Technical, economic and environmental issues related to electrolysers capacity targets according to the Italian Hydrogen Strategy: A critical analysis

Pastore, Lorenzo Mario; Basso, Gianluigi Lo; Sforzini, Matteo; Santoli, Livio de

doi:10.1016/j.rser.2022.112685

Cited by 51 publications

(12 citation statements)

References 65 publications

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“…Hydrogen energy has various advantages, such as large storage capacity, low pollution, and high efficiency. It is an ideal new energy source for Italy to achieve carbon neutrality (Pastore et al 2022 ).…”

Section: Resultsmentioning

confidence: 99%

Multi-step prediction of carbon emissions based on a secondary decomposition framework coupled with stacking ensemble strategy

Zhang

Ling

Zeng

et al. 2023

Environ Sci Pollut Res

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Accurate prediction of carbon emissions is vital to achieving carbon neutrality, which is one of the major goals of the global effort to protect the ecological environment. However, due to the high complexity and volatility of carbon emission time series, it is hard to forecast carbon emissions effectively. This research offers a novel decomposition-ensemble framework for multi-step prediction of short-term carbon emissions. The proposed framework involves three main steps: (i) data decomposition. A secondary decomposition method, which is a combination of empirical wavelet transform (EWT) and variational modal decomposition (VMD), is used to process the original data. (ii) Prediction and selection: ten models are used to forecast the processed data. Then, neighborhood mutual information (NMI) is used to select suitable sub-models from candidate models. (iii) Stacking ensemble: the stacking ensemble learning method is innovatively introduced to integrate the selected sub-models and output the final prediction results. For illustration and verification, the carbon emissions of three representative EU countries are used as our sample data. The empirical results show that the proposed framework is superior to other benchmark models in predictions 1, 15, and 30 steps ahead, with the mean absolute percentage error (MAPE) of the proposed framework being as low as 5.4475% in Italy dataset, 7.3159% in France dataset, and 8.6821% in Germany dataset.

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Section: Resultsmentioning

confidence: 99%

Multi-step prediction of carbon emissions based on a secondary decomposition framework coupled with stacking ensemble strategy

Zhang

Ling

Zeng

et al. 2023

Environ Sci Pollut Res

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“…In detail, the use of the Levelized Cost of Energy (LCOE) [45] is common. However, it has also often been used to evaluate the Levelized Cost of Hydrogen (LCOH) [46] or the Levelized Cost of Storage (LCOS) [47].…”

Section: Technical and Economic Indicatorsmentioning

confidence: 99%

Power-to-Methane to Integrate Renewable Generation in Urban Energy Districts

2022

Self Cite

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The deployment of distributed energy systems must take place paying attention to the self-consumption of renewable generation. Innovative sector coupling strategies can play that role linking local electricity and gas grids. The present work aims to evaluate the energy and economic feasibility of the Power-to-Methane strategy application in urban energy districts. A residential cluster was considered as a case study. Two PV configurations have been applied to evaluate the Substitute Natural Gas (SNG) production under different renewable excess conditions. Thereafter, the Power-to-Methane strategy was implemented by varying the system’s size. Some significant configurations have been compared to each other in terms of energy and economics. Beyond a certain threshold limit, an increase in the photovoltaic size slightly enhances the effectively self-consumed energy. The Power-to-Methane strategy can exploit all the renewable excess once the system is properly sized, almost doubling the potential energy consumption reduction compared to the PV system alone. The SNG production cost is between 100 and 200 EUR/MWh in most configurations, which is competitive with the high natural gas prices on the European market. Therefore, decentralised SNG production can reduce the households’ annual expenditures and it can mitigate the energy poverty conditions over the current energy crisis period.

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“…Despite this, the mode would not require any management strategy, and additional objectives, but with lower priority with respect to the main one, should be actually addressed. For instance, the problem of external electricity consumers, optimal electric demand tracking, and participation to the electricity market via hydrogen re-electrification can be still kept also in the case of fuel production [27], [28]. A new supervisory-based model for the optimal scheduling of distributed HESS fueling stations for tracking the external consumers of hydrogen and electricity has been provided in [29].…”

Section: Introductionmentioning

confidence: 99%

A Unified Control Platform and Architecture for the Integration of Wind-Hydrogen Systems Into the Grid

Abdelghany

Mariani

Liuzza

et al. 2024

IEEE Trans. Automat. Sci. Eng.

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Hydrogen is a promising energy vector for achieving renewable integration into the grid, thus fostering the decarbonization of the energy sector. This paper presents the control platform architecture of a real hydrogen-based energy production, storage, and re-electrification system (HESS) paired to a wind farm located in north Norway and connected to the main grid. The HESS consists of an electrolyser, a hydrogen tank, and a fuel cell. The control platform includes the management software, the control algorithms, and the automation technologies operating the HESS in order to address the three use cases (electricity storage, mini-grid, and fuel production) identified in the IEA-HIA Task24 final report, that promote the integration of wind energy into the main grid. The control algorithms have been already developed by the same authors in other papers using mixed-logical dynamical modeling, and implemented via a two-layer model predictive control scheme for each use case, and are quickly introduced in order to make evident their integration into the presented architecture. Simulation test runs with real equipment data, wind generation, load profiles, and market prices are also reported so as to highlight the control platform performances.Note to Practitioners-The paper develops the integration between the management platform of a HESS, paired to a real wind farm in northern Norway, and the control algorithms aimed at scheduling hydrogen production and re-electrification on the basis of several forecast streams about exogenous conditions and different possible operating modes of the wind-hydrogen system.

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Technical, economic and environmental issues related to electrolysers capacity targets according to the Italian Hydrogen Strategy: A critical analysis

Cited by 51 publications

References 65 publications

Multi-step prediction of carbon emissions based on a secondary decomposition framework coupled with stacking ensemble strategy

Multi-step prediction of carbon emissions based on a secondary decomposition framework coupled with stacking ensemble strategy

Power-to-Methane to Integrate Renewable Generation in Urban Energy Districts

A Unified Control Platform and Architecture for the Integration of Wind-Hydrogen Systems Into the Grid

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