Research in International Business and Finance, Journal Year: 2024, Volume and Issue: 71, P. 102495 - 102495
Published: July 22, 2024
Language: Английский
Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118337 - 118337
Published: March 30, 2024
Transportation and power generation have historically relied upon Internal Combustion Engines (ICEs). However, because of environmental impact inefficiency, considerable research has been devoted to improving their performance. Alternative fuels are necessary concerns the depletion non-renewable fuel stocks. Biodiesel potential reduce emissions improve sustainability when compared diesel fuel. Several researchers examined using nanofluids increase biodiesel performance in internal combustion engines. Due thermal physical properties, nanoparticles a host fluid engine efficiency. This comprehensive review examines three key areas for ICE efficiency: as an alternative fuel, application nanofluids, artificial intelligence (AI)/machine learning (ML) integration. The integration AI/ML nanoparticle-infused offers exciting possibilities optimizing production processes, enhancing article first discusses, benefits concerning environment various difficulties associated with its usage. then explores effects characteristics IC engines, aiming know on After that, this discusses utilization techniques biodiesel-nanofluid process. sheds light ongoing efforts make technology more environmentally friendly energy-efficient by examining current emerging patterns these fields. Finally, presents challenges future perspectives field, paving way improvement.
Language: Английский
Citations
57
Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 51, P. 101309 - 101309
Published: Jan. 1, 2024
Photovoltaic (PV) technology, as a low-carbon energy is crucial to mitigating climate change and achieving sustainable development. China has the largest total number of PV technology patents in world, but lack core technologies restricted further innovative development China's industry. Therefore, it necessary clarify current accumulation better catch up with key areas. To clearly describe structural characteristics innovation network, this study uses patent data over past 20 years from Incopat global database analyses network perspectives one-mode two-mode networks, using method social analysis (SNA). The results show that 1) leading enterprises have basically formed relatively stable internal collaborations scale expanded rapidly, very strong stamina; 2) industry, many techniques been developed by field research (R&D) among applicants collaboration, kinship collaboration investment relationships dominant; 3) provinces participating are increasing significantly, more influenced nodes, eastern coastal pioneers R&D technology; 4) technological between cities changed local cross-regional high-value areas concentrated region China, scattered spatial characteristics, presents "triangular" structure, Yangtze River Delta, Pearl Beijing-Tianjin-Hebei cores. conclusions can provide information support for scientific on conservation emission reduction achieve goals, also reference policy formulation renewable green strategies.
Language: Английский
Citations
53
Renewable Energy, Journal Year: 2023, Volume and Issue: 216, P. 119090 - 119090
Published: July 29, 2023
Language: Английский
Citations
44
Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24764 - e24764
Published: Jan. 1, 2024
New energy vehicles (NEVs) can effectively reduce emissions and alleviate global climate problems, are crucial to sustainable development. China is the world's largest seller of NEVs, but charging stations have always been a major constraint development NEVs. To clearly characterize structural characteristics an innovation association network NEV stations, this study analyzes China's with patent data since 2007 in Incopat Global Patent Database from three perspectives province, city applicant using method social analysis (SNA). The findings show following: (1) has expanded constantly, strength evidently increasing. (2) exhibits typical core-periphery structure, quantity nodes high varying little, low- medium-association strengths exhibiting evident increasing trend. (3) effect regional central cities enhanced, group structure. There no information barrier caused by excessive small formation province network, whereas there trends cooperation networks. In addition, policy recommendations for further expanding technological promote industry discussed based on results.
Language: Английский
Citations
42
Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24653 - e24653
Published: Jan. 1, 2024
As an underdeveloped and low-income region, the development of minority regions in Northwest China is crucial. important part regions, Ningxia Hui Autonomous Region has insufficient endogenous power for stable economic high risk returning to poverty. On whole, county network shows a spatial pattern north low south. However, there are great differences centrality different factor flow networks. The connections between most counties weak, close innovation not yet been formed. There obvious administrative clique structure, showing certain degree self-enclosure. flows relatively uniform greatly affected by geographic distance. From perspective integrated flow, presents distinct core-periphery circle structure. Population size GDP main factors affecting network. policy implication this study that Prefecture should coordinate planning region's economy, technology, transportation, so as reduce gap enhancing closeness association network, ultimately realize high-quality development.
Language: Английский
Citations
41
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: April 1, 2024
Abstract Rapid placement of electric vehicle charging stations (EVCSs) is essential for the transportation industry in response to growing (EV) fleet. The widespread usage EVs an strategy reducing greenhouse gas emissions from traditional vehicles. focus this study challenge smoothly integrating Plug-in EV Charging Stations (PEVCS) into distribution networks, especially when distributed photovoltaic (PV) systems are involved. A hybrid Genetic Algorithm and Simulated Annealing method (GA-SAA) used research strategically find optimal locations PEVCS order overcome integration difficulty. This paper investigates PV system situations, presenting problem as a multicriteria task with two primary objectives: power losses maintaining acceptable voltage levels. By optimizing EVCS balancing their generation, approach enhances sustainability reliability networks.
Language: Английский
Citations
38
Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 105, P. 107415 - 107415
Published: Jan. 18, 2024
Language: Английский
Citations
35
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Feb. 7, 2024
Abstract This study presents the Enhanced Cheetah Optimizer Algorithm (ECOA) designed to tackle intricate real-world challenges of dynamic economic dispatch (DED). These complexities encompass demand-side management (DSM), integration non-conventional energy sources, and utilization pumped-storage hydroelectric units. Acknowledging variability solar wind sources existence a system, this integrates solar-wind-thermal system. The DSM program not only enhances power grid security but also lowers operational costs. research addresses DED problem with without implementation analyze its impact. Demonstrating effectiveness on two test systems, suggested method's efficacy is showcased. recommended simulation results have been compared those obtained using (COA) Grey Wolf Optimizer. optimization indicate that, for both 10-unit 20-unit proposed ECOA algorithm achieves savings 0.24% 0.43%, respectively, in operation costs when Dynamic Economic Dispatch conducted Demand-Side Management (DSM). underscores advantageous capability minimizing enhancing efficiency systems. Our has greater adaptability reliability, making it promising solution addressing multi-objective difficulties within microgrids, particularly demand response mechanisms are incorporated. Furthermore, ability elucidate optimal flow IEEE standard electric vehicles renewable integrated.
Language: Английский
Citations
31
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: March 7, 2024
Abstract This paper presents a cutting-edge Sustainable Power Management System for Light Electric Vehicles (LEVs) using Hybrid Energy Storage Solution (HESS) integrated with Machine Learning (ML)-enhanced control. The system's central feature is its ability to harness renewable energy sources, such as Photovoltaic (PV) panels and supercapacitors, which overcome traditional battery-dependent constraints. proposed control algorithm orchestrates power sharing among the battery, supercapacitor, PV optimizing utilization of available ensuring stringent voltage regulation DC bus. Notably, ML-based ensures precise torque speed regulation, resulting in significantly reduced ripple transient response times. In practical terms, system maintains bus within mere 2.7% deviation from nominal value under various operating conditions, substantial improvement over existing systems. Furthermore, supercapacitor excels at managing rapid variations load power, while battery adjusts smoothly meet demands. Simulation results confirm robust performance. HESS effectively stability, even most challenging conditions. Additionally, exceptionally robust, negligible steady-state fast also handles reversal commands efficiently, vital real-world applications. By showcasing these capabilities, lays groundwork more sustainable efficient future LEVs, suggesting pathways scalable advanced electric mobility solutions.
Language: Английский
Citations
25
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Feb. 8, 2024
Abstract This paper proposes an innovative approach for improving the charging efficiency of electric vehicles (EVs) by combining photovoltaic (PV) systems with AC–DC Power Factor Correction (PFC). The proposed employs bi-directional power flow management within PFC system, allowing enhanced resource utilization and EV battery capacity under a variety environmental circumstances. A modified Lyapunov-based robust model reference adaptive controller (M-LRMRAC) is developed to provide real-time Maximum Point Tracking (MPPT) PV array. By quickly recording MPP, this skilfully adjusts shifting radiation temperature dynamics. noteworthy accomplishment that M-LRMRAC outperforms traditional Perturb Observe (P&O) techniques achieving quick MPP convergence (0.54 s). Additionally, benefits integrated system go beyond effective MPPT. method achieves operating at unity factor reduces total harmonic distortion, which results in improved quality when Batteries (EVB). entire solution provided multifaceted architecture improves electricity delivered batteries while also increasing energy efficiency. research helps evolution sustainable dependable infrastructure solving difficulties optimising performance. combination PFC, aided technology, presents viable route attaining efficient, clean, high-quality charging, hence supporting shift greener more transportation landscape.
Language: Английский
Citations
23