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Dispatch and Investment Evaluation Tool with Endogenous Renewables
by DIW Berlin
Authors:
Wolf-Peter Schill, Alexander Zerrahn
Contact:
Wolf-Peter Schill, Alexander Zerrahn
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The Dispatch and Investment Evaluation Tool with Endogenous Renewables (DIETER) has initially 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. Meanwhile, several model extensions have been developed and applied to different research questions. 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 energy storage and other flexibility options related to arbitrage, firm capacity, and reserves. 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.
Based on GAMS; CPLEX. Using MS Excel for data processing.
Website / Documentation
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 Open Source
MIT license (MIT)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
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| Model type
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Optimization
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Linear cost minimization problem. Decision variables include investment and dispatch of generation, storage, DSM and different sector coupling options including vehicle-grid interactions in both wholesale and balancing markets.
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| Variables
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| Computation time
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minutes (depends on model specification (seconds to days))
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| Objective
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Cost minimization
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| Uncertainty modeling
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- (work in progress)
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Zerrahn, A., Schill, W.-P. (2017): Long-run power storage requirements for high shares of renewables: review and a new model. Renewable and Sustainable Energy Reviews 79, 1518-1534
https://dx.doi.org/https://doi.org/10.1016/j.rser.2016.11.098
Reports produced using the model
https://doi.org/10.1016/j.rser.2017.05.205,
https://doi.org/10.5547/2160-5890.6.1.wsch,
https://doi.org/10.1007/s12398-016-0174-7
Example research questions
Which capacities of various flexibility / sector coupling options prove to be optimal under different shares of renewables, and what are their effects on quantities and prices?
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