Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk
The prevalence of peer-to-peer operation among industrial energy hubs is considered a promoting method to enhance local energy autonomy, efficiency, and flexibility. By conducting stochastic programming, this paper aims to minimize the operating cost of multiple industrial energy hubs that trade pow...
Published in: | International Journal of Hydrogen Energy |
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2024
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2-s2.0-85199165942 Alshammari O.; Basem A.; Ghodratallah P.; Agarwal D.; Musa V.A.; Ali S.H.; Ali B.M.; Kassim M.; Jerbi H. Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk 2024 International Journal of Hydrogen Energy 81 10.1016/j.ijhydene.2024.07.203 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199165942&doi=10.1016%2fj.ijhydene.2024.07.203&partnerID=40&md5=65237651696a29d0c666bb400adb0e94 The prevalence of peer-to-peer operation among industrial energy hubs is considered a promoting method to enhance local energy autonomy, efficiency, and flexibility. By conducting stochastic programming, this paper aims to minimize the operating cost of multiple industrial energy hubs that trade power and heat energies with each other and utility. Concerning the important role of hydrogen systems, fuel cell-based combined heat and power (CHP) generators are employed within the hubs to increase sustainability. The presence of electric vehicles (EVs) and shiftable loads enhances the flexibility during peer-to-peer operating mode. The trading price for power and heat energies are derived at first by solving a deterministic problem and considering average values for demands and generation. However, to address the uncertainties in renewable generation, electric and heat demands, and electricity prices under operation, scenario-based stochastic programming tries to optimize the expected objective function. Furthermore, the Conditional Value-at-Risk (CVaR) approach is proposed to provide various risk-averse scheduling tactics and measure the risk of each scenario. The results show that the proposed risk-constrained approach reduces the risk and makes cautious decisions about energy resources and trades. In this regard, the expected profit has been reduced by 75%, i.e., from 1636.78 NOK under a risk-neutral case to 414.97 NOK under a risk-averse case to reduce the expected risk in operating cost. © 2024 Hydrogen Energy Publications LLC Elsevier Ltd 3603199 English Article |
author |
Alshammari O.; Basem A.; Ghodratallah P.; Agarwal D.; Musa V.A.; Ali S.H.; Ali B.M.; Kassim M.; Jerbi H. |
spellingShingle |
Alshammari O.; Basem A.; Ghodratallah P.; Agarwal D.; Musa V.A.; Ali S.H.; Ali B.M.; Kassim M.; Jerbi H. Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk |
author_facet |
Alshammari O.; Basem A.; Ghodratallah P.; Agarwal D.; Musa V.A.; Ali S.H.; Ali B.M.; Kassim M.; Jerbi H. |
author_sort |
Alshammari O.; Basem A.; Ghodratallah P.; Agarwal D.; Musa V.A.; Ali S.H.; Ali B.M.; Kassim M.; Jerbi H. |
title |
Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk |
title_short |
Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk |
title_full |
Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk |
title_fullStr |
Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk |
title_full_unstemmed |
Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk |
title_sort |
Transactive energy framework in fuel cell based multi-carrier energy hubs based on conditional value-at-risk |
publishDate |
2024 |
container_title |
International Journal of Hydrogen Energy |
container_volume |
81 |
container_issue |
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doi_str_mv |
10.1016/j.ijhydene.2024.07.203 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199165942&doi=10.1016%2fj.ijhydene.2024.07.203&partnerID=40&md5=65237651696a29d0c666bb400adb0e94 |
description |
The prevalence of peer-to-peer operation among industrial energy hubs is considered a promoting method to enhance local energy autonomy, efficiency, and flexibility. By conducting stochastic programming, this paper aims to minimize the operating cost of multiple industrial energy hubs that trade power and heat energies with each other and utility. Concerning the important role of hydrogen systems, fuel cell-based combined heat and power (CHP) generators are employed within the hubs to increase sustainability. The presence of electric vehicles (EVs) and shiftable loads enhances the flexibility during peer-to-peer operating mode. The trading price for power and heat energies are derived at first by solving a deterministic problem and considering average values for demands and generation. However, to address the uncertainties in renewable generation, electric and heat demands, and electricity prices under operation, scenario-based stochastic programming tries to optimize the expected objective function. Furthermore, the Conditional Value-at-Risk (CVaR) approach is proposed to provide various risk-averse scheduling tactics and measure the risk of each scenario. The results show that the proposed risk-constrained approach reduces the risk and makes cautious decisions about energy resources and trades. In this regard, the expected profit has been reduced by 75%, i.e., from 1636.78 NOK under a risk-neutral case to 414.97 NOK under a risk-averse case to reduce the expected risk in operating cost. © 2024 Hydrogen Energy Publications LLC |
publisher |
Elsevier Ltd |
issn |
3603199 |
language |
English |
format |
Article |
accesstype |
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record_format |
scopus |
collection |
Scopus |
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1812871793738776576 |