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Measurement of the macro-efficiency of hydropower plants in Nigeria using transfer functions and data envelopment analysis 利用传递函数和数据包络分析法衡量尼日利亚水电站的宏观效率
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-12 DOI: 10.1016/j.renene.2024.121902
Stephen A. Takim , Chidozie Chukwuemeka Nwobi-Okoye
Persistent power challenges plague Nigeria, with hydropower constituting a vital component of the country's energy mix. This study assessed the macro efficiency of three operational hydropower plants in Nigeria using three distinct methods: Constant Return to Scale Method of Data Envelopment Analysis (DEA-CRS), Input-oriented Variable Return to Scale Method of Data Envelopment Analysis (DEA-VRS), and System's Coefficient of Performance Methodology (SCOPM) employing transfer functions. Input factors included man-hours, plant capacity, and water flow, while energy generation was the output. DEA-VRS revealed Shiroro and Jebba as the most efficient, while Kainji was the least. DEA-CRS indicated Shiroro as the most efficient and Kainji as the least. SCOPM indicated Jebba as the most efficient and Shiroro as the least. SCOPM's higher standard deviation suggests better discrimination among plants. DEA-VRS result showed that the scale of the biggest power plant, Kainji, has some effects on its efficiency. The study recommends the adoption of SCOPM by electricity utility operators and regulators for performance improvement due to its robust results. The contributions of the research are significant because of the novel application of DEA and SCOPM to measure the efficiency of power plants in Nigeria, and SCOPM for measurement of macro efficiency of power plants.
持续的电力挑战困扰着尼日利亚,而水电是该国能源组合的重要组成部分。本研究采用三种不同的方法评估了尼日利亚三家运营中水电站的宏观效率:数据包络分析的恒定规模收益法(DEA-CRS)、数据包络分析的输入导向可变规模收益法(DEA-VRS)以及采用转移函数的系统性能系数法(SCOPM)。输入因素包括工时、工厂产能和水流量,而发电量则是输出。DEA-VRS 表明 Shiroro 和 Jebba 的效率最高,而 Kainji 的效率最低。DEA-CRS 表明 Shiroro 效率最高,而 Kainji 效率最低。SCOPM 表明 Jebba 效率最高,Shiroro 效率最低。SCOPM 的标准偏差较高,表明工厂之间的区分度更高。DEA-VRS 结果显示,最大发电厂 Kainji 的规模对其效率有一定影响。由于 SCOPM 结果稳健,研究建议电力运营商和监管机构采用 SCOPM 提高绩效。这项研究的重要贡献在于,它以新颖的方式将 DEA 和 SCOPM 应用于衡量尼日利亚发电厂的效率,并将 SCOPM 应用于衡量发电厂的宏观效率。
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引用次数: 0
Effects of electric vehicles on energy sharing for optimal sizing of solar PV and battery energy storage 电动汽车对能源共享的影响,以优化太阳能光伏发电和电池储能的规模
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-12 DOI: 10.1016/j.renene.2024.121862
Siraj Khanal , Rahmat Khezri , Amin Mahmoudi , Solmaz Kahourzadeh , Hirohisa Aki
Energy sharing for homes with electric vehicles (EVs) enhances sustainability by optimizing energy usage, reducing peak demand, and integrating renewable energy sources, thereby lowering costs and improving energy resilience. This study investigates the effects of EVs on optimal sizing problem of solar photovoltaic (SPV) and battery energy storage system (BESS) for grid-tied homes which participate in energy sharing schemes. In this paper, it is assumed that the energy is shared between two homes: home-1 as the prosumer which has an EV and intends to buy SPV and BESS, and house-2 which is a consumer. The optimization problem is formulated to achieve the minimum cost of electricity (COE) for home-1 and to reduce the COE for home-2 while taking consideration of the design constraints over the project lifespan. A rule-based energy management system is developed for different sets of configurations to compare the economic and operational results. The optimization is done by incorporating realistic annual data of the irradiance, temperature, load, and uncertainties of EV. The developed optimization technique is general in nature and can be used for any grid tied homes willing to share the electricity. Sensitivity analyses on costs of SPV-BESS, home energy demand, and grid export constraints are provided. Uncertainty analyses investigates the price of energy sharing and solar PV generation. The impact of various EV models with their respective battery capacity is also analyzed. The results show that the proposed energy-sharing methodology reduces the COE for prosumer and consumer by 1.2 ¢/kWh and 3.6 ¢/kWh, respectively.
使用电动汽车(EV)的家庭能源共享可通过优化能源使用、减少峰值需求和整合可再生能源来提高可持续性,从而降低成本并提高能源弹性。本研究探讨了电动汽车对参与能源共享计划的并网住宅的太阳能光伏发电系统(SPV)和电池储能系统(BESS)的优化选型问题的影响。本文假设两个家庭共享能源:家庭 1 是拥有电动汽车并打算购买 SPV 和 BESS 的专业消费者,家庭 2 是消费者。优化问题的目的是使住宅-1 的电力成本(COE)最小,并降低住宅-2 的 COE,同时考虑到项目生命周期内的设计限制。针对不同的配置开发了基于规则的能源管理系统,以比较经济和运行结果。优化是通过将辐照度、温度、负荷和电动汽车的不确定性等实际年度数据纳入其中来完成的。所开发的优化技术具有通用性,可用于任何愿意共享电力的并网家庭。对 SPV-BESS 的成本、家庭能源需求和电网出口限制进行了敏感性分析。不确定性分析调查了能源共享和太阳能光伏发电的价格。此外,还分析了不同电动汽车型号及其各自电池容量的影响。结果表明,所提出的能源共享方法使消费者和消费者的 COE 分别降低了 1.2 ¢/kWh 和 3.6 ¢/kWh。
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引用次数: 0
Experimental study and sensitivity analysis of performance for a hydrogen diaphragm compressor 氢气隔膜压缩机性能的实验研究和敏感性分析
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-12 DOI: 10.1016/j.renene.2024.121871
Yaling Zhao , Bin Zhao , Yanchen Yao , Xiaohan Jia , Xueyuan Peng
As the critical infrastructure of hydrogen in transportation, the energy consumption of hydrogen refuelling stations plays a pivotal role in the progress of hydrogen energy within the transportation sector. Volumetric and isentropic efficiencies serve as metrics for evaluating compressor performance. To investigate the extent of factors, including suction pressure, pressure ratio, overflow pressure, and rotational speed, to the efficiencies of the diaphragm compressor, an experimental rig was set up in this study. The volume and energy losses were analysed by studying pressure–volume diagrams. The result shows that elevating suction pressure results in an increased isentropic efficiency. Specifically, raising suction pressure from 0.2 MPa to 0.8 MPa yields a 10.2 % increase in isentropic efficiency. The increase in pressure ratio leads to a reduction in volumetric efficiency but an increase in isentropic efficiency. When the pressure ratio increased from 3 to 7, the volumetric efficiency decreased by 6.5 % in volumetric efficiency, but the isentropic efficiency increased by 9.8 %. Moreover, the escalation in rotational speed corresponds to a decrease in both volumetric and isentropic efficiencies. As the rotational speed increased from 420 r/min to 660 r/min, volumetric efficiency dropped by 9.6 %, and isentropic efficiency experienced a 19.2 % decrease.
加氢站作为氢能运输的重要基础设施,其能耗对氢能在运输领域的发展起着举足轻重的作用。容积效率和等熵效率是评估压缩机性能的指标。为了研究吸气压力、压力比、溢流压力和转速等因素对隔膜压缩机效率的影响程度,本研究建立了一个实验平台。通过研究压力-容积图,分析了容积损失和能量损失。结果表明,提高吸气压力可提高等熵效率。具体来说,将吸气压力从 0.2 兆帕提高到 0.8 兆帕,等熵效率提高了 10.2%。压力比的增加导致容积效率降低,但等熵效率增加。当压力比从 3 增加到 7 时,容积效率降低了 6.5%,但等熵效率增加了 9.8%。此外,转速的增加也导致容积效率和等熵效率的降低。当转速从 420 r/min 增加到 660 r/min 时,容积效率下降了 9.6%,等熵效率下降了 19.2%。
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引用次数: 0
Optimum carbon tax rate for emission targets of electricity generation system by life cycle techno-economic-environmental optimization model 利用生命周期技术-经济-环境优化模型优化发电系统排放目标的碳税率
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-12 DOI: 10.1016/j.renene.2024.121877
Ashkan Shahbazi, Akram Avami, Moein Moeini-Aghtaie, Hamidreza Tavassoti
Reduction of greenhouse gas emissions from the electricity sector is of special interest for decarbonization of energy systems. Optimum carbon tax as a powerful policy tool is here studied by integrated techno-economic-environmental life cycle analysis in a unit commitment problem. The present model is formulated as a bi-level optimization problem to reach the optimum carbon tax rates for different emission targets. The total life cycle CO2 emissions are estimated to be 20333.90 tons/hr in a real case study of Iran's electricity sector for the peak demand hour. The carbon tax rate for a 2 % and a 3 % emissions reduction is equal to 15.87 and 24.65 $/ton, respectively. In the business-as-usual scenario, higher carbon taxes will be required each year to meet the same emission target. However, developing the electricity sector with cleaner technologies and strategic plans may decrease the carbon tax rate. The extent of this reduction depends on the type of development program implemented in the green revolution scenario. Therefore, policy makers play a direct role in ensuring the sustainable development of the electricity sector. The present model provides a robust framework to analyze the real carbon tax rates for the whole life cycle of electricity generation dispatch.
减少电力部门的温室气体排放对能源系统的去碳化具有特殊意义。本文通过单位承诺问题中的技术-经济-环境生命周期综合分析,对碳税这一强有力的政策工具进行了研究。本模型是一个双层优化问题,目的是针对不同的排放目标确定最佳碳税率。在对伊朗电力行业高峰需求时段的实际案例研究中,估计生命周期内的二氧化碳总排放量为 20333.90 吨/小时。减排 2% 和 3% 的碳税率分别为 15.87 美元/吨和 24.65 美元/吨。在 "一切照旧 "的情况下,要达到相同的排放目标,每年需要征收更高的碳税。然而,利用清洁技术和战略计划发展电力行业可能会降低碳税率。降低的程度取决于绿色革命情景下实施的发展计划类型。因此,政策制定者在确保电力行业可持续发展方面发挥着直接作用。本模型为分析发电调度全生命周期的实际碳税率提供了一个稳健的框架。
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引用次数: 0
Bioenergy and bioexergy analyses with artificial intelligence application on combustion of recycled hardwood and softwood wastes 应用人工智能对燃烧回收硬木和软木废料进行生物能源和生物能量分析
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-12 DOI: 10.1016/j.renene.2024.121885
Ria Aniza , Wei-Hsin Chen , Christian J.A. Herrera , Rafael Quirino , Mathieu Petrissans , Anelie Petrissans
Novel biomass bioenergy-bioexergy analyses via thermogravimetry analysis and artificial intelligence are employed to evaluate the three biofuels from wood wastes (softwood-SW, hardwood-HW, and woods blend-WB). The chemical characterization of SW has the highest bioenergy (higher heating value – HHV: 18.84 MJ kg−1) and bioexergy (specific chemical bioexergy – SCB: 19.65 MJ kg−1) with the SCB/HHV ratio of wood waste as about 1.043–1.046. The high C-element has a significant influence on the HHV-SCB. The three distinct zones of wood waste combustion are identified: moisture evaporation (Zone I, up to 110 °C), combustion reaction – degradation of three major lignocellulosic components (hemicelluloses, cellulose, and lignin) at Zone II, 110–600 °C, and ash remains (Zone III, 600–800 °C). The ignition (Dig = 0.01–0.04) and fuel reactivity (Rfuel = 3.82–6.97 %·min−1·°C−1) indexes are evaluated. The comprehensive combustion index (Sn:>5 × 10−7%2 min−2 °C−3) suggests that wood waste has a better combustion performance than bituminous coal. The statistical evaluation presents that the highest HHV-SCB values are obtained by performing combustion for SW-250 μm at 15 °C·min−1. The S/N ratio and ANOVA results agree that the wood waste type and particle size denote the most influential parameters. The artificial neural network prediction shows an excellent result (R2 = 1) with 1 hidden layer and 5 neuron configurations.
通过热重分析和人工智能进行的新型生物质生物能量-生物能分析,用于评估来自木材废料的三种生物燃料(软木-SW、硬木-HW 和木材混合燃料-WB)。软木-SW 的化学特征具有最高的生物能量(较高的热值 - HHV:18.84 MJ kg-1)和生物能(特定化学生物能 - SCB:19.65 MJ kg-1),木材废料的 SCB/HHV 比值约为 1.043-1.046。高 C 元素对 HHV-SCB 有显著影响。木质废料燃烧分为三个不同的区域:水分蒸发区(I 区,最高 110 °C)、燃烧反应--三种主要木质纤维素成分(半纤维素、纤维素和木质素)降解区(II 区,110-600 °C)和灰烬残留区(III 区,600-800 °C)。评估了点火(Dig = 0.01-0.04)和燃料反应性(Rfuel = 3.82-6.97 %-min-1-℃-1)指数。综合燃烧指数(Sn:>5 × 10-7%2 min-2 ℃-3)表明,木材废料的燃烧性能优于烟煤。统计评估表明,在 15 °C-min-1 下燃烧 SW-250 μm 的 HHV-SCB 值最高。信噪比和方差分析结果表明,木质废料类型和粒度是影响最大的参数。人工神经网络预测结果显示,采用 1 个隐藏层和 5 个神经元配置的结果非常好(R2 = 1)。
{"title":"Bioenergy and bioexergy analyses with artificial intelligence application on combustion of recycled hardwood and softwood wastes","authors":"Ria Aniza ,&nbsp;Wei-Hsin Chen ,&nbsp;Christian J.A. Herrera ,&nbsp;Rafael Quirino ,&nbsp;Mathieu Petrissans ,&nbsp;Anelie Petrissans","doi":"10.1016/j.renene.2024.121885","DOIUrl":"10.1016/j.renene.2024.121885","url":null,"abstract":"<div><div>Novel biomass bioenergy-bioexergy analyses via thermogravimetry analysis and artificial intelligence are employed to evaluate the three biofuels from wood wastes (softwood-SW, hardwood-HW, and woods blend-WB). The chemical characterization of SW has the highest bioenergy (higher heating value – HHV: 18.84 MJ kg<sup>−1</sup>) and bioexergy (specific chemical bioexergy – SCB: 19.65 MJ kg<sup>−1</sup>) with the SCB/HHV ratio of wood waste as about 1.043–1.046. The high C-element has a significant influence on the HHV-SCB. The three distinct zones of wood waste combustion are identified: moisture evaporation (Zone I, up to 110 °C), combustion reaction – degradation of three major lignocellulosic components (hemicelluloses, cellulose, and lignin) at Zone II, 110–600 °C, and ash remains (Zone III, 600–800 °C). The ignition (<em>D</em><sub><em>ig</em></sub> = 0.01–0.04) and fuel reactivity (<em>R</em><sub><em>fuel</em></sub> = 3.82–6.97 %·min<sup>−1</sup>·°C<sup>−1</sup>) indexes are evaluated. The comprehensive combustion index (<em>S</em><sub><em>n:</em></sub>&gt;5 × 10<sup>−7</sup>%<sup>2</sup> min<sup>−2</sup> °C<sup>−3</sup>) suggests that wood waste has a better combustion performance than bituminous coal. The statistical evaluation presents that the highest HHV-SCB values are obtained by performing combustion for SW-250 μm at 15 °C·min<sup>−1</sup>. The S/N ratio and ANOVA results agree that the wood waste type and particle size denote the most influential parameters. The artificial neural network prediction shows an excellent result (R<sup>2</sup> = 1) with 1 hidden layer and 5 neuron configurations.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"237 ","pages":"Article 121885"},"PeriodicalIF":9.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663235","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
A comparative study on the performance of ice-source heat pumps versus other heat source heat pumps: A case study in the UK 冰源热泵与其他热源热泵性能比较研究:英国案例研究
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-12 DOI: 10.1016/j.renene.2024.121867
Ramin Mehdipour, Seamus Garvey, Zahra Baniamerian, Bruno Cardenas
Eliminating natural gas as a fuel for heating residential and industrial units is crucial for reducing environmental pollutants. The challenge lies in finding alternative heating systems and repurposing existing infrastructures, like gas pipes. This article presents a new approach to supplying energy to heat pumps in a post-natural gas era using repurposed gas pipes to transport water for ice-source heat pumps. It highlights the advantages of ice-source heat pumps and compares their thermal performance with other types. The proposed system integrates ice-source and geothermal heat pumps, offering space efficiency, compact design, cost-effective centralization, optimized subsidies, seasonal cooling, weather resilience, and eliminates the need for new piping.
This study evaluates heat pump efficiency using various low-grade heat sources: ambient air, ground, domestic wastewater, river and lake water, piped water, and latent heat. It focuses on optimizing heat pump performance under the UK's climatic conditions, addressing efficiency challenges during peak cold periods. The research demonstrates the system's robust performance in cold, densely populated areas, potentially reducing water mass for energy supply by up to 95 % with a 70 % ice slurry concentration. Additionally, the ice-source heat pump requires about 36.7 times less water volume than traditional systems for residential heating.
取消天然气作为住宅和工业单位的供暖燃料对于减少环境污染至关重要。挑战在于寻找替代加热系统和重新利用现有基础设施,如燃气管道。本文介绍了一种在后天然气时代为热泵提供能源的新方法,即利用重新利用的燃气管道为冰源热泵输送水。文章强调了冰源热泵的优势,并将其热性能与其他类型的热泵进行了比较。拟议的系统集成了冰源热泵和地源热泵,具有空间效率高、设计紧凑、集中化成本效益高、补贴优化、季节性冷却、气候适应性强等优点,并且无需新的管道。这项研究评估了热泵使用各种低品位热源的效率:环境空气、地面、生活废水、河水和湖水、管道水和潜热。研究重点是优化热泵在英国气候条件下的性能,解决高峰寒冷期的效率难题。研究表明,该系统在寒冷、人口稠密的地区具有强大的性能,在冰浆浓度为 70% 的情况下,可减少高达 95% 的能源供应水量。此外,冰源热泵所需的水量是传统住宅供暖系统的 36.7 倍。
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引用次数: 0
Optimization scheduling of off-grid hybrid renewable energy systems based on dung beetle optimizer with convergence factor and mathematical spiral 基于收敛因子和数学螺旋的蜣螂优化器的离网混合可再生能源系统优化调度
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-12 DOI: 10.1016/j.renene.2024.121874
Xun Liu, Jie-Sheng Wang, Song-Bo Zhang, Xin-Yi Guan, Yuan-Zheng Gao
With the rapid development of renewable energy and the increasing modernization demands in remote areas, off-grid hybrid renewable energy systems (HRES) have become a key technology for achieving sustainable development. This paper presents an improved Dung Beetle Optimization (DBO) algorithm that enhances step size by introducing six elementary functions as convergence factors. It combines polar coordinate expressions of three different mathematical spirals, multiplied by a zeroing factor related to the number of iterations, resulting in six distinct mathematical images that optimize the algorithm's dancing path, thereby enhancing global search capability. Experiments on the CEC2022 test functions demonstrate improved optimization performance of the algorithm. Furthermore, the algorithm is applied to the optimization design of off-grid HRES, integrating configurations such as photovoltaic panels, wind turbines, biomass generators and various battery types (Lead Acid battery/Lithium-Ion/Nickel-Iron), with lifecycle cost as the objective function while assessing energy costs. The results indicate that the nickel-iron battery system optimized by the improved DBO algorithm achieves the lowest lifecycle cost ($961,139) and energy cost ($0.3607/kWh), requiring a total of 1329 PV panels, no wind turbines, and 268 nickel-iron battery units.
随着可再生能源的快速发展和偏远地区现代化需求的日益增长,离网混合可再生能源系统(HRES)已成为实现可持续发展的一项关键技术。本文提出了一种改进的蜣螂优化(DBO)算法,通过引入六个基本函数作为收敛因子来增强步长。它结合了三种不同数学螺旋的极坐标表达式,再乘以一个与迭代次数相关的归零因子,从而得到六个不同的数学图像,优化了算法的舞动路径,从而增强了全局搜索能力。在 CEC2022 测试功能上的实验表明,该算法的优化性能有所提高。此外,该算法还被应用于离网 HRES 的优化设计,整合了光伏板、风力涡轮机、生物质发电机和各种类型电池(铅酸电池/锂离子电池/镍铁电池)等配置,以生命周期成本为目标函数,同时评估能源成本。结果表明,通过改进的 DBO 算法优化的镍铁电池系统实现了最低的生命周期成本(961139 美元)和能源成本(0.3607 美元/千瓦时),共需要 1329 块光伏板、无风力涡轮机和 268 个镍铁电池单元。
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引用次数: 0
Application of metal organic frameworks ZIF-8-based solid catalyst with hierarchical porous structure and Brønsted-Lewis dual acid sites ionic liquids for sustainable biodiesel production from acidic soybean oil 基于金属有机框架 ZIF-8 的分层多孔结构固体催化剂和布伦斯特-刘易斯双酸位点离子液体在利用酸性大豆油可持续生产生物柴油中的应用
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-10 DOI: 10.1016/j.renene.2024.121861
Gaoqiang Zhang , Wenlei Xie , Lihong Guo
In order to alleviate the mass transfer limitation of triglyceride macromolecules on the solid catalyst surface during the catalytic oil transformation process, the utilization of hierarchical porous solid catalyst is a feasible method. For reaching this goal, the hierarchical porous support of H-ZIF-8 was initially prepared by incorporating the three-dimensional ordered macro and mesoporous into the ZIF-8 using polystyrene spheres (PS) as a hard template. Subsequently, the phosphotungstate anion PW12O403− (PW) decorated sulfonated 4,4′-dipyridinium ionic liquid with Keggin structure, namely [DPySO3H]1.5PW, was encapsulated in the H-ZIF-8 support, with the formation of the novel [DPySO3H]1.5PW@H-ZIF-8 catalyst. The so-synthesized solid catalysts featured with ordered hierarchical porous structure and dual Lewis and Brønsted acidic properties, with large BET surface area of 267.38 m2/g. This catalyst had high catalytic performances for the concurrent transformation of triglycerides and free fatty acids to biodiesel in a heterogeneous manner. Under the optimal reaction parameters (methanol/oil molar ratio: 30:1; catalyst dosage: 4 wt%; reaction time: 8 h; reaction temperature: 130 °C), the oil conversion level of 91.2 % and entire conversion of free fatty acids could be attained by applying this [DPySO3H]1.5PW@H-ZIF-8 catalyst. The high catalytic activity of this catalyst was due primarily to the increased mass transfer efficiency and synergism of Lewis and Brønsted acid sites. Moreover, the good FFA and moisture-resistance capacity was also shown for this catalyst even in the case of moisture content of 5 % and FFA content of 40 % in the oil feedstock. This solid catalyst could be reused by simple filtration and displayed good reusability, still attaining over 80 % oil conversion at the fourth reuse cycles thanks to the robust interactions between the acidic active centers and the hierarchical porous support. The kinetic analysis indicated that the activation energy Ea and Arrhenius constant A for this solid acid-catalyzed transesterification process were 56.0 kJ/mol and 7.8 × 104 min−1, respectively. This research would provide a new approach for the development of hierarchical porous solid catalysts, enabling the one-step transformation of low-grade acidic oils into biodiesel in a more sustainable and environmentally friendly way.
为了缓解催化油转化过程中固体催化剂表面甘油三酯大分子的传质限制,利用分层多孔固体催化剂是一种可行的方法。为实现这一目标,首先以聚苯乙烯球(PS)为硬模板,在 ZIF-8 中加入三维有序的大孔和中孔,制备出 H-ZIF-8 的分层多孔载体。随后,磷钨阴离子 PW12O403- (PW)装饰的具有凯金结构的磺化 4,4′-二吡啶鎓离子液体,即 [DPySO3H]1.5PW 被包裹在 H-ZIF-8 载体中,形成了新型 [DPySO3H]1.5PW@H-ZIF-8 催化剂。合成的固体催化剂具有有序的分层多孔结构和路易斯和布氏双重酸性,BET 比表面积高达 267.38 m2/g。该催化剂对甘油三酯和游离脂肪酸以异构方式同时转化为生物柴油具有很高的催化性能。在最佳反应参数(甲醇/油摩尔比:30:1;催化剂用量:4 wt%;反应时间:30 分钟)下,该催化剂的催化活性和催化性能均优于其他催化剂:4 wt%;反应时间:8 h;反应温度:130 °C130 °C)下,[DPySO3H]1.5PW@H-ZIF-8 催化剂的油转化率可达 91.2 %,游离脂肪酸的转化率也达到了全部转化率。该催化剂的高催化活性主要得益于传质效率的提高以及路易斯酸位点和布氏酸位点的协同作用。此外,这种催化剂还具有良好的抗 FFA 和防潮能力,即使在油原料中水分含量为 5%、FFA 含量为 40% 的情况下也是如此。由于酸性活性中心与分层多孔载体之间的强相互作用,这种固体催化剂可通过简单过滤重复使用,并显示出良好的重复使用性,在第四次重复使用时仍能达到 80% 以上的油转化率。动力学分析表明,该固体酸催化酯交换过程的活化能 Ea 和阿伦尼乌斯常数 A 分别为 56.0 kJ/mol 和 7.8 × 104 min-1。该研究为开发分层多孔固体催化剂提供了一种新方法,可使低品位酸性油一步转化为生物柴油的过程更加可持续和环保。
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引用次数: 0
Optimal design of solar collector network in novel hybrid desalination plant 新型混合海水淡化厂太阳能集热器网络的优化设计
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-10 DOI: 10.1016/j.renene.2024.121813
Amir Hossein Forghani, Hassan Hajabdollahi
In this study, a new hybrid system for producing fresh water from seawater using solar energy is proposed. It suggests a modified and optimized approach to reduce the reliance on fossil fuels and decrease pollutants by also harnessing solar energy. The system includes flat-plate solar collectors, a multi-effect distillation through thermal vapor compression (MED-TVC) desalination unit, a pump, and a boiler. The flow rate of the produced fresh water and the specific cost of generating fresh water volume were considered objective functions and the system was optimized using as evolutionary algorithm. The algorithm was employed to determine 12 design variables. Series, parallel, and series-parallel configurations were examined as layouts for flat plate collectors. The results indicated that the series-parallel arrangement was the most effective layout for the collectors. The modeling was carried out for the city of Bandar Abbas in Hormozgan Province, Iran. The production of fresh water in series-parallel mode has increased by 12.15 % and 27.83 %, respectively, compared to the parallel and series configurations at the ideal point. An assessment of the results suggests that choosing the design point within the flow rate range of 4.19 L/s to 4.65 L/s is preferable.
本研究提出了一种利用太阳能从海水中生产淡水的新型混合系统。它提出了一种改进和优化的方法,通过同时利用太阳能来减少对化石燃料的依赖和污染物。该系统包括平板太阳能集热器、热蒸汽压缩多效蒸馏(MED-TVC)海水淡化装置、泵和锅炉。生产淡水的流量和产生淡水量的具体成本被视为目标函数,并使用进化算法对系统进行优化。该算法用于确定 12 个设计变量。研究了平板集热器的串联、并联和串并联配置布局。结果表明,串并联布局是最有效的集热器布局。建模工作是在伊朗霍尔木兹甘省的阿巴斯港进行的。与理想点的并联和串联配置相比,串联-并联模式的淡水产量分别增加了 12.15 % 和 27.83 %。对结果的评估表明,最好在 4.19 升/秒至 4.65 升/秒的流速范围内选择设计点。
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引用次数: 0
Techno-economic feasibility analysis and optimisation of on/off-grid wind-biogas-CHP hybrid energy system for the electrification of university campus: A case study 用于大学校园电气化的并网/离网风能-沼气-热电联产混合能源系统的技术经济可行性分析与优化:案例研究
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-09 DOI: 10.1016/j.renene.2024.121792
Ilter Sahin Aktas
This paper provides a comprehensive feasibility analysis of a hybrid energy system with different configurations to meet electricity and thermal load demand at the University of Southampton campus. The suggested hybrid energy system (HES) comprises wind turbine, biogas generator, battery, CHP natural gas-generator, thermal load controller, boiler, and converter and is simulated in Homer Pro software. In addition, a comparative analysis between stand-alone and on-grid HES is presented. The results indicate that the grid-connected HES is significantly more cost-effective, with a 45 % reduction in cost of energy (COE) and %15.5 decrease in net present cost (NPC) compared to the off-grid system, which amounts to 0.03359 $/kWh and 467M$, respectively. The grid-connected HES is not only more eco-friendly in terms of greenhouse gas emissions (GHG) and produces 19 % less emissions annually compared to the grid-independent system, but it also effectively achieves a positive return on investment (ROI) of %45 with 2.3 years of payback time. Considering the university's total emissions of 38.56 kT CO2e, the proposed on-grid hybrid system has the potential to lessen GHG emissions by 91.2 %.
本文对不同配置的混合能源系统进行了全面的可行性分析,以满足南安普顿大学校园的电力和热负荷需求。建议的混合能源系统(HES)由风力涡轮机、沼气发电机、电池、热电联产天然气发电机、热负荷控制器、锅炉和变流器组成,并在 Homer Pro 软件中进行了模拟。此外,还对独立和并网 HES 进行了比较分析。结果表明,与离网式系统相比,并网式热电联产系统的成本效益明显更高,能源成本(COE)降低了 45%,净现值成本(NPC)降低了 15.5%,分别为 0.03359 美元/千瓦时和 4.67 亿美元。就温室气体排放量(GHG)而言,并网 HES 不仅更加环保,与独立电网系统相比,每年的排放量减少了 19%,而且还有效地实现了 %45 的正投资回报率(ROI),投资回收期为 2.3 年。考虑到该大学的二氧化碳总排放量为 38.56 kTe,拟议的并网混合系统有可能减少 91.2 % 的温室气体排放量。
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引用次数: 0
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Renewable Energy
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