Global Energy Interconnection最新文献

{"title":"Potential of hydrogen production from intermittent renewable energy resources in different locations of Nigeria: Technical, economic and environmental perspective","authors":"Richard Oladayo Olarewaju ,&nbsp;Ayodeji Samson Olatunji Ogunjuyigbe ,&nbsp;Temitope Raphael Ayodele ,&nbsp;Samson Oladayo Ayanlade ,&nbsp;Yuming Feng ,&nbsp;Chaoran Liu","doi":"10.1016/j.gloei.2025.04.002","DOIUrl":"10.1016/j.gloei.2025.04.002","url":null,"abstract":"<div><div>In this study, ten wind turbines and fourteen solar photovoltaic (SPV) modules were employed to compare the potential of hydrogen production from wind and solar energy resources in the six geopolitical zones of Nigeria. The amount of hydrogen produced was considered as a technical parameter, cost of hydrogen production was considered as an economic index, and the amount of carbon (IV) oxide saved from the use of diesel fuel was considered as an environmental index. The results reveal that ENERCON E-40 turbine yields the highest capacity factor in Lagos, Jos, Sokoto, Bauchi and Enugu sites while FUHRLAENDER, GMBH yields the highest capacity factor in Delta. The mean annual hydrogen production from wind ranged from 2.05 tons/annum at site S6 (Delta) to 17.33 tons/annum at site S3 (Sokoto), and the mean annual hydrogen production from SPV ranged from 64.33 tons/annum at sites S1 (Lagos) to 140.28 tons/annum at site S6 (Delta). The cost of hydrogen production from wind was 6.3679 and 25.9007$/kg for sites S3 and S6, respectively, and the cost of hydrogen production from SPV was 5.6659 and 6.1206$/kg for sites S3 and S1, respectively. The amount of CO₂ saved annually from wind-based hydrogen generation was 137,267 kg/year in site S6 and 504,180 kg/year in site S3, and was used to produce electricity via fuel cells. The amount of CO₂ saved using hydrogen produced from SPV was 615,400 kg/year and 1,341,899 kg/year in sites S1 and S6, respectively. The results also revealed that 75.55%, 88.93%, 80.28%, 80.54%, 85.65%, 98.53% more hydrogen could be produced from SPV for sites S1–S6, respectively, compared to the wind resources. This study serves as a source of reliable technical information to relevant government agencies, policy makers and investors in making informed decisions on optimal investment in the hydrogen economy of Nigeria.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 394-406"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study the effect of using a dual rotor system on the performance of horizontal axis wind turbines using CFD","authors":"Amr Mokhtar ,&nbsp;Mahmoud Fouad ,&nbsp;Mohamed Rashed ,&nbsp;Mostafa Mokhtar","doi":"10.1016/j.gloei.2025.01.008","DOIUrl":"10.1016/j.gloei.2025.01.008","url":null,"abstract":"<div><div>This research aims to improve the power output of a horizontal axis wind turbine (HAWT) by using an auxiliary rotor in front of the main rotor, this configuration is called a dual-rotor wind turbine (DRWT). The three-bladed main rotor has a diameter of 0.9 m and both rotors with NREL S826 airfoil. ANSYS Fluent CFD simulation was used to optimize the DRWT performance where the numerical model was solved using the Realizable <em>k</em>-<em>ɛ</em> turbulence model. Four parameters are used, diameter ratio between the auxiliary front rotor and the main rear rotor (<em>D</em>_R = 0.25, <em>D</em>_R = 0.5, and <em>D</em>_R = 0.75), axial free stream velocity according to the normal wind speed range in Egypt (<em>V</em>_o = 5 m/s, <em>V</em>_o = 7.5 m/s, and <em>V</em>_o = 10 m/s), tip speed ratio which ranges from 2 to 8, and the number of blades of the front rotor (<em>B</em> = 2, <em>B</em> = 3 and <em>B</em> = 4). The results show that increasing the number of blades positively impacts performance but at lower tip speed ratios. Smaller diameter ratios yield better performance, while increasing wind speed results in higher power. The best performance was achieved at freestream velocity <em>V</em>_o = 10 m/s, diameter ratio <em>D</em>_R = 0.25, front rotor number of blades <em>B</em> = 4, and tip speed ratio <em>λ</em> = 5 in which the overall maximum power coefficient Cp max = 0.552 with an increase with 36.75 % compared to the single rotor case.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 497-509"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal scheduling method for multi-regional integrated energy system based on dynamic robust optimization algorithm and bi-level Stackelberg model","authors":"Bo Zhou,&nbsp;Erchao Li,&nbsp;Wenjing Liang","doi":"10.1016/j.gloei.2024.11.018","DOIUrl":"10.1016/j.gloei.2024.11.018","url":null,"abstract":"<div><div>In this study, we construct a bi-level optimization model based on the Stackelberg game and propose a robust optimization algorithm for solving the bi-level model, assuming an actual situation with several participants in energy trading. Firstly, the energy trading process is analyzed between each subject based on the establishment of the operation framework of multi-agent participation in energy trading. Secondly, the optimal operation model of each energy trading agent is established to develop a bi-level game model including each energy participant. Finally, a combination algorithm of improved robust optimization over time (ROOT) and CPLEX is proposed to solve the established game model. The experimental results indicate that under different fitness thresholds, the robust optimization results of the proposed algorithm are increased by 56.91 % and 68.54 %, respectively. The established bi-level game model effectively balances the benefits of different energy trading entities. The proposed algorithm proposed can increase the income of each participant in the game by an average of 8.59 %.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 510-521"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of flexible interconnection strategies for the integration of electric vehicles and renewable energy in load-centric distribution networks","authors":"Guowei Liu ,&nbsp;Liming Wang ,&nbsp;Kangsheng Cui ,&nbsp;Peiqian Guo ,&nbsp;Hao Dai ,&nbsp;Min Guo ,&nbsp;Lisheng Xin","doi":"10.1016/j.gloei.2025.04.001","DOIUrl":"10.1016/j.gloei.2025.04.001","url":null,"abstract":"<div><div>Flexible interconnection devices (FIDs) significantly enhance the regulation and management of complex power flows in distribution networks. Voltage source converter (VSC)-based FIDs, in particular, are pivotal for increasing system reliability and operational efficiency. These devices are crucial in supporting the extensive incorporation of electric vehicles (EVs) and renewable energy sources (RESs) into new, load-centric environments. This study evaluates four unique FID-based configurations for distribution network interconnections, revealing their distinctive features. We developed a comprehensive evaluation framework and tool by integrating the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE), which includes five key performance indicators to assess these configurations. The study identifies the optimal application scenarios for each configuration and discusses their roles in enabling the seamless integration of EVs and RESs. The findings provide essential insights and guidelines for the design and implementation of adaptable, interconnected distribution networks that are equipped to meet the growing demands of future urban environments.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 447-459"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids","authors":"Peishuai Li ,&nbsp;Yihan Wang ,&nbsp;Tao Zheng ,&nbsp;Yulong Jin ,&nbsp;Weizhi Yuan ,&nbsp;Wenwen Guo","doi":"10.1016/j.gloei.2025.01.007","DOIUrl":"10.1016/j.gloei.2025.01.007","url":null,"abstract":"<div><div>Microgrids (MGs) and active distribution networks (ADNs) are important platforms for distributed energy resource (DER) consumption. The increasing penetration of DERs has motivated the development ADNs coupled with MGs. This paper proposes a distributed co-optimization method for peer-to-peer (P2P) energy trading and network operation for an ADN integrated with multiple microgrids (MMGs). A framework that optimizes P2P energy trading among MMGs and ADN operations was first established. Subsequently, an energy management model that aims to minimize the operation and energy trading costs was constructed for each MG. Accordingly, the MMGs’ cooperative game model was established based on Nash bargaining theory to incentivize each stakeholder to participate in P2P energy trading, and a distributed solution method based on the alternating direction method of multipliers was developed. Moreover, an algorithm that adjusts the amount of energy trading between the ADN and MG is proposed to ensure safe operation of the distribution network. With the communication between the MG and ADN, the MMGs’ P2P trading and ADN operations are optimized in a coordinated manner. Finally, numerical simulations were conducted to verify the accuracy and effectiveness of the proposed method.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 474-485"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SP-RF-ARIMA: A sparse random forest and ARIMA hybrid model for electric load forecasting","authors":"Kamran Hassanpouri Baesmat ,&nbsp;Farhad Shokoohi ,&nbsp;Zeinab Farrokhi","doi":"10.1016/j.gloei.2025.04.003","DOIUrl":"10.1016/j.gloei.2025.04.003","url":null,"abstract":"<div><div>Accurate Electric Load Forecasting (ELF) is crucial for optimizing production capacity, improving operational efficiency, and managing energy resources effectively. Moreover, precise ELF contributes to a smaller environmental footprint by reducing the risks of disruption, downtime, and waste. However, with increasingly complex energy consumption patterns driven by renewable energy integration and changing consumer behaviors, no single approach has emerged as universally effective. In response, this research presents a hybrid modeling framework that combines the strengths of Random Forest (RF) and Autoregressive Integrated Moving Average (ARIMA) models, enhanced with advanced feature selection—Minimum Redundancy Maximum Relevancy and Maximum Synergy (MRMRMS) method—to produce a sparse model. Additionally, the residual patterns are analyzed to enhance forecast accuracy. High-resolution weather data from Weather Underground and historical energy consumption data from PJM for Duke Energy Ohio and Kentucky (DEO&amp;K) are used in this application. This methodology, termed SP-RF-ARIMA, is evaluated against existing approaches; it demonstrates more than 40% reduction in mean absolute error and root mean square error compared to the second-best method.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 486-496"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of photovoltaic/thermal (PV/T) incorporation in the hydrogen production process","authors":"Hussein A. Kazem ,&nbsp;Miqdam T. Chaichan ,&nbsp;Ali H.A. Al-Waeli ,&nbsp;K. Sopian ,&nbsp;Waheeb E. Alnaser ,&nbsp;Lawrence Kazmerski ,&nbsp;Naser W. Alnaser","doi":"10.1016/j.gloei.2025.03.001","DOIUrl":"10.1016/j.gloei.2025.03.001","url":null,"abstract":"<div><div>Integrating the photovoltaic/thermal (PV/T) system in green hydrogen production is an improvement in sustainable energy technologies. In PV/T systems, solar energy is converted into electricity and thermal energy simultaneously using hot water or air together with electricity. This dual use saves a significant amount of energy and officially fights greenhouse gases. Different cooling techniques have been proposed in the literature for improving the overall performance of the PV/T systems; employing different types of agents including nanofluids and phase change materials. Hydrogen is the lightest and most abundant element in the universe and has later turned into a flexible energy carrier for transportation and other industrial applications. Issues, including the processes of Hydrogen manufacturing, preservation as well as some risks act as barriers. This paper provides an analysis of several recent publications on the efficiency of using PV/T technology in the process of green hydrogen production and indicates the potential for its increased efficiency as compared to conventional systems that rely on fossil fuels. Due to the effective integration of solar energy, the PV/T system can play an important role in the reduction of the levelized cost of hydrogen (LCOH) and hence play an important part in reducing the economic calculations of the decarbonized energy system.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 363-393"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the capacity value of demand flexibility from aggregated small Internet data centers in power distribution systems","authors":"Bo Zeng,&nbsp;Xinzhu Xu,&nbsp;Fulin Yang","doi":"10.1016/j.gloei.2024.08.013","DOIUrl":"10.1016/j.gloei.2024.08.013","url":null,"abstract":"<div><div>With the advent of the digital economy, there has been a rapid proliferation of small-scale Internet data centers (SIDCs). By leveraging their spatiotemporal load regulation potential through data workload balancing, aggregated SIDCs have emerged as promising demand response (DR) resources for future power distribution systems. This paper presents an innovative framework for assessing capacity value (CV) by aggregating SIDCs participating in DR programs (SIDC-DR). Initially, we delineate the concept of CV tailored for aggregated SIDC scenarios and establish a metric for the assessment. Considering the effects of the data load dynamics, equipment constraints, and user behavior, we developed a sophisticated DR model for aggregated SIDCs using a data network aggregation method. Unlike existing studies, the proposed model captures the uncertainties associated with end tenant decisions to opt into an SIDC-DR program by utilizing a novel uncertainty modeling approach called Z-number formulation. This approach accounts for both the uncertainty in user participation intentions and the reliability of basic information during the DR process, enabling high-resolution profiling of the SIDC-DR potential in the CV evaluation. Simulation results from numerical studies conducted on a modified IEEE-33 node distribution system confirmed the effectiveness of the proposed approach and highlighted the potential benefits of SIDC-DR utilization in the efficient operation of future power systems.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 460-473"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing PV power utilization in standalone battery systems with forecast-based charging management strategy","authors":"Utpal Kumar Das ,&nbsp;Ashish Kumar Karmaker","doi":"10.1016/j.gloei.2025.01.006","DOIUrl":"10.1016/j.gloei.2025.01.006","url":null,"abstract":"<div><div>Optimizing photovoltaic (PV) power utilization in battery systems is challenging due to solar intermittency, battery efficiency, and lifespan management. This paper proposes a novel forecast-based battery charging management (BCM) strategy to enhance PV power utilization. A string of Li-ion battery cells with diverse capacities and states of charge (SOC) is contemplated in this constant current/constant voltage (CC/CV) battery-charging scheme. Significant amounts of PV power are often wasted because the CC/CV mode cannot fully exploit the available power to maintain appropriate charging rates. To address this issue, the proposed BCM algorithm selects an optimal set of battery cells for charging at any given time based on forecasted PV power generation, ensuring maximum power is obtained from the PV system. Additionally, a support vector regression (SVR)-based forecasting model is developed to predict PV power generation precisely. The results indicate that the anticipated BCM strategy achieves an overall utilization rate of 87.47% of the PV-generated power for battery charging under various weather conditions.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 3","pages":"Pages 407-419"},"PeriodicalIF":1.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic modeling and analysis of a PV EV charged with battery energy storage system (BESS) on Kalimantan Island","authors":"Aripriharta ,&nbsp;Satria Adiguna ,&nbsp;Arif N. Afandi ,&nbsp;Muhammad Cahyo Bagaskoro","doi":"10.1016/j.gloei.2025.01.003","DOIUrl":"10.1016/j.gloei.2025.01.003","url":null,"abstract":"<div><div>This research examines the optimal combination of solar panel and battery capacity in hybrid systems in 11 cities on the island of Borneo, utilizing the region’s significant solar energy potential and high irradiation levels. This research analyses the optimal combination of solar panels and battery capacity in 11 cities in Kalimantan using particle swarm optimization (PSO) and grey wolf optimization (GWO) algorithms to maximize energy output, reduce levelised energy costs, and maximally reduce carbon emissions. Results show Tarakan as the most optimal location, generating 215,804.88 kWh for IDR 916.9/kWh and lowering emissions by 435,884.29 kgCO₂e, while Samarinda is the least optimal location. Economically, electricity tariffs of IDR 2,466.78/kWh and IDR 2,000/kWh generate a positive Net Present Value (NPV) with a payback period (PP) of 9–12 years, while a tariff of IDR 1,500/kWh is considered unfavorable. The findings demonstrate the effectiveness of PSO and GWO in optimizing the renewable energy system and confirm the project’s financial viability, with a positive NPV and reasonable PP. Implementing renewable energy systems in Kalimantan Island can improve energy efficiency and significantly reduce carbon emissions, supporting environmental sustainability goals.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"8 2","pages":"Pages 225-239"},"PeriodicalIF":1.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}