Renewable and Sustainable Energy Reviews最新文献_第10页

From resource curse to financial opportunity: A quantile-based frontier analysis of resources conversion efficiency in Southeast Asia 从资源诅咒到金融机会：基于分位数的东南亚资源转换效率前沿分析

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-09 DOI: 10.1016/j.rser.2025.116582

Ashutosh Yadav , Bright Akwasi Gyamfi , Divine Q. Agozie , Simplice A. Asongu

Southeast Asian economies are richly endowed with natural resources, yet the link between resource abundance and financial development remains complex and contested. This study explores the heterogeneous impact of different types of natural resource rents on financial development across five Southeast Asian countries, Indonesia, Malaysia, the Philippines, Thailand, and Vietnam, over the period 1995 to 2021. Using a multi-method empirical strategy that integrates Stochastic Frontier Analysis (SFA), threshold regression, and quantile-based techniques, the analysis captures nonlinearities, distributional shifts, and institutional moderating effects within the resource-finance nexus. The results reveal that forest rents exert a positive and statistically significant effect on financial development, particularly at the median quantile and in economies with higher renewable energy adoption. In contrast, mineral and natural gas rents are negatively associated with credit expansion, especially in countries with weaker financial systems, suggesting the presence of a financial resource curse. Institutional quality and renewable energy consumption play crucial moderating roles by attenuating the adverse effects of rent dependency while enhancing financial sector efficiency. Efficiency estimates highlight Indonesia and the Philippines as regional frontrunners in transforming resource wealth into productive credit allocation. The study recommends integrating forest rents into green finance frameworks, strengthening governance mechanisms, and designing resource-sensitive financial deepening strategies. Overall, the findings offer timely insights to inform policy frameworks aligned with Sustainable Development Goals 8 and 9.

东南亚经济体拥有丰富的自然资源，但资源丰富与金融发展之间的关系仍然复杂而有争议。本研究探讨了1995年至2021年期间，不同类型的自然资源租金对印尼、马来西亚、菲律宾、泰国和越南这五个东南亚国家金融发展的异质影响。本研究采用多方法实证策略，将随机前沿分析（SFA）、阈值回归和基于分位数的技术相结合，分析了资源-金融关系中的非线性、分布转移和制度调节效应。结果表明，森林租金对金融发展具有显著的积极影响，特别是在中位数和可再生能源采用率较高的经济体中。相比之下，矿产和天然气租金与信贷扩张呈负相关，特别是在金融体系较弱的国家，这表明存在金融资源诅咒。制度质量和可再生能源消费通过减弱租金依赖的不利影响，同时提高金融部门的效率，发挥了至关重要的调节作用。效率评估强调，在将资源财富转化为生产性信贷配置方面，印尼和菲律宾是该地区的领跑者。研究建议将森林租金纳入绿色金融框架，加强治理机制，设计资源敏感型金融深化战略。总体而言，调查结果为符合可持续发展目标8和9的政策框架提供了及时的见解。

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引用次数: 0

Triboelectric nanogenerator technology for city self-purification: efficient high-entropy energy harvesting and effective pollutant purification in the environment 用于城市自净的摩擦纳米发电机技术：高效的高熵能量收集和有效的环境污染物净化

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-09 DOI: 10.1016/j.rser.2025.116593

Zhenyu Wang , Erming Su , Xianjin Shi , Shiqi Peng , Dandan Zhu , Rong Li , Yanshuo Sun , Siyan Pan , Gaojian Wei , Yuxi Wang , Yu Huang , Leo N.Y. Cao , Zhong Lin Wang

With rapid urbanization, increasing energy consumption, and escalating environmental pollution, urban resources and ecosystems are under immense pressure. In response, the concept of city self-purification has emerged as a pivotal strategy aimed at achieving sustainable urban development through the utilization of clean energy and artificial purification technologies. The triboelectric nanogenerator (TENG), a cost-effective and eco-friendly technology, has demonstrated remarkable capabilities in capturing high-entropy mechanical energy from the environment and converting it into electricity, positioning it as a zero-carbon energy harvesting solution comparable to solar energy technologies. Meanwhile, TENG technology has shown significant potential in the remediation of various environmental pollutants across multiple media. This review provides the first systematic and comprehensive summary of TENG advancements toward the integrated concept of self-purifying cities, with a focus on their roles in high-entropy energy harvesting and pollutant purification in urban air, water, and soil. By revisiting the fundamental principles and developmental trends of TENG, we analyze their unique value and promising applications in fostering intelligent, clean, and sustainable urban development, offering theoretical insights and future research directions for practical implementations.

随着城市化进程的加快、能源消耗的增加和环境污染的加剧，城市资源和生态系统承受着巨大压力。因此，城市自我净化的概念已成为一项关键战略，旨在通过利用清洁能源和人工净化技术实现城市可持续发展。摩擦电纳米发电机（TENG）是一种具有成本效益和环保的技术，在从环境中捕获高熵机械能并将其转化为电能方面表现出了非凡的能力，将其定位为可与太阳能技术相媲美的零碳能源收集解决方案。同时，TENG技术在多种介质环境污染物的修复中显示出巨大的潜力。本文首次系统、全面地综述了自净化城市综合概念的研究进展，重点介绍了自净化城市在高熵能量收集和城市空气、水和土壤污染物净化方面的作用。通过回顾TENG的基本原理和发展趋势，分析其在促进城市智能、清洁和可持续发展方面的独特价值和应用前景，为实践提供理论见解和未来的研究方向。

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引用次数: 0

Lifetime analysis of hydro turbines with focus on fatigue damage in a renewable energy system – A review 以可再生能源系统疲劳损伤为重点的水轮机寿命分析综述

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-08 DOI: 10.1016/j.rser.2025.116578

Martina Nobilo , Saeed Salehi , Håkan Nilsson

With the increasing share of intermittent renewable electric energy sources, such as wind and solar power, the electric grid risks becoming imbalanced. In regions where hydropower provides a significant share of the renewable electric power production, hydropower has a great potential to mitigate some of this imbalance through flexible and fast-responsive operation. This involves frequent starts and stops, continuous regulation, and off-design operating conditions, for which the machines were not designed. New questions arise for hydropower, such as how much the lifetime of the machines is reduced, how the maintenance intervals should be determined, the costs, and the limits of safe operation. This review paper investigates the extent to which lifetime analysis has been used to answer these questions whenever hydropower is used to stabilize a renewable electric energy system. The focus is on fatigue damage, which is a lifetime reduction mechanism strongly connected to the new kind of operation of hydraulic turbines in a renewable energy system. The review summarizes both experimental and numerical methods and lists the alternative steps required for a complete lifetime analysis of hydro turbines. It is found that a few studies do indeed indicate quantitatively that the lifetime of hydraulic turbines is reduced by operating at off-design, but most studies do not come close to a complete lifetime prediction. This reveals an important gap in research and highlights the need for further studies that quantitatively answer the questions related to potential problems for hydropower as a regulating resource in a renewable electric energy system.

随着风能和太阳能等间歇性可再生电力的份额越来越大，电网面临着失衡的风险。在水力发电在可再生能源发电中占很大比例的地区，水力发电具有通过灵活和快速反应的运行来缓解这种不平衡的巨大潜力。这包括频繁的启动和停止，连续调节，和非设计的操作条件，这些机器不是设计的。水电出现了新的问题，如机器的寿命缩短了多少，维护间隔应该如何确定，成本以及安全运行的限制。这篇综述论文调查了寿命分析在多大程度上被用来回答这些问题，每当水力发电被用来稳定可再生电力系统时。疲劳损伤是一种与可再生能源系统中水轮机新型运行方式密切相关的寿命降低机制。综述总结了实验和数值方法，并列出了水轮机完整寿命分析所需的替代步骤。研究发现，少数研究确实定量地表明水轮机非设计运行会降低水轮机的寿命，但大多数研究并没有接近完整的寿命预测。这揭示了研究中的一个重要空白，并突出了进一步研究的必要性，以定量地回答水电作为可再生电力系统中调节资源的潜在问题。

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引用次数: 0

Dynamic modeling of alkaline water electrolysis cell with consideration of two-phase bubble transport for renewables dedicated operation 考虑两相气泡输运的可再生能源专用碱性电解池动态建模

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-06 DOI: 10.1016/j.rser.2025.116579

Dohyung Jang , Haeseong Shin , Hee-Sun Shin , Hyun-Seok Cho , Won Chul Cho , Sanggyu Kang

A one-dimensional dynamic model has been developed to analyze the dynamic characteristics of alkaline water electrolysis (AWE) in response to variable load changes. In the model, the control volume is discretized in a perpendicular direction according to the general zero-gap alkaline water electrolysis cell configuration. Dynamic conservation equations are applied to resolve the mass and energy balances. Each control volume is configured with individual and localized properties and is associated with adjacent control volumes to model the entire cell assembly. The model effectively simulates observed experimental data, especially the cell voltage dynamic response shape after changes to the current density. The validated model is used to investigate the influence of key physical factors on the dynamic cell voltage response. The results reveal that the time delay caused by temperature changes is considerably longer than that induced by gas saturation, which stabilizes much more rapidly after a load change. Based on the parametric study, an operating condition control strategy for realizing dynamic stability is presented. The dynamic model developed in this original study has been demonstrated to be a useful tool for investigating the effect of inlet conditions and load changes. Moreover, it can contribute to the development of control strategies for enhancing green hydrogen production performance with fluctuating power sources.

建立了一维动态模型，分析了碱电解过程随负荷变化的动态特性。在模型中，控制体积按照一般的零间隙碱水电解池的配置，在垂直方向上离散化。采用动力学守恒方程求解质量和能量平衡。每个控制卷都配置有单独的局部属性，并与相邻的控制卷相关联，以对整个单元组件进行建模。该模型有效地模拟了实验观测数据，特别是电池电压随电流密度变化后的动态响应形状。利用验证后的模型研究了关键物理因素对电池动态电压响应的影响。结果表明，温度变化引起的时间延迟比含气饱和度引起的时间延迟要长得多，在负荷变化后稳定速度要快得多。在参数化研究的基础上，提出了实现系统动态稳定的工况控制策略。在这项原始研究中建立的动态模型已被证明是研究入口条件和负载变化影响的有用工具。此外，它还有助于制定控制策略，以提高波动电源下的绿色制氢性能。

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引用次数: 0

Data-driven solutions for microgrids energy management systems: A state-of-the-art survey on current trends and future directions 微电网能源管理系统的数据驱动解决方案：对当前趋势和未来方向的最新调查

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-06 DOI: 10.1016/j.rser.2025.116592

S. Habibnia , M. Faraji , M.H. Alizadeh , M. Mollayousefi Zadeh , R. Caire , G.B. Gharehpetian , J.M. Guerrero

The rising global energy demand, depletion of fossil fuels, and growing environmental concerns have accelerated the integration of renewable energy sources into modern power systems. Microgrids offer an effective solution to enhance efficiency, reliability, and sustainability, but their operation is complicated by the intermittent and uncertain nature of renewable generation. Advanced energy management is therefore essential to achieve optimal performance. This paper presents a comprehensive review of energy management techniques, addressing alternating current, direct current, and hybrid network configurations, as well as operational objectives, constraints, and control structures, with a particular focus on data-driven approaches. Unlike earlier reviews, this study examines both model-based and data-driven strategies and includes a bibliometric analysis to identify research trends. The findings indicate that most existing approaches remain centralized and primarily target cost minimization, while ancillary services such as voltage regulation, frequency control, and cybersecurity remain underexplored. Although data-driven methods provide strong capabilities for forecasting and optimization, they face challenges related to data quality, overfitting, and computational cost. Future directions highlighted include neural networks and ensemble learning for accurate forecasting, reinforcement learning for adaptive real-time decision-making, data-driven model predictive control for operational scheduling, fuzzy logic for uncertainty handling, evolutionary algorithms for complex multi-objective optimization, and federated learning for decentralized and privacy-preserving coordination. By systematically mapping these methods and research gaps, this review provides practical insights for advancing sustainable energy management in microgrids.

全球能源需求的上升、化石燃料的枯竭和日益增长的环境问题加速了可再生能源与现代电力系统的整合。微电网为提高效率、可靠性和可持续性提供了有效的解决方案，但可再生能源发电的间歇性和不确定性使其运行变得复杂。因此，先进的能源管理对于实现最佳性能至关重要。本文全面回顾了能源管理技术，包括交流、直流和混合网络配置，以及操作目标、约束和控制结构，特别关注数据驱动的方法。与之前的综述不同，本研究考察了基于模型和数据驱动的策略，并包括文献计量分析来确定研究趋势。研究结果表明，大多数现有方法仍然是集中的，主要目标是成本最小化，而诸如电压调节、频率控制和网络安全等辅助服务仍未得到充分开发。尽管数据驱动方法为预测和优化提供了强大的能力，但它们面临着数据质量、过拟合和计算成本等方面的挑战。未来的重点方向包括用于精确预测的神经网络和集成学习，用于自适应实时决策的强化学习，用于操作调度的数据驱动模型预测控制，用于不确定性处理的模糊逻辑，用于复杂多目标优化的进化算法，以及用于分散和隐私保护协调的联邦学习。通过系统地绘制这些方法和研究差距，本综述为推进微电网的可持续能源管理提供了实际见解。

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引用次数: 0

Wind energy acceptability across five major economies: A comparative analysis 风能在五个主要经济体中的可接受性：比较分析

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-06 DOI: 10.1016/j.rser.2025.116564

Daniel Lindvall , Erik Elwing , Milla Marzelius , Niklas Harring

Wind power is a cornerstone of global efforts to decarbonize energy systems, yet its expansion is often hindered by local opposition. Previous studies suggest that perceptions of distributive injustice and perceived lack of community benefits are common sources of contention. Compensation schemes have therefore been proposed to enhance public acceptance, but little is known about their effectiveness across diverse national contexts. To address this gap, this article assesses public support for wind energy, with and without compensation, using original survey data from five democratic countries spanning five continents: Brazil, Germany, India, South Africa, and the United States. The findings show consistently high levels of support for wind energy, with stronger acceptance observed in emerging economies compared to Germany and the United States. Left-leaning ideology and climate concern are associated with stronger support for wind energy across all countries, yet the results are otherwise context-dependent. While this study finds that compensation to residents living near wind turbines tends to increase support among individuals initially negative to wind power, the effects are modest. In contrast, supportive individuals may become more skeptical when monetary incentives are introduced, suggesting that such measures may undermine altruistic or pro-environmental motivations. In the United States, right-leaning individuals who are typically more skeptical of wind energy respond more favorably to compensation, while the opposite effect is observed in India and South Africa. By providing a cross-continental comparison, this study offers a more globally inclusive perspective on the social factors shaping public acceptance of wind energy.

风力发电是全球能源系统脱碳努力的基石，但它的扩张经常受到当地反对的阻碍。先前的研究表明，对分配不公的看法和对社区利益缺乏的看法是争论的常见来源。因此，提出了补偿方案以提高公众的接受度，但对其在不同国家背景下的有效性知之甚少。为了解决这一差距，本文使用来自巴西、德国、印度、南非和美国五大洲五个民主国家的原始调查数据，评估了公众对风能的支持，包括有补偿和没有补偿。调查结果显示，对风能的支持程度一直很高，与德国和美国相比，新兴经济体对风能的接受程度更高。左倾意识形态和对气候问题的担忧与各国对风能的大力支持有关，但结果则取决于具体情况。虽然这项研究发现，对居住在风力涡轮机附近的居民的补偿往往会增加最初对风力发电持否定态度的个人的支持，但效果并不明显。相反，当引入金钱激励时，支持的个人可能会变得更加怀疑，这表明这些措施可能会破坏利他主义或亲环境的动机。在美国，通常对风能持怀疑态度的右倾人士更倾向于补偿，而在印度和南非则相反。通过跨大陆的比较，本研究对影响公众接受风能的社会因素提供了一个更具全球包容性的视角。

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引用次数: 0

Artificial intelligence and sustainable development: A global nonlinear analysis of the moderating roles of human capital and renewable energy 人工智能与可持续发展：人力资本与可再生能源调节作用的全局非线性分析

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-05 DOI: 10.1016/j.rser.2025.116574

Chen Zhang , Rongrong Li , Qiang Wang

Artificial intelligence (AI) is reshaping the landscape of sustainable development, offering unprecedented opportunities while introducing systemic risks. This study examines the nonlinear and heterogeneous impacts of AI on sustainable development. Using a projection pursuit model based on genetic algorithms, we quantify national AI development levels and integrate quadratic moderation models and curve simulation to trace the dual trajectories of AI impacts on sustainable development. Our findings uncover distinct non-linear patterns: AI exerts an inverted U-shaped effect on HDI, with structural unemployment, algorithmic bias, and privacy erosion emerging in later stages. Conversely, environmental sustainability follows a U-shaped path: foundational AI technologies, over time, significantly reduce carbon intensity, while applied AI may initially increase emissions due to energy-intensive deployment. Crucially, AI can optimize renewable energy efficiency, while labor market imbalances may undermine AI's positive impact on carbon reduction and social welfare. Income-level heterogeneity further reveals that high-income countries are more capable of translating AI into sustainability dividends, while lower-income economies remain constrained by technological bottlenecks and structural mismatches. This study advances "green AI" by uncovering how AI affects sustainable development, emphasizing the need for joint investments in renewables, skilled labor, and governance to maximize benefits and limit risks.

人工智能（AI）正在重塑可持续发展的格局，在带来系统性风险的同时，也提供了前所未有的机遇。本研究考察了人工智能对可持续发展的非线性和异质性影响。采用基于遗传算法的投影寻踪模型，量化各国人工智能发展水平，并结合二次调节模型和曲线模拟，追踪人工智能对可持续发展影响的双重轨迹。我们的研究结果揭示了明显的非线性模式：人工智能对人类发展指数产生倒u型影响，在后期出现结构性失业、算法偏差和隐私侵蚀。相反，环境可持续性遵循u型路径：随着时间的推移，基础人工智能技术显著降低了碳强度，而应用人工智能最初可能会由于能源密集型部署而增加排放。至关重要的是，人工智能可以优化可再生能源效率，而劳动力市场失衡可能会削弱人工智能对碳减排和社会福利的积极影响。收入水平的异质性进一步表明，高收入国家更有能力将人工智能转化为可持续性红利，而低收入经济体仍受到技术瓶颈和结构性错配的制约。这项研究通过揭示人工智能如何影响可持续发展来推进“绿色人工智能”，强调需要在可再生能源、熟练劳动力和治理方面进行联合投资，以实现利益最大化和风险最小化。

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引用次数: 0

Advances and challenges in intermediate temperature alkaline water electrolysis: A critical review 中温碱水电解的研究进展与挑战

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-05 DOI: 10.1016/j.rser.2025.116569

Rubab Zahra , Masoud Moshtaghi , Vesa Ruuskanen , Antti Kosonen , Jero Ahola , Christodoulos Chatzichristodoulou , Jens Oluf Jensen , Arunachala Mada Kannan , Pertti Kauranen

Hydrogen is key for global decarbonization, with alkaline water electrolysis as the leading method for green hydrogen production. Raising the operating temperature from the current norm of 60 to 90 °C to above 100 °C would improve the electrode kinetics, leading to lower specific energy consumption, and more value of waste heat. Increasing the temperature of potassium hydroxide electrolytes and the product gases results in severe corrosion issues. Thus, the benefits of improved performance come with the cost of more expensive materials. Comprehensive insights into electrolyzer components properties and the stack's design considerations are crucial for assessing the advantages and drawbacks of operating at intermediate temperatures of 100 to 200 °C. This review underscores the substantial emphasis in prior research on thermodynamic and kinetic enhancements, the exploration of catalytic materials, and the examination of different alloys, alongside safety considerations. Unlike previous reviews that primarily focused on materials, this work emphasizes the often-overlooked aspects of electrolyte properties, optimization of stack design, and the techno-economic implications of intermediate-temperature operation. Our analysis indicates that stray currents, gas mixing in the lye circulation loop, and gas crossover through the diaphragm worsen at higher temperatures, despite increased current density. A simplified capital cost analysis for an alkaline electrolysis stack at 120 °C indicates a 19 % increase in stack costs, with the system costs more than doubling if high-nickel alloys are used. Continuous operation is required to offset the higher capital investment and to fully benefit from the lower energy consumption of the intermediate temperature system.

氢是全球脱碳的关键，碱水电解是绿色制氢的主要方法。将工作温度从目前的60 ~ 90℃提高到100℃以上，可以改善电极动力学，降低比能耗，提高废热价值。提高氢氧化钾电解质和产物气体的温度会导致严重的腐蚀问题。因此，提高性能的好处伴随着更昂贵的材料成本。全面了解电解槽组件的特性和堆栈的设计考虑对于评估在100至200°C的中间温度下工作的优缺点至关重要。这篇综述强调了在热力学和动力学增强方面的先前研究的实质性重点，催化材料的探索，以及不同合金的检查，以及安全考虑。与之前主要关注材料的综述不同，这项工作强调了电解质特性、堆设计优化以及中温操作的技术经济影响等经常被忽视的方面。我们的分析表明，尽管电流密度增加，但在较高的温度下，杂散电流、碱液循环回路中的气体混合以及通过隔膜的气体交叉会恶化。对120°C碱性电解堆的简化资本成本分析表明，堆成本增加19%，如果使用高镍合金，系统成本将增加一倍以上。需要连续运行以抵消较高的资本投资，并充分受益于中温系统的较低能耗。

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引用次数: 0

Physically consistent sectoral pathways for phasing out fossil fuels 逐步淘汰化石燃料的实际一致的部门路径

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-05 DOI: 10.1016/j.rser.2025.116575

Ugo Legendre , Louis Delannoy , Pablo Brito-Parada

The transition away from fossil fuels relies on a range of strategies, including deploying low-carbon, electricity-producing energy sources. To understand how much electricity is needed to substitute fossil fuels, sectors of the economy being electrified must be analysed discretely, as their suitability for electrification varies significantly. Constructing, operating, and maintaining these renewable power plants requires substantial amounts of energy. Here, we propose a model which calculates the electricity required to electrify each major sector, and quantifies the energy required to deploy the renewable power plants producing this electricity. We apply this model to the European Union across scenarios phasing out fossil fuels by 2035, 2050, 2075, and 2100. We find that transition energy requirements increase with transition speed and that they are greater than the current energy spent on obtaining fossil fuels in the more ambitious scenarios. We also reveal the energy requirements of each sector, disaggregated into categories (power plants, grid extensions, and end-use devices) allowing for a comparative analysis of their relative significance. We produce quantitative evidence supporting the emerging conceptual consensus that a rapid energy transition will require reallocating significant amounts of energy from other end uses to transition-related uses. This could lead to societal disruptions, as part of some energy-dependent services (e.g., transport, residential heating, manufacturing etc.) will have to be forgone to carve an energy budget for the transition. Our model can provide a quantitative basis for assessing these disruption risks, and support policy- and decision-making to mitigate them.

从化石燃料的过渡依赖于一系列战略，包括部署低碳发电能源。为了了解替代化石燃料需要多少电力，必须对正在电气化的经济部门进行离散分析，因为它们对电气化的适用性差异很大。建造、运营和维护这些可再生能源发电厂需要大量的能源。在这里，我们提出了一个模型，该模型计算了每个主要部门电气化所需的电力，并量化了部署生产这些电力的可再生能源发电厂所需的能源。我们将这一模型应用于欧盟在2035年、2050年、2075年和2100年逐步淘汰化石燃料的情景。我们发现，过渡能源需求随着过渡速度的增加而增加，并且在更雄心勃勃的情景中，它们比目前用于获取化石燃料的能源消耗要大。我们还揭示了每个部门的能源需求，并将其分类（发电厂、电网扩展和最终用途设备），以便对其相对重要性进行比较分析。我们提供了量化证据来支持新兴的概念共识，即快速的能源转型将需要将大量的能源从其他终端用途重新分配到与转型相关的用途。这可能会导致社会混乱，因为一些依赖能源的服务（如交通、住宅供暖、制造业等）将不得不放弃，以便为转型制定能源预算。我们的模型可以为评估这些中断风险提供定量基础，并支持政策和决策以减轻这些风险。

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引用次数: 0

Reinventing membranes: Trends in proton exchange materials for zero-emission fuel cell technologies 重塑膜：零排放燃料电池技术中质子交换材料的发展趋势

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-12-04 DOI: 10.1016/j.rser.2025.116566

N.R. Banapurmath , Ashok M. Sajjan , K.S. Nivedhitha , Leena V. Hublikar , Bipin S. Chikkatti , D. Palaniswamy , Narasimha Raghavendra , Irfan Anjum Badruddin , Essam R.I. Mahmoud , Kartheek Ravulapati

This study is a comprehensive, systematic review of the latest innovations in proton exchange membrane fuel cells (PEMFCs) that broadly outlines the interrelated areas of technology applications, operational properties, and environmental changes as measured by life cycle assessment (LCA). Advances in membrane materials, cell designs, and system-integration techniques that significantly improve proton conductivity, thermal stability, and cost-effectiveness, are brought together by the research. From the various studies the comparison shows that hydrocarbon-based and nanocomposite membranes can attain conductivities of more than 0.1 S/cm with their thermal stabilities (120–180 °C) being quite excellent, whereas bio-based alternatives may achieve up to a 50 % reduction in greenhouse gas emissions over the entire life cycle. The results show that fuel cells based on proton exchange membranes are therefore very close to being employed in the areas of transportation, power generation for buildings, and small-scale energy devices, hence like a combination with a green hydrogen production method would be the best. According to this survey, a synergy between the technical performance and environmental friendliness is the hallmark of this review, thus making it possible to outline the strategic directions for future developments of PEMFC technologies with eco-efficient characteristics.

本研究对质子交换膜燃料电池（pemfc）的最新创新进行了全面、系统的回顾，概述了通过生命周期评估（LCA）测量的技术应用、操作特性和环境变化的相关领域。在膜材料、电池设计和系统集成技术方面的进步，显著提高了质子的导电性、热稳定性和成本效益。从各种研究中比较表明，碳氢化合物基膜和纳米复合膜可以获得超过0.1 S/cm的电导率，其热稳定性（120-180°C）非常出色，而生物基替代品可以在整个生命周期内减少高达50%的温室气体排放。结果表明，基于质子交换膜的燃料电池非常接近应用于交通运输、建筑发电和小型能源设备等领域，因此与绿色制氢方法相结合将是最好的选择。根据这项调查，技术性能和环境友好性之间的协同作用是本综述的标志，从而可以概述具有生态效率特征的PEMFC技术未来发展的战略方向。

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引用次数: 0