{"title":"Response Surface Optimization of CuS Photocatalytic Process Using UV-vis Irradiation for Wastewater Treatment","authors":"Caressa Munien, Emmanuel Kweinor Tetteh, Sudesh Rathilal","doi":"10.1002/ese3.70077","DOIUrl":"https://doi.org/10.1002/ese3.70077","url":null,"abstract":"<p>Optimizing the overall efficiency of current wastewater treatment technologies is a global challenge to achieving sufficient wastewater remediation. Thus, this study aimed to optimize the operating parameters of the photocatalytic degradation process using copper sulphide (CuS) and UV-visible irradiation via response surface methodology (RSM) to determine the relationship that exists between the most significant factors and the water quality parameters. The efficiency of the CuS photocatalyst was evaluated as a function of three input variables viz. (A) catalyst load (1–2 g/L), (B) mixing speed (60–120 rpm), and (C) exposure time (10–60 min) by using Box–Behnken design (BBD) adapted from RSM. Using chemical oxygen demand (COD), turbidity and colour removal as responses, a 15-run experiment matrix was generated by the BBD to investigate the interactive effects of the three abovementioned input factors. The correlation coefficients (<i>R</i><sup>2</sup>) [0.9332, 0.9948, 0.9805] and their corresponding Adjusted <i>R</i><sup>2</sup> [0.8663, 0.9878 and 0.9545] values were near 1, suggested that a good fit existed between the developed statistical model and the collected data. For the use of CuS, the optimal solution suggested a COD (47.2%), turbidity (75.1%) and colour (48.3%) at a catalyst load (2 g/L), mixing speed (120 rpm), and exposure time (30 min), and maximum desirability of 96% removal efficiency. CuS was shown to be a viable photocatalyst for wastewater treatment under UV-vis irradiation under specific operating conditions.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"2922-2939"},"PeriodicalIF":3.5,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alireza Ahmadi, Ahmad Hajinezhad, Reza Fattahi, Seyed Farhan Moosavian
{"title":"Techno-Economic Comparison of Battery–Flywheel With Battery–Hydrogen Storage System in the Vicinity of Off-Grid HRES for Four Climates: MCDM Method","authors":"Alireza Ahmadi, Ahmad Hajinezhad, Reza Fattahi, Seyed Farhan Moosavian","doi":"10.1002/ese3.70048","DOIUrl":"https://doi.org/10.1002/ese3.70048","url":null,"abstract":"<p>Ensuring sustainable power and heating in remote rural areas presents a considerable challenge. Renewable hybrid systems are typically recommended for this purpose; however, maintaining stability necessitates either a connection to the grid requiring electricity purchases from power plants, which are significant sources of pollution, or the deployment of extensive equipment to ensure system stability. This study examines four climatic regions in Iran, evaluating the selection between two storage systems, battery-hydrogen and battery–flywheel, through simulation and two-stage optimization. HOMER PRO software was utilized for both simulation and optimization, while the method based on the removal effects of criteria (MEREC) was employed for criteria weighting in decision-making, in conjunction with the technique for order of preference by similarity to ideal solution (TOPSIS) method. The findings indicate that the battery-hydrogen system is significantly more cost-effective, achieving savings of up to $211,327 in net present cost (NPC) and $0.738 in cost of energy (COE). Furthermore, the battery–hydrogen system demonstrates a greater reliance on renewable energy sources, increasing by up to 23.6% compared to the battery–flywheel system.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 5","pages":"2512-2529"},"PeriodicalIF":3.5,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agglomeration Level and Its Influencing Factors of the Power Industry: A Spatial Econometric Analysis Based on Interprovincial Panel in China","authors":"Tanbo Zhu, Wenxing Li, Wei Bu","doi":"10.1002/ese3.70020","DOIUrl":"https://doi.org/10.1002/ese3.70020","url":null,"abstract":"<p>The agglomeration of the power industry can not only improve industrial production efficiency but also promote energy structure adjustment, which is of great significance for improving national energy security and environmental protection levels. This paper is based on panel data from 30 provinces in China from 2001 to 2021, using the improved location entropy method to measure the agglomeration level of the power industry. The spatial Durbin model (SDM) is used to empirically test the influencing factors and spatial effects of the agglomeration level of the power industry. Research has found that (1) there is a significant spatial correlation in the agglomeration level of China's power industry, and the agglomeration level of the power industry in a region is influenced by neighboring regions; (2) the industrial structure, economies of scale, and power consumption of this region have a significant positive spatial effect on the level of power industry agglomeration, while the population of this region and factors such as the industrial structure, economies of scale, and power consumption of adjacent regions have a significant negative spatial effect on power industry agglomeration. Based on empirical results, relevant suggestions have been proposed to improve the agglomeration level of China's power industry. Based on empirical results, relevant suggestions have been proposed to improve the agglomeration level of China's power industry.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 4","pages":"2153-2163"},"PeriodicalIF":3.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation on the Design of High-Performance Photovoltaic Roof System With the Efficient Luminescent Solar Concentrator","authors":"Yan Ma, Huicong Zhang, Fashe Li","doi":"10.1002/ese3.70082","DOIUrl":"https://doi.org/10.1002/ese3.70082","url":null,"abstract":"<p>In this study, we have fabricated the efficient luminescent solar concentrators (LSCs) with the chemical raw materials of B<sub>2</sub>O<sub>3</sub>–SiO<sub>2</sub>–ZnO, Cs<sub>2</sub>B<sup>I</sup>B<sup>III</sup>X<sub>6</sub>, and copper-based halide, and after integrating with the silicon-based solar cell, the optoelectronic conversion efficiency of this device with the area of 32 × 32 cm<sup>2</sup> could achieve the high value as 10.89%. Due to the high absorptance and transmittance of LSCs, these devices are very suitable for the application of building integrated photovoltaic (BIPV). A simulation model of the photovoltaic roof system was constructed with PVsyst software by using the 32 × 32 cm<sup>2</sup> LSCs as the basic unit. In addition, the performance of photovoltaic roof systems with varied string structures, assembled angles (0° and 30°) and operating status of LSCs are explored, these results indicate that the best string structure of the LSCs working at different operating status. Moreover, the annual power generation capacity of the photovoltaic roof system assembled at 0° could achieve 22,152 kWh, which is 4.70% higher than that of the photovoltaic roof system assembled at 30°. These results could give a reference for the practical construction and optimization of BIPV.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"3000-3012"},"PeriodicalIF":3.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sun Yong, Zhang Zhongshuai, Tian Chenglin, Wang Qingbiao, Shi Zhenyue, Wang Keyong
{"title":"Research on Optimal Charge Structure Selection and Active Control Methods for Subgrade Bench Blasting Based on Multi-Objective Optimization","authors":"Sun Yong, Zhang Zhongshuai, Tian Chenglin, Wang Qingbiao, Shi Zhenyue, Wang Keyong","doi":"10.1002/ese3.70072","DOIUrl":"https://doi.org/10.1002/ese3.70072","url":null,"abstract":"<p>To reduce the peak vibration velocity (PPV) of subgrade bench blasting vibration, the control variable method was used to analyze the blasting effect of different charging methods. Initially, the control variable method was used to evaluate the blasting performance of different charge structures. Subsequent numerical simulations determined the optimal borehole spacing (2.5 m) and row spacing (2 m) to maximize the efficiency of explosion energy utilization. The parameters of the interval charge were further optimized, and the waveform analysis based on MATLAB was used to analyze the vibration interference components. The main research results reveal three key insights: First, compared with the continuous charge, the interval charge has lower PPV and better rock crushing effect. Secondly, the nuclear density estimation analysis intuitively confirms the obvious wave superposition phenomenon in the continuous charge detonation. Third, field verification confirms the simulation results, indicating that the timing start sequence with inter-hole (32 ms) and inter-row (87 ms) delays achieves the best vibration suppression.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"2874-2890"},"PeriodicalIF":3.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70072","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xi Zeng, Jie Wei, Haili Liu, Qingchao Hong, Heyun Liu, Xu Zhang, Wang Chen, Lei Hu, Haonan Liu
{"title":"Pyrolysis Characteristics of Fast-Growing Grasses and the Evolution Behavior of Produced Gases","authors":"Xi Zeng, Jie Wei, Haili Liu, Qingchao Hong, Heyun Liu, Xu Zhang, Wang Chen, Lei Hu, Haonan Liu","doi":"10.1002/ese3.70074","DOIUrl":"https://doi.org/10.1002/ese3.70074","url":null,"abstract":"<p>Fast-growing grass is a sustainable biomass resource because of its low cost and high production. Pyrolysis can convert biomass into sustainable chemicals and fuels. Therefore, the pyrolysis characteristics and the evolution of small molecular gases were studied using TG–FTIR–MS to investigate the pollutant formation mechanism during the pyrolysis of fast-growing grasses. The results revealed that the pyrolysis of the fast-growing grasses occurred in three stages, with weight loss rates of about 1%, 60%, and 3% in each stage. The heating rate had a minor effect on the total weight loss, which was about 65.7%. Increasing the heating rate improved the pyrolysis of the fast-growing grass, and the pyrolysis characteristic index at 30°C/min was 6.57 times that at 10°C/min, the peak emission intensities of NO, NH3, HCN, HNCO, CO, and CO2 all shifted to the high-temperature zone. In general, the heating rate had a noticeable promotion effect on the evolution rate of the small molecular gases, but has the opposite effect on the amount of gas generated. Moreover, the degree of its influence on the different gases varied. This study provides theoretical and practical guidance for energy utilization of fast-growing grasses.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"2901-2910"},"PeriodicalIF":3.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zahid Farooq, Shameem Ahmad Lone, Taha Selim Ustun, Asadur Rahman, Ahmet Onen, Cagil Ozansoy
{"title":"Optimal Control Strategy for Stability Performance Improvement of Hybrid Power Systems With Electric Vehicle Integration","authors":"Zahid Farooq, Shameem Ahmad Lone, Taha Selim Ustun, Asadur Rahman, Ahmet Onen, Cagil Ozansoy","doi":"10.1002/ese3.70066","DOIUrl":"https://doi.org/10.1002/ese3.70066","url":null,"abstract":"<p>The present article explores the frequency control of hybrid power systems integrated with electric vehicles (EVs). The hybrid power system is a complicated nonlinear entity that highlights the significant issue of dynamic control owing to inadequate damping under fluctuating load conditions. In this respect, the present article explores the application of fuzzy logic based advanced controller for power system operations. The proposed controller's efficacy is demonstrated by a comparison of outcomes with other currently established controllers. We compare the fuzzy logic approach against an evolutionary algorithm namely COVID-19 technique. The results show that fuzzy logic works much better than the COVID-19 technique at reducing frequency variations. This is shown by the objective function values and demerit index calculations. The settling time of a fuzzy logic-optimized-PID (FPID) controller is more than 10 percent faster than that of a COVID-19-optimized PID controller. Further, fuzzy logic is used to optimize the MSPID controller. We found that the MSFPID has a 13.8 percent improvement in settling time with respect to FPID. We also conducted an investigation into the impact of EV integration on system stability. Results indicate that system dynamics improve with the increased presence of EVs. A new investigation with EVs for continuous load demand showed fast response from EVs against each load change. Furthermore, the proposed secondary controller exhibits robustness against practical system variations, hence confirming the healthiness of optimized gains. Finally, we test the secondary controller in a more complex dual-area hybrid power system, confirming its effectiveness.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"2772-2787"},"PeriodicalIF":3.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Gas Extraction Technique in Coal Seams Utilizing Hydraulic Fracturing-Dissolution and Analysis of Non-Uniform Propagation of Fracture","authors":"Yun Lei, Yang Ju, Yongxiang Zheng, Xinze Peng","doi":"10.1002/ese3.70070","DOIUrl":"https://doi.org/10.1002/ese3.70070","url":null,"abstract":"<p>Extracting gas from low-permeability coal seams is essential for mine safety and efficiency. To address this challenge, a novel technique combining hydraulic fracturing and dissolution was proposed. The feasibility of this method was verified through simulations based on the distinct element method. Subsequently, the impact of weakened mechanical properties (deformation and strength) on fracture propagation was analyzed. Finally, the possibility of controlling the non-uniform propagation of fractures through treatment parameters was discussed. The results indicate that fractures tend to preferentially expand in weakened zones when deformation parameters or strength parameters deteriorate. Greater degradation of deformation and strength leads to larger fracture offset. The degree of fracture offset can be reduced by increasing the viscosity of fracturing fluid, based on which manual control of fracture offset can be realized. This study introduces a hybrid method combining physical and chemical actions for coal seam gas extraction, offering theoretical guidance for practical applications.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"2842-2855"},"PeriodicalIF":3.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Deng, Fawu He, Qingbin Zeng, Jie Yan, Rangxiong Liu, Dongsheng He, Song Zhou
{"title":"Coordinated Optimal Dispatch of Distribution Grids and P2P Energy Trading Markets","authors":"Jing Deng, Fawu He, Qingbin Zeng, Jie Yan, Rangxiong Liu, Dongsheng He, Song Zhou","doi":"10.1002/ese3.70046","DOIUrl":"https://doi.org/10.1002/ese3.70046","url":null,"abstract":"<p>With the increasing integration of distributed renewable energy, traditional power users are evolving into prosumers capable of both generation and consumption. However, their decentralized nature poses challenges in resource coordination. This study proposes a bi-level optimization framework for distribution networks integrating peer-to-peer (P2P) energy trading and shared energy storage. The upper-level model minimizes distribution system operator (DSO) operational costs, including network losses and storage management, while ensuring voltage stability. The lower-level model enables prosumers to maximize P2P market profits through adaptive load adjustments and shared storage utilization. To address the nonlinear, high-dimensional optimization challenges, an improved Convex-Soft Actor-Critic (C-SAC) algorithm is developed, combining deep reinforcement learning with convex optimization to achieve privacy-preserving distributed coordination. Case studies on an IEEE 33-node system demonstrate that the framework increases prosumer profits by 56.9%, reduces DSO costs by 23.6%, and lowers network losses by 21.5% compared to non-cooperative scenarios. The shared storage system reduces capacity and power requirements by 20% and 14.1%, respectively. The C-SAC algorithm outperforms traditional methods (DDPG, SAC) in convergence speed and economic metrics, showing scalability across larger systems (IEEE 69/118 nodes). This work provides a model-free solution for renewable-rich distribution networks, balancing efficiency and operational security.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 5","pages":"2206-2219"},"PeriodicalIF":3.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Kullback–Leibler Divergence-Based Fault Detection Scheme for 100% Inverter Interfaced Autonomous Microgrids","authors":"Ali Mallahi, Iman Sadeghkhani","doi":"10.1002/ese3.70073","DOIUrl":"https://doi.org/10.1002/ese3.70073","url":null,"abstract":"<p>The development of a dependable and secure protection system is critical for further integration of renewable energy sources into electrical energy systems. To address the bidirectional power flow and limited fault current contribution of 100% inverter-based microgrids, this article presents a differential fault detection scheme (DFDI) based on monitoring the line-end current signals using an intelligent electronic device. The difference in current waveforms of a faulty line is quantified using the Kullback–Leibler divergence similarity measure. The efficacy of the proposed scheme in detecting severe and non-severe fault conditions with various fault inception angles in the presence of measurement noise and nonlinear load for both radial and loop configurations is assessed on two benchmark microgrids. As verified by various simulation scenarios on the benchmark microgrids, the proposed DFDI detects various types of faults in different locations with fault resistance up to 100 Ω. Moreover, it demonstrates high immunity to harmonics and measurement noise up to 25 dB. The results confirm that the proposed method offers a reliable, efficient, and adaptive solution for fault detection in inverter-based microgrids.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":"2891-2900"},"PeriodicalIF":3.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}