International Journal of Hydrogen Energy, Год журнала: 2023, Номер 49, С. 907 - 924
Опубликована: Окт. 17, 2023
Язык: Английский
International Journal of Hydrogen Energy, Год журнала: 2023, Номер 49, С. 907 - 924
Опубликована: Окт. 17, 2023
Язык: Английский
International Journal of Hydrogen Energy, Год журнала: 2024, Номер 76, С. 75 - 96
Опубликована: Фев. 28, 2024
Язык: Английский
Процитировано
59Applied Energy, Год журнала: 2024, Номер 370, С. 123645 - 123645
Опубликована: Июнь 10, 2024
Язык: Английский
Процитировано
20Journal of Cleaner Production, Год журнала: 2023, Номер 435, С. 140476 - 140476
Опубликована: Дек. 30, 2023
This study presents a technoeconomic analysis of renewables-based hydrogen production in Queensland, Australia under Optimistic, Reference and Pessimistic scenarios to address uncertainty cost predictions. The goal the work was ascertain if target fam-gate AUD 3/kg (approx. USD 2/kg) could be reached. Economies scale learning rate concept were factored into economic model account for effect scale-up reductions as electrolyser manufacturing capacity grows. assumes that small-scale large-scale wind turbine (WT)-based photovoltaic (PV)-based power generation plants are directly coupled with an array utilises hourly data Gladstone hydrogen-hub region. Employing first commonly used simplified approach, sized based on maximum available production. initial results indicated is very beneficial: levelised green (LCOH) decrease by 49% from $6.1/kg $3.1/kg when scaling PV-based plant 10 MW 1 GW, WT-based 36% $5.8/kg $3.7/kg. Then, impacts LCOH incorporating curtailment ineffective peak overload investigated shown significant. Also significant beneficial recognising efficiency depends input power. latter two factors have mostly been overlooked literature. Incorporating influence real-world operational characteristics overcomes shortcoming sizing method, namely large portion under-utilised, leading unnecessarily high values LCOH. It found achievable properly sized, which should help incentivise renewable projects elsewhere.
Язык: Английский
Процитировано
30Process Safety and Environmental Protection, Год журнала: 2024, Номер 186, С. 921 - 932
Опубликована: Апрель 17, 2024
Язык: Английский
Процитировано
15Applied Energy, Год журнала: 2024, Номер 374, С. 124030 - 124030
Опубликована: Авг. 1, 2024
Given the urgent need to accelerate all renewable energy capacities for hydrogen production, this study undertakes a techno-economic analysis of dynamic production using offshore wind under "slow progress" and "fast scenarios. To ensure reliable power generation profile avoid overestimating output power, takes into account significant impacts air density plant-level losses, including wake effect turbine performance losses. The economic modelling incorporates costs associated with turbines, foundations, submarine connections, substations, installations. For system electrolysis, power-dependent efficiency representing PEM technology is employed. reflect influences realistic project on estimation levelised cost (LCOH), economies scale learning rate models are incorporated. Australian locations selected as case implementing model because enormous available resource. findings indicate that variable nature input has meaningful impact yearly average consumption electrolysis system. Comparing scenarios, it becomes evident rapid scaling up required achieve cost-competitive LCOH in coming decades. Should interest rates thus capital return levels closer pre-pandemic levels, level below AUD3/kg (USD2/kg) can be achieved scenario two by around 2040.
Язык: Английский
Процитировано
13Sustainable Production and Consumption, Год журнала: 2024, Номер 46, С. 655 - 678
Опубликована: Март 22, 2024
Unlocking the potential of offshore renewables for green hydrogen (GH2) production can be a game-changer, empowering economies with their visionary clean energy policies, amplifying security, and promoting economic growth. However, novelty entails uncertainty risk, necessitating robust framework facility deployment infrastructure planning. To optimize GH2 placement, this work proposes novel GIS-based multi-criteria decision-making (MCDM) framework. Encompassing thirty-two techno-socio-economic-safety factors ocean environmental impact analysis methodology facilitates informed sustainable safe development. Utilizing synergies between wind solar resources, study investigates hybrid technologies to enhance space utilization efficiency. illustrate practical application proposed framework, case examining system in Australia's marine region its nexus nearby industries has been conducted. The performed life cycle assessment (LCA) explored various configurations production, storage, transportation technologies. A Bayesian objective weight integrating technique introduced contrasted statistically CRITIC, Entropy, MEREC MARCOS-based MCDM approaches. Various locations are ranked based on net present value cost, capacity, availability, environment sustainability factors, illustrating compatibility. sensitivity is conducted confirm that approach improves outcomes through identifying optimal criteria weights alternative ranks more effectively. Empowering strategic decisions globally, optimizes performances, sustainability, safety, excelling harsh environments.
Язык: Английский
Процитировано
11Energy Conversion and Management, Год журнала: 2024, Номер 306, С. 118326 - 118326
Опубликована: Март 23, 2024
Язык: Английский
Процитировано
10Renewable Energy, Год журнала: 2024, Номер unknown, С. 121507 - 121507
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
10Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(5), С. 774 - 774
Опубликована: Май 5, 2024
Oceanic energy sources, notably offshore wind and wave power, present a significant opportunity to generate green hydrogen through water electrolysis. This approach allows for production, which can be efficiently transported existing pipelines stored in various forms, offering versatile solution tackle the intermittency of renewable sources potentially revolutionize entire electrical grid infrastructure. research focusses on assessing technical economic feasibility this method six strategic coastal regions Morocco: Laayoune, Agadir, Essaouira, Eljadida, Casablanca Larache. Our proposed system integrates turbines, oscillating column converters, PEM electrolyzers, meet demands while aligning with global sustainability objectives. Significant electricity production estimates are observed across these regions, ranging from 14 MW 20 MW. Additionally, encouraging annual varying between 40 tonnes specific locations, showcase potential approach. The system’s performance demonstrates promising efficiency rates, 13% 18%, maintaining competitive costs. These findings underscore ability oceanic energy-driven diversify Morocco’s portfolio, bolster resilience, foster sustainable development. Ultimately, lays groundwork comprehensive policies substantial infrastructure investments, positioning Morocco trajectory towards decarbonized future powered by innovative clean technologies.
Язык: Английский
Процитировано
8International Journal of Hydrogen Energy, Год журнала: 2024, Номер unknown
Опубликована: Июнь 1, 2024
The necessity of energy solutions that are economically viable, ecologically sustainable and environmentally friendly has become fundamental to economic societal advancement nations. In this context, renewable sources emerge as the most vital component. Furthermore, hydrogen generation systems based on energies increasingly recognized crucial strategies mitigate global warming. present study, a comparative analysis is conducted from an exergy-economic perspective find efficient configuration among three different for renewable-based power production. These wind turbine, salinity gradient solar pond (SGSP), ocean thermal conversion (OTEC). SGSP OTEC coupled with production unit by trilateral cycle (TLC) improve temperature match heating process. heat waste within these recovered thermoelectric generator (TEG), proton exchange membrane electrolyzer (PEME) used Under base case input conditions, net PEME estimated be approximately 327.8 kW across all configurations. Additionally, 3E (energy, exergy, exergy-economic) performance evaluated parametric study design optimization. results best reveal exergy efficiency achievable wind-based system in range 5.8–10.47% average speed 8–12 m/s. Correspondingly, favorable total cost rate attributed at 8 m/s, equating 66.08 USD/h. Subsequently, SGSP-based economical, ranging 42.78 44.31 USD/GJ.
Язык: Английский
Процитировано
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