Energy ReportsPub Date : 2026-06-01Epub Date: 2025-12-15DOI: 10.1016/j.egyr.2025.09.047
Xin Yu , Chen She , Farid Gholizadeh , Yi-Peng Xu
{"title":"Retraction notice to \" Numerical investigation of a new combined energy cycle based on Miller cycle, Organic Rankine cycle, Stirling engine and alkaline fuel cell \" [Energy Reports (2021) 5406–5419]","authors":"Xin Yu , Chen She , Farid Gholizadeh , Yi-Peng Xu","doi":"10.1016/j.egyr.2025.09.047","DOIUrl":"10.1016/j.egyr.2025.09.047","url":null,"abstract":"","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108690"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788906","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":"Integrated methanol production strategy based on hydrothermal gasification","authors":"Seyed Poya Rahimi , Ahmad Hajinezhad , Somayeh Hajinezhad , Seyed Farhan Moosavian , Reza Fattahi","doi":"10.1016/j.egyr.2025.12.043","DOIUrl":"10.1016/j.egyr.2025.12.043","url":null,"abstract":"<div><div>The transition from reliance on fossil fuels to renewable energy sources is accelerating at a remarkable pace. In this context, hydrothermal gasification (HTG) was investigated. Given its considerable energy demands, integration with green methanol production via excess heat utilization were proposed. The modeling and simulation were conducted through an integrated use of Aspen Plus and Aspen Energy Analyzer (AEA) software packages, enabling a practical assessment of the operational and managerial conditions as well as the potential performance of the integrated system. Based on the critical conditions identified in the existing literature, process conducts a sensitivity analysis within a temperature range of 400–900°C and pressures ranging from 23 to 30 MPa. This integration, coupled with energy optimization, resulted in a substantial reduction of energy consumption by 76.08 %, Given that it is capable of producing methanol with a purity of over 97 % on a semi-industrial scale in order to contributing to advancements in the field of renewable energy.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108906"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789018","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}
Energy ReportsPub Date : 2026-06-01Epub Date: 2025-12-16DOI: 10.1016/j.egyr.2025.12.039
Qian Yang , Yalu Sun , Zhuxiu Wang , Xueqing Dong , Jianfeng Li
{"title":"Research on power angle and voltage dominated instability mode of synchronous generator – wind power transmission system based on critical voltage","authors":"Qian Yang , Yalu Sun , Zhuxiu Wang , Xueqing Dong , Jianfeng Li","doi":"10.1016/j.egyr.2025.12.039","DOIUrl":"10.1016/j.egyr.2025.12.039","url":null,"abstract":"<div><div>Under the scenario of joint power transmission involving traditional synchronous generator and large-scale renewable energy sources, the power angle and voltage instability modes in the sending-end system exhibit complex interactions. Distinguishing the dominant instability mode and establishing corresponding criteria remain critical challenges. This research first establishes an equivalent model for synchronous generator - wind power transmission system, applying Thévenin equivalence to derive the analytical relationship between the synchronous generator’s power angle and the grid connection point voltage. Next, based on instability modes under different operating conditions, it reveals that as the proportion of renewable energy output increases, the system instability transitions from power angle instability to voltage instability. Subsequently, a calculation method for the critical power angle stability point is proposed by analyzing post-fault transient power angle curve offsets, while a critical voltage stability point calculation method and qualitative analysis method considering low-voltage ride-through (LVRT) dynamic characteristics are introduced under static voltage stability constraints. According to the Lyapunov function method, the critical stability mode is determined by identifying which system potential energy reaches its critical point first. The mode with the higher critical voltage is defined as the dominant instability mode. Finally, the validity of the proposed criteria is verified through time-domain simulations using PSD-BPA on both small-scale system and practical power grid.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108902"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788945","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}
Energy ReportsPub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.egyr.2025.108992
Futao Yang , Yongji Cao , Shouyuan Wu , Changgang Li , Baoliang Li
{"title":"Optimal scheduling of active distribution network with ice storage system based on deep reinforcement learning","authors":"Futao Yang , Yongji Cao , Shouyuan Wu , Changgang Li , Baoliang Li","doi":"10.1016/j.egyr.2025.108992","DOIUrl":"10.1016/j.egyr.2025.108992","url":null,"abstract":"<div><div>With the increase of renewable energy sources (RESs) and peak loads, the active distribution network (ADN) is faced with huge burdens in active power balance. The ice storage system (ISS) can improve the match degree between the cooling load and distributed RESs. This paper proposes an optimal scheduling scheme of ADN with ISS based on deep reinforcement learning (DRL). First, taking into account the operational flexibility of the ISS, an optimal scheduling model is established for the ADN to minimize the operation cost and RES curtailment. Then, the scheduling problem is modelled as a Markov decision process. And an actor-critic based DRL framework is developed to solve the optimization model, where the state space, action set and reward function are designed. Furthermore, an improved twin delayed deep deterministic policy gradient (TD3) algorithm with multi-experience replay buffers is employed to improve training stability and efficiency. The case study demonstrates the effectiveness of the proposed scheme, which guarantees reliable power supply-demand balance and reduce the curtailment of distributed RESs.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108992"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921505","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}
Energy ReportsPub Date : 2026-06-01Epub Date: 2026-01-08DOI: 10.1016/j.egyr.2025.108973
Nhu Anh Phan, Lisa Göransson, Filip Johnsson
{"title":"Mind the gap: Mixed-methods approach to investigate transition bottlenecks to low-carbon energy futures","authors":"Nhu Anh Phan, Lisa Göransson, Filip Johnsson","doi":"10.1016/j.egyr.2025.108973","DOIUrl":"10.1016/j.egyr.2025.108973","url":null,"abstract":"<div><div>Electrification of transport and industry, a crucial pathway for emission mitigation, may result in a large increase of electricity demand in Sweden. In this study, we investigate the transition bottlenecks for Sweden's electrification using a mixed-methods approach. We first use energy systems modeling to identify cost-efficient combinations of generation, storage, and demand-side flexibility that can meet the projected demand from electrification. Three cases are applied that differ in predetermined investments in offshore wind power and nuclear power. We then apply a multi-level perspective analysis on the three cases with the aim to map out the main characteristics of the Swedish electricity system. We base this on historical development, as well as the impacting landscape, indicating broad, long-term trends external to the system, and niche factors, referring to technological and social innovations. Drawing on these characteristics and modeling insights, we identify transition bottlenecks to Swedish electrification. We find that changes at the landscape level have been insufficient to enable a shift to an electricity system that has a high share of wind and solar power. Instead, the operational and regulatory regimes are strongly influenced by the existing system, which is dominated by synchronous electricity generation from hydropower and nuclear power. Yet, new nuclear power struggles to become cost-competitive in the deregulated electricity market. Thus, transition bottlenecks exist across all modeled futures.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108973"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921608","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}
Energy ReportsPub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.egyr.2025.109018
Cecilie Skov Johansen, Iva Ridjan Skov, Alessandro Mati
{"title":"Exploring the potential for cost-competitive e-SAF in European aviation towards 2050","authors":"Cecilie Skov Johansen, Iva Ridjan Skov, Alessandro Mati","doi":"10.1016/j.egyr.2025.109018","DOIUrl":"10.1016/j.egyr.2025.109018","url":null,"abstract":"<div><div>The aviation sector faces critical challenges in reducing greenhouse gas (GHG) emissions. Sustainable aviation fuels (SAF), particularly electrofuels (e-SAF), are increasingly seen as promising solutions for decarbonizing the sector. This study focuses on the Fischer-Tropsch (FT) pathway for e-SAF production, exploring its cost trajectory and competitiveness with fossil jet fuel toward 2050. By analysing the roles of hydrogen pricing, technological advancements, and EU policy frameworks such as the Emissions Trading System (ETS) and the Energy Taxation Directive (ETD), the study identifies key drivers of cost reductions for e-SAF in the European Union. The findings indicate that while e-SAF costs remain higher than those of fossil fuels in the short term and under some political scenarios, favourable policy measures and advancements in production technologies can narrow this cost gap. By 2050, under the best regulatory conditions, e-SAF could achieve cost parity or even become more cost-effective than fossil jet fuel. This study underlines the importance of integrating regulatory incentives and technological advancements to enable a sustainable aviation future.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 109018"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921610","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}
Energy ReportsPub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.egyr.2025.108996
Farnam Zarrabi Shirabad, Mehrdad Boroushaki
{"title":"Optimal design of vanadium redox flow battery for large-scale energy storage","authors":"Farnam Zarrabi Shirabad, Mehrdad Boroushaki","doi":"10.1016/j.egyr.2025.108996","DOIUrl":"10.1016/j.egyr.2025.108996","url":null,"abstract":"<div><div>This study introduces a multi-objective optimization framework for vanadium redox flow batteries to enhance large-scale energy storage. The advanced model accounts for key losses, including vanadium crossover, pump work, and gas evolution, offering a realistic representation of battery performance. Utilizing the Non-dominated Sorting Genetic Algorithm II, this work captures complex trade-offs between energy efficiency and charge/discharge rates more effectively than single-variable approaches. Subsequently, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method identifies the most favorable operational parameters. Four distinct case studies demonstrate the framework’s capability to tailor performance: Case Study 1 maximizes power output, increasing charge and discharge rates by over 400 % and 325 %, respectively, at the cost of a 38 % efficiency reduction; Case Study 4 prioritizes efficiency, yielding a near 0.19 % gain alongside modest power improvements. Sensitivity analysis further reveals that current density, temperature, and electrolyte flow rate exhibit nonlinear, interdependent effects on system performance, emphasizing the need for adaptive parameter tuning. These results underscore the potential of optimized VRBs for renewable energy integration and grid stabilization, supporting their deployment in dynamic energy environments.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108996"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921614","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}
Energy ReportsPub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.egyr.2025.108927
T. H. M. Sumon Rashid , Md. Rabiul Islam , Md. Rafiqul Islam Sheikh
{"title":"Boosting EVCS profitability via strategic optimized PEV charging with integrated on-site PV and BESS support in constrained distribution systems","authors":"T. H. M. Sumon Rashid , Md. Rabiul Islam , Md. Rafiqul Islam Sheikh","doi":"10.1016/j.egyr.2025.108927","DOIUrl":"10.1016/j.egyr.2025.108927","url":null,"abstract":"<div><div>The rapid proliferation of plug-in electric vehicles (PEVs) is straining distribution networks and challenging the profitability of Electric Vehicle Charging Stations (EVCSs). This paper introduces a hierarchical control model to overcome these challenges by strategically coordinating on-site photovoltaic (PV) generation, a Battery Energy Storage System (BESS), and dynamic grid interactions. The core contributions of this work are threefold: first, the development of a two-stage optimization framework that integrates day-ahead scheduling with real-time adjustments based on locational marginal price (LMP) signals; second, a novel incentive-based flexibility scheme that categorizes PEVs into distinct groups (zero, medium, and high flexibility) to enable strategic load shifting; and third, the use of scenario-based stochastic modeling to incorporate uncertainties in PV output and PEV behavior. Simulation results demonstrate that the proposed strategy yields substantial improvements over traditional uncontrolled charging, including a peak demand reduction of over 50 %, a 10 % reduction in PEV charging costs, and approximately 37.63 % higher net operational savings for the EVCS. Furthermore, the integration of PV and BESS ensures all PEVs achieve their target state-of-charge before departure. These findings conclusively show that the proposed strategy provides a scalable and practical solution for enhancing the economic viability, grid stability, and renewable energy integration of next-generation smart charging infrastructures.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108927"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921756","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}
Energy ReportsPub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.egyr.2025.109016
Xiangjun Ren , Hao Li
{"title":"Effect of die temperature variation on biomass pelletizing and optimization of built-in heat source","authors":"Xiangjun Ren , Hao Li","doi":"10.1016/j.egyr.2025.109016","DOIUrl":"10.1016/j.egyr.2025.109016","url":null,"abstract":"<div><div>Ring die densification is a key technology for agricultural and forestry waste utilization. The precise die temperature control is critical for efficient pellet formation. This paper establishes a frictional heat analysis model for die and conducts numerical simulation of the frictional heat during the forming process. The influences of the friction coefficient, ambient temperature, and built-in heat sources on the temperature distribution were analyzed. Results show that temperature variation is governed by frictional heat generation and dissipation, correlating closely with straw material properties. Cotton and peanut stalks enable rapid achievement of effective lignin activation temperatures with improved pelletizing quality and efficiency. Conversely, corn stalks cause fuel scorching and carbonization due to excessive temperature, while rice straw exhibits slow heating, resulting in insufficient lignin softening and compromised pelletizing quality. Under low-temperature conditions (-30 °C), die temperature cannot reach sufficient lignin softening conditions, severely affecting pelletizing quality and increasing equipment failure risk. To enhance performance under low-temperature environments, built-in heat sources were optimized by investigating the effects of number, shape, and distribution position on die temperature. Two circular heat sources positioned at 32 mm and 64 mm away from the outlet reduces overall temperature difference by approximately 70 %. Under the combined effect of the built-in heat source and frictional heat, the die can quickly heat up during the preheating stage and maintain a suitable temperature range during the working stage, promoting lignin activation and material bonding. This research provides a solution for biomass briquetting equipment optimization and efficient operation.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 109016"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921761","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}
Energy ReportsPub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.egyr.2025.108963
Yu Lu , Chao Lu , Lei Sha , Yiqin Shen , Zehui Shi , Liang Liang
{"title":"Risk evaluation for low-voltage distribution network based on VMD-LSTM load forecasting model","authors":"Yu Lu , Chao Lu , Lei Sha , Yiqin Shen , Zehui Shi , Liang Liang","doi":"10.1016/j.egyr.2025.108963","DOIUrl":"10.1016/j.egyr.2025.108963","url":null,"abstract":"<div><div>Addressing the risks of voltage violations and transformer heavy-overloading in low-voltage distribution network caused by impact loads and distributed energy integration, this paper proposes a dynamic comprehensive risk evaluation framework. First, a composite risk index (CRI) is constructed, integrating the system voltage violation risk index (SVRI) and the system active power heavy-overload risk index (SAPHORI). A risk period composite index (RPCI) based on time-decay weighting is also designed. Second, a VMD-LSTM model is built for ultra-short-term load forecasting. Combined with Monte Carlo simulation for future system state sampling, this enables comprehensive future risk evaluation. Case studies using a modified IEEE 13-bus system and actual data from a distribution network in Southwest China demonstrate that the forecasting model achieves over 97 % accuracy. The evaluation results provide warnings several hours in advance regarding risk accumulation trends, offering crucial data support for power grid dispatching.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"15 ","pages":"Article 108963"},"PeriodicalIF":5.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921836","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}