Name of the study OMEGAlpes, an open source optimisation model generation tool to support energy stakeholders at district scale
Author, Institution Sacha Hodencq, G2Elab
Contact (e-mail) sacha.hodencq@g2elab.grenoble-inp.fr
Client None
Source of funding public
Citation reference Reviewing process in progress
Citation doi Reviewing process in progress
Aim Underlining the challenges of energy modelling at district scale, presenting the capabilities and social considerations of the tool
New aspects Comprehensive presentation of OMEGAlpes capabilities on a waste heat recovery use case
Spatial / Geographical coverage District scale
Time frame 2020
target year
transformation path
Modeled energy sectors electricity, heat
Modeled demand sectors households, industry
Economic (behavioural) rationale single fictive decision-maker with perfect knowledge (perfect foresight optimization)
Technologies included Heat Pump, Thermal storage, electricity, heat
Economic focuses included No
Social focuses included Generation with actor package
Endogenous variables Electric grid power, Thermal storage charging and discharging powers, Thermal storage energy and capacity, Heating network production, Heat pump powers
Sensitivities
Technologies included hour
Exogenous time series used feed-in, load-curves
Technical data + usage Heat pump characteristics (COP, nominal power), water logic
Social data None
Economical data None
Ecological data Static mean european power grid GHG emissions
Pre-Processing None
Name of the Scenario Waste heat recovery
Energy savingsnot estimated
Potential energy savingnot estimated
Emission reductionsnot estimated
Share RE (heat sector)not estimated
Share RE (mobility sector)not estimated
Share RE (power sector)not estimated
Share RE (total energy supply)not estimated
Cost development -
Technological innovations None
Potential wind -
Potential solar electric -
Potential solar thermal -
Potential biomass -
Potential geothermal -
Potential hydro power -
Social developement None
Economic development None
Development of environmental aspects None
Post-processing
Further assumptions for post-processing
Uncertainty assessment No uncertainty analysis has been carried out in this study.
Robustness MILP optimisations lead with OMEGAlpes are developed to be robust and reproducible. If any issue is met with these tools, please indicate them in the Issues section of its gitlab.
Comparability / Validation The aim is not to provide concrete results but to present comprehensive OMEGAlpes capabilities. Energy and exergy models are close to widespread research work (see Fito et al. – DOI: doi: 10.1016/j.seta.2020.100894) Actor package has been developed referring to social research work (see Morriet et al. – DOI: 10.26868/25222708.2019.210472) An article and a corresponding notebook are available in order to get a detailed description of the energy models and equations.
Conclusions One should not deduce any conclusion considering the waste heat recovery from the provided results. Here, the focus is made on a description of the implemented energy models, the creation of a corresponding optimisation model in addition to exergy and social considerations.

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