Pub Date : 2026-03-15Epub Date: 2026-02-10DOI: 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。
{"title":"Next-generation LNG regasification: Natural draft ambient air vaporizer with buoyancy-driven convection for enhanced performance and reduced cost/footprint","authors":"Xiaoxiao Li , Qian Zhang , Yi Que , Qibin Li , Chao Liu , Junjie Feng","doi":"10.1016/j.energy.2026.140414","DOIUrl":"10.1016/j.energy.2026.140414","url":null,"abstract":"<div><div>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<sup>−2</sup> K<sup>−1</sup>) 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<sup>−2</sup> K<sup>−1</sup>) 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 Nm<sup>3</sup> h<sup>−1</sup>. This combustion-free, water-independent technology demonstrates the conceptual viability of a scalable, low-carbon pathway for distributed LNG regasification.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140414"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187351","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}
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.
{"title":"Investigation on the evolution in physiochemical properties of soot from ammonia/diesel engines along the after-treatment devices in the exhaust process","authors":"Junfeng Huang , Zhongwei Meng , Jianbing Gao , Xiaochen Wang , Yunge Zhao , Mingxu Qi","doi":"10.1016/j.energy.2026.140359","DOIUrl":"10.1016/j.energy.2026.140359","url":null,"abstract":"<div><div>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-O<sub><em>x</em></sub>) gradually decrease during the exhaust.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140359"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187347","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}
Pub Date : 2026-03-15Epub Date: 2026-02-10DOI: 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.
{"title":"Humidity-triggered autothermal regulation of lithium-ion batteries via liquid metal-PCM composites for enhanced cold-environment performance","authors":"Sihong He , Rukun Liu , Shahid Ali Khan , Kejian Dong , Song Ni , Dongxu Ji , Jiyun Zhao","doi":"10.1016/j.energy.2026.140351","DOIUrl":"10.1016/j.energy.2026.140351","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140351"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187466","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}
Pub Date : 2026-03-15Epub Date: 2026-02-10DOI: 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 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%。
{"title":"Optimization of liquid droplet injection in steam turbine blades: Loss reduction, droplet size control, and performance enhancement","authors":"Shoubing Zhang, Zunlong Jin, Guojie Zhang","doi":"10.1016/j.energy.2026.140384","DOIUrl":"10.1016/j.energy.2026.140384","url":null,"abstract":"<div><div>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 <span><math><mrow><msup><mn>10</mn><mn>18</mn></msup></mrow></math></span> 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.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140384"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186951","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}
Pub Date : 2026-03-15Epub Date: 2026-02-09DOI: 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.
{"title":"Compression scheme comparison for a carbon dioxide energy storage system","authors":"Xintao Fu , Yuwei Jiao , Zhan Liu","doi":"10.1016/j.energy.2026.140298","DOIUrl":"10.1016/j.energy.2026.140298","url":null,"abstract":"<div><div>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 CO<sub>2</sub> 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 CO<sub>2</sub> temperature is 16 °C and throttling pressure is 7.8 MPa. In the component level, the gas holder and liquid CO<sub>2</sub> 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.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140298"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187625","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}
Pub Date : 2026-03-15Epub Date: 2026-02-03DOI: 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.
{"title":"Explainable and physics-constrained PV power prediction via a hybrid framework Integrating secondary decomposition and improved Transformer-LSTM","authors":"Jiahao Zou, Zhaocai Wang, Zhaoyang Zhu, 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}
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%。
{"title":"Pilot-scale investigation and simulation-based optimization of MDEA/PZ for post-combustion CO2 capture","authors":"Haoqin Zhuang , Yindi Zhang , Shadrack Adjei Takyi , Jianrong Lv , Zhenhua Lei , Yue Xin , Paitoon Tontiwachwuthikuld","doi":"10.1016/j.energy.2026.140387","DOIUrl":"10.1016/j.energy.2026.140387","url":null,"abstract":"<div><div>N-methyldiethanolamine (MDEA) is extensively applied in CO<sub>2</sub> 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% H<sub>2</sub>O by mass) as the absorbent, investigating the CO<sub>2</sub> 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 m<sup>3</sup>/h, lean solution flow rate of 0.004 m<sup>3</sup>/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.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140387"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187623","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}
Pub Date : 2026-03-15Epub Date: 2026-02-05DOI: 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.
{"title":"Experimental and simulation analysis of the optical, electrical, and daylighting performance of the asymmetric concentrating photovoltaic/daylighting system","authors":"Qingdong Xuan , Ziyi Chen , Bin Jiang , Bin Zhao , Guiqiang Li , Gang Pei","doi":"10.1016/j.energy.2026.140263","DOIUrl":"10.1016/j.energy.2026.140263","url":null,"abstract":"<div><div>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 (<em>CV</em>) 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.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140263"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187628","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}
Pub Date : 2026-03-15Epub Date: 2026-02-08DOI: 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.
{"title":"Industrial hydrogen demand response for adaptive robust operation of electric hydrogen integrated energy systems","authors":"Peng Ren , Yingchao Dong , Hongli Zhang , Cong Wang , Jing Wang , Xiaochao Fan","doi":"10.1016/j.energy.2026.140353","DOIUrl":"10.1016/j.energy.2026.140353","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140353"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187634","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}
Pub Date : 2026-03-15Epub Date: 2026-02-03DOI: 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.
{"title":"Techno-economic-environmental analysis of a PVT-based solar combined cooling, heating, and power system","authors":"Jeremias E. Castro , Andreas V. Olympios , Asmaa A. Harraz , Bryce S. Richards , Jingyuan Xu","doi":"10.1016/j.energy.2026.140313","DOIUrl":"10.1016/j.energy.2026.140313","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140313"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187606","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}