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An integrated thermo-electric performance evaluation and design decision-making framework for closed-air-cavity sandwich-type wall-integrated photovoltaics 闭式空腔三明治式壁面集成光伏热电性能综合评价与设计决策框架
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-10-12 DOI: 10.1016/j.renene.2026.126568
Lei Qu, Dengjia Wang, Yanfeng Liu, Yingying Wang, Xingzhen Deng, Jianhua Fan
Closed-air-cavity sandwich-type wall-integrated photovoltaics (SWIPV) provide power-generation and building-envelope functions, but their complex electrical and thermal behavior challenges the simultaneous calculation and evaluation of thermo-electric performance and engineering design. By analyzing the different operating mechanisms during daytime and nighttime, this study proposes cumulative electricity generation (ESWIPV) and the period-averaged operational apparent equivalent heat-transfer coefficient (KSWIPV) to characterize thermo-electric performance, respectively, and develops a coupled calculation model. Furthermore, by incorporating the comprehensive performance index (CI) and performance balance index (BI), an integrated evaluation and design decision-making framework is established. Experiments were conducted to verify the accuracy of the model. The response regularity of thermo-electric performance and the corresponding design decisions were analyzed by constructing combined conditions involving nine representative sites in 5 Chinese climate zones, 3 facade orientations, and various air layer thicknesses. Results show that the maximum model error is below 6.0%; differences in ESWIPV among climate zones are mainly determined by facade irradiation, whereas KSWIPV is jointly affected by facade irradiation, air temperature, and seasonal distribution; nighttime Scenario 2 contributes 31.8% and 22.0% to KSWIPV in Guangzhou and Nanchang, respectively; ESWIPV and KSWIPV tend to stabilize when air layer thickness exceeds 300 mm; climate and air layer thickness are the dominant factors affecting ESWIPV and KSWIPV, respectively; under the thickness-constrained scenario, the South-200 mm scheme is recommended for 8 sites except Guiyang under all 5 weighting coefficients. The framework can be transferred to other regions by inputting candidate conditions, local meteorological data, and design preferences.
闭式空腔三明治式集成墙体光伏(SWIPV)提供了发电和建筑围护功能,但其复杂的电学和热行为对热电性能的计算和评估以及工程设计提出了挑战。通过分析白天和夜间不同的运行机制,本研究分别提出了累积发电量(ESWIPV)和周期平均运行表观等效传热系数(KSWIPV)来表征热电性能,并建立了耦合计算模型。在此基础上,结合综合绩效指标(CI)和绩效平衡指标(BI),建立了综合评价与设计决策框架。通过实验验证了模型的准确性。通过构建中国5个气候带、3种立面朝向和不同空气层厚度的9个代表性场地的组合工况,分析了热电性能的响应规律和相应的设计决策。结果表明,模型最大误差在6.0%以下;不同气候区ESWIPV的差异主要由立面辐照决定,而KSWIPV受立面辐照、气温和季节分布的共同影响;夜间情景2对广州和南昌的kswpv贡献率分别为31.8%和22.0%;当空气层厚度超过300 mm时,ESWIPV和KSWIPV趋于稳定;气候和空气层厚度分别是影响ESWIPV和KSWIPV的主导因子;在厚度约束条件下,除贵阳外,其余8个站点在5个加权系数下均推荐南向200 mm方案。该框架可以通过输入候选条件、当地气象数据和设计偏好来转移到其他地区。
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引用次数: 0
Net-Zero carbon pathway for integrated energy systems: co-optimizing biomass-coupled carbon capture and trans-seasonal thermal storage dispatch 综合能源系统的净零碳路径:共同优化生物质耦合碳捕获和跨季节储热调度
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-10-12 DOI: 10.1016/j.renene.2026.126556
Bingyan Zhang, Shixing Ding, Zhigang Lu, Jiangyong Zhang, Yao Cai, Ershun Du, Jiangfeng Zhang
<div><ul><li><span>•</span><span><div>A near-zero-carbon IES dispatch framework integrate BECCS and mine-water heat storage</div></span></li><li><span>•</span><span><div>Coal-biomass co-firing is coupled with CO<sub>2</sub> capture-mineralization</div></span></li><li><span>•</span><span><div>Mine-water heat storage recovers waste heat for seasonal heat-load shifting</div></span></li><li><span>•</span><span><div>CO<sub>2</sub> mineralization cuts capture energy use by 51.73% and IES cost by 32.41%</div></span></li></ul></div><div><div>To facilitate the low-carbon transition of energy systems and enhance renewable energy accommodation, this paper proposes a near-zero carbon scheduling framework for electricity-gas-heat integrated energy systems, which integrates full-cycle synergistic optimization of carbon source-capture-mineralization processes and trans-seasonal energy storage, addressing the dual challenges of high carbon emissions from coal-fired units and renewable energy curtailment caused by seasonal supply-demand imbalances. First, considering the zero-carbon attributes of biomass and carbon capture-mineralization technology, a coal-biomass co-firing system integrated with carbon capture-mineralization processes is established to analyze its electric-carbon coupling dynamics and emission reduction mechanisms. Second, a mine water-based trans-seasonal thermal storage system is introduced to reduce renewable energy curtailment and achieve deep decarbonization through spatiotemporal heat transfer. Finally, a co-optimization dispatch model is developed, incorporating synergistic reserves from biomass-coupled carbon capture plants and hydrogen storage systems. At the same time, energy characteristics under typical days in different seasons are analyzed. Simulation results show that the proposed model reduces system operating cost by 32.41%, decreases carbon capture energy consumption by 51.73%, and increases the unit net output by 7.78%, demonstrating its effectiveness in supporting near-zero-carbon IES operation.</div></div><div>To facilitate the low-carbon transition of energy systems and enhance renewable energy accommodation, this paper proposes a near-zero carbon scheduling framework for electricity-gas-heat integrated energy systems, which integrates full-cycle synergistic optimization of carbon source-capture-mineralization processes and trans-seasonal energy storage, addressing the dual challenges of high carbon emissions from coal-fired units and renewable energy curtailment caused by seasonal supply-demand imbalances. First, considering the zero-carbon attributes of biomass and carbon capture-mineralization technology, a coal-biomass co-firing system integrated with carbon capture-mineralization processes is established to analyze its electric-carbon coupling dynamics and emission reduction mechanisms. Second, a mine water-based trans-seasonal thermal storage system is introduced to reduce renewable energy curtailment and achieve deep
•近零碳的IES调度框架将BECCS和矿水储热相结合•煤-生物质共烧与二氧化碳捕集-矿化相结合•矿水储热回收废热用于季节性热负荷转移•二氧化碳矿化减少捕集能源使用51.73%和IES成本32.41%促进能源系统的低碳转型,增强可再生能源适应性。本文提出了电-气-热一体化能源系统的近零碳调度框架,该框架集成了碳源-捕获-矿化过程的全周期协同优化和跨季节储能,解决了燃煤机组高碳排放和季节性供需失衡导致的可再生能源弃用的双重挑战。首先,结合生物质零碳特性和碳捕集矿化技术,建立了碳捕集矿化过程集成的煤-生物质共烧系统,分析了其电-碳耦合动力学和减排机制。其次,介绍了矿井水基跨季节蓄热系统,通过时空传热减少可再生能源弃风,实现深度脱碳。最后,建立了一个包含生物质耦合碳捕集厂和储氢系统协同储备的协同优化调度模型。同时,分析了不同季节典型日的能量特征。仿真结果表明,该模型使系统运行成本降低32.41%,碳捕集能耗降低51.73%,单位净产量增加7.78%,证明了该模型支持近零碳IES运行的有效性。为了促进能源系统的低碳转型,增强可再生能源的适应性,本文提出了一个电-气-热一体化能源系统的近零碳调度框架,该框架集成了碳源-捕获-矿化过程的全周期协同优化和跨季节储能。应对燃煤机组高碳排放和季节性供需失衡造成的可再生能源弃用的双重挑战。首先,结合生物质零碳特性和碳捕集矿化技术,建立了碳捕集矿化过程集成的煤-生物质共烧系统,分析了其电-碳耦合动力学和减排机制。其次,介绍了矿井水基跨季节蓄热系统,通过时空传热减少可再生能源弃风,实现深度脱碳。最后,建立了一个包含生物质耦合碳捕集厂和储氢系统协同储备的协同优化调度模型。同时,分析了不同季节典型日的能量特征。仿真结果表明,该模型使系统运行成本降低32.41%,碳捕集能耗降低51.73%,单位净产量增加7.78%,证明了该模型支持近零碳IES运行的有效性。
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引用次数: 0
Quantifying microbial, enzymatic, and acid-driven pathways of lignocellulose degradation and their impact on methane production in Sudangrass silage 量化苏丹草青贮中木质纤维素降解的微生物、酶和酸驱动途径及其对甲烷产量的影响
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-08-18 DOI: 10.1016/j.renene.2026.126331
Haopeng Liu, Junfeng Li, Zhihao Dong, Yushan Jia, Tao Shao, Jie Zhao
Lignocellulosic biomass represents a promising feedstock for the sustainable circular bioeconomy. However, its recalcitrant structure necessitates efficient pretreatment. Converting lignocellulosic biomass into renewable energy via anaerobic digestion (AD) often exhibits low degradation efficiency and thus requires optimization to enhance conversion efficiency. Ensiling is a promising, low-cost, and environmentally friendly biological pretreatment method, yet the individual contributions and interactive mechanisms of microbial-, enzymatic-, and acid-driven pathways during lignocellulose degradation have not been fully elucidated. In this work, gamma-ray sterilization, high-temperature enzyme inactivation, and organic acid simulation were employed to isolate and quantify the effects of enzymatic-driven (ED), acid-driven (AD), microbial-driven (BD), and synergistic (SYN) pathways on lignocellulose degradation and methane production during Sudangrass ensiling. Results demonstrated that the BD treatment, driven by synergistic microbial activity and organic acids, achieved the highest lignocellulose degradation rate (LDR, 24.5%) and methane yield (295.20 mL/g VS). The absence of active microbiota in the AD and ED treatments significantly decreased LDR (13.6% and 4.36%, respectively) and reduced methane production (275.50 mL/g VS and 274.40 mL/g VS). The SYN treatment had moderate performance with LDR of 20.3% and methane yield of 284.20 mL/g VS. Structural equation modeling (SEqM) revealed that enzymatic and acid pathways affected methane yield only indirectly via water-soluble carbohydrate release, while the microbial pathway exerted dual direct and indirect effects by simultaneously promoting lignocellulose degradation and sugar metabolism. Furthermore, the potential synergy between microbes and endogenous enzymes was inhibited by rapid acidification. These findings confirm that microbial-driven processes are the dominant mechanism enhancing lignocellulose biodegradability and methane production. This work provides mechanistic insights for optimizing ensiling-based pretreatment to boost the efficiency of anaerobic digestion of lignocellulosic biomass.
木质纤维素生物质代表了可持续循环生物经济的一种有前途的原料。然而,其顽固的结构需要有效的预处理。通过厌氧消化(AD)将木质纤维素生物质转化为可再生能源往往具有较低的降解效率,因此需要优化以提高转化效率。青贮是一种有前途的、低成本的、环境友好的生物预处理方法,但在木质纤维素降解过程中,微生物、酶和酸驱动途径的个体贡献和相互作用机制尚未完全阐明。在这项工作中,采用伽马射线灭菌、高温酶失活和有机酸模拟来分离和量化酶驱动(ED)、酸驱动(AD)、微生物驱动(BD)和协同(SYN)途径对苏丹草青青过程中木质纤维素降解和甲烷产生的影响。结果表明,在微生物活性和有机酸的协同作用下,BD处理的木质纤维素降解率最高(LDR为24.5%),甲烷产量最高(295.20 mL/g VS)。AD和ED处理中活性菌群的缺失显著降低了LDR(分别为13.6%和4.36%)和甲烷产量(分别为275.50 mL/g VS和274.40 mL/g VS)。SYN处理效果中等,LDR为20.3%,甲烷产率为284.20 mL/g。结构方程模型(SEqM)显示,酶和酸途径仅通过水溶性碳水化合物的释放间接影响甲烷产率,而微生物途径同时促进木质纤维素降解和糖代谢,具有直接和间接双重作用。此外,微生物和内源性酶之间的潜在协同作用被快速酸化抑制。这些发现证实了微生物驱动过程是提高木质纤维素生物降解性和甲烷产量的主要机制。这项工作为优化青贮预处理以提高木质纤维素生物质厌氧消化效率提供了机制见解。
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引用次数: 0
Economic potential of the energy transition: A regionalized input-output analysis of wind power in Lower Saxony, Germany 能源转型的经济潜力:德国下萨克森州风电的区域化投入产出分析
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-08-13 DOI: 10.1016/j.renene.2026.126283
Tobias Mueller, Dilan Türk, Etti Winter, Ulrike Grote
Wind power is crucial for the energy transition, but regional impacts are still underexplored. This study analyzes the impact of regional datasets for examining the economic footprint and multipliers of regional wind power, differentiating between technology type and lifetime phase. Additionally, the economic and environmental impacts of wind power expansion are evaluated. Lower Saxony, a pioneering wind power region in Northern Germany, is used as a case study. The methodological approach involves constructing a regional input-output table, integrating wind power sectors and developing scenarios consistent with policy objectives. Results reveal the significant economic footprint of wind power in Lower Saxony and emphasize the importance of detailed regional datasets. Onshore wind key component manufacturing and offshore wind installation generate the highest economic multipliers. Offshore wind has greater economic impacts per unit of electricity than onshore wind. Wind power expansion can create substantial gross economic gains, but outcomes strongly depend on regional supply chain integration. Net effects include job losses and substantial reductions in emissions and water use. Policy implications comprise strengthening upstream industries, coping with labor market dynamics, and enhancing regionalized data collection. The study highlights the need for spatially focused approaches to capture the regional dimension of the energy transition.
风力发电对能源转型至关重要,但其对区域的影响仍未得到充分研究。本研究分析了区域数据集对区域风力发电的经济足迹和乘数的影响,区分了技术类型和生命周期阶段。此外,还对风力发电扩张的经济和环境影响进行了评估。下萨克森州是德国北部风力发电的先驱地区,被用作案例研究。方法方法包括建立一个区域投入产出表,整合风力发电部门和制定符合政策目标的情景。研究结果揭示了下萨克森州风力发电的显著经济足迹,并强调了详细区域数据集的重要性。陆上风电关键部件制造和海上风电安装产生了最高的经济乘数。与陆上风电相比,海上风电对单位电力的经济影响更大。风力发电的扩张可以创造可观的总经济收益,但其结果在很大程度上取决于区域供应链的整合。净影响包括失业和大量减少排放和水的使用。政策影响包括加强上游产业,应对劳动力市场动态,加强区域化数据收集。该研究强调需要以空间为重点的方法来捕捉能源转型的区域维度。
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引用次数: 0
Two-stage distributionally robust optimization model of integrated energy system considering wind–solar joint uncertainties and flexible resources management 考虑风能-太阳能联合不确定性和柔性资源管理的综合能源系统两阶段分布鲁棒优化模型
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-04-15 Epub Date: 2026-02-04 DOI: 10.1016/j.renene.2026.125366
Jie Li , Jizhen Liu , Yong Hu , Yansong Zhu , Deliang Zeng , Yunzhi Li
As the proportion of renewable energy in new power system continues to grow, wind and solar energy play a significant role in energy conservation and emission reduction. However, the uncertainty of wind and solar leads to insufficient flexibility in integrated energy system (IES), which greatly affects the safe and stable operation of IES. This paper proposes a Copula-based two-stage distributionally robust optimization (CTSDRO) model to improve the flexibility of IES. First, the optimal time-varying Copula function is selected to describe the wind–solar joint uncertainties and to generate sample data, which are applied to construct ambiguity set based on the Wasserstein metric. Subsequently, the proposed model is developed by incorporating affinely adjustable policy and flexible resources management and is reformulated into a tractable model using duality theory and convex optimization techniques. The simulation results show: Compared to the traditional algorithm, the CTSDRO algorithm achieves a balance among economic performance, robustness, and computational efficiency. By incorporating flexible resources into the proposed model, the flexibility shortage is effectively mitigated and the upward flexibility increases by 22 % and the downward flexibility improves by 2.4 times under extreme operating conditions, without sacrificing economic performance.
随着可再生能源在新型电力系统中的比重不断提高,风能和太阳能在节能减排方面发挥着重要作用。然而,风能和太阳能的不确定性导致综合能源系统灵活性不足,极大地影响了综合能源系统的安全稳定运行。本文提出了一种基于copula的两阶段分布鲁棒优化(CTSDRO)模型,以提高IES的灵活性。首先,选取最优时变Copula函数来描述风能-太阳能联合的不确定性并生成样本数据,利用样本数据构建基于Wasserstein度量的模糊集;在此基础上,结合仿射可调策略和灵活资源管理,利用对偶理论和凸优化技术将该模型重新表述为可处理模型。仿真结果表明:与传统算法相比,CTSDRO算法在经济性、鲁棒性和计算效率之间取得了平衡。在不牺牲经济性能的前提下,将柔性资源纳入所提出的模型,有效地缓解了灵活性不足,在极端工况下,向上灵活性提高了22%,向下灵活性提高了2.4倍。
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引用次数: 0
Scaling solar in dense cities: The availability and affordability of distributed photovoltaics (DSPV) electricity in Shenzhen 在人口密集的城市扩展太阳能:深圳分布式光伏(DSPV)电力的可用性和可负担性
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-04-15 Epub Date: 2026-02-02 DOI: 10.1016/j.renene.2026.125376
Kai Zhang , Peifeng Ma , Yuan Xu
The availability and affordability of renewable energy are crucial for energy transition. This study develops a geospatial–techno-economic framework to evaluate DSPV potential and costs across Shenzhen's scattered, irregular, and diverse (SID) spaces, focusing on rooftops, building façades, and road noise barriers. Leveraging building vectors with height attributes, a shadow analysis model and solar ray-tracing algorithms were employed to quantify the effects of mutual shading and surface inclination that significantly compromise the capacity factors of PV. High-resolution irradiation data, meteorological parameters, and an irradiation model were utilized. The levelized cost of electricity (LCOE) is analyzed based on installation costs, operational expenses, and other market-driven parameters. The results reveal that rooftops, building facades, and RNBs' PV electricity generation potentials are 21,165 GWh/year, 85,131 GWh/year, and 5.43 GWh/year, respectively, almost equivalent to 94% of Shenzhen's annual electricity demand in 2023. Affordability is a much bigger concern with their LCOE ranges being 0.020–0.421 USD/kWh, 0.058–0.261 USD/kWh, and 0.090–1.404 USD/kWh under different scenarios, respectively. These findings illustrate that spatial constraints in dense cities not only affect the availability of solar electricity but also, more importantly, its affordability.
可再生能源的可获得性和可负担性对能源转型至关重要。本研究开发了一个地理空间-技术-经济框架来评估深圳分散、不规则和多样化(SID)空间的DSPV潜力和成本,重点是屋顶、建筑立面和道路隔音屏障。利用具有高度属性的建筑向量,使用阴影分析模型和太阳光线跟踪算法来量化相互遮阳和表面倾斜的影响,这些影响显著影响PV的容量因子。利用高分辨率辐照数据、气象参数和辐照模型。平准化电力成本(LCOE)是根据安装成本、运营费用和其他市场驱动的参数进行分析的。结果显示,屋顶、建筑立面和农村居民住宅的光伏发电潜力分别为21,165 GWh/年、85,131 GWh/年和5.43 GWh/年,几乎相当于深圳2023年全年电力需求的94%。可负担性是更大的问题,在不同的场景下,它们的LCOE范围分别为0.020-0.421美元/千瓦时、0.058-0.261美元/千瓦时和0.090-1.404美元/千瓦时。这些发现表明,密集城市的空间限制不仅影响太阳能电力的可用性,更重要的是影响其可负担性。
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引用次数: 0
Wind tunnel investigation of heliostat field wind loads and load reduction measures 定日镜现场风荷载的风洞研究及减载措施
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-04-15 Epub Date: 2026-02-05 DOI: 10.1016/j.renene.2026.125395
Zihang Yang , Yangzhao Liu , Ying Chang , Kaoshan Dai , Jie Zhong , Erhan Huang , Zhen Li , Songgang Li , Matiyas A. Bezabeh
Most prior wind tunnel investigations of heliostats have focused on isolated units. However, in real-world engineering scenarios, heliostats are typically arranged in rows to maximize efficiency, and the aerodynamic properties of multiple heliostats differ substantially from those of an independent or single heliostat. In this study, wind loads in a heliostat field were evaluated using a new type of rectangular heliostat model at multiple locations within the field. On the basis of wind tunnel testing of the heliostat field, a commonly used operating elevation angle of 40° was selected as the most representative elevation angle, and the wind loads of heliostats at different positions in the heliostat field as well as load-mitigation strategies were investigated. The test results showed that the heliostat field could be qualitatively decomposed into two regions, namely an interior region and an edge region, and the worst-case-scenario forces and moments for each heliostat in the interior region were largely identical. On this basis, two wind load reduction measures were considered: optimizing array arrangement at a fixed field density and employing wind fences. The heliostat field exhibited a typical “edge high, internal low” trend in its wind load coefficients. At a given heliostat field density, variation of heliostat structure arrangements had a substantial impact on wind effects. Based on the results, the generalized blockage ratio formula proposed by Peterka et al. was improved, thereby allowing wind load reduction through variations in field arrangement at the same density. In addition, it was found that a wind fence reduces wind loads mainly for edge region heliostats, similarly to adding an upstream heliostat row.
以前大多数对定日镜的风洞研究都集中在孤立的单元上。然而,在现实世界的工程场景中,定日镜通常是成排排列的,以最大限度地提高效率,而多个定日镜的空气动力学特性与独立或单个定日镜的空气动力学特性有很大不同。本文采用一种新型的矩形定日镜模型,对定日镜场内多个位置的风荷载进行了评估。在定日镜场风洞试验的基础上,选取最具代表性的40°工作仰角,研究定日镜在定日镜场不同位置的风荷载及减载策略。试验结果表明,定日镜场可以定性地分解为内部和边缘两个区域,内部区域各定日镜的最坏情况力和力矩基本相同。在此基础上,考虑了固定场强下优化阵列布置和采用风栅两种风荷载降低措施。定日镜场风荷载系数呈现出典型的“边高内低”趋势。在定日镜场密度一定的情况下,定日镜结构布置的变化对风效应有较大影响。在此基础上,对Peterka等人提出的广义堵塞比公式进行了改进,从而可以在相同密度下通过改变场的布置来降低风荷载。此外,研究发现,风栅栏减少风荷载主要是针对边缘区域定日镜,类似于在上游增加定日镜行。
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引用次数: 0
Financial globalization and energy transition: Insights from 149 countries 金融全球化与能源转型:来自149个国家的见解
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-04-15 Epub Date: 2026-02-10 DOI: 10.1016/j.renene.2026.125418
Mingming Zhang , Mengyao Cui , Liyun Liu , Dequn Zhou
The energy transition is continuously accelerating worldwide. Financial globalization, related to financing source, investment risk and technology transfer, affects energy transition. This study examines the impact of financial globalization on energy transitions by considering financial globalization using overall, de facto, and de jure measures. A comprehensive energy transition index is constructed based on 3E (energy, environment, and economy) theory. Data from between 2000 and 2019 are collected from 149 countries. A quantile regression panel data model is used and compared with a fixed effects model. The results show that financial globalization has a negative effect on energy transition in medium-energy transition countries but has a positive effect in low- and high-energy transition countries. The impact of financial globalization on energy transition in Europe is higher than that on other continents. The role of financial globalization in Belt and Road countries is more obvious; the Paris Agreement has optimized the role of financial globalization. Financial globalization plays a positive role in countries with low renewable energy consumption and in regions with low degrees of capital formation. Relevant governments should promote financial globalization, optimize the allocation of financial resource, formulate differentiated transition policies and strengthen financial risk management to promote energy transition.
全球能源转型持续加速。金融全球化涉及资金来源、投资风险和技术转移,影响能源转型。本研究考察了金融全球化对能源转型的影响,采用整体、事实上和法律上的衡量标准来考虑金融全球化。基于3E(能源、环境、经济)理论,构建了能源转型综合指数。2000年至2019年的数据收集自149个国家。采用分位数回归面板数据模型,并与固定效应模型进行了比较。研究结果表明,金融全球化对中等能源转型国家的能源转型具有负面影响,而对低能源转型国家和高能源转型国家的能源转型具有积极影响。金融全球化对欧洲能源转型的影响高于其他大洲。金融全球化在“一带一路”沿线国家的作用更为明显;《巴黎协定》优化了金融全球化的作用。金融全球化在可再生能源消费较低的国家和资本形成程度较低的地区发挥着积极作用。各国政府应推进金融全球化,优化金融资源配置,制定差别化转型政策,加强金融风险管理,促进能源转型。
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引用次数: 0
A novel grid-integration strategy for impulsive wave generation with electric-hydrogen system 一种新的电氢系统脉冲波发电并网策略
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-04-15 Epub Date: 2026-02-05 DOI: 10.1016/j.renene.2026.125385
Zhongnan Feng , Xiangning Lin , Fanrong Wei , Quan Sui , Hong Xiang , Kun Yu
Due to the inherent characteristics of wave resources, wave energy generation (WEG) exhibits impulsive characteristics that needs to be smoothed out before being utilized. The degradation loss of a single battery system to consume the impulsive power is significant. Considering the high energy density and storage portability of hydrogen, a hybrid system combining battery and flexible water electrolysis system is a promising choice for wave energy consumption. However, more diverse and complex consumption devices will introduce more operational conflicts and coordination challenges. Therefore, the paper firstly explores the dynamic characteristics of WEG, taking into account the comprehensive external environment and internal control factors. Then, the contradictory boundaries and collaborated domains between the characteristics of impulsive WEG and the consumption devices are clarified through theoretical analysis. Subsequently, a movable electric-hydrogen supplier (MEHS) powered by wave energy was proposed. Considering the requirements of internal multi-energy flow coupling and external multi-spatiotemporal interaction, a scheduling model is established to schedule energy capture, storage, and supply behavior of MEHS. The simulation results show that the proposed flexible scheduling framework can effectively match the dynamic characteristics of different devices, and maximize the utilization of wave energy resources for island microgrids.
由于波浪资源的固有特性,波浪能发电具有脉冲特性,在利用前需要对其进行平滑处理。单电池系统消耗脉冲功率的退化损失是显著的。考虑到氢的高能量密度和存储便携性,将电池与柔性水电解系统相结合的混合系统是一种很有前途的波浪能消纳选择。然而,更加多样化和复杂的消费设备将带来更多的操作冲突和协调挑战。因此,本文首先在综合考虑外部环境和内部控制因素的情况下,探讨WEG的动态特性。然后,通过理论分析,明确了脉冲WEG与消费装置特性之间的矛盾边界和协同域。随后,提出了一种以波浪能为动力的可移动电氢供应器。考虑内部多能量流耦合和外部多时空交互的要求,建立了MEHS能量捕获、存储和供应调度模型。仿真结果表明,所提出的柔性调度框架能够有效匹配不同设备的动态特性,最大限度地利用海岛微电网的波浪能资源。
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引用次数: 0
Cascade hydropower retrofitting for pumped storage in high-penetration renewable energy systems: Techno-economic perspectives 高渗透可再生能源系统中抽水蓄能梯级水电改造:技术经济视角
IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-04-15 Epub Date: 2026-02-03 DOI: 10.1016/j.renene.2026.125386
Zhenni Wang , Qiaofeng Tan , Xin Wen , Huaying Su , Guohua Fang , Hao Wang
Retrofitting hydropower plants with pumping stations (HPSH-P), reversible units (HPSH-PT), or new reservoirs (PSH) is critical for boosting grid flexibility and variable renewable energy (VRE) integration. However, comparative multi-scale operational characteristics and techno-economic trade-offs among these pathways remain underexplored. This study develops a scheduling model that captures multi-scale regulation for these retrofitting approaches, driven by a net-load-based time-of-use price curve. The performance of different pathways is further evaluated through techno-economic and sensitivity analyses, considering hydrological inflows, economic parameters, and round-trip efficiency. A Southwest China case study reveals that HPSH-P provides a cost-effective near-term solution for capital-constrained or low-capacity-factor plants. In contrast, HPSH-PT achieves a peak net present value of 7.0 billion CNY by effectively leveraging existing storage and expanded capacity at moderate investment. While PSH delivers superior technical performance, with an overall energy conversion efficiency of 79.8%, a VRE curtailment absorption rate of 9.9%, and an annual greenhouse gas reduction of 10.5 Mt CO2-eq, substantial capital costs for new reservoirs raise its break-even threshold. Notably, all schemes at their optimal capacities exhibit competitive levelized cost of energy (LCOE) below 200 CNY/MWh. These findings provide a systematic framework for transforming conventional hydropower into flexible, low-carbon energy storage assets.
用泵站(HPSH-P)、可逆机组(HPSH-PT)或新水库(PSH)改造水电站对于提高电网灵活性和可变可再生能源(VRE)的整合至关重要。然而,这些途径之间的比较多尺度操作特征和技术经济权衡仍未得到充分探讨。本研究开发了一个调度模型,该模型在基于净负荷的使用时间价格曲线的驱动下,捕捉了这些改造方法的多尺度调节。考虑到水文流入、经济参数和往返效率,通过技术经济和敏感性分析进一步评估了不同路径的性能。中国西南地区的一个案例研究表明,HPSH-P为资金紧张或低产能要素的工厂提供了一个具有成本效益的短期解决方案。相比之下,HPSH-PT在适度投资的情况下,通过有效利用现有存储和扩容容量,实现了70亿元的峰值净现值。虽然PSH具有卓越的技术性能,整体能源转换效率为79.8%,VRE弃风吸收率为9.9%,每年温室气体减排1050万吨二氧化碳当量,但新水库的大量资本成本提高了其盈亏平衡门槛。值得注意的是,所有方案在其最优容量下均表现出低于200元/兆瓦时的竞争性平准化能源成本(LCOE)。这些发现为将常规水电转变为灵活的低碳能源储存资产提供了一个系统框架。
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Renewable Energy
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