Energy Reports最新文献

{"title":"Energy performance assessment: From static to dynamic benchmarking and cluster-based analysis in residential building","authors":"Houda Er-Retby ,&nbsp;Mohamed Oualid Mghazli ,&nbsp;Mohamed El Mankibi ,&nbsp;Mostafa Benzaazoua","doi":"10.1016/j.egyr.2025.12.038","DOIUrl":"10.1016/j.egyr.2025.12.038","url":null,"abstract":"<div><div>Benchmarking residential building energy consumption is a critical tool for evaluating performance and identifying anomalous energy usage. This research proposes a systematic methodology for developing dynamic energy benchmarks for individual residential buildings in semi-arid climates. The approach combines thermal load data from a TRNsys numerical model with in-situ data on occupancy, weather, and equipment consumption to ensure a realistic representation of building operation. The methodology involves three steps: (i) Benchmarking setup and data analysis; (ii) Cluster analysis and baseline identification for static benchmarking; and (iii) Integration of dynamic benchmarks for continuous monitoring. Using k-means clustering, the building's total energy demand is categorized into three clusters based on different data inputs that align with seasonal variability: EB 0 is designed for high cooling demand, EB 1 for high heating demand, and EB 2 for balanced energy needs (mid-season conditions). Static benchmarks set baselines within each cluster and identify potential areas for improvement. However, static benchmarks alone are insufficient for capturing fluctuations in household energy performance across time. To address this, the framework incorporates dynamic benchmarking through control charts, which continuously update with new data, enabling the detection of deviations, irregularities, or shifts in usage patterns. The proposed framework provides a transferable methodology that not only supports the assessment of prototype buildings but can also be applied to operational dwellings in a similar context. By integrating empirical datasets, machine learning techniques, and dynamic performance monitoring, the approach offers an adaptive tool to support energy management strategies while accounting for seasonal and behavioral variability.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108901"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low voltage distribution grids optimization with increasing distributed energy generation: A review","authors":"Bilal Khan ,&nbsp;Sadam Hussain ,&nbsp;Hayat Ullah ,&nbsp;Chunyan Lai ,&nbsp;Ahmed A. Mohamed ,&nbsp;Ursula Eicker","doi":"10.1016/j.egyr.2025.12.050","DOIUrl":"10.1016/j.egyr.2025.12.050","url":null,"abstract":"<div><div>The growing integration of distributed generation resources, particularly renewable such as solar photovoltaics, is transforming modern low-voltage power distribution networks. While these technologies offer substantial environmental benefits through reduced greenhouse gas emissions, their widespread adoption poses new challenges for grid stability, reliability, and control. Motivated by the need for sustainable and resilient power systems, this paper thoroughly reviews existing models, control strategies, and optimization frameworks developed for the operation of renewable distributed generation within the power distribution networks. The review synthesizes theoretical modeling approaches, including device-level representations and optimal powerflow formulations, alongside advanced control techniques for voltage regulation, reactive power management, and distributed energy resource optimizations. Quantitative analyses from recent studies indicate that coordinated voltage control can reduce voltage violations by up to 20%, while integrated voltage-reactive power control can decrease imbalances by approximately 25%, and optimal tap control strategies can increase PV hosting capacity by up to 67%. Furthermore, short-term solar forecasting has been shown to reduce unnecessary tap changer operations by nearly 56%, enhancing component longevity and operational efficiency. Collectively, these results demonstrate that advanced data-driven and coordinated control frameworks can significantly improve the performance, resilience, and flexibility of the power distribution networks. The paper concludes that realizing these benefits on a large scale requires holistic approaches that integrate technical innovation with economic and regulatory considerations, thereby paving the way for the sustainable transition of low-voltage power systems toward high penetration of the distributed generation.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108913"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of electric vehicle routing: A multi-criteria intelligent decision framework for efficient and scalable mobility","authors":"Anandha Prakash P. ,&nbsp;Radha R.","doi":"10.1016/j.egyr.2025.12.049","DOIUrl":"10.1016/j.egyr.2025.12.049","url":null,"abstract":"<div><div>Electric vehicle adoption is seriously hindered by the short battery range, uneven distribution of charging infrastructure and inconsistent waiting time at charging stations, which cannot be met by regular navigation systems that have no multi-dimensional processing capacity. The acute necessity to have intelligent routing systems to optimize the electric vehicle pathfinding minimizing the use of energy and delay in travel encourages the in-depth research about the advanced computational methods. The hypothesis that real-time geospatial data trends used in conjunction with stochastic queuing theory and fuzzy logic can significantly enhance the efficiency of electric vehicle routing and reduce the amount of time and energy spent on travel is comprehended in this study. A six-phase model is a unified system that integrates Google Maps and OpenChargeMap data, Haversine based spherical distance calculations of graph Pruning, Poisson arrival models of demand forecasting, multi-server queue analysis of congestion forecasting, dynamic assessment of stations by fuzzy inference systems, and an improved pathfinding algorithm of multi-critera route optimization. Experimental validation in a variety of routing scenarios shows significant performance improvements: 31.5% reduction of the charging station waiting time, 6.2% reduction of energy consumption, 5.8% improvement of travel time efficiency, 28% reduction of the route deviation, 20%–33% of charging stops required compared to classical algorithms, 43% fewer charging stops are required compared to DDQN. 29% fewer charging stops compared to MPC. Computational efficiency is improved by 10.3X and 7.7X respectively. The accuracy of the routes increases by 91.7% compared to DDQN and 78.8% compared to MPC whereas memory efficiency verifies decreases of 82% and 67% accordingly. The framework is a scalable, infrastructure-conscious and computationally effective deployment of electric vehicles in the urban transit systems that is practical in complex and staged urban transportation systems, moving transportation systems to sustainability in terms of mobility.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108912"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fighting against energy consumption risk by diversifying energy sources","authors":"Bekhzod Kuziboev ,&nbsp;Magdalena Radulescu ,&nbsp;A. Nazif Çatık ,&nbsp;Samariddin Makhmudov ,&nbsp;Esra Balli ,&nbsp;Sardor Allayarov","doi":"10.1016/j.egyr.2025.12.048","DOIUrl":"10.1016/j.egyr.2025.12.048","url":null,"abstract":"<div><div>Currently economic turbulence and geopolitical fluctuations are causing high prices and supply disruptions in energy markets. As a result, energy consumption risks are becoming more severe. Diversifying energy sources is one way to address these challenges. This study examines how energy source diversification influences energy consumption risk in 36 developed countries from 2000 to 2018, using Method of Moments Quantile Regression (MMQR) and Panel Threshold Regression (PTR) Models. The MMQR captures heterogeneous effects across various levels of energy consumption risk, offering insights into how diversification strategies differ in effectiveness across the risk distribution. The PTR Model identifies potential nonlinear relationships and regime-dependent effects based on economic development levels, enabling an analysis of how the diversification-risk relationship changes across different stages of economic advancement. These methods are well-suited for the non-normal distribution of variables and the potential structural breaks in the relationship between energy diversification and consumption risk. The findings align with theory, revealing that the effects of energy source diversification on energy consumption risk are negative across all quantiles, from 10 % to 90 %. Furthermore, PTR results reveal that energy source diversification reduces energy consumption risk in both the lower and upper regimes of economic development. The study's results provide valuable guidelines for policymakers.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108911"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential analysis of in-situ hydrogen generation in narrow reservoir with alternating steam-oxygen injection","authors":"Xue Bai ,&nbsp;Na Jia ,&nbsp;Yee-Chung Jin ,&nbsp;Ezeddin Shirif","doi":"10.1016/j.egyr.2025.12.030","DOIUrl":"10.1016/j.egyr.2025.12.030","url":null,"abstract":"<div><div>The growing demand for carbon-neutral energy has driven advances in clean energy utilization and hydrocarbon conversion. This study introduces a novel in-situ hydrogen generation method using steam–oxygen alternating injection and high-temperature thermal reactions within a heterogeneous reservoir model. The workflow integrates WinProp/CMG thermal–reaction simulation with three sub-models that capture porosity–permeability contrasts, saturation variations, and fault barriers. Before gas breakthrough, the system maintains 600–800 ℃ with a hydrogen yield of 1781.3 m³ per m³ of fossil fuel and 34.94 % oil recovery. Sub-model 1 shows that fault-induced breakthrough delay extends the hydrogen-generation period, reaching a peak of 2221.7 m³ at approximately 700 ℃. A categorical operating window emerges: below 600 ℃ favours combustion-dominated reactions, while above 800 ℃ accelerates coke oxidation and suppresses H₂ yield. After a breakthrough, continued O₂ injection lowers temperature and sharply reduces productivity, emphasizing the importance of thermal management and cycle timing. Compared with conventional underground coal gasification, alternating injection improves hydrogen recovery by 8.8 % and reduces greenhouse gas emissions by 8.2–15.6 % by suppressing H₂ and CO combustion. 3D simulations reveal conical cavity growth driven by pressure gradients and fault-moderated continuity, supporting the feasibility of screening for unconventional settings.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108893"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetorheological elastomers: Experimental characterization and dependences of the inverse effect","authors":"Guido Napolitano Dell’Annunziata,&nbsp;Renato Brancati,&nbsp;Giandomenico Di Massa,&nbsp;Andrea Genovese","doi":"10.1016/j.egyr.2025.12.015","DOIUrl":"10.1016/j.egyr.2025.12.015","url":null,"abstract":"<div><div>Despite the growing interest in magnetorheological elastomers (MREs), a comprehensive understanding of their inverse effect continues to be lacking, hindering the full exploitation of these materials for sensing and energy harvesting applications. In this work, we present a systematic and extensive experimental study aimed at elucidating the influence of composition, fabrication processes, and geometrical features on the inverse magnetorheological response of MREs. New insights into the functional dependencies are provided, advancing current knowledge on the mechanisms governing the behavior of these materials under mechanical stimuli. These findings establish an engineering basis for the informed design and optimization of MRE-based devices, offering useful strategies for their effective realization depending on the intended application in emerging technological fields where large deformations at low frequencies are present.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108878"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Promoting green economic growth: The role of renewable energy, energy efficiency, environmental regulation, and governance in the G7 countries","authors":"Roengchai Tansuchat ,&nbsp;Siraprapa Yosthongngam","doi":"10.1016/j.egyr.2025.12.055","DOIUrl":"10.1016/j.egyr.2025.12.055","url":null,"abstract":"<div><div>Political considerations are becoming increasingly important in ensuring sustainable growth. This research has studied the roles of renewable energy consumption, energy efficiency, government effectiveness, and environmental regulation in fostering green economic growth in the G7 countries from 2000 to 2021. Using a Panel Autoregressive Distributed Lag (Panel ARDL) model, we employ three robust estimation techniques, Common Correlated Effects Mean Group (CCEMG), Augmented Mean Group (AMG), and Driscoll-Kraay Standard Errors (DKSE) to address challenges related to cross-sectional dependence and slope homogeneity. The major results confirm that, in the long run, increases in renewable energy use, improvements in energy efficiency, institutional effectiveness, and stringent environmental regulation significantly promote green economic growth. In contrast, short-run dynamics reveal transitional disruptions, particularly from renewable energy integration, efficiency restructuring, and regulatory compliance, that temporarily dampen output before convergence to equilibrium. Furthermore, country-specific AMG estimations reveal both convergence and divergence in policy impacts, underscoring the importance of national contexts in shaping green transition outcomes. These findings underscore the importance of cohesive, forward-looking policy frameworks that align economic and environmental priorities. By strategically integrating governance quality, targeted investment, and regulatory innovation, advanced economies can navigate transitional challenges while steering toward long-term green growth. Such integrated strategies are essential not only for mitigating adjustment costs but also for sustaining inclusive, resilient, and low-carbon development trajectories.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108918"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid model-driven short-term load forecasting and voltage stability assessment for energy storage optimization in coal mine power supply systems","authors":"Tian Xia,&nbsp;Sheng Chen,&nbsp;Zhiqi Chen,&nbsp;Qiuhua Lin,&nbsp;Tongfu Fu","doi":"10.1016/j.egyr.2025.108984","DOIUrl":"10.1016/j.egyr.2025.108984","url":null,"abstract":"<div><div>Coal mining power supply systems demand exceptionally high voltage stability, as even minor deviations may cause significant operational losses. To assess voltage stability in these systems, this study develops an integrated framework for energy storage optimization and scheduling. A hybrid model combining time series decomposition and Long Short-Term Memory (LSTM) networks is employed for short-term load forecasting. Through systematic sensitivity analysis, an optimal configuration with a 7-day input window and 128 hidden units is identified, reducing the RMSE by nearly 15 % compared to SARIMA and 8 % compared to GRU, making it significantly more accurate for load forecasting. Based on the IEEE 30-bus test system, combined with the load forecasting loads, Newton-Raphson power flow analysis and a parabolic voltage risk assessment model are implemented to accurately identify nodes experiencing voltage violations and quantify risk severity. Analysis reveals that certain nodes approach the voltage limit due to the sudden increase of load randomness. To address this, a mixed-integer second-order cone programming (MISOCP) model is constructed to optimize the configuration of energy storage, and the optimal installation locations and operation strategies of energy storage devices are solved. In the application of IEEE 30-bus system, the maximum voltage fluctuation is reduced from ±7 % to ±5 %, which significantly reduces the node voltage risk index. The research establishes an efficient and economically viable methodology for deploying energy storage in coal mining power supply systems. It provides a novel and practical solution for mitigating voltage quality issues, with critical implications for enhancing power supply reliability, reducing equipment degradation, and minimizing production interruption risks.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108984"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reviewing the EKC hypothesis: Does renewable energy reduce carbon emissions and environmental-economics impact?","authors":"Yuanyuan Liu","doi":"10.1016/j.egyr.2025.12.054","DOIUrl":"10.1016/j.egyr.2025.12.054","url":null,"abstract":"<div><div>Drawing on the theoretical concepts of the Environmental Kuznets Curve (EKC), this paper analyzes the effects of renewable energy on carbon emissions and environmental status in Malaysia. The EKC makes the hypothesis that a country’s environmental condition deteriorates as it grows economically but improves when the country reaches a certain level of economic development. We employ ARDL &amp; FMOLS techniques to examine such relationships for data covering the period from 1985 to 2020. Governments of the different implementing countries also put several policies into practice during this period, but these faced some challenges. Renewable energy sources will only grow when the public gives their approval. The usage of renewable energy is determined by the measure of convenience that the technology provides as well as the practical utility when embraced by the people. That is why reducing the cost of renewable energy in general and for the consumer in particular is critical. Measures should also be instilled on issues that may do with the public concern with renewable energy policies. Based on the first stage of EKC in the case of China, we establish that energy consumption has a positive effect on carbon emissions. But as Malaysia’s economy advances, clean electricity such as hydro, solar, and biofuels are playing a major role in cutting emissions. That supports the EKC’s further stage where the increase in per capita income is linked with the improvement of environmental conditions. Our analysis reveals that streamlining policies such as feed-in tariffs and the Renewable Energy Act 2011 have been important in enhancing clean electricity in China. Though at the moment many countries rely on the usage of fossil fuels, renewable energy is a promising way to decrease the negative impact on the environment. As a last note, it emerges that the current research supports the argument that financial subsidies for renewable energy resources in China should be sustained. This appeared to be the thinking for addressing problems such as pollution, poor standard of living, and sustainability of the environment.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108917"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing a nearly zero energy school sample located in a rough climate","authors":"Salah Vaisi ,&nbsp;Shadieh Sayari ,&nbsp;Honia Modares Gorji ,&nbsp;Mohammadjavad Mahdavinejad","doi":"10.1016/j.egyr.2025.108939","DOIUrl":"10.1016/j.egyr.2025.108939","url":null,"abstract":"<div><div>Buildings are responsible for approximately 30 % of total energy consumption and 40 % of CO₂ emissions worldwide. Fossil fuel consumption in buildings is a significant contributor to global warming. Implementing and evaluating Nearly Zero Energy Building (NZEB) standards in schools is a vital approach to bridging the gap between theory and practice, aiming to combat climate change while enhancing the quality of educational spaces. Testing standards in practice and at the design stage of buildings have been less studied. Given the limited research in this field, this study focuses on providing practical design guidelines for architects, engineers, and the construction industry. A sample NZEB secondary school was designed and validated against the actual energy consumption data. Therefore, the energy consumption and daylight metric factors were calculated using EnergyPlus and Radiance simulation engines through Ladybug tools. To understand the weight of each parameter, the One Factor at A Time (OFAT) sensitivity analysis was also conducted. The results show that the energy demand can be reduced from 180 kWh/m²/yr, belonging to a conventional school, to approximately 98 kWh/m²/yr, i.e., 46 % energy demand decrease. Finally, particular design strategies and guidelines are recommended that could be applied in the primary step of architectural design in a rough climate.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108939"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}