Sustainable Energy Technologies and Assessments最新文献_第8页

Forecasting provincial installed power generation capacity in China using combined accumulation grey model 用组合累积灰色模型预测中国各省发电装机容量

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-08-25 DOI: 10.1016/j.seta.2026.105350

Zhengran Qiao, Wei Yang, Jianlong Guo

{"title":"Forecasting provincial installed power generation capacity in China using combined accumulation grey model","authors":"Zhengran Qiao, Wei Yang, Jianlong Guo","doi":"10.1016/j.seta.2026.105350","DOIUrl":"10.1016/j.seta.2026.105350","url":null,"abstract":"<div><div>The power system, as a primary source of carbon emissions, is undergoing profound transformation under the background of global climate action, and installed power generation capacity is a key determinant of both power system structure and carbon emission intensity. Therefore, accurate forecasting of installed power generation capacity is essential for formulating effective emission reduction strategies. This study introduces a combined accumulation grey model (CGM) that integrates fractional accumulation with new information priority accumulation. The particle swarm optimization (PSO) algorithm is employed to optimize the model parameters, enhancing its ability to capture nonlinear and regionally heterogeneous patterns. The superior predictive accuracy and stability of the proposed model are validated through four case studies, in which it consistently outperforms other competitive models. Moreover, the CGM model is applied to forecast installed power generation capacity across 31 provinces in China, organized into seven geographical regions. The results indicate that 26 provinces show an upward trend, while 5 provinces exhibit a stable trend due to resource endowments or policy constraints. Finally, based on the forecasting results, this study proposes policy recommendations to support decision-making in power system planning and emission reduction policymaking.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105350"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Carbon-emission-flow-based market clearing mechanism and profit allocation strategy for virtual power plants participating in coupled electricity–carbon markets 基于碳排放流的电力-碳耦合市场虚拟电厂市场清算机制及利润分配策略

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-08-31 DOI: 10.1016/j.seta.2026.105332

Shangyuan Zhang, Yanbo Che, Yingshu Liu, Yilun Li

{"title":"Carbon-emission-flow-based market clearing mechanism and profit allocation strategy for virtual power plants participating in coupled electricity–carbon markets","authors":"Shangyuan Zhang, Yanbo Che, Yingshu Liu, Yilun Li","doi":"10.1016/j.seta.2026.105332","DOIUrl":"10.1016/j.seta.2026.105332","url":null,"abstract":"<div><div>Modern power systems are characterized by a high penetration of renewable generation and an increasingly open energy market. When participating in increasingly coupled electricity–carbon markets, virtual power plants (VPPs) face two intertwined challenges: market clearing lacks a precise spatiotemporal carbon signal, and internal profit allocation insufficiently reflects the heterogeneous contributions. To address these challenges, this paper proposes a carbon-emission-flow-based clearing and profit allocation strategy. First, a grid–VPP Stackelberg game model is constructed: the grid operator computes and broadcasts a spatiotemporally dynamic nodal carbon emission factor (CEF), while the VPP operator optimizes its dispatch using both the locational marginal price (LMP) and the nodal CEF. Second, to balance coalitional stability with multidimensional differentiated incentives, a carbon-flow risk-coupled core-stable improved Shapley value method (CRC-Shapley) is proposed to fairly allocate the total profit obtained. The method couples four contribution dimensions through an entropy-weight–TOPSIS data-driven evaluation framework and enforces core stability. A case study on the IEEE 30-bus system shows that the proposed clearing mechanism increases the total VPP profit by 13.0%; the CRC-Shapley method raises the contribution-payoff alignment from 0.303 to 0.603, and the core-projection check enforces coalition stability for the reported allocation, achieving an improved balance among fairness, incentive effectiveness, and stability.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105332"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Anaerobic co-digestion of food wastewater and pear pomace: effect of mixing ratio on methane production, microbial dynamics, and environmental performance 食品废水和梨渣厌氧共消化：混合比例对甲烷产量、微生物动力学和环境性能的影响

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-08-31 DOI: 10.1016/j.seta.2026.105367

Juyeon Yoon, Sudharshan Juntupally, Ranaprathap Katakojwala, Hyunsu Kim, Keunje Yoo, Hyung-Sool Lee

{"title":"Anaerobic co-digestion of food wastewater and pear pomace: effect of mixing ratio on methane production, microbial dynamics, and environmental performance","authors":"Juyeon Yoon, Sudharshan Juntupally, Ranaprathap Katakojwala, Hyunsu Kim, Keunje Yoo, Hyung-Sool Lee","doi":"10.1016/j.seta.2026.105367","DOIUrl":"10.1016/j.seta.2026.105367","url":null,"abstract":"<div><div>Co-digestion of food wastewater (FWW) and pear pomace (PP) was investigated using mesophilic biochemical methane potential assays to evaluate methane production, temporal synergy, microbial dynamics, and environmental performance. The 50:50 FWW-PP mixture (Condition 4; C/N 32.4) produced the highest cumulative biogas yield (426 mL/g COD) and showed the strongest synergy, with synergy index (SI) peaking at 176.2% and remaining above 100% after 30 days. However, FWW mono-digestion (Condition 1) achieved the highest cumulative methane yield (168 mL CH<sub>4</sub>/g COD), indicating that co-digestion benefits were more pronounced during early digestion. PP-rich conditions showed stronger early fermentation, characterized by transient H<sub>2</sub> and ethanol production and butyrate-dominant volatile fatty acids, whereas FWW-rich conditions supported more stable methanogenesis. Microbial analysis revealed enrichment of fermentative and syntrophic taxa, while <em>Methanoculleus</em> dominated the archaeal community, indicating hydrogenotrophic methanogenesis. Life cycle assessment (LCA) demonstrated retention-time-dependent environmental performance: Condition 4 showed the lowest environmental impacts at 21 days, whereas Condition 1 performed better at 35 days, with electricity consumption identified as the major environmental hotspot. Overall, the effect of mixing ratio on methane production, microbial dynamics, and environmental performance depended not only on the C/N balance but also on substrate characteristics and retention time.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105367"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Intelligent Energy-Efficient design and Multi-Objective optimization of recycle micromixers for sustainable Microchemical process intensification 面向可持续微化工强化的循环微混合器智能节能设计与多目标优化

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-12 DOI: 10.1016/j.seta.2026.105381

Jie Luo, Dler Hussein Kadir, Mustafa Abdullah, Ashok Bhansali, Ala Eldin A. Awouda, Jaber M.Asiri, Husam Rajab, Sanjeev Singh

{"title":"Intelligent Energy-Efficient design and Multi-Objective optimization of recycle micromixers for sustainable Microchemical process intensification","authors":"Jie Luo, Dler Hussein Kadir, Mustafa Abdullah, Ashok Bhansali, Ala Eldin A. Awouda, Jaber M.Asiri, Husam Rajab, Sanjeev Singh","doi":"10.1016/j.seta.2026.105381","DOIUrl":"10.1016/j.seta.2026.105381","url":null,"abstract":"<div><div>Microfluidic process intensification plays a key role in improving the sustainability and energy efficiency of advanced chemical systems by reducing resource consumption while enhancing transport phenomena. In this context, recycle-based micromixers offer superior mixing performance through induced flow recirculation, although their complex hydrodynamics introduce a strong trade-off between mixing quality and pressure-driven energy demand. This study proposes an intelligent, data-driven framework for energy-efficient design and multi-objective optimization of recycle micromixers in line with sustainable process development goals. The framework integrates computational fluid dynamics (CFD), gene expression programming (GEP) surrogate modeling, a multi-objective special relativity search (MOSRS) algorithm, and PROMETHEE-based decision analysis. A CFD dataset was generated by varying key geometric and operating parameters, including splitter length, splitter width, channel depth, number of mixing units, and Reynolds number. The optimization simultaneously maximizes mixing index and minimizes pressure drop as a proxy for pumping energy consumption. The GEP models achieved high predictive accuracy (R<sup>2</sup> > 0.999), enabling efficient surrogate-based optimization. The MOSRS algorithm generated a well-distributed Pareto front, highlighting the trade-off between high mixing efficiency (84–100 %) and low energy losses. Results indicate that higher Reynolds numbers and deeper channels enhance mixing, while shorter splitter lengths reduce hydraulic energy requirements.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105381"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Minimizing CO2 emissions in mixed light-duty fleets through vehicle-to-trip assignment planning 通过车辆到行程的分配计划，最大限度地减少混合轻型车队的二氧化碳排放

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-04 DOI: 10.1016/j.seta.2026.105359

Hamidreza Abediasl, Liu Yang, Charles Robert Koch, Mahdi Shahbakhti

{"title":"Minimizing CO2 emissions in mixed light-duty fleets through vehicle-to-trip assignment planning","authors":"Hamidreza Abediasl, Liu Yang, Charles Robert Koch, Mahdi Shahbakhti","doi":"10.1016/j.seta.2026.105359","DOIUrl":"10.1016/j.seta.2026.105359","url":null,"abstract":"<div><div>Fleets of light-duty vehicles with heterogeneous powertrain systems are increasingly common. While fleet electrification can reduce emissions, operational decisions such as vehicle-to-trip assignment remain a critical lever for CO<sub>2</sub> mitigation. In mixed fleets, energy consumption and emissions are highly temperature-dependent, and operation under non-standard ambient conditions requires additional attention. This work presents an emissions-oriented vehicle-to-trip assignment planning framework demonstrated using a real-world mixed 15-vehicle fleet comprising two hybrid and one plug-in hybrid electric vehicles across multiple fleet applications. Application-specific representative drive cycles were developed using operational data collected from 10 fleet vehicles, while vehicle-specific tailpipe CO<sub>2</sub> emission-rate models were trained for 15 fleet vehicles using a machine learning approach. For electrified powertrains, the effect of cold ambient temperature is considered in emissions. Using the resulting emission estimates, an optimization is implemented to identify minimum-emission assignments for daily schedules under eligibility, time-overlap, and battery recharging constraints. Across trip sequences examined, the minimum-CO<sub>2</sub> assignment reduced average CO<sub>2</sub> emissions by 6.9% at 20 °C, 11.0% at 0 °C, and 8.6% at −20 °C relative to the baseline greedy strategy, which prioritized the most fuel-efficient available vehicles. The results highlight the importance of integrating realistic drive cycles, data-driven emission modeling, and operational constraints to support low-carbon fleet assignment planning.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105359"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952599","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

Distributed optimal scheduling of virtual power plant considering operational safety of urban smart grids 考虑城市智能电网运行安全的虚拟电厂分布式优化调度

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-06 DOI: 10.1016/j.seta.2026.105355

Yufei Sun, Xinrui Liu, Ming Li, Yushuai Li, Rui Wang, Qiuye Sun

{"title":"Distributed optimal scheduling of virtual power plant considering operational safety of urban smart grids","authors":"Yufei Sun, Xinrui Liu, Ming Li, Yushuai Li, Rui Wang, Qiuye Sun","doi":"10.1016/j.seta.2026.105355","DOIUrl":"10.1016/j.seta.2026.105355","url":null,"abstract":"<div><div>In recent years, the penetration rate of electric vehicles (EVs) and renewable energy sources (RES) has surged, which poses new challenges for the safe operation of the urban smart grids. Therefore, this paper encourages the cooperative optimization operation of electric vehicle charging station (CS) and RES in virtual power plant (VPP). Firstly, the operating characteristics of CS and RES are studied respectively, and RES was equipped with hydrogen energy storage (HES). The VPP distributed optimization model is established for the cooperation benefit between CS and RES. Then, in order to incorporate network constraints into the VPP distributed optimization model, voltage sensitivity factor is introduced to evaluate the impact of VPP participants on the safe operation of the system. The line transmission sensitivity factor and system loss sensitivity factor are introduced to evaluate the impact of VPP trading on system loss, and the system loss cost is allocated to CS and RES reasonably. Finally, an alternating direction method of multipliers (ADMM) algorithm considering system sensitivity (ADMM-SS) is proposed by integrating three factors into the ADMM algorithm. The simulation results show that the cost of the VPP is reduced by 18.3%, the line loss is reasonably distributed among the participants, and the node voltage constraint is guaranteed.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105355"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

From e-waste to aromatic fuel oil: catalytic microwave pyrolysis of brominated ABS via an optimized Fe/SiC process 从电子垃圾到芳香燃料油：优化Fe/SiC工艺催化微波热解溴化ABS

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-10 DOI: 10.1016/j.seta.2026.105373

Vahid Mortezaeikia, Omid Tavakoli

{"title":"From e-waste to aromatic fuel oil: catalytic microwave pyrolysis of brominated ABS via an optimized Fe/SiC process","authors":"Vahid Mortezaeikia, Omid Tavakoli","doi":"10.1016/j.seta.2026.105373","DOIUrl":"10.1016/j.seta.2026.105373","url":null,"abstract":"<div><div>Microwave-assisted catalytic pyrolysis (MAP) of brominated acrylonitrile–butadiene–styrene (Br-ABS) e-waste plastic was investigated using silicon carbide (SiC) and iron-impregnated SiC (Fe/SiC) as microwave susceptor and catalytic susceptor, respectively. Response surface methodology coupled with Box-Behnken design (RSM-BBD) optimized four process variables using SiC: microwave power, argon carrier gas flow rate, susceptor-to-plastic weight ratio, and final temperature, for maximum pyrolytic oil recovery. A reduced quadratic model accurately described the experimental response. Optimal conditions were 471 °C, a microwave power of approximately 490 W, 215 mL/min argon, and a susceptor/plastic ratio of 0.05 (w/w), yielding 56.97 wt% pyrolytic oil (experimentally validated at 57.10 wt%). Fe/SiC was subsequently evaluated under these conditions. Quantitative GC–MS/MS revealed that oil produced with SiC contained 60.8 wt% monocyclic aromatics; Fe/SiC increased this to 82 wt% through catalytic cracking of polycyclic aromatic hydrocarbons (PAHs). Critically, Fe/SiC achieved > 98 % reduction in total oil-phase bromine content (from 4.24 to < 0.08 wt% Br). A process-energy balance based on measured electrical energy consumption (16.2 MJ/kg), together with catalyst-preparation energy and condenser cooling duty, indicated an overall energy efficiency of approximately 55 %. These results establish MAP with Fe/SiC as an effective route for simultaneous resource recovery and hazardous halogen removal from e-waste ABS.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105373"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952663","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

Mutual information disentanglement for domain-generalized fault feeder identification in distribution networks with distributed photovoltaics 分布式光伏配电网广义故障馈线识别的互信息解纠缠

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-08 DOI: 10.1016/j.seta.2026.105389

Lei Xu, Fei Rong, Junle Li, Yiqin Zhu

{"title":"Mutual information disentanglement for domain-generalized fault feeder identification in distribution networks with distributed photovoltaics","authors":"Lei Xu, Fei Rong, Junle Li, Yiqin Zhu","doi":"10.1016/j.seta.2026.105389","DOIUrl":"10.1016/j.seta.2026.105389","url":null,"abstract":"<div><div>The increasing penetration of distributed photovoltaics (DPV) in medium-voltage distribution networks introduces compound distribution shifts in zero-sequence current features, severely degrading traditional fault line selection methods and supervised learning models under non-effectively grounded neutral systems. To address this challenge, this paper proposes a lightweight domain generalization network that requires no target-domain data during training. The method constructs dual-channel multi-scale time–frequency feature maps via adaptive wavelet packet decomposition and Gramian angular field encoding, followed by a MixStyle-based implicit domain augmentation module that synthesizes virtual domains by randomly mixing style statistics across source domains. Furthermore, a mutual information minimization constraint, implemented through adversarial training and a progressive purification mechanism, explicitly disentangles domain-invariant fault features from domain-related style features. Experimental results demonstrate that the proposed method achieves an average accuracy of 99.20 % on unseen target domains under four DPV penetration levels, significantly outperforming existing domain generalization baselines. The method also exhibits robust generalization across high-impedance faults, varying fault angles, and noise conditions, confirming its practical applicability for online fault diagnosis in complex active distribution networks.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105389"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 a small-scale solar linear Fresnel reflector-based polygeneration system for cost-effective power, cooling, and water solutions 基于小型菲涅耳反射镜的太阳能线性多联产系统的研究，该系统具有成本效益的电力、冷却和水解决方案

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-08 DOI: 10.1016/j.seta.2026.105370

Adane Kassa Woemago, K.S. Reddy

{"title":"Investigation of a small-scale solar linear Fresnel reflector-based polygeneration system for cost-effective power, cooling, and water solutions","authors":"Adane Kassa Woemago, K.S. Reddy","doi":"10.1016/j.seta.2026.105370","DOIUrl":"10.1016/j.seta.2026.105370","url":null,"abstract":"<div><div>This study presents an investigation of a novel small-scale polygeneration system using a linear Fresnel reflector (LFR) in a direct steam generation (DSG) configuration, to simultaneously deliver electricity (100 kW), cooling (35 kW), and freshwater (23.6 m<sup>3</sup>/day). The system integrates an LFR solar field with a steam Rankine cycle, an ejector refrigeration cycle, and a multi-effect distillation unit, supported by a natural gas boiler for dispatchability. An energy, exergy, economics, and environment analysis was conducted using literature-validated thermodynamic models. The physical sizing constraints, geographical location, and design DNI were adopted from the Vallipuram pilot plant in India (12.572°N, 79.990°E). Additionally, a parametric analysis was conducted on different design and operational parameters. MATLAB, combined with the X Steam library, was used for simulation. The system achieved overall energy and exergy efficiencies of 26% and 14.85%, respectively. The LFR solar field is the major contributor to system exergy destruction, indicating potential performance improvement. Economic evaluation demonstrates a feasible levelized cost for all products and a positive net present value. The solar field mitigates gross CO<sub>2</sub> emissions of 1837.38 tons annually by displacing an equivalent amount of coal-fired energy. These findings support the conclusion that small-scale DSG polygeneration could be a sustainable option for meeting the water and energy needs of off-grid and remote communities that rely on expensive, polluting fuel sources.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105370"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 magnetically coupled cross-axis bluff-body energy harvester using lightweight HDPE-based magnetic composites for low-speed wind energy application 一种采用轻质高密度聚乙烯基磁性复合材料的磁耦合跨轴陡体能量采集器，用于低速风能应用

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-02 DOI: 10.1016/j.seta.2026.105357

Nattanan Rakpratanporn, Apirat Laobuthee, Witchukorn Phuthong, Jan Novosad, Chawalit Kittichaikarn

{"title":"A magnetically coupled cross-axis bluff-body energy harvester using lightweight HDPE-based magnetic composites for low-speed wind energy application","authors":"Nattanan Rakpratanporn, Apirat Laobuthee, Witchukorn Phuthong, Jan Novosad, Chawalit Kittichaikarn","doi":"10.1016/j.seta.2026.105357","DOIUrl":"10.1016/j.seta.2026.105357","url":null,"abstract":"<div><div>This study proposes a wind-induced energy harvesting device integrating HDPE-based magnetic composites with a cross-axis dual-bluff-body configuration for low wind-speed conditions. Two bluff bodies are mounted on cantilever beams in horizontal and vertical orientations to enhance flow-induced vibrations. Lightweight magnetic composites were fabricated using HDPE reinforced with barium ferrite (BaFe<sub>12</sub>O<sub>19</sub>), iron oxide (Fe<sub>3</sub>O<sub>4</sub>), and neodymium–iron–boron (NdFeB) fillers. The composites reduce structural weight while providing sufficient magnetic properties for effective coupling. Experimental results show that higher magnetic field intensity and attractive polarity enhance vibration response and electrical power generation. The NdFeB composite with 70% filler loading achieved the best performance. Under optimal conditions, with a magnet spacing-to-bluff-body width ratio of 0.25 and a magnetic field intensity of 180 mT, the device achieved a cut-in wind speed of 2 m/s and a maximum electrical power output of 16.18 mW. Particle Image Velocimetry (PIV) analysis indicated that the enhanced performance resulted from the combined effects of vortex-induced aerodynamic forces and magnetic induction forces. The optimal spacing promoted stronger fluid–structure coupling, amplifying vibration and power generation. These findings demonstrate the potential of lightweight magnetic composites for low-speed wind energy harvesting.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105357"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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