Impact of wind speed distribution and management strategy on hydrogen production from wind energy

Liponi, Angelica; Frate, Guido Francesco; Baccioli, Andrea; Ferrari, Lorenzo; Desideri, Umberto

doi:10.1016/j.energy.2022.124636

Cited by 21 publications

(3 citation statements)

References 20 publications

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“…Given the interconnected nature of the system, it is imperative to account for the revenue generated by exporting electricity to the grid, as expressed in (14). Nonetheless, it should be noted that the selling price of electricity to the grid is typically subject to temporal variations and tends to be significantly lower than the purchasing price.…”

Section: Dual-stage Optimization Scheduling Modelmentioning

confidence: 99%

“…Treating these factors as components of a multi-objective optimization problem is a more appropriate approach. By incorporating multiple objectives, the optimization framework can better capture the complex trade-offs and interdependencies among different operational aspects, leading to more comprehensive and effective decision-making strategies [14].…”

Section: Introductionmentioning

confidence: 99%

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Dual-Stage Optimization Scheduling Model for a Grid-Connected Renewable Energy System with Hybrid Energy Storage

Lu,

Peng,

Sun

2024

Energies

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To operate the grid-connected renewable energy system economically, this study presents a dual-stage optimization scheduling model for grid-connected systems with hybrid energy storage, including day-ahead and intra-days stages. In the day-ahead stage, an economically optimal scheduling model is developed, considering the price peak-to-valley difference. This model aims to enhance the economic efficiency of the system by utilizing hybrid energy storage. In the intra-day stage, more accurate renewable energy forecasts with a shorter time scale are considered. The objectives are to minimize the curtailment rate of renewable energy and to track the day-ahead scheduling outcomes. The NSGA-II algorithm is employed for multi-objective optimization, achieving equilibrium solutions considering multiple optimization objectives. Compared to other published works, the proposed model achieves a balance between different optimization objectives, enabling the system to operate economically and stably. It provides a comprehensive approach to optimize the scheduling of grid-connected systems with hybrid energy storage by considering both economic and operational aspects. Overall, this proposed dual-stage optimization model presents a viable approach to improve economic efficiency and mitigate renewable energy curtailment in grid-connected systems. By effectively integrating renewable energy sources and optimizing their utilization, this model contributes to enhancing the sustainability and optimal operation of the power grid.

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Section: Dual-stage Optimization Scheduling Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dual-Stage Optimization Scheduling Model for a Grid-Connected Renewable Energy System with Hybrid Energy Storage

Lu,

Peng,

Sun

2024

Energies

View full text Add to dashboard Cite

show abstract

“…The choice of the electrolyzer size should be a trade-off between the maximization of hydrogen production and the needs of limiting shutdowns and having sufficiently high electrolyzer utilization factors to minimize the specific production costs. The possibility of adopting an electric storage [9] and/or grid-electricity support [10] to mitigate wind variability has also been investigated. On one side, by allowing grid support, the electrolyzer operation can be more continuous and annual operating hours are increased, resulting in a reduction of specific production costs.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling of a Power-To-Gas System for Green Methane Production from Wind Energy

Ferrari,

Pignataro,

Liponi

et al. 2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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Despite the impact of global warming on the living conditions of the Earth, fossil fuels still dominate the global energy scenario. The precariousness of our energy system requires the use of more reliable and less polluting energy sources, but a greater penetration of intermittent renewables implies the need for large-scale flexible energy storage. This need, combined with the growing interest in the use of hydrogen in mobility and industry, makes the prospect of including this energy vector in our daily lives tangible. However, the problems related to the development of dedicated infrastructures make its positioning on the market complex. In a transition phase, power-to-gas systems constitute an emerging solution that allows the use of existing structures for natural gas and, at the same time, solves the problem of hydrogen storage. In this study, a power-to-gas system producing synthetic methane from wind energy was modelled. Management strategies for both the electrolysis system and the hydrogen storage tank were tested to assess the flexibility and versatility of the system. Particular attention was dedicated to the analysis of the impact of the storage on the mitigation of the operating condition fluctuation of the methanation unit. Results of the simulations showed similar performances of the four electrolyzers and a limited number of methanation unit shutdowns. Nevertheless, the annual utilization factor of the subsystems was low, and this suggests a further investigation of the subsystems' sizing. Overall, the effectiveness of the management strategies developed for the power-to-methane system makes the proposed model a good instrument to be used for further analysis and evaluations.

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Unveiling Afghanistan’s wind and hydrogen potential: a comparative study

Mostafaeipour,

Mishra,

2024

Environ Sci Pollut Res

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Impact of wind speed distribution and management strategy on hydrogen production from wind energy

Cited by 21 publications

References 20 publications

Dual-Stage Optimization Scheduling Model for a Grid-Connected Renewable Energy System with Hybrid Energy Storage

Dual-Stage Optimization Scheduling Model for a Grid-Connected Renewable Energy System with Hybrid Energy Storage

Dynamic Modeling of a Power-To-Gas System for Green Methane Production from Wind Energy

Unveiling Afghanistan’s wind and hydrogen potential: a comparative study

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