TY - JOUR AU - Ahmed, Anique AU - Karim, Muhammad Ramzan Abdul AU - Usman, Muhammad TI - Tailoring the electrochemical performance of nickel cobalt selenides via hydrothermal zincronization for high-performance asymmetric supercapacitors JF - ELECTROCHIMICA ACTA J2 - ELECTROCHIM ACTA VL - 531 PY - 2025 SN - 0013-4686 DO - 10.1016/j.electacta.2025.146351 UR - https://m2.mtmt.hu/api/publication/36116258 ID - 36116258 LA - English DB - MTMT ER - TY - JOUR AU - Brennenstuhl, Marcus AU - Elangovan, Pawan Kumar AU - Pietruschka, Dirk AU - Otto, Robert TI - Investigating the Impact of E-Mobility on Distribution Grids in Rural Communities: A Case Study JF - ENERGIES J2 - ENERGIES VL - 18 PY - 2025 IS - 21 SP - 5819 SN - 1996-1073 DO - 10.3390/en18215819 UR - https://m2.mtmt.hu/api/publication/36437848 ID - 36437848 AB - Germany’s energy transition to a higher share of renewable energy sources (RESs) is characterized by decentralization, with citizens, cooperatives, SMEs, and municipalities playing a central role. As of early 2025, private individuals own a significant share of renewable energy installations, particularly PV panels, which corresponds to approximately half of the total installed PV power. This trend is driven by physical, technological, and societal factors. Technological advances in battery storage and sector coupling are expected to further decentralize the energy system. Thereby, the electrification of mobility, particularly through electric vehicles (EVs), offers significant storage potential and grid-balancing capabilities via bidirectional charging, although it also introduces challenges, especially for distribution grids during peak loads. Within this work we present a detailed digital twin of the entire distribution grid of the rural German municipality of Wüstenrot. Using grid operator data and transformer measurements, we evaluate strategic expansion scenarios for electromobility, PV and heat pumps based on existing infrastructure and predicted growth in both public and private sectors. A core focus is the intelligent integration of EV charging infrastructure to avoid local overloads and to optimise grid utilisation. Thereby municipally planned and privately driven expansion scenarios are compared, and grid bottlenecks are identified, proposing solutions through charge load management and targeted infrastructure upgrades. This study of Wüstenrot’s low-voltage grid reveals substantial capacity reserves for future integration of heat pumps, electric vehicles (EVs), and photovoltaic systems, supporting the shift to a sustainable energy system. While full-scale expansion would require significant infrastructure investment, mainly due to widespread EV adoption, simple measures like temporary charge load reduction could cut grid stress by up to 51%. Additionally, it is shown that bidirectional charging offers further relief and potential income for EV owners. LA - English DB - MTMT ER - TY - JOUR AU - Gao, Ding AU - Zhi, Yuan AU - Rong, Xing AU - Yang, Xudong TI - Mismatch analysis of rooftop photovoltaics supply and farmhouse load: Data dimensionality reduction and explicable load pattern mining via hybrid deep learning JF - APPLIED ENERGY J2 - APPL ENERG VL - 377 PY - 2025 PG - 19 SN - 0306-2619 DO - 10.1016/j.apenergy.2024.124520 UR - https://m2.mtmt.hu/api/publication/35586420 ID - 35586420 N1 - Funding Agency and Grant Number: Chinese Academy of Engineering [2023-XBZD-07]; Energy Foundation [G-2310-35184] Funding text: This study was supported by the Chinese Academy of Engineering (2023-XBZD-07) , and Energy Foundation (G-2310-35184). Part number: B AB - Establishing a new type of electricity system based on rooftop photovoltaics (PV) can facilitate the energy transition in rural China. Research on the mismatch between the PV supply and rural household demand is vital to the widespread adoption of PV microgrid systems. Currently, typical load patterns (TLPs) in rural areas lack accurate characterization and mismatch assessment methods disregard PV curtailment. Therefore, this study proposes a hybrid deep learning-based analytical framework to quantify short-term mismatches between PV power generation and TLPs throughout the day and applies it to a real rural dataset. This study employs the variational autoencoder (VAE) model for dimensionality reduction and feature extraction of high-resolution load data and compares it with traditional methods. In addition, we employed the k-medoids method to uncover TLPs and utilized decision trees to enhance interpretability. The results show that (1) The VAE model exhibits superior dimensionality reduction and feature extraction capabilities on both public and measured datasets and compared to other models, it can reconstruct peak loads more effectively. (2) Three types of TLPs were identified within the rural dataset, with the outdoor average daily wet-bulb temperature being the major influencing factor. (3) Significant differences existed in the mismatch levels between the three types of TLPs and PV power generation. The Lorenz curves and Gini coefficients can effectively quantify the mismatch between PV power generation and TLPs. The proposed framework provides theoretical support for optimizing PV microgrid systems design in rural areas and developing demand-side response strategies. LA - English DB - MTMT ER - TY - JOUR AU - Giehl, Johannes AU - Hentschel, Dana AU - Ciprian, Lucia AU - Weibezahn, Jens TI - Fueling the future: Optimizing Power-to-X production in renewable energy hubs through flexible operating units JF - ENERGY J2 - ENERGY VL - 333 PY - 2025 SP - 137211 SN - 0360-5442 DO - 10.1016/j.energy.2025.137211 UR - https://m2.mtmt.hu/api/publication/36392961 ID - 36392961 LA - English DB - MTMT ER - TY - JOUR AU - Ji, C. AU - Yang, X. AU - Xu, H. AU - Yang, Z. AU - Xie, J. TI - Molecular insight into further enhancement of thermal conductivity and heat capacity of K2CO3-SiO2 molten salt nanofluids by oxygen vacancy defects in SiO2 nanoparticles JF - INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER J2 - INT J HEAT MASS TRANS VL - 247 PY - 2025 PG - 11 SN - 0017-9310 DO - 10.1016/j.ijheatmasstransfer.2025.127148 UR - https://m2.mtmt.hu/api/publication/36195924 ID - 36195924 N1 - Hebei Key Laboratory of Energy Storage and Integrated Energy Systems, Department of Power Engineering, North China Electric Power University, Baoding, 071003, China School of Engineering, University of Derby, DE22 3AW, United Kingdom Export Date: 17 June 2025; Cited By: 0; Correspondence Address: X. Yang; Hebei Key Laboratory of Energy Storage and Integrated Energy Systems, Department of Power Engineering, North China Electric Power University, Baoding, 071003, China; email: xuemingyang@ncepu.edu.cn; CODEN: IJHMA LA - English DB - MTMT ER - TY - JOUR AU - Kashif Razzaq, Hafiz AU - Yang, Chun-Chen AU - Norhaffis Mustafa, Muhammad AU - Numan, Arshid AU - Khalid, Mohammad TI - Progress in multi-electron sodium vanadium phosphate cathode for emerging sodium-ion batteries JF - PROGRESS IN MATERIALS SCIENCE J2 - PROG MATER SCI VL - 151 PY - 2025 PG - 67 SN - 0079-6425 DO - 10.1016/j.pmatsci.2024.101424 UR - https://m2.mtmt.hu/api/publication/35649709 ID - 35649709 LA - English DB - MTMT ER - TY - JOUR AU - Lyu, Qifeng AU - Wang, Yalun AU - Chen, Dongjian AU - Liu, Shiyuan AU - Mbabazi, Justin AU - Zhu, Pinghua AU - Lu, Jiquan AU - Wang, Shaowei AU - Yin, Fengxiang TI - Energy storage properties and mechanical strengths of 3D printed porous concrete structural supercapacitors reinforced by electrodes made of carbon-black-coated Ni foam JF - CEMENT & CONCRETE COMPOSITES J2 - CEMENT CONCRETE COMP VL - 157 PY - 2025 SP - 105926 SN - 0958-9465 DO - 10.1016/j.cemconcomp.2025.105926 UR - https://m2.mtmt.hu/api/publication/35741264 ID - 35741264 N1 - Funding Agency and Grant Number: National Natural Science Foundation of China [51908075, 52278240] Funding text: This work was supported by National Natural Science Foundation of China (51908075, 52278240) . LA - English DB - MTMT ER - TY - JOUR AU - Maghami, M.R. AU - Yaghoubi, E. AU - Mohamed, M. AU - Yaghoubi, E. AU - Jahromi, M.Z. AU - Fei, T.K. TI - Multi-objective optimization of unbalanced power distribution systems: a comprehensive approach to address uncertainties and enhance performance JF - ENERGY CONVERSION AND MANAGEMENT: X J2 - ENERGY CONVERS MANAG: X VL - 27 PY - 2025 PG - 15 SN - 2590-1745 DO - 10.1016/j.ecmx.2025.101087 UR - https://m2.mtmt.hu/api/publication/36195925 ID - 36195925 N1 - Strategic Research Institute (SRI), Asia Pacific University of Technology and Innovation (APU), Malaysia Department of Electrical and Electronics Engineering, Karabuk University, Turkey Faculty of Data Science and Computing, University Kelantan Malaysia, Malaysia School of Technology, (SoT), Asia Pacific University of Technology & Innovation (APU), Technology Park Malaysia, Kuala Lumpur, Malaysia Export Date: 17 June 2025; Cited By: 0; Correspondence Address: M.R. Maghami; Strategic Research Institute (SRI), Asia Pacific University of Technology and Innovation (APU), Malaysia; email: reza.maghami@apu.edu.my LA - English DB - MTMT ER - TY - JOUR AU - Shah, Syed Shaheen AU - Aziz, Md. Abdul AU - Ogawa, Takaya AU - Zada, Laiq AU - Marwat, Mohsin Ali AU - Abdullah, Syed Muhammad AU - Khan, Abdul Jabbar AU - Usman, Muhammad AU - Khan, Ibrahim AU - Said, Zafar AU - Oyama, Munetaka TI - Revolutionary NiCo layered double hydroxide electrodes: Advances, challenges, and future prospects for high-performance supercapacitors JF - MATERIALS SCIENCE & ENGINEERING R-REPORTS J2 - MAT SCI ENG R VL - 166 PY - 2025 SP - 101041 SN - 0927-796X DO - 10.1016/j.mser.2025.101041 UR - https://m2.mtmt.hu/api/publication/36319253 ID - 36319253 LA - English DB - MTMT ER - TY - JOUR AU - Shi, Wenhui AU - Ma, Lifei AU - Li, Wenxin AU - Zhu, Yankai AU - Nan, Dongliang AU - Peng, Yinzhang TI - Thermodynamic-Based Perceived Predictive Power Control for Renewable Energy Penetrated Resident Microgrids JF - ENERGIES J2 - ENERGIES VL - 18 PY - 2025 IS - 12 SP - 3027 SN - 1996-1073 DO - 10.3390/en18123027 UR - https://m2.mtmt.hu/api/publication/36186199 ID - 36186199 AB - Heating, ventilation, and air conditioning (HVAC) systems and microgrids have garnered significant attention in recent research, with temperature control and renewable energy integration emerging as key focus areas in urban distribution power systems. This paper proposes a robust predictive temperature control (RPTC) method and a microgrid control strategy incorporating asymmetrical challenges, including uneven power load distribution and uncertainties in renewable outputs. The proposed method leverages a thermodynamics-based R-C model to achieve precise indoor temperature regulation under external disturbances, while a multisource disturbance compensation mechanism enhances system robustness. Additionally, an HVAC load control model is developed to enable real-time dynamic regulation of airflow, facilitating second-level load response and improved renewable energy accommodation. A symmetrical power tracking and voltage support secondary controller is also designed to accurately capture and manage the fluctuating power demands of HVAC systems for supporting operations of distribution power systems. The effectiveness of the proposed method is validated through power electronics simulations in the Matlab/Simulink/SimPowerSystems environment, demonstrating its practical applicability and superior performance. LA - English DB - MTMT ER - TY - JOUR AU - Teffu, D.M. AU - Makgopa, K. AU - Somo, T.R. AU - Ratsoma, M.S. AU - Honey, S. AU - Makhado, E. AU - Modibane, K.D. TI - Metal and covalent organic frameworks (MOFs and COFs): A comprehensive overview of their synthesis, characterization and enhanced supercapacitor performance JF - COORDINATION CHEMISTRY REVIEWS J2 - COORDIN CHEM REV VL - 540 PY - 2025 PG - 49 SN - 0010-8545 DO - 10.1016/j.ccr.2025.216798 UR - https://m2.mtmt.hu/api/publication/36195927 ID - 36195927 N1 - Department of Chemistry, School of Physical and Mineral Sciences, University of Limpopo (Turfloop), Polokwane, Sovenga, 0727, South Africa DSI-NRF SARChI Chair in Photoelectrocatalytic Hydrogen Production, University of Limpopo (Turfloop), Polokwane, Sovenga, 0727, South Africa Department of Chemistry, Faculty of Science, Tshwane University of Technology (Acardia Campus), Pretoria, 0001, South Africa Center for Nanosciences, University of Okara, Okara, 56130, Pakistan Export Date: 17 June 2025; Cited By: 0; Correspondence Address: K. Makgopa; Department of Chemistry, Faculty of Science, Tshwane University of Technology (Acardia Campus), Pretoria, 0001, South Africa; email: makgopak@tut.ac.za; D.M. Teffu; Department of Chemistry, School of Physical and Mineral Sciences, University of Limpopo (Turfloop), Sovenga, Polokwane, 0727, South Africa; email: dannyteffu@gmail.com; CODEN: CCHRA LA - English DB - MTMT ER - TY - JOUR AU - Wang, C. AU - Lu, Z. AU - Zhang, J. AU - Guo, X. AU - Li, Y. AU - Zhang, J. TI - Planning and economic analysis of low-carbon transition of East China power system considering electricity-hydrogen coupling JF - RENEWABLE ENERGY J2 - RENEW ENERGY VL - 249 PY - 2025 PG - 21 SN - 0960-1481 DO - 10.1016/j.renene.2025.123244 UR - https://m2.mtmt.hu/api/publication/36195926 ID - 36195926 N1 - School of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China Key Laboratory of Power Electronics for Energy Conservation and Drive Control of Hebei Province (Yanshan University), Qinhuangdao, 066004, China Department of Automotive Engineering, Clemson University, Greenville, 29607, SC, United States Export Date: 17 June 2025; Cited By: 0; Correspondence Address: Z. Lu; School of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China; email: zhglu@ysu.edu.cn LA - English DB - MTMT ER - TY - JOUR AU - Wu, Donghong AU - Cai, Guotian AU - Ren, Songyan AU - Huang, Yuping TI - Optimal capacity planning for hydrogen-based urban multi-region energy systems: A comprehensive approach for long-term planning considering hourly demand balance JF - INTERNATIONAL JOURNAL OF HYDROGEN ENERGY J2 - INT J HYDROGEN ENERG VL - 177 PY - 2025 SP - 151429 SN - 0360-3199 DO - 10.1016/j.ijhydene.2025.151429 UR - https://m2.mtmt.hu/api/publication/36392958 ID - 36392958 LA - English DB - MTMT ER - TY - JOUR AU - Bachankar, Shital AU - Malavekar, Dhanaji AU - Lokhande, Vaibhav AU - Ji, Taeksoo TI - Empowering supercapacitors: Strategic B-site modulations of transition metal atoms in perovskite oxide based electrodes JF - JOURNAL OF ALLOYS AND COMPOUNDS J2 - J ALLOY COMPD VL - 1003 PY - 2024 PG - 26 SN - 0925-8388 DO - 10.1016/j.jallcom.2024.175708 UR - https://m2.mtmt.hu/api/publication/35154535 ID - 35154535 LA - English DB - MTMT ER - TY - THES AU - Jonathan, Ullmark TI - Short- and long-term variability in future electricity systems PY - 2024 UR - https://m2.mtmt.hu/api/publication/35071337 ID - 35071337 LA - English DB - MTMT ER - TY - JOUR AU - Nica, Ionuț AU - Georgescu, Irina AU - Chiriță, Nora TI - Simulation and Modelling as Catalysts for Renewable Energy: A Bibliometric Analysis of Global Research Trends JF - ENERGIES J2 - ENERGIES VL - 17 PY - 2024 IS - 13 SN - 1996-1073 DO - 10.3390/en17133090 UR - https://m2.mtmt.hu/api/publication/35071476 ID - 35071476 N1 - Export Date: 09 December 2024; Cited By: 1; Correspondence Address: I. Georgescu; Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, 0105552, Romania; email: irina.georgescu@csie.ase.ro AB - This study investigates the application of advanced simulation and modeling technologies to optimize the performance and reliability of renewable energy systems. Given the urgent need to combat climate change and reduce greenhouse gas emissions, integrating renewable energy sources into existing infrastructure is essential. Using bibliometric methods, our research spans from 1979 to 2023, identifying key publications, institutions, and trends. The analysis revealed a significant annual growth rate of 16.78% in interest in simulation and modeling, with a notable surge in published articles, reaching 921 in 2023. This indicates heightened research activity and interest. Our findings highlight that optimization, policy frameworks, and energy management are central themes. Leading journals like Energies, Energy, and Applied Energy play significant roles in disseminating research. Key findings also emphasize the importance of international collaboration, with countries like China, the USA, and European nations playing significant roles. The three-field plot analysis demonstrated interconnections between keywords, revealing that terms like “renewable energy sources”, “optimization”, and “simulation” are central to the research discourse. Core funding agencies, such as the National Natural Science Foundation of China (NSFC) and the European Union, heavily support this research. This study underscores the importance of policies and sustainability indicators in promoting renewable energy technologies. These insights emphasize the need for ongoing innovation and interdisciplinary collaboration to achieve a sustainable energy future. LA - English DB - MTMT ER - TY - CHAP AU - Prasad, Dharmbir AU - Singh, Rudra Pratap AU - Rizwan, Ariba AU - Roy, Ranadip AU - Verma, Shubham ED - Naoui, Mohamed ED - Ben Khalifa, Romdhane ED - Sbita, Lassaad TI - Modelling of Grid Management Strategy for Handling Intermittent Renewable Energy Generation in Island Regions T2 - Modeling, Analysis, and Control of Smart Energy Systems PB - IGI Global SN - 9798369330005 T3 - Advances in Chemical and Materials Engineering, ISSN 2327-5448 PY - 2024 SP - 194 EP - 222 PG - 29 DO - 10.4018/979-8-3693-2999-3.ch011 UR - https://m2.mtmt.hu/api/publication/35166137 ID - 35166137 AB - The integration of solar and wind power into standard grid systems has increased the usage of renewable energy; however, the operational challenges presented by these sources' fundamental intermittency remain. This research analyses grid management approaches designed to decrease intermittency concerns related to solar and wind energy. Resource utilization and grid balancing are made feasible by precise short- and long-term forecasting models for solar irradiance and wind patterns, which allow generators to plan for changes. The planned location, Sagar Island, requires 9.5 MW of electricity. The suggested mix of solar, wind, and grid generate 16.5MW. The PV module generates 8,339 kWh, the wind turbine creates 7,532 kWh, the grid purchased 674 kWh, and the grid sold 12,454. The CO2 emission of the system is 33.7 kg/year. The economics metrics ROI 4.5%, IRR 6.6%, and simple payback is 11.34 year. LA - English DB - MTMT ER - TY - JOUR AU - Shi, Xincong AU - Wang, Xinrui AU - Ji, Yuze AU - Liu, Zhiliang AU - Han, Weiheng TI - Distributionally Robust Demand Response for Heterogeneous Buildings with Rooftop Renewables under Cold Climates JF - BUILDINGS J2 - BUILDINGS-BASEL VL - 14 PY - 2024 IS - 6 PG - 20 SN - 2075-5309 DO - 10.3390/buildings14061530 UR - https://m2.mtmt.hu/api/publication/34885973 ID - 34885973 N1 - State Grid Shanxi Electric Power Company Limited, Taiyuan, 030000, China College of Electrical Engineering, Zhejiang University, Hangzhou, 310000, China State Grid Jincheng Power Supply Company, Jincheng, 048000, China Export Date: 05 December 2024; Cited By: 0; Correspondence Address: Y. Ji; State Grid Jincheng Power Supply Company, Jincheng, 048000, China; email: jcjiyuze@163.com AB - A considerable penetration of rooftop PV generation and increasing demand for heating loads will enlarge the peak-to-valley difference, imposing a great challenge to the reliable operation of distribution systems under cold climates. The objective of this paper is to establish a distributionally robust demand response (DR) model for building energy systems for suppressing peak-to-valley load ratios by exploiting cooperative complementarity and flexible transformation characteris-tics of various household appliances. The thermodynamic effect of buildings is modeled for harvesting intermittent renewable energy sources (RESs) on the building roof in the form of thermal energy storages to reduce RES curtailments and eliminate thermal comfort violations in cold weather. Furthermore, the Wasserstein metric is adopted to develop the ambiguity set of the uncertainty probability distributions (PDs) of RESs, and thus, only historical data of RES output is needed rather than prior knowledge about the actual PDs. Finally, a computationally tractable mixed-integer linear programming reformulation is derived for the original distributionally robust optimization (DRO) model. The proposed DRO-based DR strategy was performed on multiple buildings over a 24 h scheduling horizon, and comparative studies have validated the effectiveness of the proposed strategy for building energy systems in reducing the peak/valley ratio and decreasing operation costs. LA - English DB - MTMT ER - TY - CHAP AU - Ullah, Z. AU - Gruosso, G. AU - Ullah, K. AU - Mehmood, F. TI - Leveraging Ancillary Services from Building Thermostatic Loads in Power Grids T2 - 2024 3rd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED) PB - Institute of Electrical and Electronics Engineers (IEEE) CY - [s.l.] SN - 9798350375923 PY - 2024 PG - 6 DO - 10.1109/SyNERGYMED62435.2024.10799458 UR - https://m2.mtmt.hu/api/publication/35809660 ID - 35809660 N1 - Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milan, Italy CASE UET Peshawar, Department of Electrical Energy System, Peshawar, Pakistan University of Cyprus, Department of Electrical and Computer Engineering, Nicosia, Cyprus Export Date: 6 March 2025 Correspondence Address: Ullah, Z.; Politecnico di Milano, Italy; email: zahid.ullah@polimi.it LA - English DB - MTMT ER -