ELMOD

The Spatial Optimization Model of the Electricity Sector “ELMOD”

The electricity sector model family ELMOD includes a variety of spatial optimization models with detailed representations of the European electricity sector including the generation portfolio and the physical transmission network. ELMOD models apply a bottom-up approach which combines economic and engineering features of the electricity sector. ELMOD models determine the cost-minimizing or welfare-maximizing dispatch taking into account flows in the high-voltage transmission network using a DC load flow approach as well as technical characteristics of generation units. ELMOD models allow addressing a variety of research questions concerning, e.g., market design, congestion management, and investments in electricity infrastructures. The development of ELMOD was initiated in 2006 by Florian Leuthold, Hannes Weigt, and Christian von Hirschhausen.

The initial ELMOD version and the dataset has been continuously extended, updated, and applied at DIW Berlin and TU Berlin. By now, four members of the ELMOD family have evolved:

ELMOD:        The original model version for Europe

ELMOD-DE:  An open-source model for Germany

stELMOD:     A stochastic multi-market model with rolling planning

dynELMOD:  A multi-period investment model

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ELMOD : The Original Version for Europe

ELMOD represents the European electricity system on a nodal level with an hourly time resolution.. The model comprises a detailed representation of the European transmission network and the spatial generation and load pattern.

The initial ELMOD formulation is documented and applied in Leuthold, F.U., Weigt, H., Hirschhausen, C. (2012): A Large-Scale Spatial Optimization Model of the European Electricity Market. In: Networks and Spatial Economics. 10, 1, pp. 75-107.

A detailed description of data and data sources for the European electricity system and the handling of data is provided in DIW Data Documentation 72 | PDF, 8.53 MB .

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ELMOD-DE: An Open-Source Model for Germany

ELMOD-DE represents the German electricity system on nodal level with hourly resolution for the year 2012. It is an open-source model which may be freely used and modified by anyone. The code is licensed under the MIT License. Some of the input data is licensed under the Open Data Commons Open Database License (ODbL). To view a copy of these licenses, visit http://opensource.org/licenses/MIT and http://opendatacommons.org/licenses/odbl/. Whenever you use this model, please refer to http://www.diw.de/elmod. We are happy to receive your feedback.

The model is implemented in the General Algebraic Modeling System (GAMS). Running the model thus requires a GAMS system, an LP solver, and respective licenses. We use the commercial solver CPLEX, but other LP solvers work as well.

Below you find an overview of available ELMOD-DE versions that include model applications, descriptions, and documentations. The ZIP files include the GAMS code and an Excel file with all necessary input parameters.

ELMOD-DE Version 1.0.0

ELMOD_DE_v1.0.0.zip | ZIP, 5.29 MB

The ELMOD-DE model is described in DIW Data Documentation 83 | PDF, 7.92 MB

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stELMOD: A Stochastic Multi-Market Model with Rolling Planning

stELMOD is a stochastic optimization model to analyze the impact of uncertain wind generation on the day ahead and intraday electricity markets as well as network congestion management. After clearing of the daily day ahead and the subsequent hourly intraday markets, the final power plant dispatch is determined by the transmission system operator considering network congestion arising from previous market commitments. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure resembling the market process of most European markets.

Below you find an overview of available open-source stELMOD versions. The ZIP file includes the GAMS code and data files with all necessary input parameters. The stELMOD code is licensed under the MIT License. To view a copy of the license, visit http://opensource.org/licenses/MIT. Whenever you use this model, please refer to http://www.diw.de/elmod.

The model is implemented in the General Algebraic Modeling System (GAMS). Running the model thus requires a GAMS system, a MIP solver, and respective licenses. We use the commercial solver CPLEX.

Model development of stELMOD takes place at GitHub

stELMOD Version 1.0.0

stELMOD_v1.0.0.zip | ZIP, 2.8 MB

The model is used and documented in  Abrell, J. Kunz, F. (2013): Integrating Intermittent Renewable Wind Generation: A Stochastic Multi-Market Electricity Market. DIW Discussion Paper 1301 | PDF, 1.45 MB

The model is applied to cross-border congestion management in  Kunz, F., Zerrahn, A. (2016): Coordinating Cross-Country Congestion Management. DIW Discussion Paper 1551 | PDF, 0.91 MB

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dynELMOD: A Multi-Period Investment Model

dynELMOD is a multi-period investment model of the European electricity sector until 2050. The model optimizes the electricity generation, storage and network infrastructure investments by minimizing total system cost, given policy targets of constraints. Investments are determined in five or ten-year steps considering the hourly dispatch of existing and new built generation technologies. Interactions between countries through the interconnected transmission network are incorporated by using either a country-sharp power transfer distribution factor matrix (PTDF) based on the actual transmission network or using net transfer capacities (NTCs) based on commercial cross-border transactions.

The model is documented and applied in Gerbaulet, C., Kunz, F., Lorenz, C., von Hirschhausen C. and Reinhard, B., (2014): Cost-minimal investments into conventional generation capacities under a Europe-wide renewables policy. 11th International Conference on the European Energy Market (EEM), Krakow, 2014.


A recent application is in  Kemfert, C., Gerbaulet, C., von Hirschhausen, C. Lorenz, C., Reitz, F. (2015): European Climate Targets Achievable without Nuclear Power. DIW Economic Bulletin 47 / 2015 | PDF, 177.51 KB .