Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer
Poland is facing demanding challenges to achieve a sustainable energy mix in the near future. Crucial and tough decisions must be made about the direction of the national energy economy, safety, and environmental impact. Considering the electricity and heating demand forecast, this paper proposes an...
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doaj-075d1b89838c46439241e124b34b0de12021-01-20T00:00:40ZengMDPI AGEnergies1996-10732021-01-011450150110.3390/en14020501Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf OptimizerDamian Hasterok0Rui Castro1Marcin Landrat2Krzysztof Pikoń3Markus Doepfert4Hugo Morais5Department of Electrical and Computer Engineering, Instituto Superior Técnico-IST, Universidade de Lisboa, 1049-001 Lisbon, PortugalINESC-ID, Department of electrical and computer engineering, Instituto Superior Técnico-IST, Universidade de Lisboa, 1049-001 Lisbon, PortugalDepartment of Technologies and Environmental Engineering, Faculty of Energy and Environmental Engineering, Silesian University of Technology, 44-100 Gliwice, PolandDepartment of Technologies and Environmental Engineering, Faculty of Energy and Environmental Engineering, Silesian University of Technology, 44-100 Gliwice, PolandDepartment of Electrical and Computer Engineering, Instituto Superior Técnico-IST, Universidade de Lisboa, 1049-001 Lisbon, PortugalINESC-ID, Department of electrical and computer engineering, Instituto Superior Técnico-IST, Universidade de Lisboa, 1049-001 Lisbon, PortugalPoland is facing demanding challenges to achieve a sustainable energy mix in the near future. Crucial and tough decisions must be made about the direction of the national energy economy, safety, and environmental impact. Considering the electricity and heating demand forecast, this paper proposes an optimization model based on the Grey Wolf Optimizer meta-heuristic to support the definition of ideal energy mix considering the investment and operational costs. The proposed methodology uses the present energy mix in Poland (the most recent values are from 2017) to calibrate the model implemented in the EnergyPLAN tool. Afterwards, EnergyPLAN relates to an optimization process allowing the identification of the most convenient energy mix in 2040 in Poland. The values obtained are compared with those proposed by Polish public entities showing advantage regarding the global costs of the project nevertheless respecting the same levels of CO<sub>2</sub> and the energy import and export balance. The expected savings can achieve 1.3 billion euros a year and more than 8 million tonnes of CO<sub>2</sub> emission reduction. Sensitivity analysis considering the decrease of the global cost of renewables-based sources is also presented.https://www.mdpi.com/1996-1073/14/2/501cost optimization energy efficiencyenergy sourcesenergy transitionGrey Wolf OptimizerPoland |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Damian Hasterok Rui Castro Marcin Landrat Krzysztof Pikoń Markus Doepfert Hugo Morais |
spellingShingle |
Damian Hasterok Rui Castro Marcin Landrat Krzysztof Pikoń Markus Doepfert Hugo Morais Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer Energies cost optimization energy efficiency energy sources energy transition Grey Wolf Optimizer Poland |
author_facet |
Damian Hasterok Rui Castro Marcin Landrat Krzysztof Pikoń Markus Doepfert Hugo Morais |
author_sort |
Damian Hasterok |
title |
Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer |
title_short |
Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer |
title_full |
Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer |
title_fullStr |
Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer |
title_full_unstemmed |
Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer |
title_sort |
polish energy transition 2040: energy mix optimization using grey wolf optimizer |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2021-01-01 |
description |
Poland is facing demanding challenges to achieve a sustainable energy mix in the near future. Crucial and tough decisions must be made about the direction of the national energy economy, safety, and environmental impact. Considering the electricity and heating demand forecast, this paper proposes an optimization model based on the Grey Wolf Optimizer meta-heuristic to support the definition of ideal energy mix considering the investment and operational costs. The proposed methodology uses the present energy mix in Poland (the most recent values are from 2017) to calibrate the model implemented in the EnergyPLAN tool. Afterwards, EnergyPLAN relates to an optimization process allowing the identification of the most convenient energy mix in 2040 in Poland. The values obtained are compared with those proposed by Polish public entities showing advantage regarding the global costs of the project nevertheless respecting the same levels of CO<sub>2</sub> and the energy import and export balance. The expected savings can achieve 1.3 billion euros a year and more than 8 million tonnes of CO<sub>2</sub> emission reduction. Sensitivity analysis considering the decrease of the global cost of renewables-based sources is also presented. |
topic |
cost optimization energy efficiency energy sources energy transition Grey Wolf Optimizer Poland |
url |
https://www.mdpi.com/1996-1073/14/2/501 |
work_keys_str_mv |
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