The goal of the research is to propose an optimization-based methodology for the evaluation of retrofitincentives, using as a benchmark the wide data collection reported by the ENEA Italian Agency since 2007.To determine the best mix of energy retrofit measures for different areas of Italy, two Linear Program-ming models are proposed. The first model maximizes energy savings and the second one minimizesretrofit costs. The results show a 17% reduction in the average cost for each MW h of saved energy. Moreimportantly, the methodology can help decision-makers appreciate how energy efficiency incentiveshave been used so far and how effective they could be. Furthermore, the methodology can be used forsetting future incentive distribution plans.
G. Desogus, M. Di Francesco, L. Di Pilla, S. Mura, R. Ricciu (2016). Optimizing the distribution of Italian building energy retrofit incentives with Linear Programming. ENERGY AND BUILDINGS, 112, 21-27 [10.1016/j.enbuild.2015.11.050].
Optimizing the distribution of Italian building energy retrofit incentives with Linear Programming
L. Di Pilla
Membro del Collaboration Group
;
2016-01-01
Abstract
The goal of the research is to propose an optimization-based methodology for the evaluation of retrofitincentives, using as a benchmark the wide data collection reported by the ENEA Italian Agency since 2007.To determine the best mix of energy retrofit measures for different areas of Italy, two Linear Program-ming models are proposed. The first model maximizes energy savings and the second one minimizesretrofit costs. The results show a 17% reduction in the average cost for each MW h of saved energy. Moreimportantly, the methodology can help decision-makers appreciate how energy efficiency incentiveshave been used so far and how effective they could be. Furthermore, the methodology can be used forsetting future incentive distribution plans.File | Dimensione | Formato | |
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