that represent different levels of support: (1) passive level, maps of individual features; (2) intermediate level, maps in which the decision criteria are represented; (3) active level, maps that express directly the solution to the decision problem. The collection consti

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Conclusive Remarksd: (a) to expand the architecture of a GIS to support the decision-making process through instruments based on automated reasoning, sustaining geocomputational approach to geographic data analysis; (b) to extract new and valid conclusions concerning of decision-making process on LTGE, contributing t

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2191-530X e geothermal energy, which is used for heating domestic and .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