Renewable and Sustainable Energy Reviews最新文献_第7页

Revolutionizing hydrogen production and storage: Harnessing the power of MXenes for a greener and sustainable future

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-04-01 DOI: 10.1016/j.rser.2025.115654

Tahir Rasheed , Rabia Ahmad , Ali Arishi

Among many types of electrocatalyst materials for the hydrogen evolution reaction (HER), two-dimensional (2D) transition metal nitrides and carbides (MXenes) stand out for their distinctive characteristics. The presence of transition metals (TMs) in their structure and terminations imparts metallic conductivity, allowing for variable surface chemistry. Although early research on pure MXenes showed modest HER overpotentials, the kinetics of the hydrogen (H₂) adsorption and desorption processes still restrict their electrocatalytic effectiveness. To improve the HER kinetics of MXenes, doping has recently been investigated as a viable method for optimizing their surface and electrical characteristics. This research aims to investigate the impact of doping in MXenes by substituting functional groups, including various elements/species into the MXene matrix, and altering the interface to enhance environmentally friendly production of hydrogen. Additionally, several hydrogen storage techniques have been examined. Currently, hydrogen is employed either as a compressed gas contained in high-pressure tanks or as a liquid held in tanks. Nonetheless, the safety issues linked to traditional storage methods render the solid-state storage method an attractive option. This architecture enables reversible hydrogen storage through the potential of lightweight, high-performance solid-state materials like MXenes. Despite their considerable promise, the utilization of MXenes in hydrogen storage has not been thoroughly explored. This study provides a thorough overview of the existing applications of MXenes and MXene-based materials for hydrogen generation and storage, addressing the challenges they encounter and their possible potential prospects.

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引用次数: 0

Evaluating the suitability of direct air carbon capture and storage in Virginia using geospatial multi-criteria decision analysis

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-04-01 DOI: 10.1016/j.rser.2025.115669

Nafiseh Salehi, Lisa M. Colosi, Majid Shafiee-Jood

Direct Air Carbon Capture and Storage (DACCS) is an emerging technology with significant potential to mitigate climate change by removing carbon dioxide directly from the atmosphere. While past studies have evaluated environmental impacts and economic feasibility of DACCS using Life Cycle Assessment and Techno-Economic Assessment, there is a significant gap in localized assessments of DACCS suitability to better inform and facilitate its implementation in geographic areas where it will be deployed. In this study, we developed a framework that combines geospatial analysis with Multi-Criteria Decision Analysis (MCDA) to facilitate a detailed, localized suitability analysis for DACCS implementation, considering economic, environmental, and social factors. Additionally, we created a web-based decision support tool to streamline the evaluation process for potential DACCS implementation, enhancing engagement with decision-makers and stakeholders. Focusing on Virginia as our case study, our findings indicate that most counties' suitability was significantly affected by changes in criteria prioritization, indicating the substantial impact of economic, environmental, and social factors. This variability highlights the importance of the decision support tool in enhancing decision-making by illustrating how differing criteria and stakeholder perspectives impact site assessments. This study underscores the necessity of a comprehensive and inclusive approach, particularly crucial for emerging carbon removal technology projects.

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引用次数: 0

Microwave applied to the thermochemical conversion of biomass: A review

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-04-01 DOI: 10.1016/j.rser.2025.115674

Yuechi Che , Beibei Yan , Jian Li , Zhenyu Zhao , Xin Gao , Guanyi Chen , Giancarlo Cravotto , Yunan Sun , Juan Zhao

Renewable fuels and valuable chemicals derived from biomass offer a promising solution to address the global energy shortage and carbon emission challenges. However, the commercial application of traditional biomass thermochemical conversion technologies remains hindered, due to low heat transfer and processing efficiencies. In recent years, microwave heating, as a novel method, has garnered significant attention for its advantages in dielectric heating, superior heat transfer efficiency, and potential for carbon emission reduction. Nevertheless, the precise role of microwaves in various applications remains unclear. Therefore, this research provides an overview of microwave applications in different types of biomass thermochemical conversion processes, examines the role of microwave, and suggests research directions to enhance the benefits. This research summarized common knowledge points across areas including the principles of microwave heating, the microwaves-biomass interactions, microwave absorbents/catalysts, and microwave effects. The material transformation of biomass during thermochemical conversion and their interactions with microwave was analyzed. Based on whether microwave primarily provide rapid thermal energy or enhance activity during the process, the technologies were categorized into microwave-driven technologies (drying, pyrolysis, torrefaction, hydrothermal technology) and microwave-assisted technologies (gasification, tar reforming, combustion). Additionally, the technical characteristics and advancements in each technology was conducted. Furthermore, an in-depth analysis of the challenges and opportunities from the viewpoints of theoretical investigation, equipment research, and industrial application was concluded. This review aims to provide in-depth understanding and inspiration for research and development in the thermochemical conversion biomass with microwave.

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引用次数: 0

Construction prediction of horizontal energy storage salt caverns using a novel concentration-field model

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-04-01 DOI: 10.1016/j.rser.2025.115583

Song Zhu , Daosheng Ling , Jia Liu , Zhuoteng Wang , Wu Gao , Muhammad Usman Azhar , Yunmin Chen , Liangtong Zhan , Wenjie Xu , Jinlong Li

Horizontal salt caverns are widely used for oil and gas storage, hydrogen storage, compressed air energy storage, and carbon dioxide geological storage in bedded salt. Accurate modeling of solution mining processes is critical for predicting and controlling the shape and capacity of the caverns. To improve the accuracy and efficiency of such predictions, a novel construction prediction model is proposed using a simplified concentration field distribution model. The dissolution of salt and the convection of brine are simulated by solving the Navier-Stokes equations and the convective diffusion equation. Simulation results indicate that the injected freshwater mixes with the brine and forms an upward buoyant jet. Except in the buoyant jet region, there is a vertical concentration stratification. The brine concentration is the lowest from the apex of the buoyant jet to the cavern top, and gradually increases in the downward direction until the saturated zone below the injection port. In this regard, the simplified concentration field distribution model introduces a distribution factor β to describe these distribution patterns. A C++ simulation program, named “Horizontal Salt Cavern Construction Prediction”, is developed combining the simplified concentration model, the dissolution model and the grid system based on the Volume of Fluid Method. The construction of Volgograd Gas Storage is simulated for verification. Simulated brine concentration and cavern shapes coincide well with the actual cases, indicating that the proposed model is reliable. Work in this paper can serve as a new construction design tool and facilitate renewable energy storage in salt caverns.

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引用次数: 0

Performance energy production with advanced design and prototype floating ducted tidal turbine for small islands 利用先进设计和原型浮动导管式潮汐涡轮机为小岛屿生产高性能能源

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-03-31 DOI: 10.1016/j.rser.2025.115664

Wulfilla Maxmilian Rumaherang , Hendry Izaac Elim , Altje Latununuwe , Estevanus Kristian Huliselan , Johanis D. Lekalette

The urgent need for an energy transition from conventional to renewable energy sources (RE) has become a strategic priority to ensure a sustainable and clean energy supply. In archipelagic nations, renewable energy technologies must be reliable, sustainable, predictable, and environmentally compatible with local wisdom and development goals. Indonesia possesses a total tidal current energy potential of 17.9 GWh, with the Maluku archipelago predicted to have a power density of approximately 4.75 kWh from tidal energy conversion. This study introduces a Floating Ocean Current Power Plant (FOCPP) prototype, incorporating a ducted tidal turbine and a floating moored pontoon system. The platform integrates a low-speed synchronous generator and other electrical components. The prototype was tested in the Haya Strait, Western part of Seram Island, Indonesia, where tidal current speeds reached 2.54 m/s. The results demonstrated a turbine speed enhancement of 1.25–2.65 times, achieving a peak operational period of 19 h per day and producing 72 kWh of energy daily, 2206.4 kWh monthly, and 38.9 MWh annually. These findings suggest that implementing ducted tidal turbines in small island communities can provide a sustainable clean energy solution with minimal greenhouse gas (GHG) emissions. This study highlights the potential for global and national support in accelerating the transition toward renewable energy adoption in remote and underserved regions.

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引用次数: 0

Efficient energy harvesting using triboelectric nanogenerators (TENGs): Integration with technologies, wearable applications, and future trends

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-03-31 DOI: 10.1016/j.rser.2025.115662

Seyed Mohammad Vahidhosseini , Saman Rashidi , Mohammad Hossein Ehsani

The escalating energy demands and the urgent need for sustainable power solutions have highlighted the potential of triboelectric nanogenerators (TENGs) as viable energy harvesting technologies. This paper continues the comprehensive review by focusing on the integration of TENGs with other technologies, their applications in wearable devices, and emerging future trends. This review introduces the integration of TENGs with various technologies, emphasizing hybrid energy harvesting systems, such as TENG-photovoltaic hybrids, TENG-piezoelectric generator systems, and TENG-TEG systems. The paper also explores the application of TENGs in smart systems and internet of things (IoT) applications, including self-powered sensors, IoT connectivity, wearable devices, environmental monitoring, smart homes, and industrial IoT. These integrations demonstrate TENGs’ potential to enhance the efficiency and sustainability of modern technology. Significant attention is given to the advancements in wearable and flexible TENGs. This includes self-powered health monitoring, integration with smart clothing, biocompatible materials, and applications in rehabilitation and fitness tracking. The paper discusses the development of flexible and stretchable TENGs, highlighting innovations in stretchable polymers, serpentine interconnects, and encapsulation techniques, which expand the possibilities for wearable technology, soft robotics, and flexible electronics. Finally, the review addresses environmental and large-scale applications of TENGs, such as ocean wave and wind energy harvesting, and environmental monitoring and sensing systems. It also considers the future prospects and emerging trends, including the integration of TENGs with artificial intelligence and their application in next-generation technologies. By covering these areas, this paper underscores the transformative potential of TENGs in various domains, contributing to sustainable and efficient energy solutions for the future.

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引用次数: 0

A review of grid parity assessment for solar photovoltaics

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-03-31 DOI: 10.1016/j.rser.2025.115679

Rong Wang, Sandra Hasanefendic, Bart Bossink

Grid parity is considered the tipping point of economic competitiveness of PV systems. However, accurately determining when grid parity is achieved hinges on the reliability and precision of the methodologies and data employed. This paper systematically reviews existing methods for assessing PV grid parity, proposes a structured three-step framework for grid parity assessment, and identifies the potential enhancements for more accurate evaluation outcomes. The framework begins with the calculation of PV costs using the Levelized Cost of Electricity (LCOE) method, continues with predicting PV cost trends through learning curves, and is completed by benchmarking PV costs against electricity prices. Our findings reveal that most current PV cost calculations for grid parity primarily rely on the LCOE method, which can be enhanced by incorporating modifications for integration costs, revenues, PV performance metrics, regional-specific characteristics, and uncertainties. Moreover, learning curve models used to predict PV cost trends can be refined by tailoring learning rates and model formulations to reflect specific stages of technological development and regional differences. Additionally, the results suggest that electricity prices used in grid parity assessment can be adjusted to reflect the impact of policies and market dynamics. This comprehensive review provides a robust framework for assessing grid parity and serves as an essential reference for conducting more precise techno-economic feasibility assessment of PV systems.

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引用次数: 0

Short-term prediction of mooring tension for floating offshore wind turbines under typhoon conditions based on the VMD-MI-LSTM method

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-03-29 DOI: 10.1016/j.rser.2025.115606

Lehan Hu , Wei Shi , Weifei Hu , Wei Chai , Zhiqiang Hu , Jun Wu , Xin Li

The safety of mooring systems for floating offshore wind turbine platforms is critical for their normal operation. During extreme weather events such as typhoons, ensuring the integrity of mooring lines becomes a paramount concern. With advancements in artificial intelligence technology, the integration of deep learning methods for short-term prediction of mooring line tension under typhoon conditions has introduced innovative solutions to address this safety issue. In this study, the proposed VMD-MI-LSTM neural network is employed to forecast mooring line tension under typhoon conditions over short periods. The platform model utilized in this research is the 5-MW Braceless semisubmersible platform, with the transient wind fields of Typhoon Hagibis serving as the research scenarios. Through fully coupled simulations, the tension of mooring lines under typhoon conditions is computed. Using wave height time series and typhoon wind speed as input data and mooring line tension data as output, a dataset is constructed. The optimal model parameters are determined through exploration of the hyperparameter space to develop the multi-input long short-term memory (MI-LSTM) mooring line tension prediction model. An analysis of the prediction results for mooring line #1 is conducted. Given the similarity of environmental conditions across different platform mooring lines, the model's universality is evaluated by predicting mooring line #1 and comparing it with the VMD-MI-LSTM model. This comparison highlights the optimization effect of the VMD variational mode decomposition method. This study provides short-term predictions of mooring line tension under typhoon conditions. By integrating with the mooring line adjustment system, effective adjustment of the mooring system of the floating wind turbine platform can be achieved under extreme environmental conditions, thereby enhancing the platform's safety and resilience against risks.

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引用次数: 0

Data-driven wind farm flow control and challenges towards field implementation: A review

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-03-28 DOI: 10.1016/j.rser.2025.115605

Tuhfe Göçmen , Jaime Liew , Elie Kadoche , Nikolay Dimitrov , Riccardo Riva , Søren Juhl Andersen , Alan W.H. Lio , Julian Quick , Pierre-Elouan Réthoré , Katherine Dykes

Data-driven wind farm flow control (WFFC) is an innovative approach that leverages the collected data and advanced analytics to enhance the performance of wind turbines within wind farms. Its significance lies in its ability to adapt to changing wind and turbine conditions and improve operations, boosting energy yield, extending turbine/component lifetime, and potentially reducing socio-environmental impact and costs, thus supporting the viability and sustainability of wind energy as a renewable power source. This review explores the dynamic field of data-driven WFFC and its challenges towards practical implementation. Building on top of traditional wind farm modelling and model-based control, it details the virtues and limitations of these methods while introducing the concept of data-informed or data-driven flow models that harness data to augment predictive accuracy and control strategies. The analysis then covers the methodologies for power and load surrogates, elucidating the pivotal role of surrogate modelling in enhancing WFFC, and showcasing its value in decision-making and energy optimisation. Furthermore, the growing field of reinforcement learning (RL) is highlighted, showcasing its adaptive potential to revolutionise wind farm control through learning from past interactions. The investigation concludes by identifying key challenges impeding the practical deployment of data-driven WFFC, including data quality concerns, cybersecurity risks, and limitations of the current algorithms. In summary, this comprehensive review presents the ongoing development of data-driven WFFC, emphasising the synergy between traditional methods, surrogate modelling, RL, and the critical challenges to be addressed for successful integration of these methodologies in real-world wind farm operations.

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引用次数: 0

Thermal models for mono/bifacial modules in ground/floating photovoltaic systems: A review

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-03-28 DOI: 10.1016/j.rser.2025.115627

Amr Osama , Giuseppe Marco Tina , Antonio Gagliano

Since the world's policy tends to rely on solar energy to meet energy needs, photovoltaics are considered a crucial asset that requires continuous monitoring. Several installation solutions, including different PV technologies, created challenges in providing a reliable evaluation to depend on. Thermal modeling is essential to predict the cell temperature that is utilized in anticipating the system's electrical performance, as in most commercial software. Hence, this work provides an overview of the most used thermal models for installation solutions (free-standing, roof-mounted, floating, etc.) utilizing both mono and bifacial module technology. The provided analysis is focused on evaluating the different responses of the thermal models that can be used for the same configuration and technology. A sensitive comparative analysis of the various thermal models is provided to assess their response to the climatic parameters as an input to the thermal model. The analysis revealed that for monofacial thermal models, Ross models underestimate the cell temperature at any radiation intensity, while the Faiman model using PVsyst coefficients generates the highest overestimated cell temperature among the examined models. It can be seen that the effect of wind speed reduces for a velocity higher than 10 m/s. As for the bifacial PV module, it can be noticed that the Sandia model using Bifacial optimized coefficients is very sensitive to the back surface radiation as it tends to overestimate relative to the Faiman model. Furthermore, floating PV thermal models are significantly affected by the heat transfer coefficient that usually produces a lower cell temperature.

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引用次数: 0