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Vortex-induced vibration piezoelectric energy harvester with arch beam for multi-directional operation and self-powered sensing 涡激振动多方向工作自供电拱梁压电能量采集器
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-04 DOI: 10.1016/j.energy.2026.140251
Cuipeng Xia , Lihua Tang , Tianle Meng , Yawei Wang , Huaijun Li , Peilun Yin , Wan Sun , Weiqun Liu , Guobiao Hu , Kean C. Aw
{"title":"Vortex-induced vibration piezoelectric energy harvester with arch beam for multi-directional operation and self-powered sensing","authors":"Cuipeng Xia ,&nbsp;Lihua Tang ,&nbsp;Tianle Meng ,&nbsp;Yawei Wang ,&nbsp;Huaijun Li ,&nbsp;Peilun Yin ,&nbsp;Wan Sun ,&nbsp;Weiqun Liu ,&nbsp;Guobiao Hu ,&nbsp;Kean C. Aw","doi":"10.1016/j.energy.2026.140251","DOIUrl":"10.1016/j.energy.2026.140251","url":null,"abstract":"<div><div>Conventional vortex-induced vibration (VIV)-based piezoelectric energy harvesters (PEHs) typically operate effectively only under a single incident wind direction and within a narrow lock-in speed range, resulting in reduced adaptability and efficiency in naturally fluctuating wind conditions. In this study, a VIV-based PEH incorporating an arch beam as a supporting structure is proposed to capture wind energy over a broad range of incident wind directions and multiple lock-in wind speed ranges by activating higher-order vibrational modes. Finite element analysis is first conducted to determine the natural frequencies and corresponding mode shapes of the VIV-based PEHs with both the conventional straight beam and the proposed arch beam configurations. Subsequently, wind tunnel experiments are performed to evaluate the wind energy harvesting performance, including the cut-in wind speed, lock-in wind speed range, incident wind direction range, and electrical output, by leveraging the harvester's multi-modal response. Finally, the superior configuration with a central angle of 3π/4 is selected to demonstrate its application potential, including powering wireless sensors. The results reveal that the proposed harvester can effectively capture wind energy with superior wind direction adaptability and across several lock-in wind speed ranges by activating multiple modes, achieving optimal performance when the second bending mode is excited. Overall, this novel design provides a promising approach for efficiently harvesting wind energy and for powering remote sensing devices under variable natural wind conditions.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140251"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187632","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
Multi-physics field study of CO low-temperature catalytic reactor based on CFD-GNN approach 基于CFD-GNN方法的CO低温催化反应器多物理场研究
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-09 DOI: 10.1016/j.energy.2026.140401
Fuqing Wang , Kun Wang , Lixin Tang , Chun Wang , Kunlun Li
{"title":"Multi-physics field study of CO low-temperature catalytic reactor based on CFD-GNN approach","authors":"Fuqing Wang ,&nbsp;Kun Wang ,&nbsp;Lixin Tang ,&nbsp;Chun Wang ,&nbsp;Kunlun Li","doi":"10.1016/j.energy.2026.140401","DOIUrl":"10.1016/j.energy.2026.140401","url":null,"abstract":"<div><div>This study addresses excessive CO emissions and associated energy waste in flue gas by employing low-temperature catalytic oxidation of CO, combined with computational fluid dynamics (CFD) and orthogonal experiments to investigate key process parameters affecting catalytic performance and temperature rise. The investigation reveals that catalyst layer quantity substantially influences CO conversion efficiency, with CO concentration being the primary factor in flue gas temperature elevation. At 15000 ppm CO concentration, the sintering flue gas temperature increases by approximately 130 K, translating to potential savings of 43780 m<sup>3</sup>/h of blast furnace gas. A novel CFD-graph neural network (GNN) methodology was developed to expedite temperature and concentration field simulations within the catalytic reactor. The proposed GNN-autoencoder framework utilizes gradient-based dimensionality reduction and a weighted loss function to enhance predictive accuracy. The model demonstrates exceptional performance, achieving a minimum validation loss of 0.0106, with <em>R</em><sup>2</sup> values of 0.9812 and 0.9831 for training and testing sets. Notably, the model predicts CO concentrations and temperatures with average relative errors of 0.8564% and 0.0336%, respectively. This approach significantly reduces computational complexity while accurately capturing intricate physical field characteristics, offering efficient technical support for CO emission mitigation and energy recovery in sintering processes.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140401"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187636","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
Impact of parabolic breakwater on the safety characteristics of shared mooring floating oscillating water column devices array under freak waves 抛物线型防波堤对共享系泊浮动振荡水柱装置阵列在异常波作用下安全特性的影响
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-07 DOI: 10.1016/j.energy.2026.140336
Changdong Wei , Yanjun Liu , Shuting Huang , Gang Xue , Zhenyu Yuan , Mingchen Li
{"title":"Impact of parabolic breakwater on the safety characteristics of shared mooring floating oscillating water column devices array under freak waves","authors":"Changdong Wei ,&nbsp;Yanjun Liu ,&nbsp;Shuting Huang ,&nbsp;Gang Xue ,&nbsp;Zhenyu Yuan ,&nbsp;Mingchen Li","doi":"10.1016/j.energy.2026.140336","DOIUrl":"10.1016/j.energy.2026.140336","url":null,"abstract":"<div><div>The energy capture efficiency of oscillating water column (OWC) device can be enhanced through the focusing effect of waves by a parabolic breakwater (PB). However, the focusing effect may also increase the survival threat to devices under extreme sea conditions. This paper conducted a fully coupled high-fidelity numerical simulation study to investigate the interaction process between freak waves and the combined PB-OWC array system. A numerical coupling model using discrete element method (DEM) and computational fluid dynamics (CFD) was established to realize the coupling between PB-OWC array, shared moorings, and freak waves. The combined wave focusing model and the push plate wave-making theory were used to simulate the freak waves. Hydrodynamic motion response, wave pressure, mooring tension and captured power of a 5-OWCs array under shared mooring with and without the PB were analyzed. Results show that the PB diminishes extreme wave forces on OWCs during the theoretical freak wave period, enhancing survivability while increasing higher-order wave forces. The extreme mooing tension on the seaward side is reduced by 26.2%. The PB leads to more stable pressure and flow velocity in device at the central of the array, resulting in a significantly higher energy capture compared to outer devices. However, the PB increases wave slamming pressure on the leeward side of central OWC and causes negative pressure at higher elevations. For the 5-OWCs array without PB, the seaward slamming pressures of OWCs exhibit strong nonlinearity and a double-peak phenomenon, with the second slamming occurring after the freak wave period.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140336"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187607","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
Potential impacts of large-scale wind farms on regional climate and vegetation in northern China: Insights from modeling studies 大型风电场对中国北方区域气候和植被的潜在影响:来自模拟研究的见解
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-06 DOI: 10.1016/j.energy.2026.140360
Longxiang Dong , Ye Yu , Xiaoqing Gao , Suping Zhao , Jianglin Li , Hongchao Zuo
{"title":"Potential impacts of large-scale wind farms on regional climate and vegetation in northern China: Insights from modeling studies","authors":"Longxiang Dong ,&nbsp;Ye Yu ,&nbsp;Xiaoqing Gao ,&nbsp;Suping Zhao ,&nbsp;Jianglin Li ,&nbsp;Hongchao Zuo","doi":"10.1016/j.energy.2026.140360","DOIUrl":"10.1016/j.energy.2026.140360","url":null,"abstract":"<div><div>Large-scale wind power development is a critical pathway for China's low-carbon energy transition. However, the cascading impacts of rapidly expanding wind farms (WFs) on regional climate and vegetation remain poorly understood. This study employs a coupled climate-vegetation model to assess the potential environmental effects of large-scale WFs in northern China and to investigate the mechanisms linking WFs with climate and vegetation dynamics. Our results show that WFs significantly alter lower atmospheric dynamics (e.g., wind speed and turbulence) at both local and regional scales, with minimal impact on temperature. Furthermore, by enhancing windward moisture convergence, vertical velocity, and regional atmospheric instability, the WFs promote summer convective precipitation in northern China's farming-pastoral ecotone (FPE). The resultant positive soil moisture anomalies, together with reduced vapor pressure deficit, collectively drive vegetation greening, leading to a widespread 1–5% increase in vegetation coverage. Sensitivity experiments further reveal that larger turbines and expanded WFs amplify these climatic-ecological effects. These findings highlight the potential benefits of wind power infrastructure for regional climate and vegetation in similar dryland regions, providing scientific insights for synergizing wind energy development with desertification control in climate-sensitive transition zones.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140360"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187608","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
Comprehensive stability analysis of pumped storage power station under wide-load operation across the full head range: Quantitative evaluation and global sensitivity 全水头范围内抽水蓄能电站大负荷运行综合稳定性分析:定量评价与全局敏感性
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-04 DOI: 10.1016/j.energy.2026.140329
Sheng Chen , Xinxin Cao , Pengyu Zhang , Jian Zhang , Yi Liu
{"title":"Comprehensive stability analysis of pumped storage power station under wide-load operation across the full head range: Quantitative evaluation and global sensitivity","authors":"Sheng Chen ,&nbsp;Xinxin Cao ,&nbsp;Pengyu Zhang ,&nbsp;Jian Zhang ,&nbsp;Yi Liu","doi":"10.1016/j.energy.2026.140329","DOIUrl":"10.1016/j.energy.2026.140329","url":null,"abstract":"<div><div>With the integration of large-scale intermittent energy sources into grids, pumped storage power stations (PSPSs) are required to operate under wide-load operation across the full head range (WLO-FHR), imposing higher demands for operational stability. However, existing research primarily focuses on some representative operating conditions, and systematic analysis of the PSPS stability under WLO-FHR remains insufficient. In this study, a stability analysis model for PSPS was established. The dimensionless stability region area was introduced to quantify the PSPS stability. Subsequently, the variation law of the PSPS stability with the operating conditions was revealed. Further, a global sensitivity analysis (GSA) of the PSPS stability was conducted. Finally, a parameter optimization strategy for enhancing stability is proposed. The results indicated that the head of the pump-turbine had minimal effect on the PSPS stability, whereas a higher output led to poorer stability. The PSPS exhibited the poorest stability under the rated head and output conditions. The system stability was primarily determined by the independent effects of the parameters. The water inertia time constant of the penstock (<em>T</em><sub><em>w</em></sub>) had the most significant impact on the stability, followed by the unit inertia time constant (<em>T</em><sub><em>a</em></sub>) and pump-turbine characteristic parameters (<em>s</em><sub>2</sub> and <em>s</em><sub>4</sub>), whereas the head loss coefficient (<em>k</em>) and pump-turbine characteristic parameters (<em>s</em><sub>1</sub> and <em>s</em><sub>3</sub>) had smaller effects. Reducing <em>T</em><sub><em>w</em></sub> significantly improved the system stability, and increasing <em>T</em><sub><em>a</em></sub>, decreasing <em>s</em><sub>2</sub>, and increasing <em>s</em><sub>4</sub> also contributed to enhanced stability.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140329"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187594","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
Design and optimization of a liquid air energy storage system coupling dry ice production and solar absorption refrigeration system 干冰产热与太阳能吸收式制冷耦合液空储能系统的设计与优化
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-01-03 DOI: 10.1016/j.energy.2026.139904
Fengyuan Yan , Jinliang Geng , Bohan Cao , Zhentao Huo , Heng Sun , Yongtu Liang
{"title":"Design and optimization of a liquid air energy storage system coupling dry ice production and solar absorption refrigeration system","authors":"Fengyuan Yan ,&nbsp;Jinliang Geng ,&nbsp;Bohan Cao ,&nbsp;Zhentao Huo ,&nbsp;Heng Sun ,&nbsp;Yongtu Liang","doi":"10.1016/j.energy.2026.139904","DOIUrl":"10.1016/j.energy.2026.139904","url":null,"abstract":"<div><div>Liquefied air energy storage (LAES) can effectively address the integration and consumption of renewable energy. This paper proposes a LAES system coupled with a solar absorption refrigeration system and dry ice production (LAES-ARS-DIP). The proposed system employs a hydrocarbon-based mixed refrigerant as the cold storage medium, which significantly enhances the heat transfer efficiency in the heat exchanger. The integrated solar absorption refrigeration system and dry ice production achieve highly efficient energy utilization. Based on the designed LAES-ARS-DIP, a model is established using HYSYS software, and the key parameters of the process are optimized using the particle swarm optimization (PSO) algorithm. Additionally, energy analysis, exergy analysis, and economic analysis were performed to evaluate the thermodynamic performance and economic viability of the system. The energy analysis indicates that the designed LAES-ARS-DIP achieves a round-trip efficiency (RTE) of 73.93 % and a specific energy consumption (SEC) of 0.2166 kWh/kg, demonstrating high energy efficiency. The exergy analysis results indicate that the exergy efficiency (EXE) of the LAES-ARS-DIP is 78.73 %, with a total exergy loss of 76701.80 kW. The economic analysis shows that the total annual cost of the proposed process is $28.08 million/y. Furthermore, the dry ice production of the LAES-ARS-DIP system is 170953.06 kg/h, enabling highly efficient utilization of the cold energy released during air expansion power generation. These findings demonstrate substantial potential for advancing the development of multi-energy complementary systems in practical engineering applications.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 139904"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187722","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
Geographic information system-based closed-loop co-optimization of site-capacity-operation for multi-energy complementary bases 基于地理信息系统的多能互补基地场地-能力-运行闭环协同优化
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-09 DOI: 10.1016/j.energy.2026.140398
Su Guo , Chen Wang , Zherui Ma , Yanjun Zhang , Zhenkun Qin , Jingshu Yan , Yanhan Qiao
{"title":"Geographic information system-based closed-loop co-optimization of site-capacity-operation for multi-energy complementary bases","authors":"Su Guo ,&nbsp;Chen Wang ,&nbsp;Zherui Ma ,&nbsp;Yanjun Zhang ,&nbsp;Zhenkun Qin ,&nbsp;Jingshu Yan ,&nbsp;Yanhan Qiao","doi":"10.1016/j.energy.2026.140398","DOIUrl":"10.1016/j.energy.2026.140398","url":null,"abstract":"<div><div>The efficient planning of multi-energy complementary bases necessitates coordinated decision-making across geographical siting, capacity allocation, and dispatch. Prevailing approaches often treat geospatial suitability as a static, upfront constraint, lacking a closed-loop mechanism to dynamically refine siting and capacity decisions based on operational feedback. To bridge this gap, this study proposes a geographic information system-based closed-loop co-optimization framework. The framework seamlessly integrates high-resolution spatial analysis with system-level techno-economic optimization. Specifically, geographic information system-derived multi-criteria site evaluations are quantified and directly embedded as weighting factors in the capacity allocation model, ensuring optimal spatial resource distribution. Subsequently, a hybrid energy storage model co-optimizes net present value and loss of power supply probability. Crucially, the actual loss of power supply probability obtained from the hourly operational simulation is fed back to iteratively adjust the upper-layer capacity configuration, establishing a robust planning-operation feedback loop. A case study of a wind-solar-hydro-coal-storage system in Bortala, China, shows that the framework achieves a 4.58% higher net present value and a 42.27% lower initial investment than conventional open-loop planning, while ensuring 100% renewable accommodation and a 1.64% loss of power supply probability. This work highlights the indispensable role of deeply coupling dynamic operational feedback with granular spatial intelligence for designing high-performance multi-energy systems.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140398"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186947","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
Optimization of interpretable hydropower reservoir operation rules by denoising diffusion probabilistic model, parallel chaotic cooperation search algorithm and liquid neural network 应用扩散概率去噪模型、并行混沌协同搜索算法和液体神经网络优化水电站可解释运行规则
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-03 DOI: 10.1016/j.energy.2026.140211
Yi-fan Xia , Zhong-kai Feng , Tie-sheng Guan , Wen-jing Niu , Xin Yin , Yan-li Zheng
{"title":"Optimization of interpretable hydropower reservoir operation rules by denoising diffusion probabilistic model, parallel chaotic cooperation search algorithm and liquid neural network","authors":"Yi-fan Xia ,&nbsp;Zhong-kai Feng ,&nbsp;Tie-sheng Guan ,&nbsp;Wen-jing Niu ,&nbsp;Xin Yin ,&nbsp;Yan-li Zheng","doi":"10.1016/j.energy.2026.140211","DOIUrl":"10.1016/j.energy.2026.140211","url":null,"abstract":"<div><div>The development of hydropower reservoir operation rules is crucial for ensuring their efficient, stable operation and rapid response capabilities. This study proposes an interpretable DDPM-PCCSA-LNN reservoir operation rules framework to address issues such as inadequate scenario representativeness, time-consuming optimization, limited training data, and lack of interpretability in traditional methods. DDPM generates large-scale operation scenarios, PCCSA solves the corresponding optimization problem, and LNN extracts operational rules with SHAP interpreting key factors. The model is applied to the Hongjiadu and Three Gorges hydropower reservoirs and results show that operation rules simulated by proposed model are closer to the actual optimal operation process, and the power generation balances efficiency and sustainability. In the test scenarios of the Hongjiadu hydropower reservoir, compared with traditional model, proposed model achieves 15.3% to 20.3% improvement in SI, while average annual power generation can reach 99.1% to 99.3% of optimal operation model. Based on traditional models, this method adds modules for scenario simulation and interpretability analysis, improves the construction accuracy of operation rules, and provides a valuable technical approach for watershed management.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140211"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186948","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
Exploring novel phase change temperature and humidity control materials lauric acid/expanded vermiculite/MIL-100(Fe)-based for synchronous controlling indoor temperature and humidity 探索基于月桂酸/膨胀蛭石/MIL-100(Fe)的新型相变温湿度控制材料同步控制室内温湿度
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-10 DOI: 10.1016/j.energy.2026.140420
Wanwan Fu , Zhili Zhao , Ning Xia , Jintao Ma , Jiamin Zhou , Jiesheng Liu , Hao Peng , Weicheng Chen
{"title":"Exploring novel phase change temperature and humidity control materials lauric acid/expanded vermiculite/MIL-100(Fe)-based for synchronous controlling indoor temperature and humidity","authors":"Wanwan Fu ,&nbsp;Zhili Zhao ,&nbsp;Ning Xia ,&nbsp;Jintao Ma ,&nbsp;Jiamin Zhou ,&nbsp;Jiesheng Liu ,&nbsp;Hao Peng ,&nbsp;Weicheng Chen","doi":"10.1016/j.energy.2026.140420","DOIUrl":"10.1016/j.energy.2026.140420","url":null,"abstract":"<div><div>Building materials with temperature and humidity control functions can enhance residential comfort, save energy, and reduce emissions when used for passive building energy efficiency. In the current study, a new category of phase change humidity control material (PCHCM) was developed, which could passively regulate indoor temperature and humidity to achieve a comfortable environment for the human body. The PCHCM was fabricated by physically mixing the highly hygroscopic MIL-100(Fe) with composite phase change material (CPCM), in which the CPCM used lauric acid (LA) as the PCM and expanded vermiculite (EVM) as the carrier. Results demonstrated that incorporating 45% EVM could efficiently address LA leakage. The PCHCMs with 40-50% CPCM mass fraction exhibited excellent thermal and humidity buffering capabilities, with an appropriate melting temperature (42.0-42.1 °C), strong water absorption capacity (0.216-0.258 g/g) under 60% relative humidity (RH), and good moisture buffering capacity (0.0041-0.0047 g/g·%RH). After undergoing thermal and wet cycles, the PCHCM still maintained good thermal reliability and wet stability. The test results indicate that the LA/EVM/MIL-100(Fe) PCHCM holds significant potential in the fields of temperature and humidity regulation as well as in energy-saving buildings.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140420"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187252","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
Global energy transition under dynamic trade networks: Integrating complex-network and deep learning methods 动态贸易网络下的全球能源转型:复杂网络与深度学习方法的整合
IF 9.4 1区 工程技术
Energy Pub Date : 2026-03-15 Epub Date: 2026-02-04 DOI: 10.1016/j.energy.2026.140305
Baojun Tang , Chongzhou Wang , Yun Wu , Jiaran Zhang , Ying Zou
{"title":"Global energy transition under dynamic trade networks: Integrating complex-network and deep learning methods","authors":"Baojun Tang ,&nbsp;Chongzhou Wang ,&nbsp;Yun Wu ,&nbsp;Jiaran Zhang ,&nbsp;Ying Zou","doi":"10.1016/j.energy.2026.140305","DOIUrl":"10.1016/j.energy.2026.140305","url":null,"abstract":"<div><div>The rapid advancement of energy technologies and profound geopolitical shifts have intensified uncertainties in global energy supply chains and added complexity to energy transitions. Existing transitions indicators, however, often fail to capture the evolution of international energy trade networks and the multidimensional interactions among countries embedded within them. To address this gap, this study integrates conventional transition indicators, weighted complex network analysis, and deep learning to jointly account for domestic energy system changes and external trade dynamics, thereby enabling a more comprehensive assessment of national energy transition performance. Specifically, a five-dimensional indicator framework is developed, encompassing energy security, energy equity, energy sustainability, transition support, and transition cost. The bilateral energy trade network of 115 countries are simulated for 2015-2023 in terms of scale, efficiency, and polarization. A Relational Graph Convolutional Network (R-GCN) is employed to integrate node-level attributes and relational features within the global energy trade network, producing a composite energy transition index and revealing cross-country trends. Results indicate that the global energy transition index exhibits a generally upward yet fluctuating trajectory, while transition support declines. Network centrality in global energy trade has risen by approximately 70%, with hub countries achieving sustained improvements, though the transition gap with lagging regions has widened by nearly 27%. Sensitivity to trade shocks varies substantially across dimensions, with energy sustainability being least affected. These findings underscore the need for countries to align transition strategies with regional trade network structures to improve both the efficiency and resilience of the global energy transition.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140305"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187254","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
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