Multi-Actor Modelling For MILP Energy Systems Optimisation: Application To Collective Self-Consumption

Abstract

The shape of an energy project depends on the available technologies but also on stakeholders' decisions although most energy-support-decision tools only focus on technical issues. This article aims to propose a multi-actor modelling based on stakeholders' objectives and constraints and to apply it on the optimisation model generation tool OMEGAlpes. This modelling aims to help stakeholders to formalise their constraints and objectives and to negotiate them in a multi-stakeholders design process. Two types of stakeholders involved in urban renewable energy project have been highlighted: operators and infrastructure regulators. This modelling has been applied to a simplified collective selfconsumption project.

Flexible waste heat management and recovery for an electro-intensive industrial process through energy/exergy criteria

“…The LNCMI being a public research large instrument, its data and operation can be used as a representative use case for the waste heat recovery of electro-intensive industrial processes. Various studies have been carried out for the LNCMI waste heat recovery project: ▪ Planning laboratory experiments under environmental, economic or social constraints [5] ▪ Studying the flexibility of the LNCMI consumption profiles based on the identification of typical experiments [6] ▪ Multi-actor optimisation applied to the LNCMI waste heat recovery project [7] ▪ Studying the influence of the thermo-hydraulics of the LNCMI electromagnet cooling system on the LNCMI economic and environmental balance [8] ▪ Optimisation based on energy and exergy criteria [9,10] ▪ Developing open science on the LNCMI use case [11] These studies enabled to address various typical issues for waste heat recovery, applied to the LNCMI use case. Regarding the flexibility of the LNCMI experimental planning, and therefore of waste heat production, lessons learned point to the great difficulty in categorising the LNCMI experiments.…”

OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale

“…The modelling of social aspects such as policy constraints [15] or stakeholders' objectives and area of responsibility can help negotiation phases in a multi-stakeholder design process [67]. Since energy modelling and policy making influence each other, transdisciplinary models and practices as well as transparency are needed to develop common and useful tools for society [68].…”

“…OMEGAlpes offers a library of models associated with the "multi-actor" approach through the actor package [67]. An explicit actor model aims to differentiate technical issues from stakeholder-induced issues and to differentiate the decisions made by the stakeholders.…”

Maestro: A Python library for multi-carrier energy district optimal control design

“…They are often powered by optimization models and solvers. For example, Artelys Crystal Energy Planner and DER-CAM are proprietary tools, while ficus [11] and OMEGAlpes [12] are open-source tools. Few tools with a focus on control are available.…”