IF 9 1区工程技术

Energy Pub Date : 2024-11-12 DOI: 10.1016/j.energy.2024.133809

Fadhli Wong Mohd Hasan Wong , Dlzar Al Kez , Dylan Furszyfer Del Rio , Aoife Foley , David Rooney , Mahpuzah Abai

{"title":"Decarbonizing and offsetting emissions in the airline industry: Current perspectives and strategies","authors":"Fadhli Wong Mohd Hasan Wong , Dlzar Al Kez , Dylan Furszyfer Del Rio , Aoife Foley , David Rooney , Mahpuzah Abai","doi":"10.1016/j.energy.2024.133809","DOIUrl":"10.1016/j.energy.2024.133809","url":null,"abstract":"<div><div>The Sixth Intergovernmental Panel on Climate Change Assessment Report underscores incremental progress in climate mitigation policies since 2014. Despite these efforts, the report indicates that global temperatures are likely to surpass the critical 1.5 °C threshold within the 21st century. In this context, the aviation industry, responsible for 2.8 % of global carbon dioxide emissions, faces challenges in meeting its net-zero emissions target by 2050. Through a mixed methods approach that includes expert interviews with 12 executive staff from airlines and airports and a targeted literature review, our research provides original data on means and challenges to decarbonize the aviation industry in the SEAO region. The findings reveal that significant hurdles persist while the aviation sector is actively pursuing decarbonization strategies, such as enhancing operational efficiency, adopting effective carbon offsetting measures, and transitioning to sustainable aviation fuels. Notably, using sustainable aviation fuels holds promise, potentially reducing carbon emissions by up to 70 %. However, its current contribution to total consumed jet fuel remains below 1 %. The industry is taking steps to address this by optimizing flight paths, schedules, and making strategic investments to decrease the costs associated with sustainable aviation fuels. Our qualitative data also underscores the influence of external factors, including investor pressure, national and international regulations, and a growing demand from environmentally conscious travellers for cleaner transport alternatives. Failure from airline industries to adopt more sustainable and efficient practices could lead to increased operating costs and revenue loss as corporate clients and customers increasingly seek greener transportation options.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133809"},"PeriodicalIF":9.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of high-performance binary carbonate/hydroxide Ni-based supercapacitors for photo-storage systems 设计用于光存储系统的高性能二元碳酸盐/氢氧化物镍基超级电容器

IF 9 1区工程技术

Energy Pub Date : 2024-11-11 DOI: 10.1016/j.energy.2024.133593

Damin Lee , Nilanka M. Keppetipola , Dong Hwan Kim , Jong Wook Roh , Ludmila Cojocaru , Thierry Toupance , Jeongmin Kim

{"title":"Design of high-performance binary carbonate/hydroxide Ni-based supercapacitors for photo-storage systems","authors":"Damin Lee , Nilanka M. Keppetipola , Dong Hwan Kim , Jong Wook Roh , Ludmila Cojocaru , Thierry Toupance , Jeongmin Kim","doi":"10.1016/j.energy.2024.133593","DOIUrl":"10.1016/j.energy.2024.133593","url":null,"abstract":"<div><div>Silicon solar cells were used to convert solar energy into electrical energy, and a supercapacitor was designed to store this energy. To maximize the surface area of the electrodes, a three-dimensional Ni foam substrate was employed, onto which Ni-based compounds were deposited to enhance the electrochemical performance of the electrodes. Specifically, to address the conductivity reduction problem that arises when using only Ni ions, we introduced transition metal ions such as Mn, Co, Cu, Fe, and Zn to create binary compounds as electrode material. These binary metal compounds provided high electronic conductivity, structural stability, and reversible capacity, thereby optimizing the performance of the supercapacitor. As a result, the optimized NiCo(CO<sub>3</sub>)(OH)<sub>2</sub> electrode demonstrated high capacity and excellent cycle stability, exhibiting an energy density of 35.5 Wh kg<sup>−1</sup> and a power density of 2555.6 W kg<sup>−1</sup> as an asymmetric supercapacitor device. Furthermore, when this device was combined directly with silicon solar cells, it achieved a storage efficiency of 63 % and an overall efficiency of 5.17 % under an illumination intensity of 10 mW cm<sup>−2</sup>. These findings suggest the potential for commercializing high-performance self-charging energy storage devices and contribute significantly to the advancement of energy storage technology.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133593"},"PeriodicalIF":9.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661430","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

Investigating the impacts of the Dual Carbon Targets on energy and carbon flows in China 调查 "双碳目标 "对中国能源和碳流动的影响

IF 9 1区工程技术

Energy Pub Date : 2024-11-10 DOI: 10.1016/j.energy.2024.133778

Peng-Tao Wang , Qing-Chuang Xu , Fei-Yin Wang , Mao Xu

{"title":"Investigating the impacts of the Dual Carbon Targets on energy and carbon flows in China","authors":"Peng-Tao Wang , Qing-Chuang Xu , Fei-Yin Wang , Mao Xu","doi":"10.1016/j.energy.2024.133778","DOIUrl":"10.1016/j.energy.2024.133778","url":null,"abstract":"<div><div>As the world's largest carbon emitter, China has committed to ambitious “Dual Carbon Targets” to address climate change. To investigate the impact of the Dual Carbon Targets on energy consumption and carbon dioxide (CO<sub>2</sub>) emissions, CO<sub>2</sub> emissions were calculated, and Sankey diagrams of energy and CO<sub>2</sub> flows for 2018–2022 were drawn based on the latest energy statistics. This study finds that China's primary energy supply was 5.429 Gtce, with terminal energy consumption at 3.801 Gtce in 2022. CO<sub>2</sub> emissions reached 12.01 Gt, marking a 12.24 % increase since 2018. Emission intensity varies regionally, being higher in the north and lower in the south, with a national average of 0.1 kg/CNY. Coal continues to dominate energy consumption at 64 %, though its share of emissions is declining, particularly in transportation and residential sectors. By 2060, electricity is expected to become the primary energy source, significantly lowering carbon emissions, with Carbon Capture, Utilization, and Storage technologies playing a crucial role in achieving the targets. This analysis provides critical insights into China's transition to a low-carbon economy, serving as a valuable resource for policymakers to optimize the energy structure and meet environmental goals.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133778"},"PeriodicalIF":9.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661432","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

Thermal performance analysis of a Trombe wall with the multi-row channel PCM wallboard 使用多排通道 PCM 壁板的 Trombe 墙的热性能分析

IF 9 1区工程技术

Energy Pub Date : 2024-11-10 DOI: 10.1016/j.energy.2024.133796

Yazi Li , Yonggang Lei , Yao Yan , Chongfang Song

{"title":"Thermal performance analysis of a Trombe wall with the multi-row channel PCM wallboard","authors":"Yazi Li , Yonggang Lei , Yao Yan , Chongfang Song","doi":"10.1016/j.energy.2024.133796","DOIUrl":"10.1016/j.energy.2024.133796","url":null,"abstract":"<div><div>A novel Trombe wall with the multi-row channel phase change material wallboard (MCPCM-TW) is proposed to enhance the solar energy utilization. The structure contains the glazing, the heat-absorbing layer and the phase change thermal storage layer with several built-in channels, either aligned vertically or horizontally. The thermal performance of the Trombe walls, which consist of the multi-row vertical channel phase change material wallboard (V-MCPCM-TW) and the multi-row horizontal channel phase change material wallboard (H-MCPCM-TW), were investigated numerically in the present research. Meanwhile, the Trombe wall incorporating phase change thermal storage layer without built-in channels also studied in the paper. The results indicate that, the multi-row channel phase change material wallboard effectively enhances the heat storage and release of the phase change thermal storage layer, thereby extending the duration of ventilation and increasing the cumulative heat supply of the rooms equipped with the novel Trombe wall. Specifically, the V-MCPCM-TW has a higher maximum liquid volume fraction during the heat storage. Compared with the Trombe wall incorporating phase change thermal storage layer without built-in channels, the V-MCPCM-TW has a 16 % increase in maximum liquid volume fraction and a 15.5 % increase in cumulative heat supply within a certain period.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133796"},"PeriodicalIF":9.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661425","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

Thermal decomposition and shock response mechanism of DNTF: Deep potential molecular dynamics simulations DNTF 的热分解和冲击响应机制：深电位分子动力学模拟

IF 9 1区工程技术

Energy Pub Date : 2024-11-10 DOI: 10.1016/j.energy.2024.133799

Jun Jiang , Yin Yu , Zheng Mei , Zhen-Xin Yi , Xue-Hai Ju

{"title":"Thermal decomposition and shock response mechanism of DNTF: Deep potential molecular dynamics simulations","authors":"Jun Jiang , Yin Yu , Zheng Mei , Zhen-Xin Yi , Xue-Hai Ju","doi":"10.1016/j.energy.2024.133799","DOIUrl":"10.1016/j.energy.2024.133799","url":null,"abstract":"<div><div>A neural network deep potential (DP) is developed for the shock response and thermal decomposition mechanisms of 3,4-Bis(3-nitrofurazan-4-yl)furoxan (DNTF). This DP potential, trained on <em>ab initio</em> datasets, achieves the accuracy of density functional theory (DFT) and higher computational efficiency. The simulation results show that DNTF is anisotropic under shock loading. And the critical shock decomposition temperatures along the [100], [010], and [001] directions are 463.64 K, 451.85 K, and 486.69 K, respectively. For the first time, the low-temperature (<750 K) decomposition of DNTF is successfully simulated using molecular dynamics combined with DP model. The decomposition of DNTF begins with the O-N bond opening of the furoxan ring, followed by the breaking of the C-NO<sub>2</sub> bond and opening of the furazan rings, under thermal conditions. The critical thermal decomposition is between 458.3 K and 562.5 K at a heating rate of 13.5 K/ps. The final products are CO<sub>2</sub>, N<sub>2</sub>, and CO, and the main intermediates are NO<sub>2</sub>, NO, and N<sub>2</sub>O. The activation energy of decomposition is 142.4 kJ/mol obtained by Ozawa method. This study not only provides a powerful tool for investigating the performance of DNTF but also offers a feasible approach for other energetic materials, advancing the field significantly.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133799"},"PeriodicalIF":9.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661435","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

Investigation of oil-based CO2 foam EOR and carbon mitigation in a 2D visualization physical model: Effects of different injection strategies 二维可视化物理模型中的油基二氧化碳泡沫 EOR 和碳减排研究：不同注入策略的影响

IF 9 1区工程技术

Energy Pub Date : 2024-11-10 DOI: 10.1016/j.energy.2024.133800

Zhoujie Wang , Songyan Li , Yaohui Wei , Faqiang Dang , Minghe Li

{"title":"Investigation of oil-based CO2 foam EOR and carbon mitigation in a 2D visualization physical model: Effects of different injection strategies","authors":"Zhoujie Wang , Songyan Li , Yaohui Wei , Faqiang Dang , Minghe Li","doi":"10.1016/j.energy.2024.133800","DOIUrl":"10.1016/j.energy.2024.133800","url":null,"abstract":"<div><div>CO<sub>2</sub> flooding in low-permeability and tight oil reservoirs often encounters gas channeling, which affects oil recovery. To address this, oil-based CO<sub>2</sub> foam development is explored using a two-dimensional visual physical model. The study includes three experimental setups: CO<sub>2</sub> flooding followed by oil-based CO<sub>2</sub> foam flooding, CO<sub>2</sub> Huff-n-Puff (HnP) followed by oil-based CO<sub>2</sub> foam HnP, and oil-based CO<sub>2</sub> foam HnP followed by oil-based CO<sub>2</sub> foam flooding. Findings reveal that using oil-based CO<sub>2</sub> foam after CO<sub>2</sub> development increases recovery factors by 15.62 % and 35.86 % for HnP and flooding, respectively, and significantly boosts CO<sub>2</sub> storage. The CO<sub>2</sub> storage is 1.96 times and 6.03 times higher than the initial one. After oil-based CO<sub>2</sub> foam is used, the red area near the outlet of the visualization model becomes shallower, indicating a further decrease in residual oil saturation. The oil-based CO<sub>2</sub> foam method reduces residual oil saturation and extends production duration while decreasing gas production rates. This approach effectively plugs gas channels, enhancing CO<sub>2</sub> sweep efficiency, crude oil mobility, and recovery. The results provide innovative strategies for oilfield development, supporting carbon sequestration and offering substantial economic and environmental benefits.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133800"},"PeriodicalIF":9.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661433","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

The real-time detection of defects in nuclear power pipeline thermal insulation glass fiber by deep-learning 利用深度学习实时检测核电管道保温玻璃纤维的缺陷

IF 9 1区工程技术

Energy Pub Date : 2024-11-09 DOI: 10.1016/j.energy.2024.133774

Qiankang Zheng , Le Lu , Zhaofeng Chen , Qiong Wu , Mengmeng Yang , Bin Hou , Shijie Chen , Zhuoke Zhang , Lixia Yang , Sheng Cui

{"title":"The real-time detection of defects in nuclear power pipeline thermal insulation glass fiber by deep-learning","authors":"Qiankang Zheng , Le Lu , Zhaofeng Chen , Qiong Wu , Mengmeng Yang , Bin Hou , Shijie Chen , Zhuoke Zhang , Lixia Yang , Sheng Cui","doi":"10.1016/j.energy.2024.133774","DOIUrl":"10.1016/j.energy.2024.133774","url":null,"abstract":"<div><div>Glass fiber, prized for its high-temperature thermal insulation and radiation resistance, serves as a crucial material for insulating nuclear power pipelines. However, the harsh operational conditions often lead to material defects, underscoring the importance of defect detection for energy efficiency and personnel safety, and manually segmenting and classifying defects can be time-consuming and increase risks. Hence, there is a pressing need for a real-time and accurate detection method. In this work, infrared images of nuclear power pipeline thermal insulation glass fiber defects were collected to establish the dataset, and the damage mechanisms were analyzed. Besides, various prevalent object detection models were tested and found that YOLOv8n exhibited significant potential for improvement with exceptional speed performance and detection accuracy. Through integrated EMA attention blocks, incorporating the FasterNet blocks into the backbone, retrofitting the neck layers with the slim-neck structure, and implementing DyHead in the YOLOv8n's head, our improved model achieves the highest values of mean Average Precision (mAP) scores with 0.5:0.95 intersection over union (IoU) of 57.6 %, and 0.5 IoU of 86.8 %, while maintaining the original high detection speed and low number of parameters, ensures suitability for real-time detection deployment on edge devices of nuclear power plants.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133774"},"PeriodicalIF":9.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661540","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

Assessment of trade-off, exergetic performance, and greenhouse gas impact-cost analysis of a diesel engine running with different proportions of TiO2, Ag2O, and CeO2 nanoadditives 使用不同比例的 TiO2、Ag2O 和 CeO2 纳米添加剂的柴油发动机的权衡评估、能效和温室气体影响成本分析

IF 9 1区工程技术

Energy Pub Date : 2024-11-09 DOI: 10.1016/j.energy.2024.133786

Halil Erdi Gülcan , Derviş Erol , Mehmet Çelik , Cihan Bayındırlı

{"title":"Assessment of trade-off, exergetic performance, and greenhouse gas impact-cost analysis of a diesel engine running with different proportions of TiO2, Ag2O, and CeO2 nanoadditives","authors":"Halil Erdi Gülcan , Derviş Erol , Mehmet Çelik , Cihan Bayındırlı","doi":"10.1016/j.energy.2024.133786","DOIUrl":"10.1016/j.energy.2024.133786","url":null,"abstract":"<div><div>In this study, the effects of adding different proportions of TiO<sub>2</sub>, Ag<sub>2</sub>O, and CeO<sub>2</sub> nanoparticles to a three-cylinder, water-cooled, four-stroke, direct injection diesel engine on engine performance and exhaust emissions are experimentally investigated. The experiments are conducted at four different engine loads (10, 20, 30, and 40 Nm) and a constant engine speed (1800 rpm). TiO<sub>2</sub>, Ag<sub>2</sub>O, and CeO<sub>2</sub> nanoparticles are added to the diesel fuel at concentrations of 50 and 75 ppm each. The test fuels used in the study are as follows: D100, DTi50, DTi75, DAg50, DAg75, DCe50 and DCe75. Using the experimental results, analyses of energy, exergy, sustainability, greenhouse gas (GHG) emission impact, and cost are performed. The experimental results reveal that the use of nanoparticles in diesel fuel reduces BSFC. The highest reduction in BSFC is achieved with DTi75 fuel, averaging 9 %. Additionally, DTi75 fuel shows an average increase of 19 % in NO<sub>x</sub> emissions compared to D100 fuel, while smoke emissions decrease by an average of 30 %. The highest average increase in exergy efficiency compared to D100 fuel is obtained with DAg50 fuel (5.6 %), followed by DTi75 fuel (5.3 %). The addition of nanoparticles to diesel fuel also leads to an increase in GHG emissions. Compared to D100 fuel, the highest average contribution to GHG emissions increase is shown by DTi75 fuel (12 %), while the lowest average contribution is observed with DAg50 fuel (4 %).</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133786"},"PeriodicalIF":9.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661556","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

Prediction and optimization design of porous structure properties of biomass-derived biochar using machine learning methods 利用机器学习方法预测和优化设计生物质衍生生物炭的多孔结构特性

IF 9 1区工程技术

Energy Pub Date : 2024-11-09 DOI: 10.1016/j.energy.2024.133707

Zejian Ai , Song Luo , Zhengyong Xu , Jianbing Cao , Lijian Leng , Hailong Li

{"title":"Prediction and optimization design of porous structure properties of biomass-derived biochar using machine learning methods","authors":"Zejian Ai , Song Luo , Zhengyong Xu , Jianbing Cao , Lijian Leng , Hailong Li","doi":"10.1016/j.energy.2024.133707","DOIUrl":"10.1016/j.energy.2024.133707","url":null,"abstract":"<div><div>Biochar produced from biomass by pyrolysis and activation is a platform porous carbon material that has been widely used in many areas. The porosity properties of biochar such as specific surface area (SSA), total pore volume (Total_PV), micropore volume (Micro_PV), mesopore volume (Meso_PV), and average pore size (Average_PS) are essential to biochar applications. Although previous machine learning (ML) models can precisely predict SSA and Total_PV, these models are unable to comprehensively predict the other porosity characteristics. More importantly, activation, which is a critical process for preparing high-porosity biochar, was generally not considered in previous studies. Here, six single-target models were established first based on pyrolysis & activation conditions for the prediction of SSA, Total_PV, Micro_PV, Meso_PV, Average_PS, and yield, obtaining test R<sup>2</sup> of 0.89, 0.86, 0.88, 0.89, 0.76 and 0.91, respectively. Then, a multi-target model was established for simultaneous prediction with an average test R<sup>2</sup> of 0.87. ML model interpretation indicated agent type and ratio were crucial to porosity properties. Finally, activation and direct pyrolysis biochar production optimum schemes were derived from ML model for a high porosity. Favorable experimental verification results were obtained with validation R<sup>2</sup> of 0.98, indicating the great potential of using ML for biochar engineering.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133707"},"PeriodicalIF":9.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661605","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

Dynamic characteristics of pumped thermal-liquid air energy storage system: Modeling, analysis, and optimization 抽水蓄热-液态空气储能系统的动态特性：建模、分析和优化

IF 9 1区工程技术

Energy Pub Date : 2024-11-09 DOI: 10.1016/j.energy.2024.133776

Wei Ai , Liang Wang , Xipeng Lin , Yakai Bai , Jingjian Huang , Jiexiang Hu , Haisheng Chen

{"title":"Dynamic characteristics of pumped thermal-liquid air energy storage system: Modeling, analysis, and optimization","authors":"Wei Ai , Liang Wang , Xipeng Lin , Yakai Bai , Jingjian Huang , Jiexiang Hu , Haisheng Chen","doi":"10.1016/j.energy.2024.133776","DOIUrl":"10.1016/j.energy.2024.133776","url":null,"abstract":"<div><div>Pumped thermal-liquid air energy storage (PTLAES) is a novel energy storage technology that combines pumped thermal- and liquid air energy storage and eliminates the need for cold storage. However, existing studies on this system are all based on steady-state assumption, lacking dynamic analysis and optimization to better understand the system's performance under cyclic operation. To fill this gap, the mainbody-linearized cyclic dynamic model of the PTLAES system with packed bed thermal energy storage (TES) was first developed. Then, the dynamic characteristics of the baseline system were investigated. Sensitivity analyses were carried out on TES parameters. Minimal values of levelized cost of storage (LCOS) were observed for all parameters in the range of interest. Subsequently, the TES circuit was optimized, and a triple improvement of efficiency and energy density enhancement, discharge stabilization, and cost reduction was achieved. The optimized system's round-trip efficiency and energy density increased from 61.7 % to 63.1 % and from 141.9 kWh/m³ to 159.2 kWh/m³, and the LCOS decreased from 163.2 $/MWh to 159.4 $/MWh. A power offset ratio lower than 3 % was reached, which is the lowest value ever reported in the literature. This study provides reference for future design and operation of the PTLAES system.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133776"},"PeriodicalIF":9.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661416","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

Energy最新文献