EPLANopt - A multi-objective optimization approach for energy scenarios

EPLANopt is an optimization for the EnergyPLAN software. It offers a bottom-up energy system modelling approach to find the optimal future alternatives for the energy system.

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A multi-objective optimization approach

Inspecting the best future alternatives of the energy system requires particular characteristics and resolution to completely assess the challenges of the energy transition. A high temporal resolution in the modelling is required to properly catch renewable energy variability. Sector-coupling is needed to accurately evaluate the synergies between energy sectors. EPLANopt model based on EnergyPLAN software, developed by Aalborg University, has the above-mentioned features.

Eurac research has coupled the EnergyPLAN software with a multi-objective evolutionary algorithm to perform the expansion capacity optimization with a multi-objective approach. The multiobjective optimization approach allows the modelers to present the final results to the policy makers in the most transparent way enabling a participatory process for the selection of best futurealternatives fo r the energy system.

Development

EPLANopt - EnergyPLAN Optimization - is a script to run a genetic optimization for the EnergyPLAN software developed by Aalborg University, based on the DEAP Distributed Evolutionary Algorithms in Python. The script has been developed during the RegEnMod project of Eurac Research. The main purpose of the EPLANopt model is to define solutions that satisfy minimum criteria in the analysis of various energy strategies by means of EnergyPLAN and DEAP.

Features

  • Future best energy mixes
  • Evaluation of the costs of the current and future energy system
  • Analysis of th e structure of the cost of the energy system
  • Analysis of the energy flows and exchanges on hourly basis
  • Analysis of the must-haves and must-avoids within the decarbonization measures

Licence

The model is publicly accessible through the GNU Lesser General Public License. It is published on a public GitLab repository Eurac Research is offering consultancy services to the correct use of the EPLANopt tool. For more information, please see contacts below

Project

RegEnMod

Regional Energy Modelling

Duration: - Funding: Internal funding EURAC (Project)
1 - 7

2023Regional Energy Modelling for the Piedmont Region

The Region of Piedmont commissioned Eurac Research to carry out a study of its energy system and transition scenarios.

2021Consultancy for energy planning in Ukraine

Eurac Research is part of an Austrian-Italian Consortium and is providing assistance on the implementation and ...

2019Dynamic modelling of energy scenarios for Lower Austria

Eurac Research developed a dynamic modelling of energy scenarios to achieve the climate and energy targets of Lower ...

2019Regional Energy Modelling Land Salzburg

The commissioned project entails the realisation of an analysis of the Salzburg Land energy system for the ...

2019Energy transition and carbon budget: the Italian scenario

Eurac Research study developing scenarios of the Italian energy system towards progressive de-carbonization

2018Regional Energy Modeling South Tyrol

Development of sustainable energy models for energy transition in Southtyrol

2016EPLANopt - A multi-objective optimization approach for energy scenarios

EPLANopt is an optimization for the EnergyPLAN software. It offers a bottom-up energy system modelling approach to find ...

Institute