Renewable and Sustainable Energy Reviews最新文献_第6页

Next-generation paper electrodes: Linking fabrication techniques and high-performance materials for sustainable energy devices 下一代纸电极：可持续能源装置的连接制造技术和高性能材料

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-09 DOI: 10.1016/j.rser.2025.116696

Iqra Rabani , Gul E Arzu , Sensu Tunca , Young-Soo Seo , Karolien De Wael

Paper-based materials are emerging as a cutting-edge class of electroactive platforms for flexible and sustainable energy storage technologies, offering promising alternatives to conventional systems used in portable and wearable electronics. Derived primarily from cellulose, these materials exhibit exceptional mechanical flexibility, lightweight structure, tunable porosity, and rich surface chemistry, making them ideal for sustainable and high-performance electrochemical systems. This review highlights the recent progress in paper-based electrodes, focusing on two principal architectures: paper-supported and freestanding paper-like structures. Key fabrication methods, material design strategies, and electrochemical performance metrics are critically examined. Particular attention is given to paper-based supercapacitors (SCs), which offer advantages such as environmental friendliness, structural versatility, and compatibility with wearable and flexible electronics. The review further explores how advanced compositing techniques and structural engineering can significantly boost charge storage capabilities. This review examines the current challenges of mechanical resilience under stress, long-term cycling stability, and electrical conductivity, while also outlining potential future research directions. By bringing together these developments, it provides a unified framework and key insights to drive progress in green, flexible, and scalable energy storage technologies.

纸基材料正在成为柔性和可持续能源存储技术的前沿电活性平台，为便携式和可穿戴电子产品中使用的传统系统提供了有希望的替代品。这些材料主要来源于纤维素，具有优异的机械灵活性、轻质结构、可调节的孔隙率和丰富的表面化学性质，是可持续和高性能电化学系统的理想选择。本文综述了纸基电极的最新进展，重点介绍了两种主要结构：纸支撑结构和独立式纸状结构。关键的制造方法，材料设计策略，和电化学性能指标严格检查。特别关注纸质超级电容器（SCs），它具有环境友好，结构通用性以及与可穿戴和柔性电子产品的兼容性等优点。这篇综述进一步探讨了先进的复合技术和结构工程如何显著提高电荷存储能力。这篇综述探讨了当前在应力下的机械弹性、长期循环稳定性和电导率方面的挑战，同时也概述了潜在的未来研究方向。通过汇集这些发展，它提供了一个统一的框架和关键见解，以推动绿色，灵活和可扩展的能源存储技术的进步。

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引用次数: 0

Photothermal heating applications in buildings: Development, challenges and optimization 光热采暖在建筑中的应用：发展、挑战和优化

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-09 DOI: 10.1016/j.rser.2025.116693

Rui Tang , Wing-Cheung Law , Yang Lu , Cheuk Lun Chow , Denvid Lau

Photothermal heating, which enhances solar radiation absorption and converts it into thermal energy using photothermal nanomaterials, offers significant potential for addressing energy sustainability challenges. Considering the building sector responsible for over one-third of global energy consumption and carbon emissions, this review comprehensively explores the incorporation of photothermal technology into building systems and proposes optimization frameworks to promote energy-efficient, low-carbon buildings. With foundational insights into photothermal material properties and energy conversion mechanisms, the study evaluates the sustainable heating performance and energy-saving potential of photothermal applications across building envelope components, including windows, roofs and walls. An examination of numerous case studies of photothermal building envelopes reveals six major challenges to widespread adoption: limitations in heating capacity, uneven contributions from specific envelope elements, seasonal compatibility constraints, compromised indoor thermal performance, durability degradation, and dependence on geography and climate zones. To overcome these challenges, dual optimization strategies are proposed, including the enhancement of material-level photothermal properties through nanoparticle morphology modulation and the integration of supplementary heating methods at the building scale to refine indoor thermal management. This review compiles the various advances, challenges, and scalable solutions for deploying photothermal technology in the building envelopes, providing an optional roadmap for the development of sustainable buildings.

光热加热可以增强太阳辐射的吸收并利用光热纳米材料将其转化为热能，为解决能源可持续性挑战提供了巨大的潜力。考虑到建筑行业占全球能源消耗和碳排放的三分之一以上，本综述全面探讨了将光热技术纳入建筑系统，并提出了优化框架，以促进节能、低碳建筑。通过对光热材料特性和能量转换机制的基本了解，本研究评估了光热应用在建筑围护结构组件（包括窗户、屋顶和墙壁）上的可持续供暖性能和节能潜力。对光热建筑围护结构的大量案例研究揭示了广泛采用的六个主要挑战：供热能力的限制，特定围护结构元素的不均匀贡献，季节性兼容性约束，室内热性能受损，耐久性下降以及对地理和气候区的依赖。为了克服这些挑战，提出了双重优化策略，包括通过纳米颗粒形态调制来增强材料级光热性能，以及在建筑尺度上集成补充加热方法来改善室内热管理。本文综述了在建筑围护结构中部署光热技术的各种进展、挑战和可扩展的解决方案，为可持续建筑的发展提供了可选的路线图。

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引用次数: 0

Concrete-based thermal energy storage (CTES) for concentrated solar power plants and built environment 基于混凝土的热能储存（CTES）用于聚光太阳能发电厂和建筑环境

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-08 DOI: 10.1016/j.rser.2025.116692

Nghia P. Tran , Tuan D. Ngo

Concrete-based thermal energy storage (CTES) systems present a promising solution for reducing carbon emissions in energy-intensive sectors. This paper presents a comprehensive review of CTES technologies, covering constituent materials, including cementitious and alkali-activated binders, aggregates, fibres, conductive additives, moisture, and phase change materials, and their influence on thermal performance. Key thermal properties such as conductivity, heat capacity, thermal expansion, mass loss, and pore structure evolution under thermal cycling are critically analysed. System-level testing, prototype configurations, and simulation studies are reviewed to evaluate CTES performance. Representative case studies are summarised across building and industrial applications. Finally, the review outlines current challenges, such as heat loss and material degradation, and explores future opportunities in hybrid systems, alternative binders, and improved system integration. This work offers valuable insights to support the design, optimisation, and deployment of sustainable CTES technologies aligned with global net-zero targets by 2050.

基于混凝土的热能储存（CTES）系统为减少能源密集型行业的碳排放提供了一个有前途的解决方案。本文对CTES技术进行了全面的回顾，涵盖了组成材料，包括胶凝剂和碱活化粘合剂、骨料、纤维、导电添加剂、湿气和相变材料，以及它们对热性能的影响。关键的热性能，如电导率，热容，热膨胀，质量损失，和孔隙结构在热循环下的演化进行了严格的分析。系统级测试，原型配置和仿真研究进行审查，以评估CTES性能。总结了建筑和工业应用中的代表性案例研究。最后，综述概述了当前面临的挑战，如热损失和材料降解，并探讨了混合系统、替代粘合剂和改进系统集成的未来机会。这项工作为支持可持续CTES技术的设计、优化和部署提供了宝贵的见解，以实现到2050年全球净零排放目标。

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引用次数: 0

Advancing hydrogen production: A comprehensive review of wastewater reforming techniques, feedstocks, and opportunities 推进制氢：废水转化技术、原料和机遇的综合综述

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-08 DOI: 10.1016/j.rser.2025.116680

Robert E.F. Cincotta , Charles Nye , Xiaokun Yang

Wastewater is produced across nearly all human activities and requires treatment to safeguard human health and the natural environment. Treatment of wastewater often requires a large amount of thermal energy, resulting in wasted heat after the treatment process. Because hydrocarbon reforming needs both water and heat, the integration of wastewater treatment with hydrocarbon reforming, a process that produces synthesis gas rich in hydrogen, offers an excellent opportunity to utilize this waste heat and the impurities in wastewater to produce valuable hydrogen gas, to minimize waste from industrial processes, and to integrate water treatment with the hydrogen economy. Yet, no comprehensive literature review has been conducted to examine the integration of reforming and wastewater.

To address this lack, we summarize the variety of catalytic reforming techniques available in the open literature and review the current literature on wastewater reforming with these techniques. Subsequently, we conduct a review of common types of wastewater contaminants and their possible effects on reforming catalyst performance and life. Finally, three underexamined wastewater sources are identified, namely, oilfield wastewater, geothermal water, and mining and mineral processing wastewater, and their potential for future study as a reforming feedstock is examined.

几乎所有人类活动都会产生废水，需要进行处理以保障人类健康和自然环境。废水的处理往往需要大量的热能，导致处理过程后产生废热。由于碳氢化合物重整既需要水也需要热，因此将废水处理与碳氢化合物重整（一种产生富氢合成气的过程）相结合，提供了一个极好的机会，可以利用这些废热和废水中的杂质来产生有价值的氢气，从而最大限度地减少工业过程中的浪费，并将水处理与氢经济相结合。然而，目前还没有全面的文献综述来研究转化和废水的整合。为了解决这一不足，我们总结了开放文献中可用的各种催化重整技术，并回顾了使用这些技术进行废水重整的当前文献。随后，我们对常见的废水污染物类型及其对重整催化剂性能和寿命的可能影响进行了综述。最后，确定了三种未充分研究的废水来源，即油田废水、地热水、采矿和矿物加工废水，并对其作为重整原料的未来研究潜力进行了研究。

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引用次数: 0

Reinforcement learning-based optimization framework for carbon emission reduction and circularity enhancement in buildings 基于强化学习的建筑碳减排与循环优化框架

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-08 DOI: 10.1016/j.rser.2025.116701

Bigyeong Shin, Jihee Nam, Sumin Kim

The increasing demand to reduce carbon emissions and resource consumption in the construction sector has necessitated the integration of circular economy (CE) principles with climate change mitigation (CM) strategies. This study proposes a novel framework that integrates the CE and CM objectives by identifying optimal policies using reinforcement learning (RL), specifically Q-learning. The environmental impacts (EIs) were assessed across the entire building life cycle using a cradle-to-cradle (C2C) system boundary. The effectiveness of the framework was demonstrated through a case study involving three alternatives for exterior materials, three for window systems, and two for structural systems. By incorporating the actions related to the Rs framework—repair, replacement, reuse, and recycling—into the RL model, the study derives optimal maintenance and replacement strategies throughout the building life cycle. When compared with baseline scenarios—none (no repair actions) and 10_minor (repairs made every 10 years)—the RL-based policy reduces the global warming potential by up to 42.9 % and 23.1 %, with average reductions of 12.5 % and 5.7 %, respectively. It also decreases the total waste generation by 29.6 % and 15.5 %, respectively. This research promotes methodological approaches to sustainable building analysis by providing a data-driven framework that integrates RL with life cycle environmental assessment. It supports informed decision-making by identifying strategies that enhance durability and circularity while minimizing the environmental burden.

减少建筑部门碳排放和资源消耗的需求日益增加，因此有必要将循环经济原则与减缓气候变化战略相结合。本研究提出了一个新的框架，通过使用强化学习（RL），特别是q学习，确定最佳策略，将CE和CM目标集成在一起。使用摇篮到摇篮（C2C）系统边界对整个建筑生命周期的环境影响（ei）进行评估。框架的有效性通过一个案例研究得到了证明，该案例研究涉及三种外部材料的替代方案，三种用于窗户系统，两种用于结构系统。通过将与Rs框架相关的行为（维修、更换、再利用和回收）纳入RL模型，该研究得出了整个建筑生命周期的最佳维护和更换策略。与基线情景（无修复行动）和10_minor（每10年进行一次修复）相比，基于rl的政策将全球变暖潜能值降低了42.9%和23.1%，平均降幅分别为12.5%和5.7%。它还使总废物产生量分别减少29.6%和15.5%。本研究通过提供一个数据驱动的框架，将RL与生命周期环境评估相结合，促进了可持续建筑分析的方法学方法。它通过确定提高耐久性和循环性的策略来支持明智的决策，同时最大限度地减少环境负担。

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引用次数: 0

Advanced applications of triboelectric sensors across human body regions 摩擦电传感器在人体各部位的先进应用

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-07 DOI: 10.1016/j.rser.2025.116694

Shunhuan Hong , Yiyang Duan , Yan Zhang , Qingli Xu , Ping Wang

This review presents a systematic overview of recent progress in triboelectric sensors (TESs) for human body applications. In contrast to previous reviews that often provide broad overviews of wearable or implantable devices, this study introduces an anatomical region–based classification framework that explicitly links device design to specific body sites. Within this framework, in vivo (implantable) and in vitro (wearable) applications are compared, with a particular focus on their differences in design strategies, performance compromises, and application-specific challenges. The fundamental working principles and operating modes of triboelectric nanogenerators (TENGs) are outlined, and representative devices are summarized. Furthermore, unresolved technical bottlenecks are critically examined. By integrating fragmented studies into a coherent structure, this review not only delivers a comprehensive synthesis of current TES research but also provides constructive guidance for the design and development of next-generation TESs.

本文对近年来应用于人体的摩擦电传感器的研究进展进行了系统的综述。与以往对可穿戴或植入式设备进行广泛概述的综述不同，本研究引入了一种基于解剖区域的分类框架，明确地将设备设计与特定的身体部位联系起来。在这个框架内，比较了体内（植入式）和体外（可穿戴）应用，特别关注它们在设计策略、性能妥协和应用特定挑战方面的差异。概述了摩擦纳米发电机（TENGs）的基本工作原理和工作模式，并对其代表性器件进行了总结。此外，还对未解决的技术瓶颈进行了严格的检查。通过将零散的研究整合到一个连贯的结构中，本综述不仅全面综合了当前的TES研究，而且为下一代TESs的设计和开发提供了建设性的指导。

引用次数: 0

A dataset and protocol to enhance power system models with fossil-fuel-fired electricity generating units 一个数据集和协议，以提高与化石燃料发电机组的电力系统模型

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-07 DOI: 10.1016/j.rser.2025.116499

Xiaodong Zhang , Dalia Patino-Echeverri , Mingquan Li

Decarbonizing the electric power sector requires integrating large shares of variable renewable energy resources. Addressing the challenges created by this integration requires analysis with power system models that have detailed and transparent representations of fossil-fuel-fired electricity-generating units. In this paper, we present two key contributions. First, we provide a dataset containing the operational and cost parameters of coal, gas, and oil-fired electricity-generating units, compiled from an extensive literature review. This dataset includes technical constraints (e.g., minimum power output, ramp rates, and minimum up/down times) and cost parameters (e.g., start-up, shut-down, and no-load costs) that are rarely available in public databases but are essential for production cost and capacity expansion models. Second, we propose a protocol to integrate this dataset with publicly available data sources, enabling researchers to create realistic, unit-level representations of power system assets without relying on proprietary data. To illustrate the proposed protocol, we provide a step-by-step walkthrough of the process used to represent fossil-fuel-fired EGUs in two distinct power systems: the Duke Energy Carolinas & Duke Energy Progress System in the U.S., and the China Southern Power Grid. The protocol helps avoid oversimplified assumptions that may bias results, thereby supporting the development of reliable, economical, and environmentally sustainable electricity systems.

电力部门的脱碳需要整合大量可变的可再生能源。解决这种整合带来的挑战需要对电力系统模型进行分析，这些模型具有化石燃料发电机组的详细和透明的表示。在本文中，我们提出了两个关键的贡献。首先，我们提供了一个数据集，其中包含燃煤、天然气和燃油发电机组的运行和成本参数，该数据集来自广泛的文献综述。该数据集包括技术限制（例如，最小功率输出、斜坡速率和最小启动/关闭时间）和成本参数（例如，启动、关闭和空载成本），这些参数在公共数据库中很少可用，但对生产成本和产能扩展模型至关重要。其次，我们提出了一种协议，将该数据集与公开可用的数据源集成在一起，使研究人员能够在不依赖专有数据的情况下创建现实的、单元级的电力系统资产表示。为了说明所提出的协议，我们提供了一个用于在两个不同的电力系统中代表化石燃料燃烧的egu的过程的逐步介绍：美国的杜克能源卡罗来纳和杜克能源进展系统，以及中国南方电网。该协议有助于避免可能导致结果偏差的过于简化的假设，从而支持开发可靠、经济和环境可持续的电力系统。

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引用次数: 0

Platinum single atom alloy-based catalysts for oxygen reduction reaction in proton exchange membrane fuel cells 质子交换膜燃料电池氧还原反应用铂单原子合金催化剂

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-07 DOI: 10.1016/j.rser.2025.116682

Minmin Lai , Rui Wang , Zhilin Chen , Ning Lu , Feiyu Jian , Yihao Long , Liang He , Hui Tang , Jilin Xu , Kakarla Raghava Reddy , Ch Venkata Reddy , Tejraj M. Aminabhavi

Proton exchange membrane fuel cells (PEMFCs) are essential for transitioning to clean energy technologies. The oxygen reduction reaction (ORR) at the cathode is a slow and energy-demanding four-electron process, while Pt significantly enhances the ORR rate, but its scarcity and high costs pose substantial challenges to the development of PEMFCs. This review presents Pt single-atom alloy catalysts (Pt SAACs) as innovative solutions to dramatically reduce Pt usage, while maintaining a high performance. Pt SAACs combine the advantages of both alloy and single-atom catalysts, featuring a unique electronic structure, well-defined active sites, and optimal atomic utilization, thereby offering a sustainable pathway for future advancements in PEMFC technology. The review discusses properties, synthesis methods, and characterization techniques associated with Pt SAACs. Various synthetic strategies are discussed, including electrochemical substitution, wet chemistry, and atomic layer deposition as well as other practical methods to ensure precise control over Pt atomic dispersion. These techniques serve as benchmarks for the design of efficient electrocatalysts. Advanced characterization methods such as high-angle annular dark-field scanning transmission electron microscopy and X-ray absorption fine-structure spectroscopy are highlighted to elucidate the structure and function of these Pt SAACs. The mechanisms by which Pt SAACs modulate ORR activity demonstrate their significant advantages over the conventional Pt-based catalysts in PEMFC applications. Finally, challenges to enhance stability and reduce catalyst degradation under PEMFC operating conditions are discussed to propose future research directions.

质子交换膜燃料电池（pemfc）是向清洁能源技术过渡的关键。阴极上的氧还原反应（ORR）是一个缓慢且需要能量的四电子过程，而Pt可以显著提高ORR速率，但其稀缺性和高昂的成本给pemfc的发展带来了很大的挑战。本文介绍了铂单原子合金催化剂（Pt SAACs）作为一种创新的解决方案，可以在保持高性能的同时大幅减少铂的使用。Pt SAACs结合了合金和单原子催化剂的优点，具有独特的电子结构、明确的活性位点和最佳的原子利用率，从而为PEMFC技术的未来发展提供了可持续的途径。综述了铂saac的性质、合成方法和表征技术。讨论了各种合成策略，包括电化学取代，湿化学和原子层沉积以及其他实用方法，以确保精确控制Pt原子分散。这些技术可作为设计高效电催化剂的基准。利用高角环形暗场扫描透射电子显微镜和x射线吸收精细结构光谱等先进的表征方法来阐明这些Pt SAACs的结构和功能。Pt SAACs调节ORR活性的机制表明，在PEMFC应用中，它们比传统的Pt基催化剂具有显著的优势。最后，讨论了在PEMFC操作条件下提高稳定性和减少催化剂降解所面临的挑战，并提出了未来的研究方向。

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引用次数: 0

Accelerating widespread adoption of direct air capture based on system perspective: Thermodynamic limits, geographical deployment, and clean energy integration 基于系统视角加速直接空气捕获的广泛采用：热力学限制、地理部署和清洁能源整合

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-06 DOI: 10.1016/j.rser.2026.116702

Chunfeng Li , Shuai Deng , Xiangkun Elvis Cao , Shuangjun Li

Direct Air Capture (DAC) is a critical negative emission technology essential to achieve the global climate targets. However, its widespread adoption is hindered by a multitude of technical, economic, deployment, and sustainability challenges. The purpose of this review is to bridge this critical gap by deconstructing the challenges and opportunities for DAC through a novel, three-tiered analytical framework. Basically, the fundamental challenge of DAC lies in the high energy consumption and low exergy efficiency associated with CO₂ enrichment from its low atmospheric concentration. Analysis suggests that the thermodynamic limits of different DAC pathways, which dictate their theoretical energy consumption, are the primary determinants of their technological maturity and potential for large-scale development. From the perspective of geographical deployment, the idealized notion of placing DAC facilities anywhere is unfeasible due to practical, location-specific constraints. Combining large-scale centralized hubs with agile distributed units is a critical enabler for achieving diversified and efficient deployment. Furthermore, as the environmental benefits of DAC are critically dependent on the availability of clean energy, effective integration with the energy system is paramount. The argument of this review is that DAC, when combined with CO₂ utilization and storage and powered by clean energy, may hold distinct advantages over Bioenergy with Carbon Capture and Storage (BECCS) in terms of theoretical removal potential and resource sustainability, presenting a fundamental opportunity for DAC to become a true negative carbon solution. By providing such a holistic synthesis, our work establishes a strategic roadmap for prioritizing research, investment, and policy, transforming the discourse from isolated technical problems to a cohesive system-engineering challenge.

直接空气捕获（DAC）是实现全球气候目标的关键负排放技术。然而，它的广泛采用受到众多技术、经济、部署和可持续性挑战的阻碍。本综述的目的是通过一个新颖的三层分析框架解构DAC的挑战和机遇，弥合这一关键差距。基本上，DAC的根本挑战在于其高能耗和低能效，与低大气浓度的CO2富集有关。分析表明，不同DAC途径的热力学极限决定了其理论能量消耗，是其技术成熟度和大规模发展潜力的主要决定因素。从地理部署的角度来看，由于实际的、特定地点的限制，将DAC设施放置在任何地方的理想概念是不可行的。将大规模集中式集线器与敏捷分布式单元相结合是实现多样化和高效部署的关键因素。此外，由于DAC的环境效益严重依赖于清洁能源的可用性，因此与能源系统的有效整合至关重要。这篇综述的论点是，当与二氧化碳利用和储存相结合并由清洁能源提供动力时，在理论去除潜力和资源可持续性方面，DAC可能比具有碳捕获和储存（BECCS）的生物能源具有明显的优势，为DAC成为真正的负碳解决方案提供了一个基本的机会。通过提供这样一个整体的综合，我们的工作为研究、投资和政策的优先排序建立了一个战略路线图，将话语从孤立的技术问题转变为一个有凝聚力的系统工程挑战。

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引用次数: 0

Artificial intelligence-based design optimization for wind turbines: A comprehensive review of its methodologies, applications, and challenges 基于人工智能的风力涡轮机设计优化：对其方法、应用和挑战的全面回顾

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2026-01-06 DOI: 10.1016/j.rser.2025.116697

Jianhao Fang , Weifei Hu , Jiale Liao , Xinyu Chen , Haotian Mo , Chang Jin , Yongshui Luo , Zhenyu Liu

Although use of wind energy has increased significantly in the recent years, the design optimization of wind turbines (WTs) remains hindered by challenges such as computational efficiency, multi-objective trade-offs, and system complexity. While the rapid evolution of artificial intelligence (AI) has offers innovative solutions for aerodynamic design, structural optimization, and control systems, a systematic synthesis on how AI paradigms address these cross-domain challenges in WT design optimization is lacking. To bridge this gap, this review provides a comprehensive survey of AI-based design optimization methodologies for WTs, categorizing into supervised learning-based methods, unsupervised learning-based methods, and reinforcement learning-based methods. These methods are systematically mapped to specific design optimization challenges across key WT subsystems, including blades, towers, and generators. Through a critical examination of 177 related publications, this review demonstrates AI's transformative impact on the design optimization methods for WTs, and identifies the critical challenges of the methods including data scarcity for novel designs, interpretability of black-box models, and integration of multi-physics constraints, etc. Finally, future work has been proposed to emphasize hybrid digital twin frameworks, federated learning for distributed optimization, and quantum-inspired algorithms for large-scale WT design optimization problems.

尽管近年来风能的使用显著增加，但风力涡轮机（WTs）的设计优化仍然受到计算效率、多目标权衡和系统复杂性等挑战的阻碍。虽然人工智能（AI）的快速发展为气动设计、结构优化和控制系统提供了创新的解决方案，但缺乏对人工智能范式如何解决小波变换设计优化中这些跨领域挑战的系统综合。为了弥补这一差距，本文对基于人工智能的WTs设计优化方法进行了全面调查，并将其分为基于监督学习的方法、基于无监督学习的方法和基于强化学习的方法。这些方法系统地映射到关键WT子系统（包括叶片、塔和发电机）的特定设计优化挑战。通过对177篇相关出版物的批判性审查，本综述展示了人工智能对WTs设计优化方法的变革性影响，并确定了这些方法的关键挑战，包括新设计的数据稀缺性、黑盒模型的可解释性以及多物理场约束的集成等。最后，提出了未来的工作，以强调混合数字孪生框架，分布式优化的联邦学习，以及大规模小波变换设计优化问题的量子启发算法。

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引用次数: 0