]> 2026-04-16T09:33:46+02:00 DIETER 0 Wolf-Peter Schill, Alexander Zerrahn https://doi.org/10.1016/j.rser.2016.11.098 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 depends on model specification (seconds to days) Wolf-Peter Schill, Alexander Zerrahn all dispatch investment - (work in progress) 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? Dispatch and Investment Evaluation Tool with Endogenous Renewables In most applications so far, Germany as one node; version with additional central European country nodes available true MIT license (MIT) Optimization 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. Cost minimization Optimization true GAMS; CPLEX false true MS Excel 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 electricity plus sector coupling (EVs P2Heat) Renewables Conventional Generation 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. Hour 2015-06-22T11:22:39Z 2457195.9740625 2017-12-13T21:41:09Z 2458101.4035764 false DIETER