Operation and Planning of Energy Hubs Under Uncertainty - a Review of Mathematical Optimization Approaches
Journal article, 2023

Co-designing energy systems across multiple energy carriers is increasingly attracting attention of researchers and policy makers, since it is a prominent means of increasing the overall efficiency of the energy sector. Special attention is attributed to the so-called energy hubs, i.e., clusters of energy communities featuring electricity, gas, heat, hydrogen, and also water generation and consumption facilities. Managing an energy hub entails dealing with multiple sources of uncertainty, such as renewable generation, energy demands, wholesale market prices, etc. Such uncertainties call for sophisticated decision-making techniques, with mathematical optimization being the predominant family of decision-making methods proposed in the literature of recent years. In this paper, we summarize, review, and categorize research studies that have applied mathematical optimization approaches towards making operational and planning decisions for energy hubs. Relevant methods include robust optimization, information gap decision theory, stochastic programming, and chance-constrained optimization. The results of the review indicate the increasing adoption of robust and, more recently, hybrid methods to deal with the multi-dimensional uncertainties of energy hubs.

multi-carrier energy systems

Programming

Resistance heating

Stochastic processes

chance constrained

uncertainty

Energy hub

IGDT

Heat pumps

Energy management

Trigeneration

mathematical optimization

stochastic programming

Optimization

robust optimization

Uncertainty

Author

Michal Jasinski

Wrocław University of Science and Technology

Arsalan Najafi

Wrocław University of Science and Technology

Omid Homaee

Wrocław University of Science and Technology

Mostafa Kermani

Chalmers, Electrical Engineering, Electric Power Engineering

Georgios Tsaousoglou

Technical University of Denmark (DTU)

Zbigniew Leonowicz

Wrocław University of Science and Technology

Tomas Novak

Vysoká škola báňská - Technical University of Ostrava

IEEE Access

2169-3536 (ISSN) 21693536 (eISSN)

Vol. 11 7208-7228

Subject Categories

Other Environmental Engineering

Energy Systems

Marine Engineering

DOI

10.1109/ACCESS.2023.3237649

More information

Latest update

3/7/2024 9