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| | |contact_email=wschill@diw.de | | |contact_email=wschill@diw.de |
| | |website=http://www.diw.de/dieter | | |website=http://www.diw.de/dieter |
| − | |text_description=The Dispatch and Investment Evaluation Tool with Endogenous Renewables (DIETER) has been developed in the research project StoRES to study the role of power storage and other flexibility options in a greenfield setting with high shares of renewables. The model determines cost-minimizing combinations of power generation, demand-side management, and storage capacities as well as their respective dispatch in both the wholesale and the reserve markets. DIETER thus captures multiple system values of power storage related to arbitrage, firm capacity, and reserves. DIETER is an open source model which may be freely shared alike and adapted for non-commercial uses. It is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The model is implemented in the General Algebraic Modeling System (GAMS). Running the model thus also requires a GAMS system, an LP solver, and respective licenses. | + | |text_description=The Dispatch and Investment Evaluation Tool with Endogenous Renewables (DIETER) has been developed in the research project StoRES to study the role of power storage and other flexibility options in a greenfield setting with high shares of renewables. The model determines cost-minimizing combinations of power generation, demand-side management, and storage capacities as well as their respective dispatch in both the wholesale and the reserve markets. DIETER thus captures multiple system values of power storage related to arbitrage, firm capacity, and reserves. An extended version also includes grid interactions of electric vehicles. DIETER is an open source model which may be freely used and modified by anyone. The code is licensed under the MIT license, and input data is licensed under the Creative Commons Attribution-ShareAlike 4.0 International Public License. The model is implemented in the General Algebraic Modeling System (GAMS). Running the model thus also requires a GAMS system, an LP solver, and respective licenses. |
| | |open_source_licensed=Yes | | |open_source_licensed=Yes |
| − | |license=Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0) | + | |license=MIT license (MIT) |
| | |model_source_public=Yes | | |model_source_public=Yes |
| | |data_availability=all | | |data_availability=all |
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| | |technologies=Renewables, Conventional Generation | | |technologies=Renewables, Conventional Generation |
| | |decisions=dispatch, investment | | |decisions=dispatch, investment |
| − | |georegions=Greenfield, loosely calibrated to Germany | + | |georegions=Germany or greenfield, loosely calibrated to Germany |
| | |timeresolution=Hour | | |timeresolution=Hour |
| | |math_modeltype=Optimization | | |math_modeltype=Optimization |
| − | |math_modeltype_shortdesc=Linear cost minimization problem. Decision variables include investment and dispatch of generation, storage, and DSM capacities in both wholesale and balancing markets. | + | |math_modeltype_shortdesc=Linear cost minimization problem. Decision variables include investment and dispatch of generation, storage, and DSM capacities as ell as vehicle-grid interactions in both wholesale and balancing markets. |
| | |math_objective=Cost minimization | | |math_objective=Cost minimization |
| | |deterministic=- | | |deterministic=- |
| | |is_suited_for_many_scenarios=Yes | | |is_suited_for_many_scenarios=Yes |
| − | |citation_references= Zerrahn, A., Schill, W.-P. (2015): A greenfield model to evaluate long-run power storage requirements for high shares of renewables. DIW Discussion Paper 1457. | + | |citation_references=Zerrahn, A., Schill, W.-P. (2015): A greenfield model to evaluate long-run power storage requirements for high shares of renewables. DIW Discussion Paper 1457. |
| | |example_research_questions=Which capacities of storage and/or other flexibility options are required in the long run for different minimum shares of renewables? | | |example_research_questions=Which capacities of storage and/or other flexibility options are required in the long run for different minimum shares of renewables? |
| | }} | | }} |
Zerrahn, A., Schill, W.-P. (2015): A greenfield model to evaluate long-run power storage requirements for high shares of renewables. DIW Discussion Paper 1457.
Which capacities of storage and/or other flexibility options are required in the long run for different minimum shares of renewables?
