Multiple-criteria decision-making for assessing the enhanced geothermal systems
Energies, 2019•mdpi.com
This paper presents the main features of a multiple-criteria decision-making tool for
economic and environmental assessment of enhanced geothermal systems projects. The
presented holistic approach takes into account important influencing factors such as
technical specifications, geological characteristics, spatial data, energy and heat prices, and
social and environmental impact. The multiple-criteria decision-making approach uses a
weighted decision matrix for evaluating different enhanced geothermal systems alternatives …
economic and environmental assessment of enhanced geothermal systems projects. The
presented holistic approach takes into account important influencing factors such as
technical specifications, geological characteristics, spatial data, energy and heat prices, and
social and environmental impact. The multiple-criteria decision-making approach uses a
weighted decision matrix for evaluating different enhanced geothermal systems alternatives …
This paper presents the main features of a multiple-criteria decision-making tool for economic and environmental assessment of enhanced geothermal systems projects. The presented holistic approach takes into account important influencing factors such as technical specifications, geological characteristics, spatial data, energy and heat prices, and social and environmental impact. The multiple-criteria decision-making approach uses a weighted decision matrix for evaluating different enhanced geothermal systems alternatives based on a set of criterions which are defined and presented in this paper. The paper, defines and quantifies new criterions for assessing enhanced geothermal systems for a particular site. For evaluation of the relative importance of each criterion in decision making, the weight is associated with each of the listed criterions. The different scenarios of end-use applications are tested in the case study. Finally, in the case study, the data and statistics are collected from real geothermal plants. The case study provides results for several scenarios and the sensitivity analysis based on which the approach is validated. The proposed method is expected to be of great interest to investors and decision makers as it enables better risk mitigation.
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