Available on ORBi since
24 February 2023
Eprint first made available on ORBi (E-prints, working papers and research blog)
Multi-objective near-optimal necessary conditions for multi-sectoral planning
Dubois, Antoine; Dumas, Jonathan; Thiran, Paolo et al.
2023
 

Files


Full Text
dubois_antoine_multi_criteria_epsilon_optimality_accepted.pdf
Author preprint (779.95 kB)

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Energy system modelling; multi-objective optimisation; multi-sectoral planning; near-optimality; necessary condition; suboptimal space
Abstract :
[en] In the energy transition context, restructuring energy systems and making informed decisions on the optimal energy mix and technologies is crucial. Energy system optimisation models (ESOMs) are commonly used for this purpose. However, their focus on cost minimisation limits their usefulness in addressing other factors like environmental sustainability and social equity. Moreover, by searching for only one global optimum, they overlook diverse alternative solutions. This paper aims to overcome these limitations by exploring near-optimal spaces in multi-objective optimisation problems, providing valuable insights for decision-makers. The authors extend the concepts of epsilon-optimality and necessary conditions to multi-objective problems. They apply this methodology to a case study of the Belgian energy transition in 2035 while considering both cost and energy invested as objectives. The results reveal opportunities to reduce dependence on endogenous resources while requiring substantial reliance on exogenous resources. They demonstrate the versatility of potential exogenous resources and provide insights into objective trade-offs. This paper represents a pioneering application of the proposed methodology to a real-world problem, highlighting the added value of near-optimal solutions in multi-objective optimisation. Future work could address limitations, such as approximating the epsilon-optimal space, investigating parametric uncertainty, and extending the approach to other case studies and objectives, enhancing its applicability in energy system planning and decision-making.
Research center :
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège
Disciplines :
Energy
Author, co-author :
Dubois, Antoine  ;  Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Dumas, Jonathan;  Réseau de transport d'électricité [FR] > Recherche et Développement
Thiran, Paolo;  UCL - Catholic University of Louvain [BE] > Institute of Mechanics
Limpens, Gauthier;  UCL - Catholic University of Louvain [BE] > Institute of Mechanics
Ernst, Damien  ;  Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Language :
English
Title :
Multi-objective near-optimal necessary conditions for multi-sectoral planning
Publication date :
2023
Edition :
2ème révision
Number of pages :
23
Development Goals :
7. Affordable and clean energy
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]

Statistics


Number of views
207 (26 by ULiège)
Number of downloads
122 (9 by ULiège)

Bibliography


Similar publications



Contact ORBi