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Article

Multi-Objective Optimization Model EPLANopt for Energy Transition Analysis and Comparison with Climate-Change Scenarios

1
EURAC Research, Institute for Renewable Energy, Viale Druso 1, I-39100 Bolzano, Italy
2
Dipartimento di energia, Politecnico di Milano, Via Lambruschini, 4, 20156 Milano (MI), Italy
*
Author to whom correspondence should be addressed.
Energies 2020, 13(12), 3255; https://doi.org/10.3390/en13123255
Received: 25 May 2020 / Revised: 16 June 2020 / Accepted: 22 June 2020 / Published: 23 June 2020
(This article belongs to the Special Issue Open Data and Models for Energy and Environment)
The modeling of energy systems with high penetration of renewables is becoming more relevant due to environmental and security issues. Researchers need to support policy makers in the development of energy policies through results from simulating tools able to guide them. The EPLANopt model couples a multi-objective evolutionary algorithm to EnergyPLAN simulation software to study the future best energy mix. In this study, EPLANopt is applied at country level to the Italian case study to assess the best configurations of the energy system in 2030. A scenario, the result of the optimization, is selected and compared to the Italian integrated energy and climate action plan scenario. It allows a further reduction of CO2 emissions equal to 10% at the same annual costs of the Italian integrated energy and climate action plan scenario. Both these results are then compared to climate change scenarios through the carbon budget indicator. This comparison shows the difficulties to meet the Paris Agreement target of limiting the temperature increase to 1.5 °C. The results also show that this target can only be met through an increase in the total annual costs in the order of 25% with respect to the integrated energy and climate action plan scenario. However, the study also shows how the shift in expenditure from fossil fuels, external expenses, to investment on the national territory represents an opportunity to enhance the national economy. View Full-Text
Keywords: energy scenarios; photovoltaics; wind; EPLANopt; multi-objective optimization; climate-change energy scenarios; photovoltaics; wind; EPLANopt; multi-objective optimization; climate-change
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MDPI and ACS Style

Prina, M.G.; Manzolini, G.; Moser, D.; Vaccaro, R.; Sparber, W. Multi-Objective Optimization Model EPLANopt for Energy Transition Analysis and Comparison with Climate-Change Scenarios. Energies 2020, 13, 3255. https://doi.org/10.3390/en13123255

AMA Style

Prina MG, Manzolini G, Moser D, Vaccaro R, Sparber W. Multi-Objective Optimization Model EPLANopt for Energy Transition Analysis and Comparison with Climate-Change Scenarios. Energies. 2020; 13(12):3255. https://doi.org/10.3390/en13123255

Chicago/Turabian Style

Prina, Matteo G., Giampaolo Manzolini, David Moser, Roberto Vaccaro, and Wolfram Sparber. 2020. "Multi-Objective Optimization Model EPLANopt for Energy Transition Analysis and Comparison with Climate-Change Scenarios" Energies 13, no. 12: 3255. https://doi.org/10.3390/en13123255

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