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Next-generation LNG regasification: Natural draft ambient air vaporizer with buoyancy-driven convection for enhanced performance and reduced cost/footprint 下一代LNG再气化:采用浮力驱动对流的自然通风环境空气蒸发器,可提高性能并降低成本/占地面积
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-10 DOI: 10.1016/j.energy.2026.140414
Xiaoxiao Li , Qian Zhang , Yi Que , Qibin Li , Chao Liu , Junjie Feng
Liquefied natural gas, a crucial transition fuel, demands efficient and low-carbon regasification. Conventional ambient air vaporizers face critical limitations, including low air-side heat transfer coefficients (<10 W m−2 K−1) and large footprints, due to reliance on natural convection. To overcome these challenges, this study proposes a novel Natural Draft-Integrated Ambient Air Vaporizer (NDAAV). Inspired by natural draft dry cooling towers, the NDAAV reconfigures air-side heat transfer to buoyancy-driven forced convection via a hyperbolic tower structure that harnesses stack effects. Comprehensive 1-D and 3-D modeling validates the concept, demonstrating a 485% enhancement in the air-side convective heat transfer coefficient (55.78 W m−2 K−1) and a 477% increase in the overall heat transfer coefficient under dry design conditions. Sensitivity analysis confirms robust off-design performance during ambient and LNG parameter fluctuations. Furthermore, while frost formation under high humidity can degrade performance by impeding the buoyancy-driven flow, the NDAAV maintains a significant thermal advantage over conventional AAVs across most operating scenarios. Multi-objective optimization identifies an optimal tower aspect ratio of 1.33, enabling simultaneous footprint reduction (64–70%) and capital cost savings (35–38%) across capacities of 100,000–500,000 Nm3 h−1. This combustion-free, water-independent technology demonstrates the conceptual viability of a scalable, low-carbon pathway for distributed LNG regasification.
液化天然气是一种关键的过渡燃料,需要高效、低碳的再气化。由于依赖自然对流,传统的环境空气汽化器面临着严重的局限性,包括低空气侧传热系数(<10 W m−2 K−1)和大占地面积。为了克服这些挑战,本研究提出了一种新型的自然气流集成环境空气蒸发器(NDAAV)。受自然通风干式冷却塔的启发,NDAAV通过利用堆叠效应的双曲塔结构将空气侧传热重新配置为浮力驱动的强制对流。综合1- d和3-D模型验证了这一概念,表明在干燥设计条件下,空气侧对流换热系数(55.78 W m−2 K−1)增加了485%,总换热系数增加了477%。灵敏度分析证实,在环境和LNG参数波动期间,该系统具有稳健的非设计性能。此外,虽然高湿条件下的结霜会阻碍浮力驱动的流动,从而降低性能,但在大多数情况下,NDAAV与传统aav相比仍具有显著的热优势。多目标优化确定了塔的最佳宽高比为1.33,在100,000-500,000 Nm3 h - 1的产能范围内,可以同时减少占地面积(64-70%)和节省资本成本(35-38%)。这种无燃烧、不依赖水的技术证明了分布式液化天然气再气化可扩展、低碳途径的概念可行性。
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引用次数: 0
Investigation on the evolution in physiochemical properties of soot from ammonia/diesel engines along the after-treatment devices in the exhaust process 氨柴油机烟尘沿后处理装置在排气过程中理化性质演变的研究
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-07 DOI: 10.1016/j.energy.2026.140359
Junfeng Huang , Zhongwei Meng , Jianbing Gao , Xiaochen Wang , Yunge Zhao , Mingxu Qi
Exploring the changes of soot emissions from ammonia/diesel engines in the exhaust process is essential for developing specialized emission control strategies. This study investigates the evolution pattern in physiochemical properties of soot from ammonia/diesel engines along the after-treatment devices. The results show that the C-H and C-N functional groups are formed after soot passing through diesel oxidation catalyst (DOC), while the catalytic diesel particulate filter (CDPF) facilitates the decomposition of C-H groups and the conversion of C-N to C=N functional groups. The degree of soot graphitization gradually increases in the exhaust process, with DOC exhibiting the significant effects on the D1 carbon component, while the CDPF mainly acts on the D3 and D4 carbon components. DOC reduces the degree of soot agglomeration, causing a slight shift in the particle size distribution towards small diameter. In contrast, diesel particulate filter (DPF) or CDPF enhances the soot agglomeration. The orderliness of soot nanostructure increases in the exhaust process, and the length of microcrystals shifts towards large microcrystalline size, accompanied by soot edge oxidation affected by CDPF. The DOC and DPF reduce the content of C=O functional groups, while the CDPF promotes the generation of oxygen-containing groups. In addition, the nitrogen-containing groups such as pyridine structure compounds (N-6), pyrrole structure compounds (N-5) and nitrogen oxides (N-Ox) gradually decrease during the exhaust.
研究氨柴油发动机在排气过程中烟尘排放的变化,对于制定专门的排放控制策略至关重要。本文研究了氨/柴油机烟尘沿后处理装置的理化性质演变规律。结果表明,烟灰经过柴油氧化催化剂(DOC)后形成C- h和C-N官能团,而催化柴油微粒过滤器(CDPF)有利于C- h官能团的分解和C-N向C=N官能团的转化。烟尘石墨化程度在排气过程中逐渐增加,其中DOC对D1碳组分的影响显著,而CDPF主要作用于D3和D4碳组分。DOC降低了煤烟的结块程度,使粒径分布略微向小直径方向偏移。而柴油颗粒过滤器(DPF)或柴油颗粒过滤器(CDPF)则会促进油烟的结块。在排气过程中,烟尘纳米结构的有序度增加,微晶长度向大微晶尺寸偏移,并伴有CDPF影响的烟尘边缘氧化。DOC和DPF降低了C=O官能团的含量,而CDPF促进了含氧基团的生成。此外,含氮基团如吡啶结构化合物(N-6)、吡咯结构化合物(N-5)和氮氧化物(N-Ox)在排气过程中逐渐减少。
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引用次数: 0
Humidity-triggered autothermal regulation of lithium-ion batteries via liquid metal-PCM composites for enhanced cold-environment performance 通过液态金属- pcm复合材料对锂离子电池进行湿度触发的自热调节,以增强冷环境性能
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-10 DOI: 10.1016/j.energy.2026.140351
Sihong He , Rukun Liu , Shahid Ali Khan , Kejian Dong , Song Ni , Dongxu Ji , Jiyun Zhao
Low-temperature operation degrades lithium-ion battery (LIB) performance and safety. We report a humidity-responsive composite that combines eutectic gallium-indium-coated aluminum (LM@Al), active carbon, and phase-change microcapsules (PCMs) to enable rapid, controllable preheating and sustained thermal buffering without the need for external electronics. LM@Al releases exothermic heat through Al-water redox while liquid metal forms a catalytic, thermally conductive shell; activated carbon accelerates moisture transport; and PCM absorbs peak heat, prolonging insulation. SEM-EDX confirms core-shell LM@Al particles and LM microdroplet formation during reaction. Systematic tests on 18,650 cells identify an optimal composition (LM:Al:PCM = 10:1:2 with 10% fixed active carbon) and a 3 mm composite thickness, achieving heating rates of up to 4.9 °C/min and a safe peak temperature of 29 °C at an ambient temperature range of −10 to 0 °C. Humidity control strategies tune heat release to match discharge rates, balancing rapid preheating and material consumption. At extreme −20 °C, performance is limited by water freezing. The continuous 90% RH supply approach converts pulsed humidity-triggered heat into uniform, mild thermal output, improving low-temperature discharge capacity and mitigating capacity fade, offering a promising passive BTMS solution for cold-climate battery applications. Future work should address challenges related to scale-up, long-term cycling, and integration.
低温运行会降低锂离子电池(LIB)的性能和安全性。我们报告了一种湿度响应复合材料,该复合材料结合了共晶镓铟涂层铝(LM@Al)、活性炭和相变微胶囊(PCMs),可以实现快速、可控的预热和持续的热缓冲,而无需外部电子设备。LM@Al通过铝水氧化还原释放放热,而液态金属形成催化导热壳;活性炭加速水分输送;PCM吸收峰值热量,延长绝缘时间。SEM-EDX证实了反应过程中核壳LM@Al颗粒和LM微滴的形成。对18,650个电池进行系统测试,确定了最佳组成(LM:Al:PCM = 10:1:2, 10%固定活性炭)和3 mm复合厚度,在环境温度范围为- 10至0°C的情况下,加热速率高达4.9°C/min,安全峰值温度为29°C。湿度控制策略调整热量释放以匹配排放速率,平衡快速预热和材料消耗。在极端- 20°C时,性能受到水冻结的限制。连续90% RH供电方式将脉冲湿度触发的热量转化为均匀、温和的热输出,提高了低温放电能力,减轻了容量衰减,为寒冷气候电池应用提供了一种有前途的被动BTMS解决方案。未来的工作应解决与规模扩大、长期循环和整合相关的挑战。
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引用次数: 0
Optimization of liquid droplet injection in steam turbine blades: Loss reduction, droplet size control, and performance enhancement 汽轮机叶片液滴喷射优化:减少损失,控制液滴尺寸,提高性能
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-10 DOI: 10.1016/j.energy.2026.140384
Shoubing Zhang, Zunlong Jin, Guojie Zhang
In steam turbines, particularly in the low-pressure section, liquid droplet injection (LDI) is recognized as an advanced technique for regulating condensation. Instead of allowing large droplets to form, this method encourages condensation on the injected droplets, leading to finer and more uniform droplet formation. The purpose of this research is to minimize the occurrence of sudden, large droplets by promoting smaller, evenly distributed ones. To achieve this, the study investigates the droplet injection technique in detail and employs the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to find the best injection strategy. The evaluation is based on several criteria, including mass flow rate, different entropy contributions (thermal, frictional, and phase change), total pressure loss coefficient (TPLC), droplet radius, liquid mass fraction (LMF), and kinetic energy. Results demonstrate that droplet injection has a strong influence on droplet radius, pressure losses, and phase change entropy. While the technique successfully decreases droplet size in certain cases, it consistently increases the liquid phase production across all tested scenarios. Injecting 1018 1/kg droplets with a mass fraction of 0.1% results in significant changes in various parameters: the average droplet radius at the output drops by 44.1%, phase change entropy falls by 76.1%, and the TPLC is reduced by 29.15%. Thermal entropy production and mass flow rate decrease by 10.96% and 2.8%, respectively, while the LMF at the outlet rises by 9.61%. Kinetic energy and frictional entropy production experience increases of 2.38% and 5.96%, respectively.
液滴喷射(LDI)是汽轮机特别是低压机组中公认的一种先进的冷凝调节技术。这种方法不允许形成大的液滴,而是鼓励注入的液滴凝结,从而形成更细、更均匀的液滴。本研究的目的是通过促进较小的、均匀分布的液滴来最大限度地减少突然出现的大液滴。为了实现这一目标,本研究对液滴注射技术进行了详细的研究,并采用TOPSIS (technical for Order of Preference by Similarity To Ideal Solution)方法来寻找最佳注射策略。评估基于几个标准,包括质量流量、不同熵贡献(热、摩擦和相变)、总压损失系数(TPLC)、液滴半径、液体质量分数(LMF)和动能。结果表明,液滴注入对液滴半径、压力损失和相变熵有较大影响。虽然该技术在某些情况下成功地减小了液滴尺寸,但在所有测试情况下,它都能持续增加液相产量。注入质量分数为0.1%的1018 1/kg液滴后,各参数变化显著:输出处平均液滴半径减小44.1%,相变熵减小76.1%,TPLC减小29.15%。热熵产和质量流量分别下降10.96%和2.8%,出口LMF上升9.61%。产生动能和摩擦熵分别增加2.38%和5.96%。
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引用次数: 0
Compression scheme comparison for a carbon dioxide energy storage system 某二氧化碳储能系统压缩方案比较
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-09 DOI: 10.1016/j.energy.2026.140298
Xintao Fu , Yuwei Jiao , Zhan Liu
The gas-liquid type compressed carbon dioxide energy storage is an emerging potential energy storage technology to stable the renewable power output. The trying improvements that this paper is focused on are effective realization of the gas-liquid conversion of the high pressure CO2 without utilizing extra cold sources and efficient allocating the pressure ratio in the compression/expansion lines. Two self-condensing systems with qual pressure ratio and equal outlet temperature arrangements are proposed and evaluated. Numerical simulations to the considered systems are conducted on an in-house code that is compiled with the established energy, exergy and economic mathematical models. Results indicate that the equal outlet temperature system is more suggested due to its lower levelized cost of storage at the optimized operating conditions, being 0.11329 $/kWh when the high-pressure cooler cold-side temperature difference is 11 °C, liquid CO2 temperature is 16 °C and throttling pressure is 7.8 MPa. In the component level, the gas holder and liquid CO2 tank constitute the highest portion to the overall system purchase cost. The compressors, turbines, evaporator and condenser account for the largest share of thermodynamic inefficiencies in sequence. The pinch temperature difference of the condenser and evaporator should not be higher than 8 °C.
气液型压缩二氧化碳储能是一种新兴的有潜力的稳定可再生能源输出的储能技术。本文的改进重点是在不使用额外冷源的情况下有效地实现高压CO2的气液转化和有效地分配压缩/膨胀管线的压力比。提出并评价了两种等压比、等出口温度布置的自凝系统。对所考虑的系统进行数值模拟是在一个内部代码上进行的,该代码是用已建立的能源、能源和经济数学模型编译的。结果表明,在优化工况下,当高压冷却器冷侧温差为11℃、液态CO2温度为16℃、节流压力为7.8 MPa时,等温系统的平准化储能成本为0.11329美元/kWh,因此更适合采用等温系统。在部件层面,气柜和液态CO2罐构成了整个系统采购成本的最高部分。压缩机、涡轮机、蒸发器和冷凝器依次占热力学效率低下的最大份额。冷凝器与蒸发器夹点温差不应高于8℃。
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引用次数: 0
Explainable and physics-constrained PV power prediction via a hybrid framework Integrating secondary decomposition and improved Transformer-LSTM 基于二次分解和改进变压器- lstm的混合框架的可解释和物理约束光伏功率预测
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-03 DOI: 10.1016/j.energy.2026.140314
Jiahao Zou, Zhaocai Wang, Zhaoyang Zhu, Zuowen Tan
Photovoltaic power generation (PVPG) is susceptible to meteorological conditions, exhibiting significant randomness and volatility. Therefore, accurate and reliable PVPG prediction is crucial for enhancing grid stability. However, existing data-driven prediction methods often overlook the system's inherent physical mechanism, which can lead to prediction results that violate actual operating laws. This study presents a physics-constrained hybrid model, integrating Transformer and Long Short-Term Memory (LSTM) networks with a secondary decomposition strategy, for the multi-step short-term forecasting of PVPG. Initially, a Seasonal and Trend Decomposition using Loess (STL) method is utilized to decompose the original dataset. Subsequently, variational mode decomposition (VMD), optimized by an improved Dream Optimization Algorithm (DOA), is utilized to decompose the residual term. Subsequently, the decomposed components and the screened features are fed into a hybrid Transformer-LSTM model, with its hyperparameter optimized by an improved Dream Optimization Algorithm, to complete the final power prediction. To ensure the predictions adhere to the physical principles of photovoltaic power generation, the model utilizes a designed physics-constrained loss function specifically. On the Australian dataset, the proposed model is evaluated and is observed to achieve better performance than other methods in both prediction accuracy and robustness. Specifically, on Site 1, the R-squared and RMSE for the overall prediction performance are 0.9423 and 0.2326, respectively, demonstrating superior prediction performance. Moreover, it also exhibits superior prediction capability across different datasets, seasons, and weather conditions. Finally, explainability analysis was conducted using SHAP method. This multi-step short-term PVPG prediction method has the potential to enhance grid stability and the stable regulation of energy.
光伏发电易受气象条件的影响,表现出显著的随机性和波动性。因此,准确可靠的PVPG预测对提高电网稳定性至关重要。然而,现有的数据驱动预测方法往往忽略了系统固有的物理机制,导致预测结果与实际运行规律不符。本文提出了一个物理约束的混合模型,将变压器和长短期记忆(LSTM)网络与二次分解策略相结合,用于PVPG的多步短期预测。首先,采用黄土季节和趋势分解(STL)方法对原始数据集进行分解。然后,利用改进的Dream优化算法(DOA)优化的变分模态分解(VMD)对残差项进行分解。然后,将分解后的组件和筛选后的特征输入到混合变压器- lstm模型中,并通过改进的Dream优化算法对其超参数进行优化,完成最终的功率预测。为了保证预测符合光伏发电的物理原理,该模型特别使用了设计的物理约束损失函数。在澳大利亚数据集上,对所提出的模型进行了评估,并观察到该模型在预测精度和鲁棒性方面都优于其他方法。其中Site 1的整体预测性能的r平方和RMSE分别为0.9423和0.2326,显示出较好的预测性能。此外,它还显示出跨不同数据集、季节和天气条件的优越预测能力。最后,采用SHAP方法进行可解释性分析。这种多步短期PVPG预测方法具有增强电网稳定性和能源稳定调控的潜力。
{"title":"Explainable and physics-constrained PV power prediction via a hybrid framework Integrating secondary decomposition and improved Transformer-LSTM","authors":"Jiahao Zou,&nbsp;Zhaocai Wang,&nbsp;Zhaoyang Zhu,&nbsp;Zuowen Tan","doi":"10.1016/j.energy.2026.140314","DOIUrl":"10.1016/j.energy.2026.140314","url":null,"abstract":"<div><div>Photovoltaic power generation (PVPG) is susceptible to meteorological conditions, exhibiting significant randomness and volatility. Therefore, accurate and reliable PVPG prediction is crucial for enhancing grid stability. However, existing data-driven prediction methods often overlook the system's inherent physical mechanism, which can lead to prediction results that violate actual operating laws. This study presents a physics-constrained hybrid model, integrating Transformer and Long Short-Term Memory (LSTM) networks with a secondary decomposition strategy, for the multi-step short-term forecasting of PVPG. Initially, a Seasonal and Trend Decomposition using Loess (STL) method is utilized to decompose the original dataset. Subsequently, variational mode decomposition (VMD), optimized by an improved Dream Optimization Algorithm (DOA), is utilized to decompose the residual term. Subsequently, the decomposed components and the screened features are fed into a hybrid Transformer-LSTM model, with its hyperparameter optimized by an improved Dream Optimization Algorithm, to complete the final power prediction. To ensure the predictions adhere to the physical principles of photovoltaic power generation, the model utilizes a designed physics-constrained loss function specifically. On the Australian dataset, the proposed model is evaluated and is observed to achieve better performance than other methods in both prediction accuracy and robustness. Specifically, on Site 1, the R-squared and RMSE for the overall prediction performance are 0.9423 and 0.2326, respectively, demonstrating superior prediction performance. Moreover, it also exhibits superior prediction capability across different datasets, seasons, and weather conditions. Finally, explainability analysis was conducted using SHAP method. This multi-step short-term PVPG prediction method has the potential to enhance grid stability and the stable regulation of energy.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140314"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187721","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
Pilot-scale investigation and simulation-based optimization of MDEA/PZ for post-combustion CO2 capture MDEA/PZ燃烧后CO2捕集的中试研究与仿真优化
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-07 DOI: 10.1016/j.energy.2026.140387
Haoqin Zhuang , Yindi Zhang , Shadrack Adjei Takyi , Jianrong Lv , Zhenhua Lei , Yue Xin , Paitoon Tontiwachwuthikuld
N-methyldiethanolamine (MDEA) is extensively applied in CO2 capture processes owing to its low energy consumption and high capacity, with its absorption performance significantly enhanced when blended with piperazine (PZ). To lower the energy consumption of post-combustion capture processes (PCC), this study integrates pilot-scale experiments with process simulation to investigate energy-saving optimizations. Using an aqueous solution of piperazine-activated MDEA (35% MDEA, 3.5% PZ, and 61.5% H2O by mass) as the absorbent, investigating the CO2 removal efficiency and regeneration energy consumption under different L/G ratios on a pilot-scale plant. Based on this, a process model was established using HYSYS software, and an improved decarbonization process, termed “semi-lean solution reflux + lean solution waste heat utilization + mechanical vapor recompression (SLR + WHU + MVR)," was proposed. Response Surface Methodology (RSM) was utilized to investigate the influence of semi-lean solution flow rate, lean solution flow rate, semi-lean solution split ratio, and vapor pressure on the regeneration energy consumption of the modified process. RSM optimization yielded optimal parameters: semi-lean solution flow rate of 0.0012 m3/h, lean solution flow rate of 0.004 m3/h, semi-lean solution reflux ratio of 0.13, and vapor pressure of 728.117 kPa. The regeneration energy consumption of the improved process under these parameters was 5.545 MJ/kg, which is a 10.3% reduction compared to the base model.
n -甲基二乙醇胺(MDEA)因其能耗低、容量大而广泛应用于CO2捕集工艺中,与哌嗪(PZ)混合后,其吸收性能显著增强。为了降低燃烧后捕获过程(PCC)的能耗,本研究将中试实验与过程模拟相结合,研究节能优化。以哌嗪活化的MDEA水溶液(MDEA为35%,PZ为3.5%,H2O质量比为61.5%)为吸附剂,在中试装置上考察了不同L/G比下的CO2脱除效率和再生能耗。在此基础上,利用HYSYS软件建立了工艺模型,提出了“半贫液回流+贫液余热利用+机械蒸汽再压缩(SLR + WHU + MVR)”的改进脱碳工艺。利用响应面法(RSM)研究了半贫液流量、半贫液流量、半贫液分流比和蒸汽压对改进工艺再生能耗的影响。RSM优化得到的最佳参数为:半贫液流量0.0012 m3/h,贫液流量0.004 m3/h,半贫液回流比0.13,蒸汽压728.117 kPa。在这些参数下,改进工艺的再生能耗为5.545 MJ/kg,比基本模型降低了10.3%。
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引用次数: 0
Experimental and simulation analysis of the optical, electrical, and daylighting performance of the asymmetric concentrating photovoltaic/daylighting system 非对称聚光光伏/采光系统光学、电学和采光性能的实验与仿真分析
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-05 DOI: 10.1016/j.energy.2026.140263
Qingdong Xuan , Ziyi Chen , Bin Jiang , Bin Zhao , Guiqiang Li , Gang Pei
With the rapid growth of the construction industry, energy consumption and environmental pollution have become critical challenges. Reducing building energy use and advancing renewable energy adoption are key solutions to these problems. To address this issue, a novel asymmetric lens-walled concentrating photovoltaic/daylighting control (LACPC-PV/D) system is proposed in this study, designed for south-facing building walls. The LACPC-PV/D system is mainly derived from the truncation of its core component, i.e., the asymmetric lens-walled compound parabolic concentrator (LACPC) with a truncation length of 20.2 mm, achieving a final geometric concentration ratio of 2.22 × . This system optimizes daylighting performance while maintaining high optical efficiency and electrical output. Ray-tracing simulations and indoor experiments were conducted to investigate the optical, electrical, and daylighting performance of the LACPC-PV/D system. Prototypes of the LACPC-PV/D module (with daylighting) and a reference LACPC-PV module (without daylighting) were fabricated and tested under standard conditions using a solar simulator. Results showed that the LACPC-PV/D module enhanced the short-circuit current, open-circuit voltage, and maximum power by 1.59 × , 4.7%, and 1.78 × , respectively, while the reference LACPC-PV module achieved improvements of 1.66 × , 3.8%, and 1.82 × , respectively. These findings indicate minimal impact on optical concentration performance while achieving a daylighting efficiency of 10% within incidence angles of 0–60°. Additionally, the daylighting performance of the LACPC-PV/D system was compared with conventional semi-transparent PV windows. Ray-tracing simulations demonstrated that, within incidence angles of 15°–85°, the LACPC-PV/D system delivered superior daylighting uniformity, reducing the average coefficient of variation (CV) for illuminance distribution from 4.06 to 2.02. To further evaluate economic performance, the Levelized Cost of Electricity (LCOE) and Simple Payback Period (SPB) were compared between the conventional flat PV system and the LACPC-PV/D system. The LACPC-PV/D system achieves an LCOE of 0.04342 USD/kWh and an SPB of 5.3511 years, compared to 0.04376 USD/kWh and 5.3928 years for the conventional system. Furthermore, its module cost per watt-peak (Wp) is approximately 9.33% lower, demonstrating a comprehensive economic benefit.
随着建筑业的快速发展,能源消耗和环境污染已成为严峻的挑战。减少建筑能源使用和推进可再生能源的采用是解决这些问题的关键。为了解决这个问题,本研究提出了一种新的非对称透镜壁聚光光伏/采光控制系统(LACPC-PV/D),设计用于朝南的建筑墙壁。LACPC- pv /D系统主要来源于其核心组件的截断,即截断长度为20.2 mm的非对称透镜壁复合抛物聚光器(LACPC),最终的几何浓缩比为2.22 ×。该系统优化了采光性能,同时保持了高光效和电输出。通过光线追踪模拟和室内实验研究了LACPC-PV/D系统的光学、电学和采光性能。制作了LACPC-PV/D模块(带采光)和参考LACPC-PV模块(不带采光)的原型,并使用太阳能模拟器在标准条件下进行了测试。结果表明,LACPC-PV/D模块的短路电流、开路电压和最大功率分别提高了1.59倍、4.7%和1.78倍,而参考LACPC-PV模块的短路电流、开路电压和最大功率分别提高了1.66倍、3.8%和1.82倍。这些发现表明,在0-60°入射角范围内实现10%的采光效率时,对光学集中性能的影响最小。此外,还将LACPC-PV/D系统的采光性能与传统的半透明PV窗进行了比较。光线追踪模拟表明,在15°-85°入射角范围内,LACPC-PV/D系统具有优异的采光均匀性,将照度分布的平均变异系数(CV)从4.06降低到2.02。为了进一步评估经济性能,比较了传统平板光伏系统和LACPC-PV/D系统的平准化电力成本(LCOE)和简单投资回收期(SPB)。传统系统的LCOE为0.04376美元/千瓦时,SPB为5.3928年,而LACPC-PV/D系统的LCOE为0.04342美元/千瓦时,SPB为5.3511年。每瓦峰组件成本(Wp)降低约9.33%,具有较好的综合经济效益。
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引用次数: 0
Industrial hydrogen demand response for adaptive robust operation of electric hydrogen integrated energy systems 电力氢集成能源系统自适应稳健运行的工业氢需求响应
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-08 DOI: 10.1016/j.energy.2026.140353
Peng Ren , Yingchao Dong , Hongli Zhang , Cong Wang , Jing Wang , Xiaochao Fan
The electric hydrogen integrated energy system (EHIES) enables coordinated multi-energy management and offers significant decarbonization benefits, making it a promising energy management paradigm for sectors including manufacturing and transportation. This study examines the operational characteristics of EHIES and proposes a two-layer optimization framework tailored to the hydrogen consumption process requirements of industrial applications. An industrial demand response (DR) model is formulated through an analysis of the temporal coupling among heterogeneous energy-consuming equipment across workshops within the hydrogen industry value chain. Based on industrial hydrogen utilization processes, corresponding DR rules are then defined. To address the forecast errors in wind and solar power output during the day-ahead operation phase of the EHIES, a robust optimization (RO) approach is adopted to construct an uncertainty optimization model. To mitigate the conservativeness of the conventional RO, a new adaptive RO (NARO) method is introduced, enabling decision-makers to balance conservatism and risk more effectively. Additionally, an intra-day rolling operation model is established to validate the effectiveness of the day-ahead scheduling decisions. Case study simulations verify the economic efficiency, low-carbon performance, and operational effectiveness of the proposed industrial DR model and NARO method.
电氢集成能源系统(EHIES)实现了协调的多能源管理,并提供了显著的脱碳效益,使其成为制造业和运输业等行业的一种有前途的能源管理范例。本研究考察了EHIES的运行特点,并根据工业应用的耗氢过程要求提出了一个双层优化框架。通过对氢产业价值链中各车间异构能耗设备的时间耦合分析,建立了工业需求响应(DR)模型。根据工业氢气利用流程,定义相应的DR规则。为了解决EHIES日前运行阶段风电和太阳能发电量预测的误差,采用鲁棒优化(RO)方法构建了不确定性优化模型。为了减轻传统RO的保守性,提出了一种新的自适应RO方法,使决策者能够更有效地平衡保守性和风险。此外,还建立了日内滚动运行模型,验证了日前调度决策的有效性。案例研究仿真验证了所提出的工业DR模型和NARO方法的经济效率、低碳性能和运营有效性。
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引用次数: 0
Techno-economic-environmental analysis of a PVT-based solar combined cooling, heating, and power system 基于pvt的太阳能冷、热、电联合系统的技术、经济、环境分析
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-03-15 Epub Date: 2026-02-03 DOI: 10.1016/j.energy.2026.140313
Jeremias E. Castro , Andreas V. Olympios , Asmaa A. Harraz , Bryce S. Richards , Jingyuan Xu
The growing adoption of solar energy in the residential sector plays a pivotal role in advancing sustainable energy practices, reducing carbon dioxide emissions, and enhancing energy independence. This study examines a solar combined cooling, heating, and power (S-CCHP) system incorporating photovoltaic–thermal (PVT) technology and assesses its performance alongside alternative photovoltaic (PV) and solar thermal (ST) configurations. A transient model is developed, together with economic and environmental assessments, to simulate overall energy performance, including the use of thermal energy from the PVT system to support summer cooling via a diffusion absorption refrigeration (DAR) cycle without using electricity during summer months. All system configurations are analysed under different layouts, both with and without battery storage. As a case study, the system is designed for application in Berlin, Germany, and the results show that the PVT-based system can supply 68% of domestic hot water demand and 48% of appliance electricity use, but only 12% of space heating due to the limited temperature output of the PVT collectors. Importantly, while the DAR system achieves full coverage of space cooling demand in summer, it relies heavily on auxiliary thermal energy input, underscoring a key area for system improvement. The economic analysis indicates net present values of approximately €7800 for PVT, €11,300 for ST, and €23,600 for PV, with corresponding payback periods of 21.0, 16.5, and 6.9 years. In terms of environmental performance, the PVT-based system achieves the highest carbon dioxide emission reduction at 2658 kg/year, followed by the PV (1904 kg/year) and ST (1781 kg/year) systems. The sensitivity analysis highlights the critical role of battery integration, especially under high grid electricity prices. In conclusion, the PVT-based S-CCHP system demonstrates strong economic and environmental potential in urban environments, while the DAR integration offers a compelling pathway for electricity-free cooling, revealing significant opportunities for optimisation and future development.
住宅领域越来越多地采用太阳能,在推进可持续能源实践、减少二氧化碳排放和提高能源独立性方面发挥着关键作用。本研究考察了结合光伏热(PVT)技术的太阳能冷热联产(S-CCHP)系统,并评估了其与替代光伏(PV)和太阳能热(ST)配置的性能。开发了一个瞬态模型,并进行了经济和环境评估,以模拟整体能源性能,包括使用PVT系统的热能,通过扩散吸收制冷(DAR)循环支持夏季冷却,而无需在夏季使用电力。所有的系统配置在不同的布局下进行分析,包括有和没有电池存储。作为一个案例研究,该系统设计应用于德国柏林,结果表明,基于PVT的系统可以满足68%的生活热水需求和48%的家电用电,但由于PVT集热器的温度输出有限,只能满足12%的空间采暖。重要的是,虽然DAR系统在夏季实现了空间制冷需求的全覆盖,但它严重依赖辅助热能输入,突出了系统改进的关键领域。经济分析表明,PVT的净现值约为7800欧元,ST为11,300欧元,PV为23,600欧元,相应的投资回收期为21.0年,16.5年和6.9年。在环保性能方面,基于PV的系统实现了最高的二氧化碳减排,为2658公斤/年,其次是PV(1904公斤/年)和ST(1781公斤/年)系统。敏感性分析强调了电池集成的关键作用,特别是在高电网电价下。总之,基于ppt的S-CCHP系统在城市环境中显示出强大的经济和环境潜力,而DAR集成为无电冷却提供了令人信服的途径,揭示了优化和未来发展的重要机会。
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引用次数: 0
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Energy
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