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Industrial Optimal Operation Planning with Financial and Ecological Objectives

Topics: Case Studies and Innovative Applications for Smart(Er) Cities; Case Studies, Business Models and Innovative Applications for Smart(er) Cities; Frameworks and Models for Smart City Initiatives; Optimization approaches; Optimization Techniques for Efficient Energy Consumption; Urban Monitoring and Optimization

Authors: Camille Pajot 1 ; Benoit Delinchant 1 ; Yves Maréchal 1 ; Frederic Wurtz 1 ; Lou Morriet 1 ; Benjamin Vincent 2 and François Debray 2

Affiliations: 1 Univ. Grenoble Alpes, CNRS, Grenoble INP and G2Elab, France ; 2 CNRS and LNCMI, France

ISBN: 978-989-758-292-9

Keyword(s): Energy Planning, MILP Optimization, District, Energy Efficiency, CO2 Emissions.

Abstract: As energy transition is fundamental to have a chance to fight climate change, every stakeholder concerned by energy should be able to get a better knowledge of the consequences of these actions. However, it could be very complex to understand energy problematics without being an expert. This article focuses on giving the possibility to an energy intensive consumer of a district to make decisions about its energy planning while taking into account its specific operating constraints. A practical case has been studied in a heat recovery project to help the experiments planning of a research laboratory according to the thermal needs of the district. At first, the energy planning only aims to reduce its electricity consumption bill. In a second time, we consider re-using the thermal power from processes cooling. Then, two energy planning were realised: reducing district CO2 emissions and reducing district supply cost. Finally, trade-offs between these two goals have been studied. The work is based on mixed-integer linear optimization models (MILP) gathered into a Python library to provide a modular decisions tool for energy stakeholders. (More)

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Paper citation in several formats:
Pajot, C.; Delinchant, B.; Maréchal, Y.; Wurtz, F.; Morriet, L.; Vincent, B. and Debray, F. (2018). Industrial Optimal Operation Planning with Financial and Ecological Objectives.In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-292-9, pages 214-222. DOI: 10.5220/0006705202140222

@conference{smartgreens18,
author={Camille Pajot. and Benoit Delinchant. and Yves Maréchal. and Frederic Wurtz. and Lou Morriet. and Benjamin Vincent. and Fran\c{C}ois Debray.},
title={Industrial Optimal Operation Planning with Financial and Ecological Objectives},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2018},
pages={214-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006705202140222},
isbn={978-989-758-292-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Industrial Optimal Operation Planning with Financial and Ecological Objectives
SN - 978-989-758-292-9
AU - Pajot, C.
AU - Delinchant, B.
AU - Maréchal, Y.
AU - Wurtz, F.
AU - Morriet, L.
AU - Vincent, B.
AU - Debray, F.
PY - 2018
SP - 214
EP - 222
DO - 10.5220/0006705202140222

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