2021
DOI: 10.1016/j.enconman.2021.114670
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Synergies between power and hydrogen carriers using fuel-cell hybrid electrical vehicle and power-to-gas storage as new coupling points

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Cited by 39 publications
(5 citation statements)
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“…(5) Based on the peer-to-peer energy trading [45] and optimization [46] in district community, future studies will explore the dynamic pricing model on peer-to-peer energy trading to maximize the economic benefits, together with advanced energy control strategies for lifecycle performance improvement [47]. Moreover, city-level analysis of solar photovoltaics will be assessed [48] with synergistic functions between hydrogen and power [49], in respect to power potential and price. Economic incentives need to be explored to promote multi-stakeholders to actively participate in the energy sharing network [50,51].…”
Section: Discussionmentioning
confidence: 99%
“…(5) Based on the peer-to-peer energy trading [45] and optimization [46] in district community, future studies will explore the dynamic pricing model on peer-to-peer energy trading to maximize the economic benefits, together with advanced energy control strategies for lifecycle performance improvement [47]. Moreover, city-level analysis of solar photovoltaics will be assessed [48] with synergistic functions between hydrogen and power [49], in respect to power potential and price. Economic incentives need to be explored to promote multi-stakeholders to actively participate in the energy sharing network [50,51].…”
Section: Discussionmentioning
confidence: 99%
“…Ref. [117] presented the optimal function of the combined power and hydrogen networks by taking into account P2G and fuel-cell electric vehicles as coupling points to optimise daily profit. The wind and solar fluctuations were modelled using a probabilistic approach based on a Monte Carlo simulation.…”
Section: P2g Technologymentioning
confidence: 99%
“…If δ s,t is equal to zero in interval t, it means that there is no uncertainty in electricity market price in that interval, while δ s,t = 1 demonstrates that price fluctuations are wholly accounted for period t. The robustness degree of the optimization problem, that is, δ s,t , can be controlled by the budget of uncertainty, that is, Γ. Based on the presented set in ( 6) and (7) for market price uncertainty, the cost of purchasing power from the upper grid, which is the fifth term of OF 1 , can be rewritten as a hybrid stochastic-robust model, which is expressed as (8). As given in (9), after applying the robust approach, the distribution network operator faces a bilevel min-max optimization problem.…”
Section: Total Operating Cost Minimizationmentioning
confidence: 99%
“…The utilization of RESs as the eco‐friendly production source for hydrogen‐based energy hubs in the context of stochastic and/or robust optimization programs has been widely welcomed, which were influenced by different uncertain characteristics 7 . In Chen et al, 8 a day‐ahead centralized energy management approach for hydrogen‐based energy hubs has been designed to maximize daily profit. In the same work, the electrolyzer was considered as the main coupling point and the probabilistic methods were used to handle the scheduling problem.…”
Section: Introductionmentioning
confidence: 99%