Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8895
Main Title: Illustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Language
Author(s): Weibezahn, Jens
Kendziorski, Mario
Type: Article
Is Supplemented By: 10.5281/zenodo.1044463
Language Code: en
Abstract: In this paper we introduce a five-fold approach to open science comprised of open data, open-source software (that is, programming and modeling tools, model code, and numerical solvers), as well as open-access dissemination. The advantages of open energy models are being discussed. A fully open-source bottom-up electricity sector model with high spatial resolution using the Julia programming environment is then being developed, describing source code and a data set for Germany. This large-scale model of the electricity market includes both generation dispatch from thermal and renewable sources in the spot market as well as the physical transmission network, minimizing total system costs in a linear approach. It calculates the economic dispatch on an hourly basis for a full year, taking into account demand, infeed from renewables, storage, and exchanges with neighboring countries. Following the open approach, the model code and used data set are fully publicly accessible and we use open-source solvers like ECOS and CLP. The model is then being benchmarked regarding runtime of building and solving against a representation in GAMS as a commercial algebraic modeling language and against Gurobi, CPLEX, and Mosek as commercial solvers. With this paper we demonstrate in a proof-of-concept the power and abilities, as well as the beauty of open-source modeling systems. This openness has the potential to increase the transparency of policy advice and to empower stakeholders with fewer financial possibilities.
URI: https://depositonce.tu-berlin.de/handle/11303/9883
http://dx.doi.org/10.14279/depositonce-8895
Issue Date: 25-Mar-2019
Date Available: 23-Aug-2019
DDC Class: 004 Datenverarbeitung; Informatik
333 Boden- und Energiewirtschaft
Subject(s): power systems modeling
open source
algebraic modeling language
optimization
benchmarking
Julia
JuMP
Sponsor/Funder: BMWi, 03ET4028A, Verbundvorhaben: Langfristige Planung und kurzfristige Optimierung des Elektrizitätssystems in Deutschland im europäischen Kontext, Teilvorhaben: Langfristige Planung des Übertragungsnetzes in Deutschland unter Berücksichtigung der Interpendenzen zur Erzeugungsplanung, sowie zum Wärme- und Gassektor.
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Energies
Publisher: MDPI
Publisher Place: Basel
Volume: 12
Issue: 6
Article Number: 1153
Publisher DOI: 10.3390/en12061153
EISSN: 1996-1073
Appears in Collections:FG Wirtschafts- und Infrastrukturpolitik (WIP) » Publications

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