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| | |author_institution=DLR Institute of Networked Energy Systems | | |author_institution=DLR Institute of Networked Energy Systems |
| | |authors=Wilko Heitkoetter, Wided Medjroubi | | |authors=Wilko Heitkoetter, Wided Medjroubi |
| − | |text_description=The open source model region4FLEX quantifies, to which extent regional load shifting potentials can fulfill the local flexibility demand of the German transmission grid, e.g. for mitigating curtailment of renewable energies. The model offers an underlying database, which contains load shifting potentials on the administrative district level for Germany. The load shifting potentials are calculated by taking into account the structural parameters of the respective regions, such as employment rates in different industry sectors or the composition of the residential building stock. The local flexibility demand data of the power grid are calculated using the open_eGO energy system model. In region4FLEX, a cost optimisation defines, which of the available load shifting potentials in a region can be used, to meet the local flexibility demand. The resulting operating data, e.g. numbers of load shifting events, are used for a subsequent economic-assessment of the flexibility options from the operator’s perspective. | + | |contact_persons=Wilko Heitkoetter |
| − | |Framework=Python, pgSQL
| + | |contact_email=wilko.heitkoetter@dlr.de |
| | + | |text_description=The open source model region4FLEX quantifies, to which extent regional load shifting potentials can fulfill the local flexibility demand of the German high voltage grid (110, 220, 380 kV), e.g. for mitigating curtailment of renewable energies. The model offers an underlying database, which contains load shifting potentials on the administrative district level for Germany. The load shifting potentials are calculated by taking into account the structural parameters of the respective regions, such as employment rates in different industry sectors or the composition of the residential building stock. The local flexibility demand data of the power grid are calculated using the open_eGO energy system model. In region4FLEX, a cost optimisation defines, which of the available load shifting potentials in a region can be used, to meet the local flexibility demand. The resulting operating data, e.g. numbers of load shifting events, are used for a subsequent economic-assessment of the flexibility options from the operator’s perspective. |
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| | + | Model is under development. After release it will be directly downloadable. |
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| | + | MODULE 1: Heat demand and power-to-heat capacities |
| | + | (Article: https://doi.org/10.1016/j.apenergy.2019.114161 ; Open Access Preprint: https://arxiv.org/abs/1912.03763 ; Open Dataset DOI: https://doi.org/10.5281/zenodo.2650200) |
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| | + | MODULE 2: Regionalised load shifting potentials for 19 technologies from the residential, commercial and industrial sector, as well as sector coupling (dsmlib tool) |
| | + | (Article: https://doi.org/10.1016/j.adapen.2020.100001, dsmlib tool and dataset: https://zenodo.org/record/3988921) |
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| | + | MODULE 3: Investment and dispatch optimisation of demand response; economic assessment from macro-economic and operator's perspective |
| | + | (Article: https://doi.org/10.3390/en15228577; Code repository: https://doi.org/10.5281/zenodo.6424639) |
| | |open_source_licensed=Yes | | |open_source_licensed=Yes |
| | |license=Apache License 2.0 (Apache-2.0) | | |license=Apache License 2.0 (Apache-2.0) |
| | |model_source_public=No | | |model_source_public=No |
| | + | |data_availability=all |
| | |open_future=No | | |open_future=No |
| | + | |modelling_software=Python |
| | + | |processing_software=PostgreSQL |
| | |GUI=No | | |GUI=No |
| | + | |model_class=load shifting optimisation |
| | + | |sectors=electricity plus sector coupling (EVs, P2Heat, P2Gas) |
| | + | |Demand sectors=Households, Industry, Transport, Commercial sector |
| | + | |Transfer (Electricity)=Transmission |
| | + | |Storage (Electricity)=Battery |
| | |Storage (Gas)=No | | |Storage (Gas)=No |
| − | |Storage (Heat)=No | + | |Storage (Heat)=Yes |
| | + | |georegions=Germany |
| | + | |georesolution=Administrative districts |
| | + | |timeresolution=15 Minute |
| | + | |network_coverage=transmission |
| | + | |math_modeltype=Optimization |
| | |is_suited_for_many_scenarios=No | | |is_suited_for_many_scenarios=No |
| | |montecarlo=No | | |montecarlo=No |
