Author institution
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DIW Berlin +
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Authors
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Wolf-Peter Schill, Alexander Zerrahn +
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Citation doi
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https://doi.org/10.1016/j.rser.2016.11.098 +
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Citation references
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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
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Computation time comments
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depends on model specification (seconds to days)
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Contact email
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wschill@diw.de +
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Contact persons
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Wolf-Peter Schill, Alexander Zerrahn +
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Data availability
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all +
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Decisions
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dispatch +
, investment +
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Deterministic
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- (work in progress) +
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Example research questions
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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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Full Model Name
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Dispatch and Investment Evaluation Tool with Endogenous Renewables +
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Georegions
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Initial version: greenfield, loosely calibrated to Germany; central European version also available +
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Georesolution
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In most applications so far, Germany as one node; version with additional central European country nodes available +
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Is suited for many scenarios
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true +
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License
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MIT license (MIT) +
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Math modeltype
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Optimization +
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Math modeltype shortdesc
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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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Math objective
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Cost minimization +
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Model class
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Optimization +
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Model source public
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true +
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Modelling software
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GAMS; CPLEX +
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Open future
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false +
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Open source licensed
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true +
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Processing software
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MS Excel +
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Report references
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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
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Sectors
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electricity plus sector coupling (EVs +
, P2Heat) +
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Technologies
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Renewables +
, Conventional Generation +
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Text description
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The Dispatch and Investment Evaluation Too … 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.em, an LP solver, and respective licenses.
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Timeresolution
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Hour +
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Website
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http://www.diw.de/dieter +
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Creation dateThis property is a special property in this wiki.
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22 June 2015 11:22:39 +
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Has improper value forThis property is a special property in this wiki.
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Source download +
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Categories |
Model +
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Last editor isThis property is a special property in this wiki.
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User:Wolf-Peter Schill +
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Modification dateThis property is a special property in this wiki.
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13 December 2017 21:41:09 +
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Is a new pageThis property is a special property in this wiki.
|
false +
|