Assessing the effectiveness of hydrogen pathways: A techno-economic optimisation within an integrated energy system

Bellocchi, Sara; Colbertaldo, Paolo; Manno, Michele; Nastasi, Benedetto

doi:10.1016/j.energy.2022.126017

Cited by 41 publications

(4 citation statements)

References 40 publications

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“…Considering the environmental benefits of green hydrogen emissions, hydrogen production pathways will have different cost values [89]. The techno-economic optimization of electric hydrogen systems aimed at minimizing economic costs [90], optimization of the HSC design with integrated consideration of the environment and economy [91], and the techno-economic optimization of hydrogen substitution for traditional energy sources after integrating it into the energy system [92,93] have advanced the optimal application of green hydrogen decarbonization pathway options, increasing the economic value of green hydrogen emission reduction.…”

Section: Technoeconomic Factorsmentioning

confidence: 99%

Greenhouse Gas Reduction Potential and Economics of Green Hydrogen via Water Electrolysis: A Systematic Review of Value-Chain-Wide Decarbonization

Du,

Yang,

Zhou

et al. 2024

Sustainability

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Green hydrogen generated via water electrolysis has become an essential energy carrier for achieving carbon neutrality globally because of its versatility in renewable energy consumption and decarbonization applications in hard-to-abate sectors; however, there is a lack of systematic analyses of its abatement potential and economics as an alternative to traditional technological decarbonization pathways. Based on bibliometric analysis and systematic evaluation methods, this study characterizes and analyzes the literature on the Web of Science from 1996 to 2023, identifying research hotspots, methodological models, and research trends in green hydrogen for mitigating climate change across total value chain systems. Our review shows that this research theme has entered a rapid development phase since 2016, with developed countries possessing more scientific results and closer partnerships. Difficult-to-abate sectoral applications and cleaner production are the most famous value chain links, and research hotspots focus on three major influencing factors: the environment; techno-economics; and energy. Green hydrogen applications, which include carbon avoidance and embedding to realize carbon recycling, have considerable carbon reduction potential; however, uncertainty limits the influence of carbon reduction cost assessment indicators based on financial analysis methods for policy guidance. The abatement costs in the decarbonization sector vary widely across value chains, electricity sources, baseline scenarios, technology mixes, and time scenarios. This review shows that thematic research trends are focused on improving and optimizing solutions to uncertainties, as well as studying multisectoral synergies and the application of abatement assessment metrics.

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Section: Technoeconomic Factorsmentioning

confidence: 99%

Greenhouse Gas Reduction Potential and Economics of Green Hydrogen via Water Electrolysis: A Systematic Review of Value-Chain-Wide Decarbonization

Du,

Yang,

Zhou

et al. 2024

Sustainability

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“…First, a beam array of light was produced over the transmitter using two different multiple laser-sensor combinations. Second, a similar type of technology was also introduced; a reflecting mesh covered the transmitter, with two high-quality reflecting mirrors and two identical combinations of laser-detectors, which were used and utilized [229][230][231]. The configuration was presented in the suggested method of the laser-sensor-based detection system.…”

Section: Lod Detection Prototype Implementationmentioning

confidence: 99%

Challenges and Barriers of Wireless Charging Technologies for Electric Vehicles

et al. 2023

Self Cite

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Electric vehicles could be a significant aid in lowering greenhouse gas emissions. Even though extensive study has been done on the features and traits of electric vehicles and the nature of their charging infrastructure, network modeling for electric vehicle manufacturing has been limited and unchanging. The necessity of wireless electric vehicle charging, based on magnetic resonance coupling, drove the primary aims for this review work. Herein, we examined the basic theoretical framework for wireless power transmission systems for EV charging and performed a software-in-the-loop analysis, in addition to carrying out a performance analysis of an EV charging system based on magnetic resonance. This study also covered power pad designs and created workable remedies for the following issues: (i) how power pad positioning affected the function of wireless charging systems and (ii) how to develop strategies to keep power efficiency at its highest level. Moreover, safety features of wireless charging systems, owing to interruption from foreign objects and/or living objects, were analyzed, and solutions were proposed to ensure such systems would operate as safely and optimally as possible.

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“…Multiple research issues have emerged in recent years due to the necessity to make the "Great Reconfiguration" happen in practice at an accelerated pace. Examples include the issue of creating a participatory energy transition considering energy democracy and energy citizenship problems [2], the potential conflict between a rapid and inclusive energy transition process [3] as well as the need for skills deployment to enable a "just" transition [4], and the socio-technical problem of designing energy communities [5] which need to operate in different ways compared to traditional solutions [6] and that can be used as a means to foster technological innovation [7], while considering the issue of Energies 2024, 17, 881 2 of 22 techno-economic optimisation [8] of potential design solutions. At the same time, the use of empirically grounded data-driven technology forecasts [9] and energy analytics [10] for planning and policies is becoming more and more necessary to turn data into actions.…”

Section: Introductionmentioning

confidence: 99%

Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps

Manfren,

Gonzalez-Carreon,

James

2024

Energies

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Technological improvements are crucial for achieving decarbonisation targets and addressing the impacts of climate change in the built environment via mitigation and adaptation measures. Data-driven methods for building performance prediction are particularly important in this regard. Nevertheless, the deployment of these technologies faces challenges, particularly in the domains of artificial intelligence (AI) ethics, interpretability and explainability of machine learning (ML) algorithms. The challenges encountered in applications for the built environment are amplified, particularly when data-driven solutions need to be applied throughout all the stages of the building life cycle and to address problems from a socio-technical perspective, where human behaviour needs to be considered. This requires a consistent use of analytics to assess the performance of a building, ideally by employing a digital twin (DT) approach, which involves the creation of a digital counterpart of the building for continuous analysis and improvement. This paper presents an in-depth review of the critical connections between data-driven methods, AI ethics, interpretability and their implementation in the built environment, acknowledging the complex and interconnected nature of these topics. The review is organised into three distinct analytical levels: The first level explores key issues of the current research on the interpretability of machine learning methods. The second level considers the adoption of interpretable data-driven methods for building energy modelling and the problem of establishing a link with the third level, which examines physics-driven grey-box modelling techniques, in order to provide integrated modelling solutions. The review’s findings highlight how the interpretability concept is relevant in multiple contexts pertaining to energy and the built environment and how some of the current knowledge gaps can be addressed by further research in the broad area of data-driven methods.

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Assessing the effectiveness of hydrogen pathways: A techno-economic optimisation within an integrated energy system

Cited by 41 publications

References 40 publications

Greenhouse Gas Reduction Potential and Economics of Green Hydrogen via Water Electrolysis: A Systematic Review of Value-Chain-Wide Decarbonization

Greenhouse Gas Reduction Potential and Economics of Green Hydrogen via Water Electrolysis: A Systematic Review of Value-Chain-Wide Decarbonization

Challenges and Barriers of Wireless Charging Technologies for Electric Vehicles

Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps

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