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Influence of solar field size on the multi-objective techno-economic optimisation of a Carnot battery application in a parabolic trough concentrating solar power plant 太阳场大小对抛物槽式聚光太阳能发电站卡诺电池应用多目标技术经济优化的影响
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-10 DOI: 10.1016/j.seta.2024.103984
L.G. Redelinghuys, C. McGregor
<div><div>This research extends our previous work by investigating the critical influence of the solar field size, quantified through the solar multiple (SM), on the multi-objective optimisation (MOO) of concentrating solar power (CSP) Carnot battery applications. The levelised costs of electricity and storage (LCOE and LCOS) and the capacity factor (CF) are our objective functions. Design variables are the thermal energy storage (TES) and heater capacities and the solar multiple (SM) for solar field size. Our main findings show that: (1) higher SMs decrease the trade-off between LCOE and LCOS; (2) For smaller SMs, Pareto-optimal TES and heater capacities have a one-to-one pairing and correlate positively. For higher SMs, one TES capacity can be paired with multiple heater capacities for Pareto optimality; (3) Regardless of the SM, higher TES capacities are paired with a single, higher heater capacity for Pareto optimality; (4) All Pareto-optimal solutions lie on the boundary of the LCOE-based graphical solution method with high accuracy, providing MOO estimates especially for lower SMs; (6) Pareto-optimal design ranges are: <span><math><mrow><mn>0</mn><mo>≤</mo><msubsup><mrow><mi>H</mi></mrow><mrow><mtext>cap</mtext></mrow><mrow><mo>∗</mo></mrow></msubsup><mo>≤</mo><mn>500</mn></mrow></math></span> MW (all SMs), <span><math><mrow><mn>1</mn><mo>.</mo><mn>6</mn><mo>≤</mo><msubsup><mrow><mi>t</mi></mrow><mrow><mtext>TES</mtext></mrow><mrow><mo>∗</mo></mrow></msubsup><mo>≤</mo><mn>17</mn><mo>.</mo><mn>5</mn></mrow></math></span> h (<span><math><mrow><mi>SM</mi><mo>=</mo><mn>2</mn></mrow></math></span>), <span><math><mrow><mn>3</mn><mo>.</mo><mn>4</mn><mo>≤</mo><msubsup><mrow><mi>t</mi></mrow><mrow><mtext>TES</mtext></mrow><mrow><mo>∗</mo></mrow></msubsup><mo>≤</mo><mn>20</mn></mrow></math></span> h (<span><math><mrow><mi>SM</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>6</mn></mrow></math></span>), <span><math><mrow><mn>5</mn><mo>.</mo><mn>9</mn><mo>≤</mo><msubsup><mrow><mi>t</mi></mrow><mrow><mtext>TES</mtext></mrow><mrow><mo>∗</mo></mrow></msubsup><mo>≤</mo><mn>20</mn></mrow></math></span> h (<span><math><mrow><mi>SM</mi><mo>=</mo><mn>3</mn></mrow></math></span>), <span><math><mrow><mn>10</mn><mo>.</mo><mn>5</mn><mo>≤</mo><msubsup><mrow><mi>t</mi></mrow><mrow><mtext>TES</mtext></mrow><mrow><mo>∗</mo></mrow></msubsup><mo>≤</mo><mn>20</mn></mrow></math></span> h (<span><math><mrow><mi>SM</mi><mo>=</mo><mn>4</mn></mrow></math></span>); (7) Utopian results are: <span><math><mrow><msub><mrow><mi>LCOE</mi></mrow><mrow><mi>U</mi></mrow></msub><mrow><mo>(</mo><msup><mrow><mi>SM</mi></mrow><mrow><mo>∗</mo></mrow></msup><mo>=</mo><mn>3</mn><mo>,</mo><msubsup><mrow><mi>t</mi></mrow><mrow><mtext>TES</mtext></mrow><mrow><mo>∗</mo></mrow></msubsup><mo>=</mo><mn>5</mn><mo>.</mo><mn>9</mn><mspace></mspace><mtext>h</mtext><mo>,</mo><msubsup><mrow><mi>H</mi></mrow><mrow><mtext>cap</mtext></mrow><mrow><mo>∗</mo></mrow></msubsup><mo>=</mo><mn>0</mn><mspace></mspace><mtext>MW
这项研究扩展了我们之前的工作,研究了通过太阳倍率(SM)量化的太阳场大小对聚光太阳能(CSP)卡诺电池应用的多目标优化(MOO)的关键影响。电力和储能的平准化成本(LCOE 和 LCOS)以及容量因子(CF)是我们的目标函数。设计变量包括热能储存(TES)和加热器容量,以及太阳能发电场规模的太阳能倍数(SM)。我们的主要研究结果表明(1) 较高的 SM 会降低 LCOE 和 LCOS 之间的权衡;(2) 对于较小的 SM,帕累托最优 TES 和加热器容量具有一对一的配对关系,并呈正相关。对于较高的 SM,一个 TES 容量可与多个加热器容量配对,以实现帕累托最优;(3) 无论 SM 如何,较高的 TES 容量与一个较高的加热器容量配对,以实现帕累托最优;(4) 所有帕累托最优解都位于基于 LCOE 的图形求解方法的边界上,且精确度高,特别是对于较低的 SM,可提供 MOO 估计值;(6) 帕累托最优设计范围为:0≤Hcap∗≤500µm;(7) 帕累托最优设计范围为:0≤Hcap∗≤500µm:0≤Hcap∗≤500 MW(所有 SM),1.6≤tTES∗≤17.5 h(SM=2),3.4≤tTES∗≤20 h(SM=2.6),5.9≤tTES∗≤20 h(SM=3),10.5≤tTES∗≤20 h(SM=4);(7)乌托邦结果为:LCOEU(SM∗=2.6)LCOEU(SM∗=3,tTES∗=5.9h,Hcap∗=0MW)=10.71 ¢/kWh,LCOSU(SM∗=4,tTES∗=8.8h,Hcap∗=119MW)=20.57 ¢/kWh,CFU(SM∗=4,tTES∗=20h,Hcap∗=500MW)=92.8 %。
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Our main findings show that: (1) higher SMs decrease the trade-off between LCOE and LCOS; (2) For smaller SMs, Pareto-optimal TES and heater capacities have a one-to-one pairing and correlate positively. For higher SMs, one TES capacity can be paired with multiple heater capacities for Pareto optimality; (3) Regardless of the SM, higher TES capacities are paired with a single, higher heater capacity for Pareto optimality; (4) All Pareto-optimal solutions lie on the boundary of the LCOE-based graphical solution method with high accuracy, providing MOO estimates especially for lower SMs; (6) Pareto-optimal design ranges are: &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mtext&gt;cap&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;∗&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;500&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; MW (all SMs), &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mtext&gt;TES&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;∗&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;17&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; h (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;SM&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mtext&gt;TES&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;∗&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; h (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;SM&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mtext&gt;TES&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;∗&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; h (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;SM&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mtext&gt;TES&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;∗&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mo&gt;≤&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; h (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;SM&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;); (7) Utopian results are: &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;LCOE&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;U&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;SM&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;∗&lt;/mo&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mtext&gt;TES&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;∗&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mtext&gt;h&lt;/mtext&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mtext&gt;cap&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;∗&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mtext&gt;MW","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 103984"},"PeriodicalIF":7.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
MCAT algorithm for coordinated voltage instability preventive control in smart grids 用于智能电网中协调电压不稳定预防控制的 MCAT 算法
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-07 DOI: 10.1016/j.seta.2024.104003
Khaled Alzaareer , Qusay Salem , Claude Ziad El-Bayeh , Mohamed Zellagui , Maarouf Saad
The necessity for coordinated Voltage Instability Preventive Control (VIPC) is crucial for modern power networks hosting large-scale Renewable Energy Sources (RESs). The RESs can create voltage instability due to their output power fluctuation, their rapid-response devices, as well as the operational conflicts with conventional Preventive Controls (PCs). This work proposes a novel Multi-Criteria Accumulating and Testing algorithm, namely MCAT, for coordinated VIPC in smart grids. The algorithm mainly involves five modules: Voltage Stability Assessment (VSA), Impact Factor (IF), Control Ranking Index (CRI), Accumulation Strategy (AS), and Testing Strategy (TS) modules. First, system Voltage Stability Margin (VSM) is estimated using VSA module. The IF module is then used to reflect the dependencies between PCs and bus VSMs. The CRI module is used to rank the PCs according to a set of operational and economic criteria. The CRI module is mainly based on a Multi-Criteria Decision-Making (MCDM) strategy. The CRI results are implemented into AS module to sequentially identify the global group of control variables to simultaneously eliminate the impact of all system contingencies. Finally, the AS results are tested using TS module to remove any useless PCs. The proposed algorithm was tested and validated on the IEEE 118-bus system. The results show that MCAT algorithm was able to select only the most effective and the cheapest PCs for VIPC with an objective to eliminate all system contingencies with no useless controls.
协调一致的电压不稳预防控制(VIPC)对于容纳大规模可再生能源(RES)的现代电网至关重要。由于可再生能源的输出功率波动、快速反应设备以及与传统预防控制(PC)的运行冲突,可再生能源会造成电压不稳定。本研究针对智能电网中的协调 VIPC 提出了一种新颖的多标准累积和测试算法,即 MCAT。该算法主要包括五个模块:电压稳定评估 (VSA)、影响因子 (IF)、控制排名指数 (CRI)、积累策略 (AS) 和测试策略 (TS) 模块。首先,使用 VSA 模块估算系统电压稳定裕度 (VSM)。然后使用 IF 模块反映 PC 与总线 VSM 之间的依赖关系。CRI 模块用于根据一系列运行和经济标准对 PC 进行排序。CRI 模块主要基于多标准决策(MCDM)策略。将 CRI 结果应用于 AS 模块,以按顺序确定全局控制变量组,从而同时消除所有系统突发事件的影响。最后,使用 TS 模块对 AS 结果进行测试,以去除任何无用的 PC。提议的算法在 IEEE 118 总线系统上进行了测试和验证。结果表明,MCAT 算法仅能为 VIPC 选择最有效、最便宜的 PC,其目标是消除所有系统突发事件,不使用无用控制。
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引用次数: 0
Integrated resource strategic planning considering inter-regional flexibility supply–demand balance: A case study for the Northwest and Central Grid in China 考虑区域间灵活性供需平衡的综合资源战略规划:中国西北和华中电网案例研究
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-05 DOI: 10.1016/j.seta.2024.104019
Jiahai Yuan , Qilin Mou , Ke Du , Baodi Ding , Yuxuan Zhang , Zifeng Wu , Kai Zhang , Haonan Zhang
China’s rapid advancement in renewable energy and regional power grid interconnection has highlighted the need for enhanced system flexibility to ensure the security and stability of regional power systems. To address this issue, this study presents a new framework for integrated resource strategic planning for inter-regional flexibility (IRSP-IF). This framework evaluates inter-regional flexibility demand and optimizes power resource allocation across regions. The northwest and central grids in China are used as case studies to evaluate inter-regional power resource allocation from 2022 to 2035. This analysis considers key factors including flexibility supply–demand balance constraints, regional power grid interconnections, and time scales for assessing flexibility demand. The results show that incorporating these constraints and interconnections into the strategic power plan enables greater integration of renewable energy while reducing both installed capacity and the overall cost of regional power resources. In the S3 scenario, which includes inter-regional flexibility supply–demand balance, the total integration of wind and solar power increases by 1.54%. Additionally, the combined average annual fixed and operating costs decrease by 1.44 billion yuan compared to the S2 scenario, which only considers single-region flexibility supply–demand balance. Furthermore, evaluating flexibility demand at a shorter time scale results in a higher proportion of flexible resources, with an average annual growth of 24.43%.
中国在可再生能源和区域电网互联方面的快速发展凸显了增强系统灵活性以确保区域电力系统安全性和稳定性的必要性。为解决这一问题,本研究提出了一个新的区域间灵活性综合资源战略规划框架(IRSP-IF)。该框架可评估跨区灵活性需求,优化跨区电力资源配置。研究以中国西北电网和华中电网为例,评估了 2022 年至 2035 年的跨区电力资源配置情况。该分析考虑了包括灵活性供需平衡约束、区域电网互联和灵活性需求评估时间尺度在内的关键因素。结果表明,将这些限制和互联纳入战略电力计划,可在降低装机容量和地区电力资源总体成本的同时,实现更大程度的可再生能源整合。在包含区域间灵活性供需平衡的 S3 情景中,风能和太阳能发电的总集成量增加了 1.54%。此外,与只考虑单区域灵活性供需平衡的 S2 情景相比,年平均固定成本和运营成本合计减少了 14.4 亿元。此外,在更短的时间尺度上评估灵活性需求可提高灵活性资源的比例,年均增长率为 24.43%。
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引用次数: 0
Thermo-electric behavior analysis and coupled model characterization of 21,700 cylindrical ternary lithium batteries affected by cyclic aging 受循环老化影响的 21,700 块圆柱形三元锂电池的热电行为分析和耦合模型表征
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-05 DOI: 10.1016/j.seta.2024.104013
Haopeng Chen , Tianshi Zhang , Qing Gao , Haizhen Huang
In order to achieve a balance between the precision of thermal behavior simulation of lithium batteries affected by cyclic aging and the practicality of engineering popularization and application, a simple degraded battery thermal model needs to be constructed. In this article, a characterization approach for the coupled battery thermo-electric model affected by cyclic aging is designed. This method is suitable for simulating the thermal behavior of lithium degraded batteries with different materials and shapes under different environmental temperatures. This paper introduces the idea by taking the 21,700 cylindrical ternary lithium batteries as an example. Firstly, based on the interaction mechanism between the growth of the solid electrolyte interface film on the battery negative electrode surface at the microscopic level and the battery thermoelectric coupling characteristics at the macro level, the paper constructs a theoretical model of the degraded battery. Further, it conducts experiments to analyze the battery charging and discharging behaviors in the process of cyclic aging. Based on experimental data, this paper conducts multiple fitting calculations to extract essential modeling parameters. Subsequently, this paper builds the battery physical model in the simulation software based on the above modeling parameters. It applies the battery physical model to simulate the thermal characteristics and temperature field. Then, it conducts experiments to demonstrate the precision of the model. This paper uses the infrared imaging technique to visualize and analyze temperature field variations on the battery surface. And it uses thermocouple temperature sensors to capture the battery surface temperature changes. The simulation results are compared with the experimental data, the errors are less than 5 %. Compared with other existing battery thermal models, the model of this paper is more suitable for engineering popularization and application of thermal behavior simulation of lithium batteries affected by cyclic aging.
为了实现受循环老化影响的锂电池热行为模拟的精确性与工程推广应用的实用性之间的平衡,需要构建一个简单的退化电池热模型。本文设计了一种受循环老化影响的电池热电耦合模型的表征方法。该方法适用于模拟不同材料和形状的降解锂电池在不同环境温度下的热行为。本文以 21700 块圆柱形三元锂电池为例,介绍了这一思路。首先,本文基于电池负极表面固体电解质界面膜生长在微观层面上与电池热电耦合特性在宏观层面上的相互作用机理,构建了降解电池的理论模型。此外,本文还通过实验分析了电池在循环老化过程中的充放电行为。根据实验数据,本文进行了多次拟合计算,以提取重要的建模参数。随后,本文根据上述建模参数在仿真软件中建立了电池物理模型。应用电池物理模型模拟热特性和温度场。然后,本文通过实验证明了模型的精确性。本文使用红外成像技术对电池表面的温度场变化进行可视化分析。并使用热电偶温度传感器捕捉电池表面温度变化。模拟结果与实验数据进行比较,误差小于 5%。与现有的其他电池热模型相比,本文的模型更适用于受循环老化影响的锂电池热行为模拟的工程推广和应用。
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引用次数: 0
Smart grid and application of big data: Opportunities and challenges 智能电网和大数据应用:机遇与挑战
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-04 DOI: 10.1016/j.seta.2024.104011
Asit Mohanty , A.K. Ramasamy , Renuga Verayiah , Satabdi Bastia , Sarthak Swaroop Dash , Manzoore Elahi M. Soudagar , T.M. Yunus Khan , Erdem Cuce
The rapid technological advancements in the electrical energy sector are generating a significant volume of data that profoundly influences the operations of system operators, grid users, and GENCOs. In this context, Big Data emerges as a valuable tool for state estimation, addressing control issues, facilitating forecasting, and enhancing the involvement of various market agents and players in the energy sector. Intelligent or smart devices, utilizing information and communication technologies, oversee and manage equipment across the entire energy generation to utilization spectrum. To earn the distinction of being “intelligent or smart,” substantial data exchange occurs between grid instruments and project or business entities. This exchange of information, tailored to consumption and application needs, facilitates cost-effective optimized bidirectional power flow between power plants and end-use customers. For the effective control, monitoring, and coordination of smart appliances within a smart grid subsystem; the exchange of data is indispensable. Energy companies, however, confront challenges in efficiently managing vast amounts of data. The optimal and apt implementation of smart-grid big data analytics becomes imperative to successfully navigate and address these challenges. This work sheds light on the execution and utilization of BDA (Big Data Analysis) in the smart grid. The advantages, challenges, and consequences of implementing these techniques; and strategies for the computation and transmission of data are proposed here.
电力能源行业技术的飞速发展产生了大量数据,对系统运营商、电网用户和发电公司的运营产生了深远影响。在此背景下,大数据成为状态估算、解决控制问题、促进预测以及加强能源行业各种市场代理和参与者参与的重要工具。智能或智慧设备利用信息和通信技术,监督和管理整个能源生产和利用过程中的设备。为了获得 "智能或智慧 "的殊荣,电网设备与项目或商业实体之间需要进行大量的数据交换。这种根据消费和应用需求量身定制的信息交换,促进了发电厂和终端用户之间具有成本效益的优化双向电力流动。为了有效控制、监测和协调智能电网子系统中的智能设备,数据交换是必不可少的。然而,能源公司在有效管理海量数据方面面临挑战。要成功驾驭和应对这些挑战,就必须优化和恰当地实施智能电网大数据分析。这项工作揭示了智能电网中 BDA(大数据分析)的执行和利用。本文提出了实施这些技术的优势、挑战和后果,以及计算和传输数据的策略。
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引用次数: 0
Real-world assessment of the energy consumption and emissions performance of a novel diesel-electric dual-drive locomotive 新型柴油-电力双驱动机车能耗和排放性能的实际评估
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-04 DOI: 10.1016/j.seta.2024.104017
Patryk Urbański , Yuhan Huang , Dawid Gallas , John L. Zhou , Jerzy Merkisz
The huge demands for better energy efficiency and cleaner air from the public have driven governments to implement increasingly stricter emission standards. However, their implementation was not conducted uniformly among transport sectors. While road vehicles are now tested both in laboratory and real-world, rail vehicles are still only required to be tested in stationary conditions that have been shown to poorly reflect their real operation conditions. Therefore, this study aimed to assess the performance of a novel diesel-electric dual-drive locomotive in real-driving conditions. Significant variations were found for the tested locomotive in terms of both the share of idling time and the share of time the engine operated beyond the type-approval tests. The tested locomotive spent a similar share of time idling (24 %) as at its intended speed (60–90 km/h). It was found that 37 % of the particulate matter emissions were released during stops. Reducing the amount of time when the vehicle was accelerating at more than 0.5 m/s2, especially at speeds over 60 km/h, could reduce 50 % carbon monoxide emissions and 40 % hydrocarbon emissions. The findings suggest that incorporating the practice of eco-driving should be considered to significantly reduce the pollutant emissions from the railway sector.
公众对更高能效和更清洁空气的巨大需求促使各国政府实施越来越严格的排放标准。然而,这些标准在各运输部门的执行情况并不一致。目前,公路车辆既要进行实验室测试,也要进行实际测试,而铁路车辆仍然只需在静止条件下进行测试,这已被证明不能很好地反映车辆的实际运行状况。因此,本研究旨在评估新型柴油-电力双驱动机车在实际驾驶条件下的性能。测试机车的怠速时间比例和发动机运行时间比例均超出了型式批准测试的要求,这两方面均存在显著差异。测试机车的怠速时间比例(24%)与预定速度(60-90 km/h)相近。结果发现,37% 的颗粒物排放是在停车时释放的。减少车辆加速超过 0.5 米/秒2 的时间,尤其是时速超过 60 公里时,可以减少 50% 的一氧化碳排放和 40% 的碳氢化合物排放。研究结果表明,应考虑采用生态驾驶的做法,以大幅减少铁路部门的污染物排放。
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引用次数: 0
A new strategy for reducing pressure fluctuation of Francis turbine by bionic modification of local components 通过仿生改造局部组件减少混流式涡轮机压力波动的新策略
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-04 DOI: 10.1016/j.seta.2024.104014
Jiafu Yang , Xiu Wang , Jun-Xian Pei, Yan Yan, Wen-Quan Wang
Long term operation of hydroelectric units in low load conditions can induce large-scale blade vortices, swirling vortex ropes in the draft tube, and low-frequency high amplitude pressure fluctuation. These phenomena will cause adverse consequences such as excessive vibration of the unit and blade breakage of the runner. Taking inspiration from the protuberances of the leading edge of a humped whale flipper, the present study firstly proposes bionic modifications of guide vanes and draft tube to suppress high-amplitude pressure fluctuations for Francis turbine. Numerical simulations of transient flow characteristics of the prototype unit (PU), the bionic guide vane unit (BG), and the bionic draft tube unit (BDG) under two low load conditions are conducted. Results indicated that the bionic draft tube has a good effect on suppressing pressure fluctuations in the vaneless area and draft tube. Under the Q/QBEF = 0.41 working condition, BDG causes the main frequency amplitude of pressure fluctuation at the center point of the draft tube inlet to change from 8000.2 Pa to 390.9 Pa, a decrease of 95.11 %. Under the Q/QBEF = 0.57 working condition, BDG causes the maximum decrease rate of the main frequency amplitude in the draft tube to be 60.5 %. The reducing effect in BDG of monitoring points in the guide vane area has reached over 43 %. Under low load conditions, the vortices near the wall in the draft tube of BDG are intercepted by bionic structures, reducing the vortex scale and helping to prevent the generation of large swirling vortex ropes. The bionic guide vanes have a significant control effect on pressure pulsation in the the guide vane and vaneless regions, although perform poorly in the draft tube.
水电机组在低负荷条件下长期运行会产生大规模叶片涡流、引水管中的漩涡绳和低频高幅压力波动。这些现象会导致机组过度振动和转轮叶片断裂等不良后果。本研究从驼峰鲸鳍前缘的突起中汲取灵感,首先提出对导叶和牵伸管进行仿生改造,以抑制混流式水轮机的高振幅压力波动。对原型机组(PU)、仿生导叶机组(BG)和仿生牵伸管机组(BDG)在两种低负荷条件下的瞬态流动特性进行了数值模拟。结果表明,仿生牵伸管对抑制无叶片区和牵伸管内的压力波动有很好的效果。在 Q/QBEF = 0.41 的工况下,BDG 使牵伸管入口中心点压力波动的主频幅值从 8000.2 Pa 变为 390.9 Pa,下降了 95.11 %。在 Q/QBEF = 0.57 的工况下,BDG 使牵伸管内主频振幅的最大下降率为 60.5 %。导叶区域监测点的 BDG 降低效果超过 43%。在低负荷条件下,BDG 牵伸管内靠近管壁的涡流被仿生结构拦截,从而减小了涡流尺度,有助于防止产生大的漩涡绳。仿生导向叶片对导向叶片和无叶片区域的压力脉动具有显著的控制效果,但在牵伸管中表现较差。
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引用次数: 0
Research on photovoltaic water pumping system based on valve opening model 基于阀门开启模型的光伏水泵系统研究
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-03 DOI: 10.1016/j.seta.2024.104016
Hang Zhao , Delan Zhu , Nazarov Khudayberdi , Changxin Liu
Photovoltaic water pumping system (PVWPS) is an important way to use solar energy. In order to further improve the solar energy utilization rate of PVWPS, this study proposes a valve opening model, which solves the problem of more solar energy waste caused by fixed pipeline characteristics under different irradiation intensities. Firstly, the theoretical calculation formula of pipeline flow is deduced according to the balance relationship between photovoltaic energy supply and energy demand of water lifting pipeline in PVWPS, and its working principle is expounded. Finally, the function model of pipeline flow-valve opening-radiation intensity is derived from the cycle test of PVWPS, and the PVWPS with water lifting height of 10 m, 12 m and 14 m is verified by all-day test. Compared with the unregulated valve, the cumulative water extraction of the PVWPS with three water lifting heights after valve regulation is increased by 15.85 %, 18.06 % and 80.71 % respectively, indicating that the cumulative water extraction of the PVWPS can be effectively improved by adjusting the valve opening. This study provides a new idea for improving the utilization rate of solar energy in PVWPS.
光伏水泵系统(PVWPS)是利用太阳能的一种重要方式。为了进一步提高 PVWPS 的太阳能利用率,本研究提出了一种开阀模型,解决了不同辐照强度下固定管路特性造成太阳能浪费较多的问题。首先,根据 PVWPS 中光伏供能与提水管道需能的平衡关系,推导出管道流量的理论计算公式,并阐述了其工作原理。最后,根据 PVWPS 的循环试验推导出管道流量-阀门开度-辐射强度的函数模型,并对提水高度分别为 10 米、12 米和 14 米的 PVWPS 进行了全天候试验验证。与未调节阀门相比,调节阀门后三种扬水高度的 PVWPS 的累计取水量分别提高了 15.85 %、18.06 % 和 80.71 %,表明通过调节阀门开度可有效提高 PVWPS 的累计取水量。该研究为提高 PVWPS 太阳能利用率提供了新思路。
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引用次数: 0
Retraction notice to “Robust bidding strategy of interconnected multi-carrier systems in the electricity markets under the uncertainty in electricity load” [Sustain. Energy Technol. Assessm. 57 (2023) 103245] 关于 "电力负荷不确定情况下电力市场中互联多载波系统的稳健竞价策略 "的撤稿通知 [Sustain. Energy Technol. Assessm.
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-02 DOI: 10.1016/j.seta.2024.104015
Zhouding Liu , Morteza Nazari-Heris
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引用次数: 0
Integrating solid oxide electrolysis cells and H2-O2 combustion for low-emission high-temperature heating with heat pump in the chemical industry 将固体氧化物电解槽与 H2-O2 燃烧相结合,在化工行业利用热泵进行低排放高温加热
IF 7.1 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-02 DOI: 10.1016/j.seta.2024.104010
Shuhao Zhang, Nan Zhang
Low-emission high-temperature heating could be achieved by exploiting electrical heating, clean fuel, or carbon capture. However, it is difficult to replace current coal or natural gas furnaces in some places because the high-temperature thermal demand needs combustion. In the present work, the green hydrogen production process by solid oxide electrolysis cells (SOEC) and H2-O2 combustion is integrated into ethylene production. The working conditions of electrolyzer and furnace are analyzed. The SOEC should work over 800°C to keep endothermic state no matter the current density. To produce the hydrogen of 80 MW heat value, the electric consumption is at least 69.4 MW. With the high-temperature waste heat of 7.76 MW, an additional 3 MW power is required for water electrolysis. The heat released during condensation of combustion products is 30.52 MW, much higher than 13.19 MW from SOEC products. Therefore, the heat pump is necessary to recycle the waste heat of water condensation and generate steam as the electrolysis ingredient and cooling medium, which saves 63 % of energy. Although the total energy consumption increases by 11.23 % from 80.23 MW to 89.24 MW, the CO2 emission drops by 84.28 %.
可以通过利用电加热、清洁燃料或碳捕获来实现低排放高温加热。然而,由于高温热需求需要燃烧,在一些地方很难取代目前的煤炉或天然气炉。本研究将固体氧化物电解槽(SOEC)和 H2-O2 燃烧的绿色制氢工艺与乙烯生产相结合。分析了电解槽和电炉的工作条件。无论电流密度如何,固体氧化物电解槽都应在 800°C 以上工作,以保持内热状态。要生产 80 兆瓦热值的氢气,电力消耗至少为 69.4 兆瓦。加上 7.76 兆瓦的高温废热,水电解还需要额外的 3 兆瓦电力。燃烧产物冷凝时释放的热量为 30.52 兆瓦,远高于 SOEC 产物释放的 13.19 兆瓦。因此,有必要使用热泵来回收水冷凝的废热,并产生蒸汽作为电解成分和冷却介质,这样可以节省 63% 的能源。虽然总能耗从 80.23 兆瓦增加到 89.24 兆瓦,增加了 11.23%,但二氧化碳排放量却减少了 84.28%。
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Sustainable Energy Technologies and Assessments
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