Operation and Planning of Energy Hubs Under Uncertainty-A Review of Mathematical Optimization Approaches
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10253740" target="_blank" >RIV/61989100:27240/23:10253740 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10018381" target="_blank" >https://ieeexplore.ieee.org/document/10018381</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2023.3237649" target="_blank" >10.1109/ACCESS.2023.3237649</a>
Alternative languages
Result language
angličtina
Original language name
Operation and Planning of Energy Hubs Under Uncertainty-A Review of Mathematical Optimization Approaches
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
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Volume of the periodical
11
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
21
Pages from-to
7208-7228
UT code for WoS article
000922819400001
EID of the result in the Scopus database
2-s2.0-85147296771