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Decarbonizing and offsetting emissions in the airline industry: Current perspectives and strategies 航空业的去碳化和抵消排放:当前的观点和战略
IF 9 1区 工程技术 Q1 ENERGY & FUELS 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
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.
政府间气候变化专门委员会第六次评估报告强调了自2014年以来在气候减缓政策方面取得的逐步进展。尽管做出了这些努力,但报告指出,全球气温很可能在21世纪超过1.5 °C的临界值。在此背景下,占全球二氧化碳排放量 2.8% 的航空业在实现 2050 年净零排放目标方面面临挑战。我们的研究采用了混合方法,包括对 12 名航空公司和机场管理人员的专家访谈以及有针对性的文献综述,提供了有关东南欧地区航空业去碳化的手段和挑战的原始数据。研究结果表明,虽然航空业正在积极推行去碳化战略,如提高运营效率、采取有效的碳抵消措施以及向可持续航空燃料过渡,但仍存在重大障碍。值得注意的是,使用可持续航空燃料大有可为,有可能减少高达 70% 的碳排放。然而,目前可持续航空燃料占航空燃料总消耗量的比例仍低于 1%。航空业正在采取措施解决这一问题,优化飞行路线和时间表,并进行战略投资,以降低与可持续航空燃料相关的成本。我们的定性数据还强调了外部因素的影响,包括投资者压力、国家和国际法规,以及具有环保意识的旅客对清洁运输替代品日益增长的需求。由于企业客户和顾客越来越多地寻求更环保的运输方式,如果航空业不能采取更可持续和更高效的做法,可能会导致运营成本增加和收入损失。
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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 Q1 ENERGY & FUELS 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
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(CO3)(OH)2 electrode demonstrated high capacity and excellent cycle stability, exhibiting an energy density of 35.5 Wh kg−1 and a power density of 2555.6 W kg−1 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−2. These findings suggest the potential for commercializing high-performance self-charging energy storage devices and contribute significantly to the advancement of energy storage technology.
硅太阳能电池用于将太阳能转化为电能,而超级电容器则用于储存这些能量。为了最大限度地扩大电极的表面积,我们采用了三维泡沫镍基板,并在其上沉积了镍基化合物,以提高电极的电化学性能。具体来说,为了解决仅使用镍离子会导致电导率降低的问题,我们引入了过渡金属离子,如锰、钴、铜、铁和锌,以创建二元化合物作为电极材料。这些二元金属化合物具有高电子传导性、结构稳定性和可逆容量,从而优化了超级电容器的性能。因此,优化后的镍钴(CO3)(OH)2 电极表现出了高容量和出色的循环稳定性,作为非对称超级电容器装置,能量密度达到 35.5 Wh kg-1,功率密度达到 2555.6 W kg-1。此外,当该装置与硅太阳能电池直接结合时,在照明强度为 10 mW cm-2 的条件下,其存储效率达到 63%,总效率达到 5.17%。这些研究结果表明,高性能自充电储能装置具有商业化的潜力,并将极大地推动储能技术的发展。
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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 Q1 ENERGY & FUELS Pub Date : 2024-11-10 DOI: 10.1016/j.energy.2024.133778
Peng-Tao Wang , Qing-Chuang Xu , Fei-Yin Wang , Mao Xu
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 (CO2) emissions, CO2 emissions were calculated, and Sankey diagrams of energy and CO2 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. CO2 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.
作为世界上最大的碳排放国,中国承诺实现雄心勃勃的 "双碳目标",以应对气候变化。为了研究 "双碳目标 "对能源消耗和二氧化碳(CO2)排放的影响,我们计算了二氧化碳排放量,并根据最新的能源统计数据绘制了 2018-2022 年能源和二氧化碳流量的桑基图。研究发现,2022 年中国一次能源供应为 5.429 Gtce,终端能源消费为 3.801 Gtce。二氧化碳排放量达到 12.01 Gt,自 2018 年以来增长了 12.24%。排放强度因地区而异,北部较高,南部较低,全国平均为 0.1 kg/CNY。煤炭仍占能源消耗的 64%,但其排放份额正在下降,尤其是在交通和居民部门。到 2060 年,电力有望成为主要能源,从而大幅降低碳排放量,而碳捕集、利用和封存技术将在实现目标的过程中发挥关键作用。该分析为中国向低碳经济转型提供了重要见解,是决策者优化能源结构、实现环保目标的宝贵资源。
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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 Q1 ENERGY & FUELS Pub Date : 2024-11-10 DOI: 10.1016/j.energy.2024.133796
Yazi Li , Yonggang Lei , Yao Yan , Chongfang Song
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.
为提高太阳能利用率,我们提出了一种新型的多排通道相变材料墙板(MCPCM-TW)特罗姆贝墙。该结构包含玻璃、吸热层和相变蓄热层,内置多个垂直或水平排列的通道。本研究对由多排垂直通道相变材料墙板(V-MCPCM-TW)和多排水平通道相变材料墙板(H-MCPCM-TW)组成的 Trombe 墙的热性能进行了数值研究。同时,本文还研究了不带内置通道、包含相变蓄热层的 Trombe 墙体。研究结果表明,多排通道相变材料墙板能有效提高相变蓄热层的蓄热和放热能力,从而延长通风时间,增加装有新型 Trombe 墙的房间的累积供热量。具体来说,V-MCPCM-TW 在蓄热期间的最大液体体积分数更高。与包含相变蓄热层但没有内置通道的 Trombe 墙相比,V-MCPCM-TW 在一定时间内的最大液体体积分数增加了 16%,累计供热量增加了 15.5%。
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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 Q1 ENERGY & FUELS Pub Date : 2024-11-10 DOI: 10.1016/j.energy.2024.133799
Jun Jiang , Yin Yu , Zheng Mei , Zhen-Xin Yi , Xue-Hai Ju
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 ab initio 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-NO2 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 CO2, N2, and CO, and the main intermediates are NO2, NO, and N2O. 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.
针对 3,4-双(3-硝基呋喃-4-基)呋喃(DNTF)的冲击响应和热分解机理,开发了一种神经网络深度位势(DP)。该 DP 势在 ab initio 数据集上进行训练,达到了密度泛函理论(DFT)的精度和更高的计算效率。模拟结果表明,DNTF 在冲击加载下是各向异性的。沿[100]、[010]和[001]方向的临界冲击分解温度分别为463.64 K、451.85 K和486.69 K。首次利用分子动力学结合 DP 模型成功模拟了 DNTF 的低温(750 K)分解。在热条件下,DNTF 的分解始于呋喃环的 O-N 键打开,然后是 C-NO2 键断裂和呋喃环打开。临界热分解温度为 458.3 K 至 562.5 K,加热速率为 13.5 K/ps。最终产物为 CO2、N2 和 CO,主要中间产物为 NO2、NO 和 N2O。通过小泽法得到的分解活化能为 142.4 kJ/mol。这项研究不仅为研究 DNTF 的性能提供了强有力的工具,也为其他高能材料提供了可行的方法,极大地推动了该领域的发展。
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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 Q1 ENERGY & FUELS Pub Date : 2024-11-10 DOI: 10.1016/j.energy.2024.133800
Zhoujie Wang , Songyan Li , Yaohui Wei , Faqiang Dang , Minghe Li
CO2 flooding in low-permeability and tight oil reservoirs often encounters gas channeling, which affects oil recovery. To address this, oil-based CO2 foam development is explored using a two-dimensional visual physical model. The study includes three experimental setups: CO2 flooding followed by oil-based CO2 foam flooding, CO2 Huff-n-Puff (HnP) followed by oil-based CO2 foam HnP, and oil-based CO2 foam HnP followed by oil-based CO2 foam flooding. Findings reveal that using oil-based CO2 foam after CO2 development increases recovery factors by 15.62 % and 35.86 % for HnP and flooding, respectively, and significantly boosts CO2 storage. The CO2 storage is 1.96 times and 6.03 times higher than the initial one. After oil-based CO2 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 CO2 foam method reduces residual oil saturation and extends production duration while decreasing gas production rates. This approach effectively plugs gas channels, enhancing CO2 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.
在低渗透和致密油藏中进行二氧化碳充注时,经常会遇到气体通道问题,从而影响石油采收率。为了解决这个问题,我们使用一个二维可视物理模型对基于石油的二氧化碳泡沫开发进行了探索。研究包括三个实验设置:先注入 CO2,再注入油基 CO2 泡沫;先注入 CO2 Huff-n-Puff (HnP),再注入油基 CO2 泡沫 HnP;先注入油基 CO2 泡沫 HnP,再注入油基 CO2 泡沫。研究结果表明,在二氧化碳开发后使用油基二氧化碳泡沫,HnP 和泡沫淹没的采收率分别提高了 15.62 % 和 35.86 %,并显著提高了二氧化碳的储存量。二氧化碳储量分别是初始储量的 1.96 倍和 6.03 倍。使用油基二氧化碳泡沫后,可视化模型出口附近的红色区域变浅,表明剩余油饱和度进一步降低。油基二氧化碳泡沫法降低了剩余油饱和度,延长了生产持续时间,同时降低了产气量。这种方法能有效堵塞气体通道,提高二氧化碳扫采效率、原油流动性和采收率。研究结果为油田开发提供了创新战略,支持碳封存并带来巨大的经济和环境效益。
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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 Q1 ENERGY & FUELS 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
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.
玻璃纤维因其高温隔热和抗辐射性能而备受推崇,是核电管道隔热的关键材料。然而,苛刻的运行条件往往会导致材料缺陷,这凸显了缺陷检测对能源效率和人员安全的重要性,而人工分割和分类缺陷可能会耗费大量时间并增加风险。因此,迫切需要一种实时、准确的检测方法。本研究收集了核电管道隔热玻璃纤维缺陷的红外图像,建立了数据集,并分析了其损伤机理。此外,还测试了各种流行的物体检测模型,发现 YOLOv8n 在速度性能和检测精度方面都有显著的改进潜力。通过集成 EMA 注意力块、将 FasterNet 块纳入主干网、将颈部层改装为细颈结构以及在 YOLOv8n 的头部实现 DyHead,我们改进的模型实现了最高的平均精度(mAP)分数,平均精度为 0.5:0.95 intersection over union (IoU) 为 57.6 %,0.5 IoU 为 86.8 %。
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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 Q1 ENERGY & FUELS Pub Date : 2024-11-09 DOI: 10.1016/j.energy.2024.133786
Halil Erdi Gülcan , Derviş Erol , Mehmet Çelik , Cihan Bayındırlı
In this study, the effects of adding different proportions of TiO2, Ag2O, and CeO2 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). TiO2, Ag2O, and CeO2 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 NOx 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 %).
本研究通过实验研究了在三缸水冷四冲程直喷式柴油发动机中添加不同比例的 TiO2、Ag2O 和 CeO2 纳米粒子对发动机性能和废气排放的影响。实验在四种不同的发动机负荷(10、20、30 和 40 牛米)和恒定的发动机转速(1800 转/分钟)下进行。在柴油中分别添加了浓度为 50 和 75 ppm 的 TiO2、Ag2O 和 CeO2 纳米粒子。研究中使用的测试燃料如下:D100、DTi50、DTi75、DAg50、DAg75、DCe50 和 DCe75。利用实验结果,对能量、放能、可持续性、温室气体(GHG)排放影响和成本进行了分析。实验结果表明,在柴油中使用纳米颗粒可降低 BSFC。DTi75 燃料的 BSFC 降低幅度最大,平均为 9%。此外,与 D100 燃料相比,DTi75 燃料的氮氧化物排放量平均增加了 19%,而烟雾排放量平均减少了 30%。与 D100 燃料相比,DAg50 燃料的放能效平均增幅最高(5.6%),其次是 DTi75 燃料(5.3%)。在柴油中添加纳米颗粒也会导致温室气体排放量的增加。与 D100 燃料相比,DTi75 燃料对温室气体排放增加的平均贡献率最高(12%),而 DAg50 燃料的平均贡献率最低(4%)。
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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 Q1 ENERGY & FUELS Pub Date : 2024-11-09 DOI: 10.1016/j.energy.2024.133707
Zejian Ai , Song Luo , Zhengyong Xu , Jianbing Cao , Lijian Leng , Hailong Li
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 R2 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 R2 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 R2 of 0.98, indicating the great potential of using ML for biochar engineering.
生物质经热解和活化产生的生物炭是一种平台多孔碳材料,已被广泛应用于许多领域。生物炭的孔隙率特性,如比表面积(SSA)、总孔体积(Total_PV)、微孔体积(Micro_PV)、中孔体积(Mes_PV)和平均孔径(Average_PS)对生物炭的应用至关重要。虽然以前的机器学习(ML)模型可以精确预测 SSA 和总孔隙率,但这些模型无法全面预测其他孔隙率特征。更重要的是,活化是制备高孔隙率生物炭的关键过程,但以往的研究一般都没有考虑到这一点。在此,首先根据热解& 和活化条件建立了六个单目标模型,用于预测 SSA、Total_PV、Micro_PV、Meso_PV、Average_PS 和产量,测试 R2 分别为 0.89、0.86、0.88、0.89、0.76 和 0.91。然后,建立了一个多目标同时预测模型,平均测试 R2 为 0.87。多目标模型解释表明,药剂类型和比例对孔隙率特性至关重要。最后,根据 ML 模型得出了活化和直接热解生物炭生产的最佳方案,以获得高孔隙率。实验验证结果良好,验证 R2 为 0.98,表明使用 ML 进行生物炭工程具有巨大潜力。
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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 Q1 ENERGY & FUELS 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
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.
抽水蓄热-液态空气储能(PTLAES)是一种新型储能技术,它将抽水蓄热和液态空气储能结合在一起,无需冷库。然而,现有关于该系统的研究都是基于稳态假设,缺乏动态分析和优化,无法更好地了解系统在循环运行下的性能。为了填补这一空白,我们首先开发了带填料床热能储存(TES)的 PTLAES 系统的主体线性化循环动态模型。然后,研究了基线系统的动态特性。对 TES 参数进行了敏感性分析。观察到所有参数在相关范围内的平准化储能成本(LCOS)均为最小值。随后,对 TES 电路进行了优化,实现了提高效率和能量密度、稳定放电和降低成本的三重改进。优化系统的往返效率和能量密度分别从 61.7% 和 141.9 kWh/m³ 提高到 63.1% 和 159.2 kWh/m³,LCOS 从 163.2 美元/MWh 降至 159.4 美元/MWh。功率偏移比低于 3%,是文献报道的最低值。这项研究为 PTLAES 系统今后的设计和运行提供了参考。
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引用次数: 0
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Energy
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