2016
DOI: 10.1016/j.apenergy.2015.11.042
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Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design

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Cited by 86 publications
(35 citation statements)
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References 59 publications
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“…• Biomass usage; [15] EnergyPLAN is combined with a multi objective evolutionary algorithm, and a study that links EnergyPLAN with an external cost optimization computational tool is found in [16]. Also, a study on a continental scale can be found in [17] where a scenario of 100% RES system for Europe is developed, identifying the necessity of a smart energy system for the entire Europe as the way to achieve it.…”
Section: Methodsmentioning
confidence: 99%
“…• Biomass usage; [15] EnergyPLAN is combined with a multi objective evolutionary algorithm, and a study that links EnergyPLAN with an external cost optimization computational tool is found in [16]. Also, a study on a continental scale can be found in [17] where a scenario of 100% RES system for Europe is developed, identifying the necessity of a smart energy system for the entire Europe as the way to achieve it.…”
Section: Methodsmentioning
confidence: 99%
“…The EnergyPLAN model is a deterministic, descriptive, and analytically programmed energy economic modeling platform used to simulate energy system with high degrees of renewable energy in regional or national scale [10]. Compared with other energy system model, energy system is simulated hour by hour due to the instability of renewable electricity production.…”
Section: A Energyplanmentioning
confidence: 99%
“…For technical optimization, the aim is minimizing fossil-fuel consumption without any cost inputs; for economical optimization is minimizing total operational expenses [10] [11]. Detailed technical data, like start up/shut down costs are not included in the software.…”
Section: A Energyplanmentioning
confidence: 99%
“…The EnergyPLAN model is a descriptive analytical model for medium/large-scale energy systems using multi-objective evolutionary algorithms to optimize solutions in the context of complex problems [76]. It can be employed to simulate and optimize energy systems with high shares of renewable energy on regional or national scales.…”
Section: Energyplanmentioning
confidence: 99%
“…For technical optimization, the aim is to minimize fossil-fuel consumption without any cost considerations. For economic optimization the minimization is applied to total operational expenses [76,77].…”
Section: Energyplanmentioning
confidence: 99%