Renewable Energy最新文献_第7页

Solidification performance enhancement of a latent heat thermal energy storage system: A novel discontinuous fin configuration for vertical shell-and-tube design 潜热蓄热系统凝固性能的提高：一种新型非连续翅片结构的垂直壳管设计

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125275

Songzhen Tang , Pinwei Liu , Yuling Song , Huan Xi , Xuehong Wu , Xiaohu Yang , Ming Guo

This study investigates the critical challenge of low heat release rates in vertical latent heat thermal energy storage units, proposing an innovative discontinuous fin configurations. A numerical model of the wax solidification process was developed using the enthalpy-porosity method, with a focus on analyzing how the discontinuous fin structure regulates temperature field distribution and solidification rate. The results demonstrate that optimizing the fin geometric parameters leads to a significant enhancement in thermal energy storage performance. The main fin length (L₁) has a critical value of 15 mm. Variations in L₁ below 15 mm result in negligible differences in solidification performance, while further increases in L₁ lead to a gradual increase in the total solidification time. Additionally, the dimensionless bifurcation angle α has an optimal range of 0.45–0.6, which yields the shortest solidification time. The optimized discontinuous fin configuration (L₁ = 15 mm, α = 0.45) achieves a 22.14 % reduction in solidification time and a 28.45 % increase in heat release rate compared to conventional longitudinal fins. This study elucidates the mechanism by which discrete fins enhance the solidification process, providing a robust theoretical foundation and critical design parameters for the development of next-generation high-efficiency thermal energy storage units.

本研究探讨了垂直潜热储热装置低热释放率的关键挑战，提出了一种创新的不连续翅片配置。采用焓孔法建立了蜡凝固过程的数值模型，重点分析了非连续翅片结构对温度场分布和凝固速率的调节作用。结果表明，优化翅片几何参数可以显著提高储热性能。主鳍长度（L1）的临界值为15mm。当L1小于15 mm时，凝固性能的差异可以忽略不计，而L1的进一步增大会导致总凝固时间的逐渐增加。无因次分岔角α的最佳范围为0.45 ~ 0.6，凝固时间最短。优化后的非连续翅片结构（L1 = 15 mm, α = 0.45）与传统的纵向翅片相比，凝固时间缩短22.14%，放热率提高28.45%。该研究阐明了离散翅片增强凝固过程的机理，为下一代高效储热装置的开发提供了坚实的理论基础和关键的设计参数。

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引用次数: 0

Large-scale resource assessments for solar photovoltaics: A review of potential definitions, methodologies and future research needs 太阳能光伏的大规模资源评估：潜在定义、方法和未来研究需要的回顾

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2025.125080

Heidi Ursula Heinrichs , Jann M. Weinand , Sebastian Kebrich , Juan Camilo Gómez Trillos , Shuying Chen , Maxmilian Hoffmann , Tsamara Tsani , Ruihong Chen , Wenxuan Hu , Johannes Schmidt , Carolin Ulbrich , Vladyslav Mikhnych , Jochen Linßen , Russell McKenna

Identifying suitable locations for solar photovoltaic (PV) systems is key to a successful global energy transition. However, PV assessments vary widely in terms of input data used, methodological approaches applied, and therefore ultimately in the resulting total potentials, making their comparison and interpretation challenging. Here, we review the current literature with respect to existing definitions of potentials, associated criteria as well as methodologies to identify current trends in this field and potential future research directions with a focus on large-scale assessments covering at least an entire country or a large region within a very large country. We observed a wide range of assumptions and methodologies used in such studies, sometimes combined with lack of transparency in documentation. Furthermore, the literature lacks consideration of system integration costs to account for the variable PV generation profile. The inclusion of non-technical factors is challenged by the lack of consistent theoretical and methodological approaches and interdisciplinary collaborations, as well as limited availability of data. Combined with a frequent lack of validation attempts, these aspects ultimately limit the comparability and reliability of results. The comprehensive overview in this review assists modelers and decision makers in utilizing best-practice methods for PV potential assessments to improve traceability and comparability of future assessments.

确定合适的太阳能光伏（PV）系统的位置是全球能源转型成功的关键。然而，PV评估在使用的输入数据、采用的方法方法以及最终得出的总潜力方面差异很大，这使得它们的比较和解释具有挑战性。在这里，我们回顾了现有的潜力定义、相关标准和方法，以确定该领域的当前趋势和潜在的未来研究方向，重点是至少覆盖整个国家或一个非常大的国家中的一个大地区的大规模评估。我们观察到在这些研究中使用了广泛的假设和方法，有时与缺乏透明度的文件相结合。此外，文献缺乏考虑系统集成成本来解释可变的光伏发电概况。由于缺乏一致的理论和方法方法和跨学科合作，以及数据的可得性有限，纳入非技术因素受到挑战。再加上经常缺乏验证尝试，这些方面最终限制了结果的可比性和可靠性。本综述中的全面概述有助于建模者和决策者利用最佳实践方法进行光伏潜力评估，以提高未来评估的可追溯性和可比性。

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引用次数: 0

SPFNet2: A lightweight solar panel fault detection framework using parallel U-Net and MobileNetV3Large SPFNet2：一个基于U-Net和MobileNetV3Large的轻型太阳能板故障检测框架

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125235

Rifat Al Mamun Rudro, Md.Hamid Uddin, Zerin Hasan Sahosh, Sumaiya Malik, Soily Ghosh Sneha, Rajarshi Roy Chowdhury, Kamruddin Nur

Identifying and determining defects in solar panels is necessary to ensure the efficiency and reliability of renewable energy systems. This research introduces SPFNet2, a novel lightweight deep learning model that integrates advanced segmentation and classification techniques to address traditional fault detection limitations. The model combines MobileNetV3Large with a custom convolutional pathway and an attention mechanism, enhancing accuracy in identifying and isolating faults such as physical damage, dust accumulation, and bird droppings. The model effectively addresses dataset imbalances by leveraging advanced preprocessing methods, including Binary masks and Gaussian noise. Segmentation is achieved using a dual-path architecture with up-sampling layers, recording outstanding metrics, including a Dice coefficient of 0.97 and an intersection over union (IoU) of 0.95. SPFNet2 demonstrated exceptional performance, achieving an overall accuracy of over 96%, while training and validation accuracies reached 99.82% and 97.65%, respectively, outperforming existing models. Furthermore, the proposed model attained F1-score and Precision–Recall values of 99% and 98%, respectively, highlighting its superior effectiveness.

识别和确定太阳能电池板的缺陷对于确保可再生能源系统的效率和可靠性是必要的。本研究引入了一种新的轻量级深度学习模型SPFNet2，该模型集成了先进的分割和分类技术，以解决传统故障检测的局限性。该模型将MobileNetV3Large与自定义卷积路径和注意机制相结合，提高了识别和隔离物理损坏、灰尘积聚和鸟粪等故障的准确性。该模型通过利用先进的预处理方法，包括二进制掩模和高斯噪声，有效地解决了数据集不平衡问题。分割是使用带有上采样层的双路径架构实现的，记录了出色的指标，包括Dice系数0.97和交集超过联合（IoU） 0.95。SPFNet2表现出优异的性能，总体准确率超过96%，而训练和验证准确率分别达到99.82%和97.65%，优于现有模型。此外，该模型的f1得分和Precision-Recall值分别达到99%和98%，显示了其优越的有效性。

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引用次数: 0

Structural evolution and driving mechanisms of the global wind power equipment trade network 全球风电设备贸易网络的结构演变与驱动机制

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125276

Aiping Wu , Xiaoping Zhang , Mingxing Chen , Wenhua Lian , Jiawen Song

Driven by trade barriers, geopolitical tensions, and the global energy transition, the global trade network of wind power equipment is undergoing structural restructuring. Using complex network analysis, motif detection method, TERGM, and gravity model, this study characterizes the network's structural evolution from the perspective of technological complexity and examines its driving mechanisms. The results show that the United States, Germany, and China occupy the network's core as major exporters. The hierarchy of core technological component trade is becoming more rigid, while that of structural support components is flattening. Motif analysis reveals a diffusion-oriented pattern with intermediary nodes for core components and a centralized direct-supply pattern for structural components. Developed countries strengthen their dominance in high-tech segments but weaken in lower-value ones, whereas China shows comprehensive progress across the value chain. The evolution of the global wind power equipment trade relationships reflects the joint influence of endogenous structural features, exogenous network effects, and actor heterogeneity. Linguistic proximity, shared borders, reciprocity, structural closure, and the technological and economic development levels of countries all exert a positive influence on the evolution of the trade network. PPML gravity estimation further indicates that tariff barriers strongly inhibit bilateral trade in core components, while technical barriers mainly restrict structural components, with heterogeneous interaction effects among policy tools. The findings offer insights for promoting energy transition, reducing trade risks, and advancing high-quality development of the global new energy trade.

在贸易壁垒、地缘政治紧张局势和全球能源转型的驱动下，全球风电设备贸易网络正在经历结构性重组。运用复杂网络分析、基序检测方法、TERGM和重力模型，从技术复杂性的角度对网络结构演化进行了表征，并探讨了其驱动机制。结果表明，美国、德国和中国作为主要出口国占据了网络的核心。核心技术部件贸易层次结构趋于刚性，结构支撑部件贸易层次结构趋于扁平化。基序分析显示，核心部件呈现以中间节点为主的扩散模式，结构部件呈现集中式直接供应模式。发达国家加强了在高科技领域的主导地位，但在低价值领域的主导地位有所减弱，而中国则在整个价值链上取得了全面进步。全球风电设备贸易关系演变反映了内生结构特征、外生网络效应和行动者异质性的共同影响。语言接近、共享边界、互惠、结构封闭以及国家的技术和经济发展水平都对贸易网络的演变产生积极影响。PPML重力估计进一步表明，关税壁垒对双边核心组件贸易的抑制作用较强，而技术壁垒对双边结构性组件贸易的抑制作用较强，且政策工具之间的相互作用存在异质性。研究结果为促进能源转型、降低贸易风险、推动全球新能源贸易高质量发展提供了参考。

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引用次数: 0

Electrodialysis-assisted ionic liquid recovery with hydrogen production in biomass processing 生物质加工中电渗析辅助离子液体产氢回收

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125264

Xiaocong Liang, Yongkang Guo, Yangang Zhang

The efficient recovery of ionic liquids is crucial for the sustainable conversion of biomass using ionic liquids. Electrodialysis has been demonstrated as an effective method for ionic liquid recovery through the selective transfer of target ions. The potential for simultaneous hydrogen (H₂) production can be integrated into electrodialysis operations, owing to the reduction reaction occurring at the cathode. Therefore, the feasibility of electrodialysis for concurrent recovery of the ionic liquid 1-butyl-3-methylimidazolium chloride (BmimCl) and H₂ production following sugarcane bagasse pretreatment was evaluated using a commercial electrodialysis module. The process relied on the enrichment of Bmim⁺ and Cl⁻ ions coupled with the hydrogen evolution reaction (HER) involving H⁺. Under optimized conditions, the maximum BmimCl recovery ratio reached 99.2 %, with a specific energy consumption of 7.278 mol/kW·h. The H₂ production rate and Faraday efficiency achieved 402.1 mmol/(m²·min) and 97.3 %. Both the reusability of electrodialysis system and the recycling performance of regenerated BmimCl were validated over five consecutive cycles. The estimated recovery cost of BmimCl ranged within 0.019–0.453 $/mol. This study present a novel approach for simultaneous ionic liquid recovery and H₂ production after biomass processing, which enhanced the sustainability of ionic liquid-based biorefinery and offered new perspectives for green hydrogen production.

离子液体的有效回收是利用离子液体实现生物质可持续转化的关键。电渗析已被证明是一种通过选择性转移目标离子来回收离子液体的有效方法。由于阴极发生还原反应，同时产生氢（H2）的潜力可以集成到电渗析操作中。因此，利用商业电渗析模块评估了电渗析同时回收蔗渣预处理后离子液体1-丁基-3-甲基咪唑氯（BmimCl）和产氢的可行性。这一过程依赖于Bmim+和Cl−离子的富集以及H+的析氢反应（HER）。在优化条件下，bimcl回收率最高可达99.2%，比能耗为7.278 mol/kW·h。氢气产率和法拉第效率分别达到402.1 mmol/（m2·min）和97.3%。在连续5个循环中验证了电渗析系统的可重复使用性和再生bmiccl的回收性能。估计BmimCl的回收成本在0.019-0.453美元/mol之间。本研究提出了一种生物质加工后离子液体回收和制氢同时进行的新方法，增强了离子液体生物炼制的可持续性，为绿色制氢提供了新的前景。

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引用次数: 0

Comparative evaluation of ECMWF and GFS for operational day-ahead wind speed forecasting ECMWF和GFS对业务日前风速预报的比较评价

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125263

Xin Xia , Yong Luo , Peidu Li , Rui Chang

Accurate wind speed forecasting is essential for renewable energy integration. However, the relative contributions of global numerical weather prediction (NWP) selection, regional downscaling, and artificial intelligence (AI) post-processing within operational forecasting chains remain poorly quantified. This study systematically evaluates ECMWF HRES and GFS within a unified framework integrating Weather Research and Forecasting (WRF) downscaling and Pyraformer-based AI correction, using three years of observations from wind farms in northwestern China's Gobi region. Three principal findings emerge. First, ECMWF HRES consistently outperforms GFS, with average advantages of 3–4 % RMSE reduction that increase systematically with forecast lead time. Second, AI post-processing contributes approximately 20 % RMSE reduction compared to 3–4 % from NWP switching. AI effectiveness diminishes at extended lead times while NWP quality differences become more pronounced. Third, forecast activity metrics expose a critical limitation invisible to traditional error measures. AI corrections systematically suppress forecast variability by 20–30 %, degrading extreme event representation essential for operational decisions. These findings demonstrate that AI post-processing delivers five-to six-fold greater improvements than premium NWP subscriptions, reshaping resource allocation priorities. The results provide practical guidance for forecasting system design and highlight the necessity of evaluation frameworks balancing error reduction with variability preservation.

准确的风速预报对可再生能源的整合至关重要。然而，全球数值天气预报（NWP）选择、区域降尺度和人工智能（AI）后处理在业务预报链中的相对贡献仍然难以量化。本研究利用中国西北戈壁地区风电场3年的观测数据，在整合天气研究与预报（WRF）降尺度和基于pyraformer的人工智能校正的统一框架内，系统地评估了ECMWF HRES和GFS。主要有三个发现。首先，ECMWF HRES的表现始终优于GFS，平均RMSE降低3 - 4%，随着预测提前期的增加，RMSE降低幅度也在不断增加。其次，与NWP切换相比，人工智能后处理贡献了大约20%的RMSE降低。人工智能的有效性随着交货时间的延长而降低，而NWP的质量差异变得更加明显。第三，预测活动度量暴露了传统误差度量不可见的关键限制。人工智能修正系统地抑制了20 - 30%的预测变异性，降低了对操作决策至关重要的极端事件表示。这些发现表明，人工智能后处理提供了比付费NWP订阅高5到6倍的改进，重塑了资源分配优先级。研究结果为预测系统设计提供了实用的指导，并强调了评估框架在减少误差和保持可变性之间取得平衡的必要性。

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引用次数: 0

Promoting the selective hydrogenolysis of C-O bond in lignin over molybdenum carbide by the modulation of MoC/Mo2C heterostructure MoC/Mo2C异质结构调控促进碳化钼上木质素C-O键的选择性氢解

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125277

Lei Chen, Chuanxin Cao, Kai Chang, Yuying Zhao, Dongliang Hua, Laizhi Sun, Shuangxia Yang, Zhiguo Dong, Tianjin Li

Catalysts for the selective cleavage of C-O bond in lignin are important for the synthesis of aromatic monomers. Herein we developed a promising strategy for preparation of dual phase Mo_xC (α-MoC/β-Mo₂C) nano-catalyst embedded within nitrogen-doped carbon via temperature-programmed carburization of C-Mo-N precursor. The intrinsic activity of the molybdenum carbide is adjusted by varying the Mo: N ratio to maximize the exposed active sites. The Mo:N ratio during synthesis controls the relative formation of α-MoC and β-Mo₂C by influencing the local carbon and nitrogen environment during carburization. The Mo_xC with the optimal composition of α-MoC/β-Mo₂C (0.48/0.52) demonstrates that the real birch lignin could be completely converted at 260 °C after 3 h with 23.8 wt% aromatic monomers yield. Furthermore, the catalyst shows no significant loss of catalytic activity in five consecutive runs. Such prominent performance not only benefits from the presence of pyridine N that modulate the orbital structure of Mo to promote H₂ activation, but also should be ascribed to the strong synergistic effect between α-MoC and β-Mo₂C. The numerous hetero-interfaces offer abundant active sites with a strong H₂ activation and the disassociation energy of C_alkyl-O bond is significantly reduced on adsorption on α-MoC and β-Mo₂C interface.

木质素C-O键选择性裂解催化剂对芳香单体的合成具有重要意义。本研究提出了一种利用C-Mo-N前驱体程控渗碳制备氮掺杂碳包埋双相MoxC （α-MoC/β-Mo2C）纳米催化剂的方法。通过改变Mo: N比来调节碳化钼的本构活性，使暴露的活性位点最大化。合成过程中的Mo:N比通过影响渗碳过程中局部碳氮环境来控制α-MoC和β-Mo2C的相对形成。α-MoC/β-Mo2C的最佳组成（0.48/0.52）表明，在260℃下，3 h后，真桦木素可完全转化，芳香单体收率为23.8 wt%。此外，该催化剂在连续5次运行中没有表现出明显的催化活性损失。这种优异的性能不仅得益于吡啶N的存在，可以调节Mo的轨道结构，促进H2的活化，还应归因于α-MoC和β-Mo2C之间的强协同效应。在α-MoC和β-Mo2C界面上吸附后，Calkyl-O键的解离能显著降低。

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引用次数: 0

Microwave-assisted upcycling of coke wastes from a pilot-scale biomass pyrolysis system: Method optimization and mechanism insights 微波辅助生物质热解系统中焦炭废弃物的升级回收：方法优化和机制见解

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125274

Siyu Wang, Lianhua Xu, Ruobing Lin, Daoguang Sun, Huiyan Zhang

Coke waste accumulation in biomass pyrolysis systems poses significant operational and environmental challenges, disrupting production and limiting renewable energy scalability. This study presents a self-catalyzed microwave-assisted pyrolysis method, leveraging the intrinsic catalytic properties of coke waste to facilitate the reaction without requiring external catalysts. This process seeks to transform coke waste from a pilot-scale biomass pyrolysis system into high-value carbon nanotubes (CNTs) and synthesis gas. Comprehensive analysis of coke samples from various pipeline locations revealed notable structural and chemical differences, which in turn influenced their microwave absorption and reactivity. Experimental results demonstrated that optimizing the microwave power and blending ratios of different coke components significantly enhanced the selectivity of CNTs and H₂ production. Isothermal kinetic modeling confirmed a strong correlation with a first-order reaction model, with an activation energy of 11.173 kJ/mol. Furthermore, the CNTs exhibited outstanding electrocatalytic performance, reaching an onset potential of 0.85 V vs. reversible hydrogen electrode (RHE) in the oxygen reduction reaction (ORR), comparable to commercial Pt/C catalysts. This underscores their potential as efficient electrocatalysts for renewable energy devices, such as fuel cells, demonstrating the value-added utilization of coke waste through microwave-assisted pyrolysis and its viability for sustainable energy applications.

焦炭废弃物在生物质热解系统中的积累带来了重大的操作和环境挑战，破坏了生产并限制了可再生能源的可扩展性。本研究提出了一种自催化微波辅助热解方法，利用焦炭废弃物本身的催化特性，在不需要外界催化剂的情况下促进反应的进行。该工艺旨在将中试规模生物质热解系统中的焦炭废料转化为高价值的碳纳米管（CNTs）和合成气。对不同管道位置的焦炭样品进行综合分析，发现其结构和化学成分存在显著差异，从而影响了其微波吸收和反应性。实验结果表明，优化微波功率和不同焦炭组分的掺合比例显著提高了CNTs的选择性和产氢率。等温动力学模型证实了与一级反应模型的强相关性，活化能为11.173 kJ/mol。此外，碳纳米管表现出优异的电催化性能，在氧还原反应（ORR）中，与可逆氢电极（RHE）相比，碳纳米管的起始电位达到0.85 V，与商用Pt/C催化剂相当。这强调了它们作为可再生能源设备（如燃料电池）的高效电催化剂的潜力，证明了通过微波辅助热解对焦炭废物的增值利用及其在可持续能源应用中的可行性。

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引用次数: 0

New wood chips type for residential use: a pellet substitute for the European market 住宅用新型木屑：欧洲市场的颗粒替代品

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125267

Claudio Fagarazzi, Andrea Miceli

The European energy market in rural areas has been characterized by steady growth in wood pellet consumption; recent supply chain disruptions and geopolitical tensions have exposed market vulnerabilities. This study investigates new biofuel, mini wood chips (MWC) and calibrated mini wood chips (CMWC), as substitutes for imported pellets in residential heating in Europe. Tests were conducted on a conventional pellet stove adapted to use the new biofuels. Although MWC faced operational issues due to oversized chips that obstructed the auger, CMWC exhibited reliable performance during extended trials.

A statistical evaluation was performed using two-way analysis of variance (ANOVA), and compromise programming to assess a setup with respect to key parameters such as the efficiency; global power output; flue gas temperature; and carbon monoxide, particulate matter, and oxygen emissions. The analysis revealed that optimizing stove settings is essential to ensure functionality, maximize power, and minimize emissions when using CMWC. These findings suggest that CMWC is an alternative to conventional wood pellets, reducing import, enhancing supply chains, and fostering local economic and environmental benefits.

Overall, the integration of CMWC emerges as both a viable technological pathway for household heating and a strategic contribution to energy policy, reinforcing the goals of ecological transition and sustainable territorial development.

欧洲农村地区能源市场的特点是木屑颗粒消费稳步增长；最近的供应链中断和地缘政治紧张局势暴露了市场的脆弱性。本研究调查了新型生物燃料，微型木屑（MWC）和校准微型木屑（CMWC），作为欧洲住宅供暖中进口颗粒的替代品。测试是在一个传统的颗粒炉上进行的，该炉经过改造后可以使用这种新的生物燃料。尽管由于超大的芯片阻碍了螺旋钻，MWC面临着操作问题，但在长时间的试验中，CMWC表现出了可靠的性能。使用双向方差分析（ANOVA）进行统计评估，并使用折衷程序来评估与效率等关键参数相关的设置；全球功率输出；烟气温度；还有一氧化碳、颗粒物和氧气的排放。分析表明，在使用CMWC时，优化炉子设置对于确保功能、最大化功率和最小化排放至关重要。这些发现表明，CMWC是传统木屑颗粒的替代品，可以减少进口，加强供应链，促进当地经济和环境效益。总体而言，CMWC的整合既是家庭供暖的可行技术途径，也是对能源政策的战略性贡献，加强了生态转型和可持续领土发展的目标。

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引用次数: 0

Socio-productive diagnosis and solar dryer co-design for post-harvest loss reduction in rural communities 社会生产诊断和太阳能干燥机共同设计，减少农村社区收获后损失

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-12 DOI: 10.1016/j.renene.2026.125259

Tatiana Fajardo-Ariza , Iván D. García-Medina , Luis A. Castillo-Sanabria , Andrea Nieto-Veloza , Carlos M. Zuluaga-Domínguez

Food loss in rural Latin American communities is aggravated by limited postharvest infrastructure and poor market access, reducing food security and constraining opportunities for value addition. In northeastern Colombia, this particularly affects crops whose transformation could generate income but is restricted by deficient roads and limited governmental support. Solar dehydration represents a sustainable alternative to extend shelf life, facilitate transport, and strengthen short food supply chains. This study aimed to design, construct, and evaluate a passive solar dryer adapted to local productive, social, and environmental conditions through a participatory co-design process. A socio-productive diagnosis revealed land-use restrictions, precarious infrastructure, and a diversified but fragile economy dependent on perishable products. These findings guided decisions on materials, structure, load capacity, and modularity of the dryer. The co-designed solar dryer achieved an overall thermal energy efficiency of 49 %, consistent with values reported for passive solar drying systems under comparable climatic conditions, maintaining internal temperatures up to 13 °C above ambient and relative humidity below 40 %. Drying tests for plantain and banana reached safe moisture levels in 9.4 h and 8.9 h, respectively. Products showed acceptable physicochemical composition and absence of pathogens. To our knowledge, this is the first report in Colombia that explicitly integrates a socio-productive diagnosis with a participatory co-design, construction, and evaluation of a passive solar dryer, providing a replicable model for reducing post-harvest losses and strengthening local value chains.

由于采收后基础设施有限和市场准入差，粮食安全降低，并限制了增值机会，加剧了拉丁美洲农村社区的粮食损失。在哥伦比亚东北部，这尤其影响到作物，这些作物的转化可以产生收入，但由于道路不足和政府支持有限而受到限制。太阳能脱水代表了一种可持续的替代方案，可以延长保质期，促进运输，加强短食品供应链。本研究旨在通过参与式协同设计过程，设计、建造和评估一种适应当地生产、社会和环境条件的被动式太阳能干燥机。社会生产诊断揭示了土地使用限制、基础设施不稳定以及依赖易腐产品的多样化但脆弱的经济。这些发现指导决定的材料，结构，负载能力，和模块化的干燥器。共同设计的太阳能干燥机实现了49%的整体热能效率，与在可比气候条件下被动式太阳能干燥系统的报告值一致，保持内部温度高于环境温度13°C，相对湿度低于40%。大蕉和香蕉的干燥试验分别在9.4 h和8.9 h达到安全水分水平。产品理化成分合格，不含病原体。据我们所知，这是哥伦比亚第一份明确将社会生产诊断与被动式太阳能干燥机的参与性共同设计、建造和评估相结合的报告，为减少收获后损失和加强当地价值链提供了可复制的模式。

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引用次数: 0