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Dynamic assessment of electrification pathways for heating and hot water in Korean Multi-Family residential buildings 韩国多户住宅供暖和热水电气化途径的动态评估
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.enconman.2026.121107
Daneun Kim , Juneyeol Jung , Jaeheuk Choi , Hoseong Lee
The electrification of heating and domestic hot-water systems in Korean multi-family residential buildings is not well understood, as most studies overlook their distinct hydronic features—low-temperature radiant-floor heating, synchronized DHW demand, and large vertical distribution losses. This study develops an integrated TRNSYS-based dynamic framework that captures these constraints and evaluates stepwise electrification pathways rather than only end-state systems. After screening key design variables to establish realistic boundary conditions, four transition scenarios are assessed: a boiler baseline, a hybrid retrofit with central ASHP DHW, a mixed system with individual ASHP heating and central DHW, and a fully individual ASHP configuration. Results show that the fully individual system delivers the highest seasonal efficiency, reducing primary energy use and CO2 emissions by up to 43% and 41% relative to the baseline. Intermediate stages also offer practical benefits, with hybrid and mixed configurations improving feasibility and reducing gas use under existing hydronic constraints. Overall, the study provides a practical and context-specific assessment framework for electrifying high-density apartment buildings, emphasizing that effective decarbonization requires staged, system-specific transition strategies tailored to Korean building conditions.
韩国多户住宅供暖和生活热水系统的电气化尚未得到很好的了解,因为大多数研究忽略了其独特的流体动力学特征-低温辐射地板采暖,同步DHW需求和大的垂直分布损耗。本研究开发了一个集成的基于trnsys的动态框架,该框架可以捕获这些限制并评估逐步电气化途径,而不仅仅是最终状态系统。在筛选关键设计变量以建立现实的边界条件后,评估了四种过渡方案:锅炉基线,中央空气源热泵DHW的混合改造,单个空气源热泵供暖和中央DHW的混合系统,以及完全独立的空气源热泵配置。结果表明,完全独立的系统提供了最高的季节性效率,相对于基线,减少了43%和41%的一次能源使用和二氧化碳排放。中间阶段也具有实际的优势,混合和混合配置提高了可行性,并减少了现有水力限制下的天然气使用。总体而言,该研究为高密度公寓楼的电气化提供了一个实用的、特定于环境的评估框架,强调有效的脱碳需要根据韩国建筑条件量身定制的分阶段、系统特定的过渡策略。
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引用次数: 0
Intensified turbulent thermal convection with reversible reactive fluid 可逆反应流体强化湍流热对流
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.enconman.2026.121111
Ran Yao, Sajad Jafari, Christophe Duwig
Enhancing heat transfer in turbulent convection has been a long-standing challenge in many energy and industrial processes. However, despite decades of efforts, conventional strategies have achieved only limited success, due to the intrinsic bounds of turbulent mixing. Inspired by thermal-chemical energy conversion, this work unlocks a fundamentally new route for intensified heat transfer by introducing a reversible chemical reaction (N2O4 ↔ 2NO2) into Rayleigh-Bénard convection. The resulting reactive convection achieves an unprecedented increase in heat transfer (over seven times) relative to conventional non-reactive fluids. The underlying mechanism is described by a simplified double-film model: heat is absorbed as chemical energy in an endothermic film near the heated wall, then transported by reaction-intensified turbulence, and finally releases in an exothermic film near the cold wall. Unsteady analysis further confirms the coupling between chemical reaction and turbulence, particularly the coherent structures. Beyond advancing thermal convection theory, the approach offers practical potential for low-temperature waste-heat recovery where reaction reversibility is maintained, and for the design of gaseous space thermal management system.
在许多能源和工业过程中,增强湍流对流中的传热一直是一个长期存在的挑战。然而,尽管经过了几十年的努力,由于湍流混合的固有界限,传统策略只取得了有限的成功。受热化学能转换的启发,这项工作通过将可逆化学反应(N2O4↔2NO2)引入瑞利-巴萨纳德对流,为强化传热开辟了一条全新途径。与传统的非反应性流体相比,由此产生的反应性对流实现了前所未有的传热增加(超过7倍)。其基本机理用一个简化的双膜模型来描述:热作为化学能在靠近加热壁的吸热膜中被吸收,然后通过反应强化的湍流传递,最后在靠近冷壁的放热膜中释放。非定常分析进一步证实了化学反应与湍流之间的耦合,特别是相干结构。除了推进热对流理论之外,该方法还为保持反应可逆性的低温废热回收以及气体空间热管理系统的设计提供了实践潜力。
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引用次数: 0
A comparative conceptual analysis of CO2 heat pump dryers with closed-loop and open-loop air cycles 二氧化碳热泵干燥机的闭环和开环空气循环的概念比较分析
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.enconman.2026.121093
Jay Wang
This study has comprehensively compared and analysed CO2 heat pump dryers operating under closed-loop and open-loop air cycles to evaluate their energy efficiency and drying performance. Unlike the conventional closed-loop air cycle that uses dry recirculated air as its inlet, the open-loop air cycle operates only with fresh ambient air. The physical models and working principles have been illustrated using psychrometric charts, and the influence of moisture variation has been considered in the fin-and-tube heat exchanger design for both the gas cooler and the evaporator. In the case study under typical hot and humid climate conditions (ambient temperature of 40 °C), the simulation compares three cycles over an air mass flow rate ranging from 0.5 kg/s to 1 kg/s. The open-loop air cycle with a wet air outlet achieves the largest heating capacity, i.e.: 17.44 kW at 1 kg/s, because the air is cooled in the evaporator first, allowing a greater temperature rise in the gas cooler. The open-loop air cycle with a dry air outlet produces the highest air temperature after the gas cooler, i.e.: 60.8 °C at 0.5 kg/s, which increases the air’s moisture absorption capacity. Compared with the closed-loop air cycle, the open-loop air cycle with dry air outlet proves more efficient for drying, delivering a shorter drying time (27.77 min at 0.5 kg/s) and a higher drying efficiency (0.8640 kg/kWh at 0.5 kg/s). Although the open-loop air cycle with a wet air outlet achieves the highest coefficient of performance of 2.31 at 1 kg/s, its drying performance declines obviously at higher mass flow rates, with specific moisture extraction rate dropping to 0.0767 kg/kWh. Overall, the configuration of open-loop air cycle with dry air outlet is the superior option, as it combines the shortest drying time and the highest specific moisture extraction rate, which are two critical metrics for heat pump dryers.
本研究全面比较和分析了在闭环和开环空气循环下运行的CO2热泵烘干机,以评估其能源效率和干燥性能。与传统的使用干燥再循环空气作为入口的闭环空气循环不同,开环空气循环只使用新鲜的环境空气。用干湿图说明了物理模型和工作原理,并在气体冷却器和蒸发器的翅片管式换热器设计中考虑了湿度变化的影响。在典型湿热气候条件下(环境温度为40°C)的案例研究中,模拟比较了空气质量流速从0.5 kg/s到1 kg/s的三个循环。带湿风出口的开环空气循环以1kg /s的速度获得最大的供热能力,即:17.44 kW,因为空气首先在蒸发器中冷却,使得气体冷却器中的温度上升幅度更大。干燥出风口的开环空气循环在冷却器后产生的最高空气温度为:0.5 kg/s下的60.8℃,增加了空气的吸湿能力。与闭环空气循环相比,带干风出口的开环空气循环的干燥效率更高,干燥时间更短(0.5 kg/s时为27.77 min),干燥效率更高(0.5 kg/s时为0.8640 kg/kWh)。虽然带湿风出口的开环空气循环在1 kg/s时的性能系数最高,达到2.31,但在较高的质量流量下,其干燥性能明显下降,比抽湿率降至0.0767 kg/kWh。总的来说,带干风出口的开环空气循环配置是优越的选择,因为它结合了最短的干燥时间和最高的比湿提取率,这是热泵干燥机的两个关键指标。
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引用次数: 0
A PCM based finned heat sink coupled with a finned heat pipe is an efficient thermal management option for portable electronic gadgets 基于PCM的翅片散热器与翅片热管相结合,是便携式电子设备的有效热管理选择
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.enconman.2026.121118
Bikash Kumar, Y. Naresh, J. Banerjee
Efficient thermal regulation of compact electronic devices remains a critical challenge as power densities continue to increase, necessitating effective passive cooling solutions. In PCM-based thermal management systems, the discharge cycle is just as important as the charging cycle, but it is often not studied enough. This work experimentally investigates in detail four different configurations of a heat sink (HS) with a phase change material (PCM): (i) a PCM-filled heat sink (PHS), (ii) a PCM-filled finned heat sink (PFHS), (iii) a PCM-filled finned heat sink integrated with a heat pipe (PFHSHP), and (iv) a PCM-filled finned heat sink coupled with a finned heat pipe (PFHSFHP). Docosane is the selected phase change material, and the tests are carried out at different power inputs (6, 8, 10, and 12 W) and controlled surrounding temperatures (24, 26, and 28 °C). The findings reveal that thermal performance depends to a large extent on the configuration and ambient conditions, and better performance is achieved at surrounding temperature of 24 °C. Among the investigated designs, the PFHSFHP configuration consistently exhibits the best charging and discharging performance across all operating conditions. For example, at an 8 W power level and ST = 28 °C, the percentage improvement in charging time in PFHSFHP compared to PHS, PFHS, and PFHSHP is 35.49 %, 34.06 %, and 27.54 % respectively. Under the same conditions, the percentage reduction in discharging time is 30.94 %, 18.78 %, and 11.99 % respectively. The performance increase is mainly due to better heat spreading and faster heat rejection, which were made possible by the finned condenser section of the heat pipe, which maintained a higher thermal driving potential during both the melting and solidification of the PCM. Energy-based thermodynamic analysis further confirms the dominant role of the heat pipe in heat transport, particularly during the discharging phase. In summary, the PFHSFHP setup is a powerful and reliable passive thermal management method that can be utilized for the next generation of miniaturized electronic devices, offering extended thermal buffering, accelerated heat dissipation, and enhanced operational stability.
随着功率密度的不断增加,小型电子设备的高效热调节仍然是一个关键的挑战,需要有效的被动冷却解决方案。在基于pcm的热管理系统中,放电周期与充电周期同样重要,但通常研究不够。本研究通过实验详细研究了相变材料(PCM)的四种不同结构的散热器(HS):(i)填充PCM的散热器(PHS), (ii)填充PCM的翅片散热器(PFHS), (iii)填充PCM的翅片散热器与热管集成(PFHSHP),以及(iv)填充PCM的翅片散热器与翅片热管耦合(PFHSFHP)。Docosane是所选的相变材料,测试在不同的功率输入(6、8、10和12 W)和受控的环境温度(24、26和28°C)下进行。研究结果表明,热性能在很大程度上取决于结构和环境条件,在24°C的环境温度下可以获得更好的性能。在所研究的设计中,PFHSFHP配置在所有操作条件下始终表现出最佳的充放电性能。例如,在8 W功率和温度为28°C时,PFHSFHP与PHS、PFHS和PFHSHP相比,充电时间的改善百分比分别为35.49%、34.06%和27.54%。在相同条件下,放电时间分别缩短30.94%、18.78%和11.99%。性能的提高主要是由于热管的翅片冷凝器段在PCM熔化和凝固过程中都保持了较高的热驱动势,从而实现了更好的传热和更快的散热。基于能量的热力学分析进一步证实了热管在热传递中的主导作用,特别是在放电阶段。总之,PFHSFHP装置是一种强大而可靠的被动热管理方法,可用于下一代小型化电子设备,提供扩展的热缓冲、加速的散热和增强的运行稳定性。
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引用次数: 0
Selection of underground hydrogen storage systems using a novel fuzzy model 基于模糊模型的地下储氢系统选择
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.enconman.2026.121082
Ömer Faruk Görçün , Gülay Demir , Dragan Pamucar , Vladimir Simic
<div><div>Storing hydrogen resources underground can accelerate the transition to renewable energy, facilitate energy supply security, and the adoption and expansion of hydrogen energy, a clean energy source. The selection of sustainable underground hydrogen storage systems is a critical research topic for addressing environmental issues caused using fossil fuels. However, decision-makers still lack a consensus-based and sustainability-oriented framework that can comparatively evaluate alternative underground hydrogen storage geological formations under economic, environmental, social, and technical uncertainties, which constitutes a critical barrier to large-scale hydrogen deployment. This issue has become more prominent as fossil-based fuel reserves are gradually decreasing worldwide. In contrast, researchers and practitioners lack a consensus on which underground storage method is most suitable for economical, safe, and efficient hydrogen storage. If this problem is not addressed correctly and reasonable solutions are not obtained, continued dependence on fossil fuels may persist. Alternatively, other renewable energy sources with relatively lower efficiency and performance may be adopted. In both cases, significant delays in achieving the global sustainability goal are likely to occur. We propose an integrated fuzzy decision-making framework (F-WENSLO & Dombi-Bonferroni & F-ARTASI) to address this selection problem under uncertainty. The proposed framework integrates fuzzy WENSLO (Weights by ENvelope and SLOpe) for robust sustainability-based criteria weighting, the Dombi–Bonferroni aggregation operator to model interdependencies among criteria explicitly, and the fuzzy ARTASI (Alternative Ranking Technique based on Adaptive Standardized Intervals) method to provide flexible and stable ranking of geological alternatives beyond rigid distance-based approaches. Key advantages of the proposed model include producing reliable and consistent solutions that accurately reflect real-world conditions for selecting sustainable underground hydrogen storage systems. The results revealed that C14 (job creation and employment opportunities) (0.0603) is the most influential criterion in selecting the most suitable storage system. In addition, salt caverns with an <span><math><mrow><msub><mi>Ω</mi><mi>i</mi></msub></mrow></math></span> of 10,5167 have achieved the highest score, placing them in the first position, and it is the most suitable and advantageous underground hydrogen storage option. The suggested decision-making tool can yield reliable and robust solutions in real-world conditions, enabling the planning of infrastructure design for hydrogen energy systems that incorporate sustainability dimensions. In that regard, the developed model possesses the characteristics of an efficient and practical roadmap that can guide policymakers and decision-makers in transitioning from fossil-based energy sources to renewable energy sources. It has been i
地下储氢可以加速向可再生能源的过渡,促进能源供应安全,以及氢能源这一清洁能源的采用和扩大。选择可持续的地下储氢系统是解决化石燃料使用造成的环境问题的关键研究课题。然而,决策者仍然缺乏一个以共识为基础、以可持续为导向的框架,可以在经济、环境、社会和技术不确定性的情况下对可供选择的地下储氢地质构造进行比较评估,这是大规模氢部署的关键障碍。随着世界范围内化石燃料储量的逐渐减少,这一问题变得更加突出。相比之下,研究人员和实践人员对哪种地下储氢方式最适合经济、安全、高效的储氢方式缺乏共识。如果这个问题没有得到正确的处理和合理的解决办法,对化石燃料的持续依赖可能会持续下去。也可以采用其他效率和性能相对较低的可再生能源。在这两种情况下,在实现全球可持续性目标方面可能会出现重大延误。我们提出了一个综合模糊决策框架(F-WENSLO & Dombi-Bonferroni & F-ARTASI)来解决不确定性下的选择问题。所提出的框架集成了模糊WENSLO(包络线和斜率加权),用于稳健的基于可持续性的标准加权,Dombi-Bonferroni聚合算子用于明确地模拟标准之间的相互依赖性,模糊ARTASI(基于自适应标准化区间的备选排序技术)方法提供灵活和稳定的地质备选排序,超越了基于刚性距离的方法。该模型的主要优点包括提供可靠和一致的解决方案,准确反映选择可持续地下储氢系统的现实条件。结果表明,C14(就业创造和就业机会)(0.0603)对选择最合适的仓储系统影响最大。另外,盐穴的Ωi得分最高,为10,5167,位居第一,是最合适、最有利的地下储氢选择。建议的决策工具可以在现实条件下产生可靠和强大的解决方案,使氢能源系统的基础设施设计规划能够纳入可持续性维度。在这方面,开发的模型具有有效和实用的路线图的特点,可以指导政策制定者和决策者从化石能源向可再生能源过渡。它已经被用于评估地下地质构造,可以促进地下氢能的储存,作为一个案例研究。该工具的可靠性和健壮性已通过广泛的验证测试得到验证。
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引用次数: 0
Research on the performance and mode switching strategy of the photovoltaic/thermal-air dual heat source direct expansion heat pump system based on micro heat pipe arrays 基于微热管阵列的光伏/热空气双热源直扩热泵系统性能及模式切换策略研究
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.enconman.2026.121125
Ze Bai , Yaohua Zhao , Zhenhua Quan , Yiyang Liu , Wanli Chang
Conventional flat-plate photovoltaic/thermal (PVT) modules suffer from low solar energy utilization efficiency and unstable heat supply when used as heat pump evaporators. Additionally, their heat dissipation capabilities are limited when used as condensers. To address these limitations, this study proposes a novel micro heat pipe array-integrated PVT–air evaporator/condenser (MHPA-PVTAE/C), coupled with a dual-source direct expansion heat pump. Seasonal experiments were conducted to characterize its trigeneration performance, and an adaptive heating-mode switching strategy was developed using the coefficient of performance for heating (COP(H)) as the optimization objective based on solar irradiance and ambient temperature. The system achieved a COP(H) of 6.2 (summer) and 4.9 (winter), power generation efficiency of up to 14%, and a COP(C) of 2.7. Throughout continuous multi-day tests, the compressor exhaust temperature remained below 90 °C, and the suction/exhaust pressure variation rates were both below 5%, demonstrating reliable and stable operation when the MHPA-PVTAE/C functioned as the evaporator or condenser. Compared with existing systems, the novel system enhanced the COP(H) by 13.1–68.1% (summer) and 15.3–75.2% (winter), and increased the COP(C) by 5.2–42.4%, providing a validated technical route for building-scale trigeneration system.
传统平板光伏/热(PVT)组件作为热泵蒸发器使用时,存在太阳能利用效率低、供热不稳定等问题。此外,当用作冷凝器时,它们的散热能力受到限制。为了解决这些限制,本研究提出了一种新型微型热管阵列集成pvt -空气蒸发器/冷凝器(MHPA-PVTAE/C),再加上双源直接膨胀热泵。通过季节性实验对其三联产性能进行表征,并基于太阳辐照度和环境温度,以供热性能系数(COP(H))为优化目标,提出了一种自适应供热模式切换策略。该系统夏季COP(H)为6.2,冬季COP(H)为4.9,发电效率高达14%,COP(C)为2.7。在连续多天的试验中,压缩机排气温度保持在90℃以下,吸排气压力变化率均低于5%,表明MHPA-PVTAE/C作为蒸发器或冷凝器时运行可靠稳定。与现有系统相比,该系统夏季COP(H)和冬季COP(C)分别提高13.1 ~ 68.1%和15.3 ~ 75.2%,COP(C)分别提高5.2 ~ 42.4%,为建筑规模三联供系统提供了一条行之有效的技术路线。
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引用次数: 0
Semi-supervised anomaly detection in photovoltaic systems under power tracking mode 电力跟踪模式下光伏系统的半监督异常检测
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.enconman.2026.121114
Fouzi Harrou , Abdelkader Dairi , Abdelhakim Dorbane , Bilal Taghezouit , Ying Sun
Fault detection in grid-connected photovoltaic (GCPV) systems is critical for ensuring operational safety and efficiency, yet the availability of labeled fault data in real-world deployments is limited. Reliable anomaly detection in GCPV systems is vital for ensuring operational safety, minimizing energy losses, and maintaining efficiency. This study presents a systematic, mode-aware benchmarking of semi-supervised anomaly detection methods for GCPV monitoring under realistic operating conditions. This study evaluates four semi-supervised techniques, Isolation Forest (iForest), Local Outlier Factor (LOF), One-Class SVM (1SVM), and Elliptic Envelope (EE), for fault detection in GCPV systems operating under Intermediate and Maximum Power Point Tracking (IPPT/MPPT) modes. Using the GPVS-Faults dataset, which contains simulated fault scenarios generated from a grid-connected PV system emulator, all models are trained exclusively on fault-free data, following a strictly semi-supervised paradigm, and evaluated across multiple metrics, including accuracy, F1-score, AUC, and false positive rate (FPR). Experimental results show that EE achieves the best average accuracy and AUC with the lowest FPR across both operating modes, reaching an average accuracy of 94.68% under MPPT and 93.54% under IPPT. LOF exhibits the highest sensitivity and F1-score, but at the expense of increased false positives, while iForest provides a balanced trade-off between precision and recall. Beyond detection performance, this work emphasizes reproducibility and interpretability in semi-supervised PV fault detection. To enhance transparency, SHapley Additive exPlanations (SHAP) analysis is used as a post-hoc interpretability layer based on an auxiliary XGBoost model, revealing fault-specific feature contributions aligned with physical system behavior. Overall, the results demonstrate complementary strengths among the evaluated methods and highlight the effectiveness of EE for low-false-alarm fault detection, alongside the value of lightweight, explainable, and mode-aware semi-supervised frameworks in supporting GCPV monitoring.
并网光伏(GCPV)系统的故障检测对于确保运行安全和效率至关重要,但实际部署中标记故障数据的可用性有限。在GCPV系统中,可靠的异常检测对于确保运行安全、最大限度地减少能量损失和保持效率至关重要。本研究提出了一种系统的、模式感知的半监督异常检测方法的基准测试,用于GCPV在实际运行条件下的监测。本研究评估了隔离森林(ifforest)、局部离群因子(LOF)、一类支持向量机(1SVM)和椭圆包络(EE)四种半监督技术在GCPV系统中故障检测中的应用,这些技术在中间和最大功率点跟踪(IPPT/MPPT)模式下运行。使用GPVS-Faults数据集(包含由并网光伏系统模拟器生成的模拟故障场景),所有模型都只在无故障数据上进行训练,遵循严格的半监督范式,并通过多个指标进行评估,包括准确性、f1分数、AUC和假阳性率(FPR)。实验结果表明,在两种工作模式下,EE的平均准确率和AUC均达到最佳,FPR最低,在MPPT下平均准确率为94.68%,在IPPT下平均准确率为93.54%。LOF表现出最高的灵敏度和f1得分,但代价是假阳性增加,而ifforest在精度和召回率之间提供了平衡的权衡。除了检测性能,这项工作还强调了半监督式光伏故障检测的再现性和可解释性。为了提高透明度,SHapley加性解释(SHAP)分析被用作基于辅助XGBoost模型的事后可解释性层,揭示与物理系统行为一致的故障特定特征贡献。总体而言,结果显示了评估方法之间的互补优势,并突出了EE在低误报故障检测方面的有效性,以及轻量级、可解释和模式感知的半监督框架在支持GCPV监测方面的价值。
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引用次数: 0
Integrating weather extremes and desalination flexibility to design a resilient concentrated solar power–photovoltaic–wind system with battery and thermal storage using TRNSYS 结合极端天气和海水淡化的灵活性,使用TRNSYS设计一个具有电池和储热能力的弹性集中太阳能-光伏-风能系统
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-23 DOI: 10.1016/j.enconman.2026.121064
Farah Souayfane , Ricardo M. Lima , Asaad Katoua , Omar Knio
Integrating large-scale renewable energy and storage systems is essential for sustainability in hot desert regions. However, resource variability and extreme weather pose operational and economic challenges, emphasizing the need for resilient systems. This study develops a TRNSYS simulation-based multi-objective optimization framework to design a resilient renewable energy system for a community in Saudi Arabia. Its novelty lies in the iterative incorporation of extreme weather derived from 25 years of historical weather data and the leveraging of sector coupling through the operational flexibility of a desalination plant. The optimization identifies optimal capacities for a system combining concentrated solar power, photovoltaic, and wind turbines, coupled with battery and thermal storage. The most economical off-grid configuration yields a life cycle cost of $1.46 billion and a levelized cost of energy of 0.1687 $/kWh with concentrated solar power supplying 96% of the energy (peak load of 86 MW and annual energy consumption of 505 GWh), which avoids 330,900 tonnes of CO2 emissions per year. This off-grid system, designed to withstand past extreme low solar radiation and high temperature days, requires additional generation and storage capacity, which increases the cost by 19%. Leveraging the desalination plant’s operational flexibility reduces the system’s cost by 2.7% while further enhancing system resilience. The framework provides a practical and adaptable method for designing resilient renewable energy systems in response to variable extreme weather conditions, highlighting the cost of resilience and demonstrating that power coupling with desalination can help mitigate the cost of achieving resilience.
整合大规模可再生能源和存储系统对于炎热沙漠地区的可持续性至关重要。然而,资源变化和极端天气带来了运营和经济挑战,强调了对弹性系统的需求。本研究开发了一个基于TRNSYS仿真的多目标优化框架,为沙特阿拉伯的一个社区设计了一个有弹性的可再生能源系统。它的新颖之处在于从25年的历史天气数据中反复合并极端天气,并通过海水淡化厂的操作灵活性利用部门耦合。优化确定了一个系统的最佳容量,该系统结合了聚光太阳能发电、光伏发电和风力涡轮机,以及电池和储热装置。最经济的离网配置产生的生命周期成本为14.6亿美元,平均能源成本为0.1687美元/千瓦时,集中太阳能提供96%的能源(峰值负荷为86兆瓦,年能耗为505吉瓦时),每年可避免330,900吨二氧化碳排放。这种离网系统的设计初衷是承受过去极低的太阳辐射和高温天气,但需要额外的发电和存储能力,这将使成本增加19%。利用海水淡化厂的操作灵活性,在进一步增强系统弹性的同时,降低了系统成本2.7%。该框架为设计弹性可再生能源系统以应对多变的极端天气条件提供了一种实用且适应性强的方法,突出了弹性的成本,并证明了与海水淡化的电力耦合可以帮助减轻实现弹性的成本。
{"title":"Integrating weather extremes and desalination flexibility to design a resilient concentrated solar power–photovoltaic–wind system with battery and thermal storage using TRNSYS","authors":"Farah Souayfane ,&nbsp;Ricardo M. Lima ,&nbsp;Asaad Katoua ,&nbsp;Omar Knio","doi":"10.1016/j.enconman.2026.121064","DOIUrl":"10.1016/j.enconman.2026.121064","url":null,"abstract":"<div><div>Integrating large-scale renewable energy and storage systems is essential for sustainability in hot desert regions. However, resource variability and extreme weather pose operational and economic challenges, emphasizing the need for resilient systems. This study develops a TRNSYS simulation-based multi-objective optimization framework to design a resilient renewable energy system for a community in Saudi Arabia. Its novelty lies in the iterative incorporation of extreme weather derived from 25 years of historical weather data and the leveraging of sector coupling through the operational flexibility of a desalination plant. The optimization identifies optimal capacities for a system combining concentrated solar power, photovoltaic, and wind turbines, coupled with battery and thermal storage. The most economical off-grid configuration yields a life cycle cost of $1.46 billion and a levelized cost of energy of 0.1687 $/kWh with concentrated solar power supplying 96% of the energy (peak load of 86 MW and annual energy consumption of 505 GWh), which avoids 330,900 tonnes of <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions per year. This off-grid system, designed to withstand past extreme low solar radiation and high temperature days, requires additional generation and storage capacity, which increases the cost by 19%. Leveraging the desalination plant’s operational flexibility reduces the system’s cost by 2.7% while further enhancing system resilience. The framework provides a practical and adaptable method for designing resilient renewable energy systems in response to variable extreme weather conditions, highlighting the cost of resilience and demonstrating that power coupling with desalination can help mitigate the cost of achieving resilience.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"351 ","pages":"Article 121064"},"PeriodicalIF":10.9,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cascade-pumped micro-hydro storage systems: A new design framework for efficient energy generation and storage in challenging topographies 级联泵微型水力存储系统:在具有挑战性的地形中高效能源生成和存储的新设计框架
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-23 DOI: 10.1016/j.enconman.2026.121105
Oraib Dawaghreh, Sharaf K. Magableh, Caisheng Wang
Hydropower opportunities in many lake-rich regions remain largely unexploited. This is because long horizontal distances and modest elevation differences prohibit the feasibility of traditional pumped storage systems. The need for terrain-adaptive long-duration storage motivates the exploration of multi-stage, cascade-based designs capable of bridging these spatial constraints. This study investigates whether introducing intermediate reservoirs can transform geographically constrained lake systems into practical pumped hydro storage sites. An integrated modeling framework, including hydropower, solar, and wind simulation, geospatial analysis, and multi-objective evolutionary optimization, is applied using real meteorological and electrical load data from Mountain Lake, Michigan to determine optimal reservoir locations, storage capacities, and renewable generation sizing. Three cases were evaluated to assess the impact of different cascade configurations. Among them, the configuration with one intermediate reservoir achieves approximately 99.97 percent reliability with a levelized cost of energy between 0.133 and 0.165 USD per kilowatt-hour, while the two-reservoir arrangement demonstrates even lower cost and higher reliability. These findings demonstrate that a cascade configuration can significantly improve hydraulic performance and economic feasibility in low-slope terrains. The study concludes that multi-stage micro-pumped hydro architectures offer a geographically adaptable pathway for long-duration energy storage and can be deployed in regions where conventional two-reservoir systems are not viable.
在许多湖泊丰富的地区,水力发电机会基本上尚未开发。这是因为较长的水平距离和适度的海拔差异限制了传统抽水蓄能系统的可行性。对适应地形的长时间存储的需求激发了对多级、基于级联的设计的探索,这些设计能够跨越这些空间限制。本研究探讨引入中间水库是否能将地理上受限制的湖泊系统转变为实际的抽水蓄能场所。一个集成的建模框架,包括水电、太阳能和风能模拟、地理空间分析和多目标进化优化,应用于密歇根州山湖的真实气象和电力负荷数据,以确定最佳的水库位置、存储容量和可再生能源发电规模。对三个案例进行了评估,以评估不同梯级配置的影响。其中,一个中间储层配置的可靠性约为99.97%,能源平准化成本在0.133 ~ 0.165美元/千瓦时之间,而两个储层配置的成本更低,可靠性更高。这些结果表明,梯级结构可以显著提高低坡度地形的水力性能和经济可行性。该研究的结论是,多级微抽水蓄能结构为长期储能提供了一种地理适应性强的途径,可以部署在传统双水库系统不可行的地区。
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引用次数: 0
Dynamic modelling and characteristics analysis of a novel in situ tar-rich coal pyrolysis mining system driven by solar energy 新型太阳能驱动富焦油煤原位热解开采系统动力学建模及特性分析
IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-23 DOI: 10.1016/j.enconman.2026.121101
Mei Wang , Guoming Wen , Lang Liu , Shuangming Wang
As a strategic alternative to conventional oil and gas resources, tar-rich coal, coupled with its low-carbon in-situ extraction technologies, is rapidly emerging as a pivotal focus for sustainable energy development. This study presents an innovative tower type solar in-situ pyrolysis system for tar-rich coal (TS-IPS/TRC) to significantly reduce energy consumption in tar-rich coal extraction. A transient multiphysics model, integrating solar thermal conversion, nitrogen mediated heat transfer, and pyrolysis reaction kinetics, was constructed to investigate the influence of two critical operating parameters, nitrogen temperature and flow rate, on the dynamic behavior of the system. The results demonstrate that the heating rate during the initial pyrolysis stage is more responsive to variations in flow rate. Spatially, increasing the flow rate significantly enhance the heating effect near the injection well, while the effect gradually diminish in the regions farther away from the injection well. In accordance with system operational requirements, the optimal pyrolysis temperature was ascertained to be 983.15 K under a 24–hour cyclic operation strategy. In light of the temporal variations in solar energy, three operational approaches were subjected to rigorous evaluation. The results reveal that intermittent operation coupled with an elevated inlet temperature and a reduced flow rate of the heat transfer medium significantly enhances techno–economic performance. The intermittent heating mode effectively improves temperature uniformity within the pyrolysis zone. A 12–hour cyclic operation strategy is recommended. Increasing the inlet temperature from 933.15 K to 1033.15 K and decreasing the inlet flow velocity from 5 m/s to 2 m/s substantially increases the gas production rate by 61 %. The TS-IPS/TRC system can reduce power consumption by 61 % and decrease carbon emissions by 2.52 × 108 kg under the pyrolysis condition of 80 % of tar-rich coal. The proposed system demonstrates great potential in terms of energy conservation and emission reduction by pioneering a novel method for sustainable extraction of tar-rich coal in a low-carbon way.
作为常规油气资源的战略替代品,富焦油煤及其低碳就地开采技术正迅速成为可持续能源发展的关键焦点。本文提出了一种创新的塔式富焦油煤太阳能原位热解系统(TS-IPS/TRC),以显著降低富焦油煤开采过程中的能耗。建立了集太阳能热转换、氮气传热和热解反应动力学于一体的瞬态多物理场模型,研究了氮气温度和流量这两个关键操作参数对系统动力学行为的影响。结果表明,热解初始阶段的升温速率对流量变化的响应更大。在空间上,增加流量显著增强了注水井附近的加热效果,而在远离注水井的区域,加热效果逐渐减弱。根据系统运行要求,确定了24小时循环运行策略下的最佳热解温度为983.15 K。鉴于太阳能的时间变化,对三种操作方法进行了严格的评估。结果表明,间歇运行与进口温度升高和传热介质流量降低相结合,显著提高了技术经济性能。间歇式加热方式有效提高了热解区内温度的均匀性。建议采用12小时循环操作策略。将进口温度从933.15 K提高到1033.15 K,将进口流速从5 m/s降低到2 m/s,可显著提高61%的产气量。在富焦油煤含量为80%的热解条件下,TS-IPS/TRC系统能耗降低61%,碳排放量减少2.52 × 108 kg。该系统开创了一种以低碳方式可持续开采富焦油煤的新方法,在节能减排方面具有巨大潜力。
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引用次数: 0
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Energy Conversion and Management
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