Study

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

Empirical Data

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

Assumptions

Energy savings	not estimated
Potential energy saving	not estimated
Emission reductions	not 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

Results

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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