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Demand Side Management A model driven approach to promote energy self-consumption

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HAL Id: hal-02317918

https://hal.archives-ouvertes.fr/hal-02317918

Submitted on 16 Oct 2019

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Demand Side Management A model driven approach to promote energy self-consumption

Alexandre Rio, Yoann Maurel, Olivier Barais, Yoran Bugni

To cite this version:

Alexandre Rio, Yoann Maurel, Olivier Barais, Yoran Bugni. Demand Side Management A model driven approach to promote energy self-consumption. Colloque de l’institut Mines Télécom, Jun 2018, Rennes, France. �hal-02317918�

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Case study: Industrial site self-consumption

Self-consumption of renewable energies is defined as electricity that is produced from renewable energy sources

The autonomy of sites with micro-generation capabilities is greatly increased by self-consumption of locally produced energy

One of the keys is thus to align production and consumption either by planning processes differently or by relying on storage capabilities.

Help for “What-if“/ “what-for” questions:

- How to size local renewable energy production units or storage to meet a site's energy consumption

- Which region would be the most interesting for the expansion of a business?

- What organization of activities enables the best autonomy and self- consumption?

Demand Side Management

A model driven approach to promote energy self-consumption

Proposal: Simulator and Domain Language

Model Driven Engineering (MDE) approach to address variability

Energy Management System (EMS) in simulation or using real sensors

Domain Specific Language (DSL) to represent an industrial site - Production, consumption, storage

- Activities and constrains modeling

Description files are used by a simulator.

Simulator can be extended by experts, through plugins, to model complex devices behavior

Experiences

Evaluation: Activity shift recommendations

Simulator can use third-party prediction to estimate future events: solar production, device usage

Recommend actions based on context: battery state, user activity to optimize autonomy and self-consumption

Take into account process constrains and flexibility and battery cycle usage

Improve autonomy from 30% to 50% or 70%

Stakeholders

Authors

Agricultural exploitation using solar tracker Credit: GAEC du Faisan

Simplified version of our metamodel

Contact : alexandre.rio@irisa.fr

Juin 2018 Colloque de l’Institut Mines Técom Paris

Alexandre RIO Yoann MAUREL Olivier BARAIS Yoran BUGNI

Shifting of an activity to increase the autonomy fo the day from 9% to 20%

Références

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