Model Factsheet

Overview / electricity LOad curve ADjustment (eLOAD)
Name electricity LOad curve ADjustment
Acronym eLOAD
Methodical Focus load curve projection and optimisation (MILP)
Institution(s) Fraunhofer-Institut für System- und Innovationsforschung
Author(s) (institution, working field, active time period) Tobias Bossmann (2010-2016); Nicolai Parlog (2011-2014); Stefan Eidelloth (since 2013); Marian Klobasa (since 2010); Anna-Lena Klingler (since 2013); Janet Dimitrova (2014-2016); Martin Jakob (since 2010); Ulrich Reiter (since 2013); Matthias Kühnbach (since 2017); Sabine Pelka (since 2019)
Current contact person Matthias Kühnbach
Contact (e-mail) Matthias.Kuehnbach@isi.fraunhofer.de
Website https://www.forecast-model.eu/forecast-en/index.php
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Primary Purpose - long-term projection of hourly system load curves for the EU28 + NO + CH (generally until 2030 or 2050) on NUTS-0, NUTS-1, NUTS-2 and NUTS-3 level - illustration of structural changes in the electricity demand - analysis of load flexibility
Primary Outputs - system load curves before and after optimization of flexible processes - process load profiles before and after load shifting
Support / Community / Forum
Framework
Link to User Documentation https://www.forecast-model.eu/forecast-en/content/methodology.php
Link to Developer/Code Documentation -
Documentation quality not available
Source of funding Research projects and studies for energy utilities, grid operators etc.
Number of developers less than 10
Number of users less than 10
Open Source
Planned to open up in the future
Costs > 50.000 Euro, depending on the research question
Modelling software
Internal data processing software
External optimizer
Additional software
GUI
Modeled energy sectors (final energy) electricity
Modeled demand sectors Households, Industry, Commercial sector, Transport
Modeled technologies: components for power generation or conversion
Renewables Wind, Hydro
Conventional -
Modeled technologies: components for transfer, infrastructure or grid
Electricity -
Gas -
Heat -
Properties electrical grid -
Modeled technologies: components for storage battery, kinetic, compressed air, pump hydro, chemical, heat
User behaviour and demand side management From the technological side, Demand Side Management is implemented by modelling process-specific restrictions of various processes and applications in the residential, tertiary and industrial sector as well as for electric vehicles. User behaviour regarding load flexibility is implemented as parameters and restrictions, amongst others as a share of aggregated process load containing participating users combined with activation costs as well as maximum load shifting duration, maximum amount of events, prohibition for certain times in which comfort is of high priority.
Changes in efficiency eLOAD considers the changing demand of individual processes and thus also the reduction in demand due to efficiency gains. Changing demand is reflected in structural changes in the system load as well as in the available flexibility
Market models -
Geographical coverage
Geographic (spatial) resolution national states, TSO regions, federal states, regions, NUTS 3
Time resolution hour
Comment on geographic (spatial) resolution
Observation period >1 year
Additional dimensions (sector) economic, additional dimensions sector economic text, social, additional dimensions sector social text
Model class (optimisation) MILP
Model class (simulation) -
Other
Short description of mathematical model class
Mathematical objective costs
Approach to uncertainty Deterministic
Suited for many scenarios / monte-carlo
typical computation time less than a day
Typical computation hardware State of the art Xeon servers
Technical data anchored in the model -
Interfaces mysql, sqlite, csv, ms access, command line arguments
Model file format Other
Input data file format .csv
Output data file format .csv
Integration with other models
Integration of other models
Citation reference -
Citation DOI -
Reference Studies/Models -
Example research questions -
Model usage -
Model validation -
Example research questions -
further properties
Model specific properties -

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demand MODEX long-term 2050 EU