Energy Reports最新文献

{"title":"Optimizing double-pass solar air collector efficiency: Impact of a perforated discrete V-angled fins","authors":"Maytham H. Machi ,&nbsp;Istvan Farkas ,&nbsp;János Buzas","doi":"10.1016/j.egyr.2025.01.057","DOIUrl":"10.1016/j.egyr.2025.01.057","url":null,"abstract":"<div><div>The current study evaluates the impact of newly designed perforated discrete V- angled fins on the thermal efficiency of double pass solar air collectors (DPSACs). While previous studies have examined various fin shapes for heat transfer enhancement, no research has focused on discrete V- angled fins specifically within DPSACs. Addressing this gap, the objective of this study is to assess the effectiveness of three unique configurations of the V- angled fin design: Type I (aligned parallel to airflow), Type II (angled at 45˚ to airflow), and Type III (perpendicular to airflow). Experiments compared a finned collector against a standard smooth model at airflow rates of 0.00932 kg/s, 0.01143 kg/s, and 0.01311 kg/s to determine the influence of fin presence and orientation on DPSAC performance. The results demonstrated the finned collector consistently outperformed the smooth collector, achieving relative daily efficiency improvements ranging from 4.1 % to 9.1 %. Specifically, Type I improved between 4.1 % and 5.1 %, Type II showed gains between 5.9 % and 9.1 %, and Type III achieved relative improvements between 4.3 % and 6.1 %. These findings highlight the critical role of fin orientation, with Type II demonstrating the greatest potential for optimizing heat transfer and overall efficiency. This study provides foundational insights for DPSAC design, confirming that perforated discrete V-angled fins significantly enhance collector performance and offering new directions for solar thermal collector innovation.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 2021-2034"},"PeriodicalIF":4.7,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154894","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 power source-load bilayer cooperative planning method for distribution networks based on adaptive ε-dominated multi-objective particle swarm algorithm","authors":"Zhengping Gao ,&nbsp;Anjie Fan ,&nbsp;Jun Han ,&nbsp;Na Wang ,&nbsp;Wenjie Pan ,&nbsp;Haofei Chen ,&nbsp;Chao Cai","doi":"10.1016/j.egyr.2025.01.052","DOIUrl":"10.1016/j.egyr.2025.01.052","url":null,"abstract":"<div><div>Access to large-scale new energy sources and diversified flexible and controllable loads indirectly leads to an increase in uncertainty in the planning of new distribution network construction. Therefore, to realize the new distribution grid power source-load cooperative planning, a two-layer cooperative planning method based on an adaptive ε-dominated multi-objective particle swarm algorithm is proposed. By constructing a new distribution network power source-load planning impact index system and analyzing the new distribution network power source-load planning demand, constructing a new distribution network power source-load multi-objective double-layer cooperative planning model with investment cost, operation cost, and reliability demand as the main objectives, it innovatively applies an adaptive ε-dominated multi-objective particle swarm algorithm to transform the opportunity constraint problem into a convex optimization problem, solving the double-layer model, and realizing the new distribution network power source-load cooperative planning. Realize the new distribution network power source-load two-layer cooperative planning. The experimental results show that, using the design method for multi-objective cooperative planning, in each system node, the loss value is no more than 24 kW, and the highest loss value is only 17.35 kW, which indicates that the design planning scheme produces smaller line losses and better meets the operational reliability requirements of the new distribution network. At the same time, the total annual comprehensive cost generated by using the design method is 8,989,660,000 RMB, the substation expansion/new construction and line expansion/new construction cost consumption is low, and the cost of purchasing electricity is relatively balanced.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1971-1979"},"PeriodicalIF":4.7,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154381","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 two-stage decision-dependent stochastic strategy for de-icing maintenance of ice-covered transmission lines","authors":"Yuqian Cao ,&nbsp;Xiao Xu ,&nbsp;Jiayuan Fan ,&nbsp;Wenhui Zeng ,&nbsp;Shuang Lv ,&nbsp;Youbo Liu ,&nbsp;Junyong Liu","doi":"10.1016/j.egyr.2025.01.029","DOIUrl":"10.1016/j.egyr.2025.01.029","url":null,"abstract":"<div><div>Heavy ice accretions covering transmission lines potentially cause major damage to transmission infrastructure. The timely de-icing maintenance for ice-covered transmission lines (ITL) is paramount in mitigating damages caused by ice storms. Aiming to determine the optimal maintenance sequence and operation strategies, this study proposes a two-stage stochastic optimization method that incorporates decision-dependent uncertainty (DDU). First, to capture the inherent dependency of potential fault scenario probabilities on de-icing decisions, the DDU is incorporated into the stochastic optimization model. An equivalent transformation method is adopted to convert the nonlinear scenario-decision relationship into a mixed-integer linear programming (MILP) model. Second, a two-stage optimization model with DDU is established, where the first stage coordinates the de-icing maintenance sequence and unit commitment, and the second stage refines the operation strategy based on specific scenarios. A Markov chain is constructed to represent the probability transition matrix for the states of iced transmission lines, with a backward reduction method applied to manage the scenario dimensionality and prevent explosion. Case studies on the modified IEEE 30-bus system validate the effectiveness and robustness of the proposed approach.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1959-1970"},"PeriodicalIF":4.7,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154380","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":"Data-driven policy mapping for safe RL-based energy management systems","authors":"Théo Zangato,&nbsp;Aomar Osmani,&nbsp;Pegah Alizadeh","doi":"10.1016/j.egyr.2025.01.002","DOIUrl":"10.1016/j.egyr.2025.01.002","url":null,"abstract":"<div><div>Increasing global energy demand and renewable integration complexity have placed buildings at the center of sustainable energy management. We present a three-step reinforcement learning (RL)-based Building Energy Management System (BEMS) that combines clustering, forecasting, and constrained policy learning to address scalability, adaptability, and safety challenges. First, we cluster non-shiftable load profiles to identify common consumption patterns, enabling policy generalization and transfer without retraining for each new building. Next, we integrate an LSTM-based forecasting module to anticipate future states, improving the RL agent’s responsiveness to dynamic conditions. Lastly, domain-informed action masking ensures safe exploration and operation, preventing harmful decisions. Evaluated on real-world data, our approach reduces operating costs by up to 15% for certain building types, maintains stable environmental performance, and quickly classifies and optimizes new buildings with limited data. It also adapts to stochastic tariff changes without retraining. Overall, this framework delivers scalable, robust, and cost-effective building energy management.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1888-1909"},"PeriodicalIF":4.7,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154891","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 circuit design for time-dependent short circuit measurement and analysis","authors":"Alex Mwololo Kimuya","doi":"10.1016/j.egyr.2025.01.049","DOIUrl":"10.1016/j.egyr.2025.01.049","url":null,"abstract":"<div><div>Electrical short circuits pose significant challenges in power systems and electronics, where traditional models often fail to accurately capture the dynamic behavior of voltage, current, and resistance during fault events. The problem stems from the assumption that short circuit currents tend towards infinite values, based on exponential growth models, and the limitation of current protection systems in providing precise measurements or preventing backflow currents. This paper introduces a novel framework for measuring and understanding short circuit phenomena, challenging these conventional assumptions. The objective is to present a new experimental and theoretical approach for short circuit analysis, incorporating time-varying resistance and current. The presented framework involves an unconventional measurement system based on a Modified Ohm’s Law and a parallel diode configuration. Experiments were conducted over <span><math><mn>3</mn></math></span>-minute durations with data recorded at <span><math><mn>1</mn></math></span>-second intervals using an Arduino Microcontroller. This system captures real-time electrical quantities during a short circuit event, providing a more accurate representation compared to traditional instantaneous models. The paper results demonstrate that, contrary to traditional models, short circuit currents converge to finite values rather than tending to infinity. Higher initial supply voltages lead to higher short circuit currents, with voltage and resistance stabilizing at constant values. These observations lead to the introduction of two new characteristic properties: “<em>minimal short voltage</em>” and “<em>minimal short resistance</em>”, which describe the stabilized values observed during a short circuit and challenge traditional fault conditions. The novelty of this paper lies in the development of a continuous, time-dependent framework for short circuit analysis, offering a universal model applicable to a wide range of systems. The findings have significant implications for improving short circuit protection systems, enabling more reliable and accurate detection and enhancing the understanding of electrical short circuits under dynamic conditions.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1928-1949"},"PeriodicalIF":4.7,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154792","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":"Performance enhancement for stand-alone wind energy conversion system using super-twisting algorithm","authors":"Daniel Borice Tchoumtcha,&nbsp;Clotaire Thierry Sanjong Dagang,&nbsp;Godpromesse Kenné","doi":"10.1016/j.egyr.2025.01.048","DOIUrl":"10.1016/j.egyr.2025.01.048","url":null,"abstract":"<div><div>This paper presents the super-twisting algorithm (STA) of a permanent magnet synchronous generator (PMSG) associated with a rectifier, a bidirectional DC–DC converter, and an inverter, all controlled by pulse width modulation (PWM). The bidirectional DC–DC converter, which feeds a battery, is controlled to maintain the DC bus voltage at a desired constant value. The purpose of the developed STA is to regulate the d-axis current, monitor the maximum power point, regulate the DC bus voltage by controlling the charge/discharge of a parallel-mounted battery, and regulate the voltage at the load. The STA was studied, and the results obtained were compared with the synergetic control method and the fractional-order PI control method. The results show that the mean value of the THD of the PMSG stator current for the synergetic control is 90.1%, for the FO-PI control is 94.80%, and for the STA is 94.85%; the mean value of the THD of the current at the load terminals is 0.92% for the synergetic control, 1.371% for the FO-PI, and 0.4775% for the STA; the mean value of the THD of the voltage at the load terminals is 1.22% for the synergetic control, 1.618% for the FO-PI, and 0.595% for the STA; the mean value of the relative error in rotational speed is 4.7306e−05 for the synergetic control, 7.9849e−04 for the FO-PI, and 4.5787e−04 for the STA; the mean value of the relative error in d-axis load terminal voltage is 0.0161 for the synergetic control, 0.0035 for the FO-PI, and 0.0023 for the STA; the mean value of the relative error in DC bus voltage is 0.0156 for the synergetic control, 0.0140 for the FO-PI, and 0.0067 for the STA. Simulations performed in the Matlab/Simulink numerical environment demonstrated the effectiveness of the proposed control method when the wind power system is operated under load variations and parameter uncertainties.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1910-1926"},"PeriodicalIF":4.7,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154892","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":"Production, investment and financial plan for a \"natural gas+\" integrated energy enterprise: An assessment using system dynamics and multi-objective optimization model","authors":"Ye Xiong ,&nbsp;Yifan Wang ,&nbsp;Yue Zhang ,&nbsp;Jieke Chen ,&nbsp;Mengxi Wu","doi":"10.1016/j.egyr.2025.01.042","DOIUrl":"10.1016/j.egyr.2025.01.042","url":null,"abstract":"<div><div>This study explores the critical challenge of balancing energy supply, investment efficiency, and profitability during the transition of natural gas enterprises into “natural gas+ ” integrated energy systems. In a dynamic and uncertain environment, these systems face competing objectives: the carbon neutrality, resource optimization, and financial sustainability. To address these complexities, this study proposes a System Dynamics-Multi-Objective Programming (SD-MOP) model, grounded in the “Business-Production-Investment-Financial-Target” (BPIFT) framework, to integrate production, investment, and financial planning. The model incorporates SD to capture dynamic feedback among production, investment, and financial processes; MOP to resolve conflicting goals; Monte Carlo simulations to assess uncertainties across 200 scenarios; and the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to generate Pareto-optimal solutions. Results identify key variables, such as the Reserve Replacement Ratio (RRR) and Single Well Production (SWP), as critical for maintaining system stability. Scenario analyses demonstrate that the model balances competing objectives, achieving a 14 % improvement in energy supply and a 19 % increase in profitability, while highlighting the trade-offs between maximizing energy supply and profitability under manageable investment levels. Overall, these findings establish the model as a practical decision-making tool for integrated energy enterprises, aligning enterprise strategies with sustainability goals.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1859-1874"},"PeriodicalIF":4.7,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154890","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":"Two-stage operation optimization strategy of park integrated energy system cluster coupled with hydrogen energy storage","authors":"Chaoran He,&nbsp;Jiale Xie","doi":"10.1016/j.egyr.2025.01.023","DOIUrl":"10.1016/j.egyr.2025.01.023","url":null,"abstract":"<div><div>In response to the issues of insufficient flexibility in the operation of hydrogen storage and hydrogen production equipment with poor economic viability when operated independently in the park, firstly, a comprehensive energy system model for hydrogen storage and power generation which considering the multi-operational conditions of alkaline electrolyzers (ELE) is constructed. This model is integrated into the comprehensive energy system of the park as a multi-energy supply device. Multiple park comprehensive energy systems are then interconnected to form a park comprehensive energy system cluster through the sharing of electric energy. Subsequently, an operational optimization strategy is proposed to address the issues of electric energy sharing and profit settlement in the park cluster system. This strategy consists of two stages. In the first stage, the alternating direction method of multipliers with dynamic step size (DSS-ADMM) is employed to solve the electric energy transaction volume among parks. In the second stage, based on the operating costs of the park cluster system under different degrees of electric energy sharing, the Shapley value method from cooperative game theory is used to settle park profits. Finally, the results indicate that the operational mode of hydrogen storage which considering the multi-operational conditions of alkaline ELE effectively enhances the flexibility in preparing hydrogen during electrolysis, meeting various energy supply needs within the park. The sharing of electric energy among parks promotes the reduction of park operating costs, resulting in a 6.05 % decrease in the total cost of the park cluster system. Meanwhile, the Shapley value method effectively settles park profits, with individual parks receiving profits of 1652.9583 ¥, 404.2334 ¥, and 734.7739 ¥, respectively.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1846-1858"},"PeriodicalIF":4.7,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154795","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":"Study on power system resilience assessment considering cascading failures during wildfire disasters","authors":"Baohong Li,&nbsp;Changle Liu,&nbsp;Yue Yin,&nbsp;Qin Jiang,&nbsp;Yingmin Zhang,&nbsp;Tianqi Liu","doi":"10.1016/j.egyr.2025.01.047","DOIUrl":"10.1016/j.egyr.2025.01.047","url":null,"abstract":"<div><div>Wildfire disasters, driven by climate change, have increased in frequency and intensity over the past decades, posing unprecedented challenges to the resilience of power systems. These disasters often lead to cascading failures, resulting in severe power outages and significant economic losses. Accurate and efficient resilience assessment is critical for understanding the vulnerabilities of power systems and supporting effective decision-making during wildfire disasters. This paper proposes a comprehensive framework for assessing the resilience of power systems impacted by wildfire disasters. The framework evaluates the probability of transmission line failure, cascading failure-induced load shedding, and resilience indices that capture transient processes. To enhance computational efficiency, the Impact Increment State Enumeration method is incorporated, enabling fast enumeration of various failure elements. Additionally, the sparsity of failure probability sets is leveraged to further optimize the efficiency of the IISE algorithm. The proposed method facilitates rapid and accurate resilience assessments for power systems during wildfire disasters. The framework is validated using both the IEEE 9-bus system and a practical power system in a wildfire-prone area, demonstrating its effectiveness and practical applicability. Results show that the framework can provide actionable insights for resilience planning and decision-making, helping evaluate the impacts of wildfire disasters on power system operations.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1819-1833"},"PeriodicalIF":4.7,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154793","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":"Colombian agroindustrial crop residues: Thermochemical characterization and evaluation of their energy potential","authors":"Orlando Salcedo-Puerto,&nbsp;Clara Mendoza-Martinez,&nbsp;Esa Vakkilainen","doi":"10.1016/j.egyr.2025.01.041","DOIUrl":"10.1016/j.egyr.2025.01.041","url":null,"abstract":"<div><div>Agricultural waste has been identified as a possible reservoir for generating valuable products and energy sources. However, its diverse and non-standard composition poses challenges to maximizing its potential in product generation. This study aims to characterize Colombian agroindustrial crop residues, such as cocoa pod husk (CPH), cocoa bean shell (CBS), sugar cane bagasse (SCB), and plantain leaves (PL), as sustainable and reliable sources and feedstocks for conversion processes, given their high production in the country. Proximate, ultimate, and biochemical compositions, energy content, and thermogravimetric analysis were performed on the biomass samples. The results showed that thermochemical processes can be applied to dried CPH, however, its high moisture content upon harvesting makes it more suitable for biochemical treatment despite its high lignin content. CBS naturally attains brittleness and dryness, making it a good candidate for use in densification processes, e.g., pellets. However, CBS's elevated nitrogen content suggests its use in co-combustion. The characteristics of SCB make it ideal for cellulosic ethanol generation, considering SCB's high availability in the country and the successful implementation of ethanol technology in the region. Upon harvest, PL has high moisture and inorganic content. Through hydrothermal treatment, PL can be converted into hydrochar with increased hydrophobicity and reduced inorganic content. This research promotes the advancement of environmentally sustainable bioenergy solutions in Colombia. By utilizing these abundant agricultural residues, Colombia stands to realize the potential for a sustainable, carbon-neutral energy source, while improving waste management practices, and fostering economic growth within the agricultural sector.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1802-1816"},"PeriodicalIF":4.7,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154796","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}