Renewable Energy最新文献_第8页

Meta-learning and proximal policy optimization driven two-stage emergency allocation strategy for multi-energy system against typhoon disasters 元学习和近端策略优化驱动的多能源系统抗台风灾害两阶段应急分配策略

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-02 DOI: 10.1016/j.renene.2024.121806

Guozhou Zhang , Weihao Hu , Yincheng Zhao , Zhengjie Cui , Jianjun Chen , Chao Tang , Zhe Chen

To achieve resilience improvement of the multi-energy system against typhoon disasters, this study designs a novel two-stage optimization framework that considers the emergency allocation of distributed resources under typhoon disasters to fully exploit the potential of distributed resources for resilience enhancement. Firstly, we formulate the emergency allocation of distributed resources as a Markov decision process. Then, a meta-learning-driven proximal policy optimization method is utilized to solve it. Different from that the existing reinforcement learning methods always ignore the unpredictable change caused by typhoon and keep multi-energy system dynamics invariant, limiting its control performance. The proposed method embeds meta-learning to fine-tune the pre-trained allocation policy to new tasks with high adaptability and few interactions. Finally, comparison results with other benchmark methods are carried out and shows that the proposed method can learn the appropriate resource allocation policy for multi-energy system and achieve better resilience enhancement, yielding fast application efficiency and good generalization ability for emergency fault conditions.

为实现多能源系统对台风灾害的抗灾能力提升，本研究设计了一种新颖的两阶段优化框架，考虑了台风灾害下分布式资源的应急分配，以充分挖掘分布式资源的抗灾潜力。首先，我们将分布式资源的应急分配表述为马尔可夫决策过程。然后，利用元学习驱动的近似策略优化方法对其进行求解。与之不同，现有的强化学习方法总是忽略台风带来的不可预知的变化，保持多能源系统动态不变，从而限制了其控制性能。所提出的方法嵌入了元学习，可根据新任务对预先训练好的分配策略进行微调，具有适应性强、交互少的特点。最后，与其他基准方法进行了比较，结果表明所提出的方法可以为多能源系统学习适当的资源分配策略，实现更好的弹性增强，具有快速的应用效率和对紧急故障条件的良好泛化能力。

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引用次数: 0

Investigating the impact of using different fluids as liquid spectrum filters on photovoltaic-thermal system performance 研究使用不同液体作为液体光谱过滤器对光伏热系统性能的影响

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-02 DOI: 10.1016/j.renene.2024.121783

O. Elharoun , Abdelrahman O. Ali , O.H. Hassan

One practical solution to the issue of solar cells overheating and deteriorating electrical efficiency due to the cell's failure to convert all of the solar radiation that strikes it into electrical energy is to use spectral splitting technology. This technology prohibits the solar spectrum portion that creates the issue from reaching the cell by allowing just the part that is responsible for producing electrical power to reach it. The system developed for this study combines a fluid absorption-based spectral splitting mechanism with a compound parabolic solar concentrator. Several practical experiments were carried out to compare the thermal and electrical performance of some liquids, including water, ethanol, methanol, and propylene glycol. Additionally, a theoretical simulation of electrical performance was conducted, and its outcomes were compared with the practical ones. Based on the experimental results, ethanol was shown to have the highest percentage improvement in power and electrical efficiency (272.3 % and 74.6 %), whereas propylene glycol experienced the lowest percentage improvements (167.8 % and 25.6 %). This can be explained by the fact that the temperature of the PV cells was reduced by the greatest percentage (10.2 %) for ethanol and the least percentage (6.1 %) for propylene glycol. Moreover, the highest thermal and total efficiencies were demonstrated by ethanol (9.5 % and 11 %), whereas the lowest efficiencies were recorded by propylene glycol (6.9 % and 8.7 %). In addition, the practical and theoretical results exhibit a high degree of consistency, with error percentages less than 5 %.

由于太阳能电池无法将照射到电池上的所有太阳辐射转化为电能，导致电池过热和电能效率下降，解决这一问题的一个切实可行的办法是使用光谱分离技术。这种技术只允许产生电能的部分到达电池，而禁止产生问题的太阳光谱部分到达电池。本研究开发的系统结合了基于流体吸收的光谱分离机制和复合抛物面太阳能聚光器。我们进行了一些实际实验，以比较一些液体（包括水、乙醇、甲醇和丙二醇）的热性能和电性能。此外，还对电性能进行了理论模拟，并将模拟结果与实际结果进行了比较。实验结果表明，乙醇的功率和电气效率提高的百分比最高（分别为 272.3% 和 74.6%），而丙二醇提高的百分比最低（分别为 167.8% 和 25.6%）。这是因为乙醇降低光伏电池温度的比例最大（10.2%），而丙二醇降低温度的比例最小（6.1%）。此外，乙醇的热效率和总效率最高（分别为 9.5% 和 11%），而丙二醇的效率最低（分别为 6.9% 和 8.7%）。此外，实际结果和理论结果具有高度一致性，误差率小于 5%。

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引用次数: 0

Site selection for solar power plants using GIS and fuzzy analytic hierarchy process: Case study of the western mediterranean region of Turkiye 利用地理信息系统和模糊层次分析法为太阳能发电厂选址：土耳其西地中海地区案例研究

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-02 DOI: 10.1016/j.renene.2024.121799

İsmail Yilmaz , Abdulkadir Kocer , Ercument Aksoy

As global warming becomes increasingly evident, the need to use renewable energy sources cannot be overstated. The consumption of fossil fuels in energy production not only exacerbates the effects of global warming but also negatively affects air quality and puts human health at serious risk. The objective of this research is to determine the most suitable locations for solar power plants (SPPs) in the Turkish provinces of Antalya, Burdur, and Isparta, which are situated in the Western Mediterranean Region (WMR). The study employs the Fuzzy Analytic Hierarchy Process (FAHP), a Multi-Criteria Decision Making (MCDM) method, in conjunction with Geographic Information Systems (GIS) for the extraction of spatial information. In evaluating SPP site selection, 11 criteria were considered, including climate, economy, topography, and environmental factors. To produce more objective results during the decision-making phase, a thorough analysis of the relationship between solar irradiance and climatic factors such as air temperature, cloud frequency, and water vapor density which are crucial for the power plant's efficiency in SPP projects was conducted using machine learning techniques. The criteria weights were calculated by the FAHP method, considering expert opinions, literature observations, and machine learning results. The results show that approximately 20 % of the region is suitable for SPP.

随着全球变暖日益明显，使用可再生能源的必要性怎么强调都不为过。在能源生产中消耗化石燃料不仅会加剧全球变暖的影响，还会对空气质量造成负面影响，严重危害人类健康。本研究的目的是确定土耳其安塔利亚省、布尔杜尔省和伊斯帕尔塔省最适合建设太阳能发电厂（SPP）的地点，这些省份位于西地中海地区（WMR）。该研究采用了模糊分析层次过程 (FAHP)、多标准决策 (MCDM) 方法以及地理信息系统 (GIS) 来提取空间信息。在评估 SPP 选址时，考虑了 11 项标准，包括气候、经济、地形和环境因素。为了在决策阶段得出更客观的结果，利用机器学习技术对太阳辐照度与气候因素（如气温、云层频率和水蒸气密度）之间的关系进行了深入分析，这些因素对 SPP 项目中发电厂的效率至关重要。考虑到专家意见、文献观察和机器学习结果，采用 FAHP 方法计算了标准权重。结果表明，约有 20% 的区域适合建设 SPP。

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引用次数: 0

A comprehensive numerical model for aero-hydro-mooring analysis of a floating offshore wind turbine 用于浮式海上风力涡轮机气-水-系泊分析的综合数值模型

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-02 DOI: 10.1016/j.renene.2024.121793

Rizwan Haider , Wei Shi , Yefeng Cai , Zaibin Lin , Xin Li , Zhiqiang Hu

This paper presents a comprehensive study of a Floating Offshore Wind Turbine (FOWT), requiring multidisciplinary expertise in floating platform hydrodynamics, mooring system dynamics, and wind turbine aerodynamics. We introduce a fully coupled numerical model, focusing specifically on the NREL's (National Renewable Energy Laboratory's) 5 MW OC4 FOWT. The model is validated through both numerical simulations using the Computational Fluid Dynamics (CFD) based software OpenFOAM and experimental results. Key findings demonstrate the model's accuracy in forecasting the aerodynamic behaviors of the turbine, the platform's response to motions, and the behavior of the mooring system across diverse wind and sea state scenarios. Furthermore, the study enhances the understanding of FOWT's stability and efficiency by examining the influence of different Center of gravity (COG) heights. Results show that reduction in COG height has a minor effect on heave and surge motion but significantly decreases pitch motion and mooring line tension, thereby improving static stability and reducing the impact of wave loads on dynamic responses. Additionally, the results show that this reduction in COG height enhances the aerodynamic power output, suggesting that optimized FOWT designs could achieve improved energy capture efficiency. These insights optimize FOWT design and efficiency, enhancing renewable energy performance.

本文介绍了浮式海上风力涡轮机（FOWT）的综合研究，需要浮式平台流体力学、系泊系统动力学和风力涡轮机空气动力学等多学科专业知识。我们介绍了一个完全耦合的数值模型，特别侧重于 NREL（美国国家可再生能源实验室）的 5 兆瓦 OC4 FOWT。该模型通过使用基于计算流体力学（CFD）的软件 OpenFOAM 进行的数值模拟和实验结果进行了验证。主要研究结果表明，该模型能够准确预测涡轮机的空气动力学行为、平台对运动的响应以及系泊系统在不同风况和海况下的行为。此外，研究还通过考察不同重心高度（COG）的影响，加深了对风力涡轮机稳定性和效率的理解。结果表明，降低 COG 高度对波浪和浪涌运动的影响较小，但会显著降低俯仰运动和系泊线张力，从而提高静态稳定性，减少波浪载荷对动态响应的影响。此外，研究结果表明，降低 COG 高度可提高空气动力输出，这表明优化的 FOWT 设计可提高能量捕获效率。这些见解优化了 FOWT 的设计和效率，提高了可再生能源的性能。

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引用次数: 0

Multi-software based dynamic modelling of a water-to-water heat pump interacting with an aquifer thermal energy storage system 基于多软件的水-水热泵与含水层热能储存系统互动动态建模

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-01 DOI: 10.1016/j.renene.2024.121795

G. Agate , F. Colucci , N. Luciano , E. Marrasso , C. Martone , G. Pallotta , C. Roselli , M. Sasso , G. Squarzoni

Aquifer thermal energy storage systems may support the decarbonization of heating and cooling energy needs of urban areas, not only in heating-dominated countries but also in Southern Europe. In this framework, this work investigates the adoption of an electric-driven heat pump interacting with an aquifer and activating a small-scale district heating and cooling network serving a mixed-use district of eight residential and office buildings in Rome (Italy). The dynamic behaviour of aquifer was replicated using the GeoSIAM software. Energy conversion systems and users’ thermal and cooling loads were simulated in TRNSYS 18. The dynamic models were integrated using an iterative approach based on conditions regarding plant operation and injection temperature in wells. The proposed solution was compared from the energy and environmental perspective with a traditional system without aquifer. In addition, the balance between heating and cooling mode operation was assessed. The results obtained encourage the adoption of aquifer thermal energy storage systems in Central Italy. Indeed, the primary energy saving, and the carbon dioxide emissions avoided are equal to 18 %, whereas the imbalance between cooling and heating loads is limited to −5.2 %.

含水层热能储存系统可支持城市地区供热和制冷能源需求的去碳化，这不仅适用于以供热为主的国家，也适用于南欧国家。在此框架下，本研究调查了采用电驱动热泵与含水层相互作用，并启动一个小型区域供热和制冷网络，为罗马（意大利）一个由八栋住宅和办公楼组成的多功能区提供服务的情况。使用 GeoSIAM 软件复制了含水层的动态行为。能源转换系统以及用户的热负荷和冷负荷在 TRNSYS 18 中进行了模拟。根据设备运行和水井注入温度等条件，采用迭代方法对动态模型进行整合。从能源和环境的角度对所提出的解决方案与不含含水层的传统系统进行了比较。此外，还对加热和冷却模式运行之间的平衡进行了评估。所得结果鼓励在意大利中部地区采用含水层热能储存系统。事实上，所节省的一次能源和避免的二氧化碳排放量相当于 18%，而制冷和制热负荷之间的不平衡则限制在-5.2%。

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引用次数: 0

Upgrading gasoline production through optimizing zeolite properties in the direct hydrogenation of CO2/CO 通过优化 CO2/CO 直接加氢过程中沸石的性能来提高汽油产量

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-01 DOI: 10.1016/j.renene.2024.121693

Onintze Parra, Ander Portillo, Zuria Tabernilla, Andrés T. Aguayo, Javier Ereña, Javier Bilbao, Ainara Ateka

Role of HZSM-5 zeolite properties (in tandem with ZnO–ZrO₂) in direct synthesis of C₅₊ hydrocarbons from CO₂/CO was studied. The runs were performed in fixed bed reactor at: 420 ℃; 50 bar; space time, 10 g_cat h mol_C^-1; H₂/CO_x, 3; CO₂/CO_x, 0.5. Two conventional zeolites were used (with SiO₂/Al₂O₃ ratio of 30 and 280), another one doped with Zn and one nano-sized zeolite with SiO₂/Al₂O₃ ratio of 371. It was determined that acidity conditions the performance of the catalyst, and the best results (yield and selectivity of C₅₊ of 19.6% and 78.0%, respectively, with a CO_x conversion of 25.1%) were obtained with nano-sized zeolite (low acidity). In the C₅₊ fraction, the major components were C₅ and C₆ paraffins, mostly isoparaffinic; so this fraction (without aromatics and with RON 91) is suitable for incorporating into gasoline pool. The presence of highly acidic sites favors secondary reactions of formation of C₁-C₄ hydrocarbons, by cracking and hydrogen transfer reactions, decreasing the CO_x conversion by worsening the synergy between the catalysts. Results are explained by the effect of the acidity on the extent of the stages of reaction network on ZnO–ZrO₂/HZSM-5 catalyst, and on synergy between the catalysts.

研究了 HZSM-5 沸石特性（与 ZnO-ZrO2 共同作用）在从 CO2/CO 直接合成 C5+ 碳氢化合物中的作用。实验在固定床反应器中进行，温度为420 ℃；50 bar；空间时间，10 gcat h molC-1；H2/COx，3；CO2/COx，0.5。使用了两种传统沸石（SiO2/Al2O3 比率分别为 30 和 280）、另一种掺杂锌的沸石和一种 SiO2/Al2O3 比率为 371 的纳米沸石。结果表明，酸度会影响催化剂的性能，使用纳米级沸石（低酸度）的催化剂效果最好（C5+ 的产率和选择性分别为 19.6% 和 78.0%，COx 转化率为 25.1%）。在 C5+ 馏分中，主要成分是 C5 和 C6 石蜡，大部分为异链烷烃；因此，该馏分（不含芳烃，RON 91）适合加入汽油池中。高酸性位点的存在有利于通过裂化和氢转移反应形成 C1-C4 碳氢化合物的二次反应，从而通过恶化催化剂之间的协同作用降低 COx 转化率。酸性对 ZnO-ZrO2/HZSM-5 催化剂上反应网络各阶段的影响以及对催化剂之间协同作用的影响解释了这些结果。

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引用次数: 0

The experimental and numerical analysis of semitransparent double-skin ventilated window for heating, shading and air purification based on a flexible thermal catalysis film 基于柔性热催化膜的供暖、遮阳和空气净化用半透明双层通风窗的实验和数值分析

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-01 DOI: 10.1016/j.renene.2024.121789

Niansi Li , Guoji Zhang , Guoyu Zhang , Tao Gu , Huifang Liu , Jie Ji

A novel semitransparent thermal-catalytic glass (TC-glass) for heating, daylighting and air purification was proposed, which was applied to double-skin window (TC-glass window). Firstly, a novel flexible TC film was designed, the purification performance and kinetic model were investigated. Secondly, the experimental system of TC-glass window was built and the thermal performance and purification performance were investigated by all-day experiment. Thirdly, the heat and mass transfer model of TC-glass window was established and verified. Main results were: (1) The adding of polyvinyl alcohol in TC materials increased 10.07 kJ/mol activation energy. (2) The daylighting and formaldehyde removal analysis on TC-glass showed that the catalyst coverage ratio of 60 % was recommended as the optimal ratio. (3) The experimental average thermal, formaldehyde once-through conversion and daily total clean air volume of TC-glass window glass were 40.8 %, 31.1 % and 238.18 m³, respectively. (4) Throughout the year, with 40 %, 60 % and 80 % catalyst coverage ratios, the heat gain from channel air over heating season were 213.47, 261.62, and 284.22 MJ/m², respectively, the total clean air were 11952, 16672, and 19851 m³/m², respectively, the heat carried away by the channel air over summer were 274.53, 287.2 and 297.44 MJ/m², respectively.

提出了一种用于采暖、采光和空气净化的新型半透明热催化玻璃（TC-glass），并将其应用于双层玻璃窗（TC-glass 窗）。首先，设计了一种新型柔性热催化膜，研究了其净化性能和动力学模型。其次，建立了 TC 玻璃窗实验系统，并通过全天候实验研究了其热性能和净化性能。第三，建立并验证了 TC 玻璃窗的传热传质模型。主要结果如下(1）在 TC 材料中加入聚乙烯醇后，活化能增加了 10.07 kJ/mol。(2）对 TC 玻璃进行的日光照射和甲醛去除分析表明，催化剂覆盖率为 60% 是最佳的催化剂覆盖率。(3) TC 玻璃窗玻璃的实验平均热量、甲醛一次性转化率和日总洁净空气量分别为 40.8%、31.1% 和 238.18 立方米。(4) 在全年中，催化剂覆盖率分别为 40%、60% 和 80%时，采暖季通道空气得热量分别为 213.47、261.62 和 284.22 MJ/m2，总洁净空气量分别为 11952、16672 和 19851 m3/m2，夏季通道空气带走的热量分别为 274.53、287.2 和 297.44 MJ/m2。

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引用次数: 0

Investigation of dynamic stall models on the aeroelastic responses of a floating offshore wind turbine 浮式海上风力涡轮机气动弹性响应的动态失速模型研究

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-01 DOI: 10.1016/j.renene.2024.121778

Zhen Zhang , Yang Yang , Zhihao Qin , Musa Bashir , Yuming Cao , Jie Yu , Qianni Liu , Chun Li , Shuai Li

Dynamic stall effects significantly affect the aerodynamic load prediction of wind turbines. In order to investigate the dynamic stall effects on the loads and responses of a 15 MW floating offshore wind turbine (FOWT), a novel dynamic stall model, namely IAG, is implemented within the widely-used simulation software package OpenFAST in this study. The superiority and accuracy of the IAG model are verified by comparisons against experimental data and numerical results from the Beddoes-Leishman (B-L) model. The results have shown that the IAG model is able to more accurately capture edges of the hysteresis loops of aerodynamic coefficients corresponding to various airfoils and operation states. The aeroelastic responses of a 15 MW floating offshore wind turbine under normal and extreme environmental conditions are calculated by employing the IAG model. The impact of dynamic stall models on blade loads and displacements has been analyzed. It is found that the B-L model produces larger loads and displacements under high wind speed and yaw error conditions, attributed to the insufficiently computational robustness of the B-L model under deep stall situations and the seriously dynamic stall circumstances. The 1st-order and 2nd-order bending modes of the blade are expected to be enhanced by the aerodynamic loads that are predicted using the B-L model. Consequently, the bending-torsional coupling effects would be enhanced, leading to an increase up to 64.7 % on the in-plane bending moment. This study has confirmed that the dynamic stall model should be properly selected properly for the fully coupled analysis of FOWTs.

动态失速效应严重影响风力涡轮机的气动载荷预测。为了研究动态失速效应对 15 兆瓦浮式海上风力涡轮机（FOWT）载荷和响应的影响，本研究在广泛使用的仿真软件包 OpenFAST 中实施了一种新型动态失速模型，即 IAG。通过与实验数据和 Beddoes-Leishman (B-L) 模型的数值结果进行比较，验证了 IAG 模型的优越性和准确性。结果表明，IAG 模型能够更准确地捕捉各种机翼和运行状态下气动系数滞后环的边缘。采用 IAG 模型计算了 15 兆瓦浮式海上风力涡轮机在正常和极端环境条件下的气动弹性响应。分析了动态失速模型对叶片载荷和位移的影响。结果发现，在高风速和偏航误差条件下，B-L 模型产生的载荷和位移较大，这是由于 B-L 模型在深度失速情况下的计算鲁棒性不足，以及严重的动态失速情况。使用 B-L 模型预测的气动载荷预计会增强叶片的一阶和二阶弯曲模式。因此，弯曲-扭转耦合效应会增强，导致平面内弯矩增加高达 64.7%。这项研究证实，在对 FOWT 进行完全耦合分析时，应适当选择动态失速模型。

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引用次数: 0

Optimizing peak shaving operation in hydro-dominated hybrid power systems with limited distributional information on renewable energy uncertainty 在可再生能源不确定性分布信息有限的情况下，优化以水力为主的混合电力系统的削峰操作

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-01 DOI: 10.1016/j.renene.2024.121776

Wenjie Cheng , Zhipeng Zhao , Chuntian Cheng , Zhihui Yu , Ying Gao

The increasing integration of renewable energy sources (RES) in power systems poses challenges for peak shaving operations due to RES uncertainty. However, it is difficult to obtain complete distributional information for uncertainty modeling. This study focuses on optimizing peak shaving in hydro-dominated hybrid power systems under such uncertainty. We utilize limited distributional information of RES forecast errors, specifically the first two moments, to build a moment ambiguity set. Employing distributionally robust chance-constrained programming (DRCCP), we develop a peak shaving model that quantifies the flexibility reserve of hydropower by risk level and the forecast errors. To enhance computational tractability, we apply the Chebyshev inequality to reformulate the moment-based DRCCP model into a mixed-integer linear programming model. Numerical simulations conducted on a provincial power grid in China validate the model's effectiveness. Key findings indicate that: (1) The model effectively leverages hydropower to provide ramping flexibility for peak shaving and quantifies the flexibility reserve needed for RES forecast errors. (2) This uncertainty modeling approach is more practical than probability distribution function-based methods, ensuring reliable peak shaving scheduling and reducing conservatism. (3) Decision-makers can adjust risk level to modify hydropower flexibility reserve, balancing robustness and conservatism of peak shaving scheduling.

由于可再生能源的不确定性，电力系统中可再生能源（RES）的集成度越来越高，这给调峰操作带来了挑战。然而，不确定性建模很难获得完整的分布信息。本研究的重点是在这种不确定性下优化水电为主的混合电力系统的调峰。我们利用可再生能源预测误差的有限分布信息，特别是前两个矩，来建立矩模糊集。利用分布稳健机会约束程序设计 (DRCCP)，我们建立了一个削峰模型，该模型可根据风险水平和预测误差量化水电的灵活性储备。为提高计算的可操作性，我们应用切比雪夫不等式将基于矩的 DRCCP 模型重新表述为混合整数线性规划模型。在中国某省级电网上进行的数值模拟验证了该模型的有效性。主要研究结果表明(1) 该模型可有效利用水电为削峰填谷提供升压灵活性，并量化可再生能源预测误差所需的灵活性储备。(2) 这种不确定性建模方法比基于概率分布函数的方法更实用，可确保可靠的削峰调度并减少保守性。(3) 决策者可通过调整风险水平来修改水电灵活性储备，平衡调峰调度的稳健性和保守性。

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引用次数: 0

Electrocatalytic activities of iron-supported N-doped porous carbon towards the oxygen/hydrogen evolution reaction 铁支撑的掺杂 N 的多孔碳对氧/氢进化反应的电催化活性

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2024-11-01 DOI: 10.1016/j.renene.2024.121788

Daniel Kobina Sam , Yan Cao

Red mud (RM) disposal has been highly apprehensive due to its environmental impact. The aluminum industry produces large amounts of red mud waste annually, and turning it into a value-added product is a key component of sustainable development. This study combines RM with an N-doped porous carbon (biomass precursor) as an effective electrocatalyst for oxygen evolution and hydrogen evolution reactions (OER and HER). One significant obstacle to anion-exchange membrane (AEM) electrolyzer applications is the development of electrocatalysts that do not require noble metals and are both efficient and effective at HER and OER. The synthesized iron-supported (RM-derived) N-doped porous carbon (RMNPC) exhibits excellent catalytic activities with 276 and 191 mV overpotentials at 10 mA cm⁻² for OER and HER, respectively. A two-electrode cell system is designed with an RMNPC/NF electrode as anode and cathode, and it necessitates just 1.82 V to realize 10 mA cm⁻² and shows outstanding durability. This study presents a low-cost but effective electrocatalyst for water splitting for renewable hydrogen production, achieving the goal of RM recycling and highlighting the potential of porous carbon electrocatalysts.

赤泥（RM）处理因其对环境的影响而备受关注。铝工业每年产生大量赤泥废料，将其转化为高附加值产品是可持续发展的关键组成部分。本研究将赤泥与掺杂 N 的多孔碳（生物质前驱体）相结合，作为氧进化和氢进化反应（OER 和 HER）的有效电催化剂。阴离子交换膜（AEM）电解槽应用的一个重要障碍是开发出不需要贵金属且在 HER 和 OER 反应中高效的电催化剂。合成的铁支撑（RM 衍生）掺杂 N 的多孔碳（RMNPC）表现出卓越的催化活性，在 10 mA cm-2 的条件下，OER 和 HER 的过电位分别为 276 和 191 mV。以 RMNPC/NF 电极为阳极和阴极设计了一种双电极电池系统，只需 1.82 V 即可实现 10 mA cm-2，并显示出卓越的耐久性。本研究提出了一种低成本但有效的电催化剂，用于水分离以生产可再生氢，实现了 RM 循环利用的目标，并突出了多孔碳电催化剂的潜力。

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引用次数: 0