Renewable Energy最新文献_第2页

Polysaccharides enhanced performance of cotton thread based microfluidic fuel cells

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-22 DOI: 10.1016/j.renene.2025.123245

Da-Cheng Hao , Chengxun Li , Yaoxuan Wang , Pei-Gen Xiao

Hydrophilic fabric materials can absorb electrolyte by capillary action, and higher mechanical strength and device stretchability can be obtained when they are used as substrates of microfluidic fuel cell (MFC). This study aims to explore the effects of four natural polysaccharides on the performance of cotton thread-based flow channel of MFC. Sodium formate and hydrogen peroxide were fuel and oxidant of MFC respectively, combined with graphite tube anode and graphite rod cathode, and polysaccharide modified cotton thread was the flow channel material. Different concentrations of chitosan, guar gum (GG), flaxseed gum (FG), and Sa-son seed gum (SSG) were doped to modify cotton threads and improve the MFC performance. SEM-EDS, XRD, contact angle, FTIR and thermal analyses suggested that the intermolecular interaction between added polysaccharide and cotton cellulose achieved the improved hydrophilicity of the modified threads, consistent with quantum chemical calculations. The optimal Pt/C loading on the anode was 2.5 mg/cm²; the thread size, fuel/anolyte concentration and their interactions markedly influenced the electricity production of MFC. With doped chitosan of 0.5 g/L, the power density (PD) of MFC reached 12.58 mW/cm², 2.1 times that of MFC with unmodified thread. PD achieved by adding GG, FG and SSG was 11.34, 10.68 and 8.06 mW/cm², respectively. The differential charge, functional groups, and monosaccharide composition of four polysaccharides may explain their different effects on electrogenesis, which was further supported by EIS and path modeling. The proposed polysaccharide modifications of MFC channel inspire further endeavor in improving micro power sources for niche devices.

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引用次数: 0

Comprehensive investigation on the heat extraction performance of a novel enhanced geothermal system based on mining technology

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-22 DOI: 10.1016/j.renene.2025.123233

Kun Ji , Arash Dahi Taleghani , Sai Liu , Qitao Zhang , Kaoshan Dai , Hong Li , Chun'an Tang

This study proposes a novel enhanced geothermal system based on mining technology (EGS-M) to facilitate commercial exploitation of deep geothermal resources. The system utilizes the high permeability goaf from deep high-temperature mining as the geothermal reservoir, avoiding costly wellbore drilling and fracturing in deep brittle rocks. The numerous goafs in large mines provide ample reservoir volume for large-scale geothermal development. A new 3D transient numerical model based on mining parameters was established to evaluate heat extraction performance. Using this model, a series of simulations were performed to quantitatively investigate the effects of key factors on the heat extraction efficiency and life-span. Simulation results indicate that the influence of borehole depth on heat extraction performance is nonlinear, with optimal performance when boreholes are 0.8 times reservoir height. Using supercritical CO₂ instead of water raised production temperature by 46.76 K but decreased output power by 10.38 MW and cumulative heat extraction by 1.44 × 10¹⁶ J. Moreover, the system demonstrates significant energy-saving and emission-reduction benefits, being capable of saving 9.71 × 10⁸ kg of coal and reducing 2.38 × 10⁹ kg of CO₂ emissions over a 20-year production period. Compared to the Soultz EGS, a leading commercially operated project, the proposed system had 18.7 % higher average production temperature and 36.9 % greater average output power. The EGS-M offers a novel geothermal approach achieving economic efficiency and environmental sustainability by synergistically combining deep mineral extraction with geothermal energy development.

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引用次数: 0

Experimental appraisal & dual efficiency optimization of a modified indirect solar dryer: Heat & mass transfer analysis with a hybrid ANN approach

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-21 DOI: 10.1016/j.renene.2025.123098

Ashish Kumar, Shatarupa Biswas, Rakesh Kumar, Amitava Mandal

The dehydration of food and agricultural products involves complex heat and mass transfer processes, necessitating efficient drying techniques. This study evaluates the performance of a modified Indirect Solar Dryer (ISD) with a double-glazed corrugated collector and a shelf-type drying chamber. Experiments conducted on grapes (initial moisture content: 78% w.b.) demonstrate that ISD significantly outperforms Open Sun Drying (OSD), achieving higher peak efficiencies (50%–70% vs. 40%–60%) and better moisture removal (final moisture content: 0.10–0.15 vs. 0.30–0.40 for OSD). To predict drying kinetics, various empirical models were analyzed, with the Midilli et al. model providing the best statistical fit. To further enhance ISD performance, this study employs hybrid Artificial Neural Network (ANN) models optimized using Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Grey Wolf Optimizer (GWO). Among these, ANN-GWO demonstrated the highest predictive accuracy. The models were validated with experimental data, and sensitivity analyses assessed the impact of key input parameters. These findings contribute to optimizing solar drying systems for improved energy efficiency and sustainability in agricultural applications. Future research should explore advanced thermal energy storage solutions to enhance drying performance under varying environmental conditions.

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引用次数: 0

Heterostructure between super-aerophobic phosphate coatings and molybdate hydrate electrode for efficient urea electrolysis and hydrogen production 用于高效尿素电解和制氢的超疏水磷酸盐涂层与水合钼酸盐电极之间的异质结构

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-21 DOI: 10.1016/j.renene.2025.123229

Lili Wang , Wurigamula He , Duanduan Yin , Qianli Ma , Wensheng Yu , Ying Yang , Xiangting Dong

Urea electrolysis can replace water electrolysis as the anode reaction, reducing the voltage required for hydrogen production and mitigating urea-induced environmental pollution. In this work, we synthesized NMOH (NiMoO₄·xH₂O) nanorod arrays on nickel foam (NF) via a hydrothermal method and then constructed an NMOH@Pi heterostructure through high-temperature phosphating, where Pi represented phosphate components of the shell. The heterointerface between NMOH and Pi enhances electronic interactions, improving electrical conductivity, intermediate adsorption, and reaction kinetics. Additionally, the super-hydrophilicity and super-aerophobicity of NMOH@Pi/NF enhance electrolyte immersion and bubble detachment, promoting mass transport. The Ni active sites are modulated by Mo, P, and O atoms, preventing further oxidation of Ni²⁺ during urea oxidation. Phosphorus doping stabilizes oxygen vacancies (Ov), improving catalytic performance. By the aid of the above designed favorable factors, the NMOH@Pi/NF catalyst achieves UOR and HER current densities of 100 mA cm⁻² at only 1.410 and 0.176 V, respectively. This work provides new insights for designing bimetallic or multimetallic synergistic electrocatalysts.

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引用次数: 0

Assessing the potential and complementary characteristics of China's solar and wind energy under climate change

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-21 DOI: 10.1016/j.renene.2025.123213

Yukun Fan , Ping-an Zhong , Feilin Zhu , Ran Mo , Han Wang , Jia Wei , Yurou Zeng , Bin Wang , Xinyuan Qian

Understanding the impact of climate change on renewable energy potential is crucial for Chinese government to formulate reasonable renewable energy development plans. This study examines the impact of climate change on China's renewable photovoltaic (PV) and wind energy potential. Using meteorological data from 17 Global Climate Models (GCMs) in the Sixth Coupled Model Intercomparison Project (CMIP6) under different emission scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5), the study analyzes spatial distributions and complementary characteristics of wind and solar energy. Key findings include: 1) Under low-emission scenarios, PV potential steadily increases, while wind power density (WPD) slightly declines. In high-emission scenarios, both PV and WPD decrease by the end of the century. 2) Climate change affects regional trends. PV potential is higher in the west and north, and WPD is higher in the southeast. The southeastern region will see significant growth in wind and solar energy potential, while the western and northern regions will experience declines. 3) Wind-solar complementarity is stronger at the seasonal scale than the monthly scale, and climate change weakens this complementarity. 4) The study suggests that uncertainty in renewable energy potential poses risks to the power system, emphasizing the need for investments in multi-energy integration, energy storage, and region-specific strategies.

了解气候变化对可再生能源潜力的影响对于中国政府制定合理的可再生能源发展规划至关重要。本研究探讨了气候变化对中国可再生能源光伏（PV）和风能潜力的影响。研究利用第六次耦合模式相互比较项目（CMIP6）中 17 个全球气候模式（GCM）在不同排放情景（SSP1-2.6、SSP2-4.5、SSP5-8.5）下的气象数据，分析了风能和太阳能的空间分布和互补特征。主要结论包括1) 在低排放情景下，光伏发电潜力稳步上升，而风能密度（WPD）略有下降。在高排放情景下，到本世纪末，光伏发电和风力发电密度都会下降。2) 气候变化影响区域趋势。光伏发电潜力在西部和北部较高，而风力发电潜力在东南部较高。东南部地区的风能和太阳能潜力将显著增长，而西部和北部地区则会下降。3) 风能与太阳能的互补性在季节尺度上要强于月度尺度，而气候变化会削弱这种互补性。4) 研究表明，可再生能源潜力的不确定性给电力系统带来了风险，强调了对多能源整合、能源储存和特定地区战略进行投资的必要性。

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引用次数: 0

Investigation of the climate and Land use/land cover change impacts on the optimal reservoir operation of the Nashe reservoir, Blue Nile River Basin, Ethiopia 气候和土地利用/土地覆盖变化对埃塞俄比亚青尼罗河流域纳什水库优化运行的影响调查

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-21 DOI: 10.1016/j.renene.2025.123238

Megersa Kebede Leta , Wakjira Takala Dibaba , Bekan Chelkeba Tumsa , Muhammad Waseem , Sareer Ahmad

The management of water resources and inflows into reservoirs has been directly impacted by the uncertainties underlying climate change and land use changes. This study explores the impact of climate and land use/land cover (LULC) changes on the Nashe Reservoir's inflow and hydropower operations using the SWAT and HEC-ResPRM models. Climate projections under RCP 4.5 and RCP 8.5 scenarios indicate that, the reservoir's average annual elevation and storage will increase by 6.40 % and 5.16 % under RCP 4.5, and by 19.04 % and 20.39 % under RCP 8.5 in the near future (2021–2050). In the mid-future (2051–2080), these increases are expected to be 6.72 % and 7.65 % under RCP 4.5, and 16.85 % and 20.64 % under RCP 8.5. Optimal power capacity is projected to grow by 24.21 % and 23.72 % in the near future and by 28.76 % and 34.00 % in the mid-future under RCP 4.5 and RCP 8.5, respectively. These findings suggest that climate and LULC changes will significantly enhance reservoir inflows and power generation but may also lead to fluctuations in monthly power output. The study emphasizes the need for updated reservoir operation strategies of future water management and optimize hydropower generation, providing valuable insights for water resource planners.

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引用次数: 0

Optimizing electrolyzer investments for green hydrogen production under market and technology uncertainties 在市场和技术不确定的情况下优化绿色制氢的电解槽投资

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-21 DOI: 10.1016/j.renene.2025.123081

Alessio Trivella

Motivated by increasing curtailment of renewable energy, negative electricity prices, and growing importance of green hydrogen, many renewable energy producers are considering investing in electrolyzers to produce and sell green hydrogen. However, electrolyzers are still expensive technologies and their profitability is affected by uncertainties in electricity and hydrogen prices, investment cost, and curtailment levels, all of which fluctuate over time. In this paper, we study optimal electrolyzer investments as a real option problem where a renewable energy producer can decide over a planning horizon whether investing in an electrolyzer, its capacity, and whether to couple it with a storage system. Since the resulting dynamic stochastic optimization problem is intractable to solve to optimality, we leverage state-of-the-art approximate dynamic programming (ADP) methods to compute near-optimal investment policies and dual bounds. A computational study is conducted, offering insights into the investment option value under traditional and new ADP policies, and optimal investment decisions in relation to the evolution of the uncertainties, including the expected time to invest, asset size, and optimal electrolyzer utilization. The findings can be valuable for renewable energy producers interested in green hydrogen but lacking tools and insights to assess investment decisions in a complex and evolving energy landscape.

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引用次数: 0

A review on life cycle assessment of concentrating solar energy technologies

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-21 DOI: 10.1016/j.renene.2025.123203

Maurizio Cellura, Le Quyen Luu, Francesco Guarino, Sonia Longo

Solar energy technology is identified as one of the most important contributors to the decarbonization of the energy system and the economy, which requires the further development of these technologies with higher efficiency, and lower environmental impacts. The paper systematically reviews the energy and environmental impacts and costs of concentrating solar technologies, applying the life cycle approach. The concentrating solar technologies are described technically, which is followed by an analysis of life cycle assessment methods being currently applied in this context. The life cycle energy requirement, greenhouse gas emissions, resource consumption, other environmental impacts and costs of the technologies are reviewed by the types of technologies and the choice of assessment methods. The obtained findings show that the lower cumulative energy demand (CED) and global warming potential (GWP) of concentrating solar power (CSP) and high concentrating solar photovoltaics in high solar radiation areas, while higher CED and GWP of CSP and concentrating solar thermal hybridized with fossil fuels. Furthermore, it is indicated through the dominance analysis that construction, material extraction and manufacturing are the largest contributors to the single endpoint impact. For specific midpoint impacts, the hotspot lies in manufacturing (for energy demand, material depletion and ecotoxicity), operation (for GWP) or both of these stages (for water consumption). Disregards of stages, the solar concentrator is the component causing the largest share of several midpoint impacts such as energy demand, GWP, material depletion and ecotoxicity. In term of costs, the levelized cost of energy from CSP system tends to decrease thanks to the reduction in solar concentrator cost, and the combination of CSP and PV brings the lowest cost with reduced GWP.

太阳能技术被认为是能源系统和经济去碳化的最重要贡献者之一，这就要求进一步开发这些效率更高、对环境影响更小的技术。本文采用生命周期方法，系统回顾了聚光太阳能技术对能源和环境的影响及成本。首先对聚光太阳能技术进行了技术描述，然后分析了目前在这方面采用的生命周期评估方法。根据技术类型和评估方法的选择，对技术的生命周期能源需求、温室气体排放、资源消耗、其他环境影响和成本进行了审查。研究结果表明，在高太阳辐射地区，聚光太阳能发电（CSP）和高聚光太阳能光伏发电的累积能源需求（CED）和全球升温潜能值（GWP）较低，而与化石燃料混合的聚光太阳能发电（CSP）和聚光太阳能热发电的累积能源需求（CED）和全球升温潜能值（GWP）较高。此外，优势分析表明，建筑、材料提取和制造是造成单一终点影响的最大因素。对于具体的中点影响，热点在于制造（能源需求、材料损耗和生态毒性）、运行（全球升温潜能值）或这两个阶段（水消耗）。无论哪个阶段，太阳能聚光器都是对能源需求、全球升温潜能值、材料损耗和生态毒性等几个中点影响最大的部件。就成本而言，由于太阳能聚光器成本的降低，来自 CSP 系统的平准化能源成本趋于降低，而 CSP 和 PV 的组合在降低全球升温潜能值的同时也带来了最低的成本。

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引用次数: 0

Applying multicomponent dry water agent for explosion suppression of pulverized biomass fuels

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-21 DOI: 10.1016/j.renene.2025.123226

Chongqiang Ye , Qingjun Xia , Hao Wu , Wanyu Zou , Qingwu Zhang , Yajie Bu , Yuan Yu , Juncheng Jiang

The explosion hazards of pulverized biomass fuels have threatened the safe processing and utilization of biomass energy. To suppress the biomass explosions, monosodium phosphate (MSP) and gellan gum (GG) were introduced as additives to produce the multicomponent dry water (DW) agents in this study. The modified MSP-DW and MSP-GG-DW suppressants presented core-shell structures with better stability if compared to the binary DW particles. Their suppression effects on two typical biomass fuels categorized in St1 explosion hazard, e.g., corn stalk and pine sawdust, were investigated in a 20-L chamber. The results showed the biomass explosion parameters including maximum overpressure P_max, maximum rate of pressure rise (dP/dt)_max, and flame propagation speed V_f all gradually decreased with increasing the proportions of DW suppressants, wherein the MSP-DW performed the superior suppressing efficiency. Applying 50 % of modified MSP-DW and MSP-GG-DW was found promising to completely suppress both corn stalk and pine sawdust explosions. Thermogravimetric analysis indicated that DW suppressants slow down the biomass pyrolysis and inhibit the release of flammable volatiles. The decomposition of MSP brought additional chemical effects along with thermal quenching, leading to advantages in explosion suppression. The multicomponent DW is suggested to replace the traditional inert powders in suppressing biomass explosions.

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引用次数: 0

Quantile-on-quantile connectedness of uncertainty with fossil and green energy markets

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-04-21 DOI: 10.1016/j.renene.2025.123235

Pınar Evrim Mandaci , Efe C. Cagli , Dilvin Taşkin , Birce Tedik Kocakaya

This study explores links between uncertainty metrics and fossil and green energy sectors, applying an innovative quantile-on-quantile connectedness method to analyze spillovers across quantiles from August 2004 to December 2023. Our sample comprises the clean and fossil energy market indices and key uncertainty measures, including climate, economic, geopolitical, and infectious diseases uncertainty indices. All total connectedness indices were found to peak at extremely reversely related quantiles, except for climate policy uncertainty. The strongest connectedness is between high economic policy uncertainty and low clean energy returns. The economic policy uncertainty index was dynamically reversely related to energy markets in all quantiles. However, after 2016, the connectedness between climate policy uncertainty and energy market indices converted to positive, possibly due to the impact of the Paris Agreement. Compared to climate-related uncertainty, geopolitical and economic uncertainties have a notably more substantial influence on energy markets, particularly in the green energy sector. Other findings reveal that energy market performance significantly influences climate policy uncertainty, and that infectious disease uncertainty is transmitted across various quantiles. Given the findings, we propose policy implications for investors and policymakers, emphasizing the critical need for considering different quantiles in measuring the dynamic connectedness between various uncertainties and energy markets.

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引用次数: 0