Renewable Energy Focus最新文献

{"title":"Microgrids for energy access in remote and islanded communities under natural disasters – Context of Lombok Island Indonesia","authors":"Majid Ali ,&nbsp;Yajuan Guan ,&nbsp;Juan C. Vasquez ,&nbsp;Josep M. Guerrero ,&nbsp;Fransisco Danang Wijaya ,&nbsp;Adam Priyo Perdana","doi":"10.1016/j.ref.2025.100705","DOIUrl":"10.1016/j.ref.2025.100705","url":null,"abstract":"<div><div>Natural disasters (NDs) including earthquakes, floods, tsunamis, and other high-impact natural phenomena cause significant power outages that interrupt human activity and industrial output. Natural disaster mitigation in the energy sector requires sophisticated control strategies, operations, and vulnerabilities. In literature, different Microgrids (MGs) configurations are adapted in such scenarios which can endure low-probability and high-impact (LPHI) occurrences because of their compact size, manageable loads, and constrained bounds. Ad hoc MGs that are low-power, transportable, and containerized can be used in emergencies by supplying electricity for critical loads. This paper includes an overview of the history of power system resilience, resilience-enhancing techniques, and MGs as a resilience resource. This paper presents a case study of the resiliency issue of the remote MG of Lombok Island in Indonesia and then proposes potential technical solutions to cope with natural disasters. Finally, concludes by identifying gaps in the current research literature and suggesting future avenues for enhancing the methods focused on resilience-oriented operations to strengthen the resilience of MGs.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100705"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748390","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":"Community Responses to Changes in Perceptions and Annoyance with Noise and Shadow Flickering: A Longitudinal Study","authors":"Wei Zhang,&nbsp;Shigeo Nishikizawa,&nbsp;Takehiko Murayama,&nbsp;Kultip Suwanteep,&nbsp;Kaiqi Liu","doi":"10.1016/j.ref.2025.100701","DOIUrl":"10.1016/j.ref.2025.100701","url":null,"abstract":"<div><div>In this longitudinal study, we investigate the evolution of community perceptions and annoyance related to wind turbine noise and shadow flicker among residents living within a 1-km radius from the Minamiawaji Wind Farm, Japan. We capture the dynamic interplay of sensory, economic, and participatory dimensions over a decade using surveys conducted in 2013 (T1, n=55) and 2023 (T2, n=151), including paired responses from 36 revisited households. Annoyance from noise significantly declined over time, with mean annoyance scores increasing from 2.8 in 2013 to 4.0 in 2023 (p=0.002), reflecting long-term adaptation. Annoyance with shadow flicker decreased, with mean scores rising from 2.3 to 3.1 (p=0.004). New expanded residents in 2023 reported high annoyance levels (mean = 3.15) compared to long-term residents, indicating that initial exposure remains a challenge. Correlation analyses revealed strong associations between annoyance levels and property value concerns (r = 0.40, p &lt; 0.01) and between shadow flicker annoyance and the perceived necessity of public engagement (r = 0.33, p &lt; 0.01). The study revealed that the perceived importance of public participation in planning increased significantly over time (mean score increasing from 2.05 in 2013 to 2.57 in 2023, p &lt; 0.05). These findings highlight the need for adaptive and inclusive planning strategies, transparent communication, and tailored community engagement to promote the acceptance of wind energy projects. By offering longitudinal evidence, this study provides crucial insights into the socio-environmental dynamics of wind turbine integration and supports the design of policies aimed at harmonizing renewable energy expansion with community well-being.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100701"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic feasibility of repurposing retired electric vehicle batteries in residential off-grid photovoltaic systems","authors":"Saed Altawabeyeh,&nbsp;Heba Abutayeh,&nbsp;Kholoud Hijazi,&nbsp;Hussein Daoud","doi":"10.1016/j.ref.2025.100717","DOIUrl":"10.1016/j.ref.2025.100717","url":null,"abstract":"<div><div>As global electric vehicle ownership continues to rise, the growing number of retired electric vehicle batteries presents a significant opportunity to extend their lifespan by repurposing them for energy storage in residential solar systems. This study investigates whether it’s financially and technically feasible to repurpose old electric vehicle batteries to be used in residential off-grid Photovoltaic systems. Using Hybrid Optimization of Multiple Energy Resources (HOMER) Pro software, we compared two types of residential solar setups: one with new batteries and the other with retired EV batteries. The data are taken from the Jordanian market, where electric vehicle adoption is significant. Our findings indicate that using retired electric vehicle batteries resulted in a 16 % lower net present cost. Additionally, the affordability of retired batteries allowed for fewer solar panels and reduced reliance on diesel generators, leading to lower emissions.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100717"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937357","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 web-based decision support tool for multifarious renewable energy systems","authors":"Montseng Ramafikeng ,&nbsp;Oluibukun Ajayi ,&nbsp;Adedayo Adeleke","doi":"10.1016/j.ref.2025.100702","DOIUrl":"10.1016/j.ref.2025.100702","url":null,"abstract":"<div><div>Current global electricity demand is unprecedented, and it has perpetuated severe energy shortages and an increased reliance on and use of unsustainable non-renewable sources, particularly in countries across Africa. In South Africa, the growing energy demand, coupled with ageing coal-based electricity infrastructure, has fuelled interest, discourses, and research on the potential use of renewable energy. Therefore, this study aimed to use Geographic Information Systems (GIS) and Remote Sensing techniques to create a web-based interactive decision-making tool to measure and assess the availability and potential of wind, solar, and biomass energy sources, as well as to identify the most suitable sites for wind farms in the Atlantis area of South Africa’s Western Cape. This was achieved by implementing a map mashup using JavaScript and Hypertext Mark-up Language (HTML) to retrieve information about wind, solar, and biomass potential together with suitable areas to locate wind farms. The maximum solar radiation received by rooftops was approximately 1499 kWh/m2, which could potentially generate 287.9 kilowatts of electricity using a solar panel efficiency of 15% and a performance ratio of 86%. Similarly, the urban wind energy potential via building-integrated wind turbines was 102.3 kilowatts, utilising a nominal power of 10% and a minimum area of 24m2. Additionally, the biomass estimation was around 586.4 Mg/ha, potentially generating 7.5 kilowatts of electricity using a conversion efficiency of 20% and a heating value of 4.5. Consequently, the web-based platform provides a one-stop resource for investors, planners, and policymakers to access and make well-informed decisions about multifarious renewable energy potentials.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100702"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast islanding detection using intra harmonic analysis and support vector machine based root cause identification in grid connected DC microgrid","authors":"Sumangal Bhaumik ,&nbsp;Aveek Chattopadhyaya ,&nbsp;Jitendra Nath Bera","doi":"10.1016/j.ref.2025.100703","DOIUrl":"10.1016/j.ref.2025.100703","url":null,"abstract":"<div><div>This paper deals with the issues related to the protection of grid-connected DC microgrid by islanding it under faulty conditions. The magnitude of fault current of a renewable energy penetrated DC microgrid remains low as compared to the conventional grid. Accordingly the detection of faulty conditions of DC microgrid is itself a challenging task. The present work provides an approach where the faulty condition can be detected on nearly real time basis with the help of the harmonic analysis of the current at the point of common coupling. The integer and inter-harmonic of current signal upto 11th order are analysed and compared with the specified standard values in IEEC6216 for diagnosis purposes. The integer and inter-harmonic of current signal upto 11th order are analysed and compared with the specified standard values in IEEC6216 for diagnosis purposes. The DC microgrid can then be islanded once the result of this comparison exceeds the threshold value for protection purposes. Besides islanding, the root cause of the fault has also been identified by analyzing the fault using support vector machine classification technique. The proposed scheme is simulated and verified extensively with all possible faulty conditions. It is also verified with a hardware prototype. The results of these analyses justify the adopted scheme where 99.23% accuracy is achieved.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100703"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143641817","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 framework for load frequency regulation in multi-area grid-connected hybrid power systems with plug-in electric vehicles","authors":"Muhammad Majid Gulzar ,&nbsp;Ahlam Jameel ,&nbsp;Salman Habib ,&nbsp;Ali Arishi ,&nbsp;Rasmia Irfan ,&nbsp;Hasnain Ahmad ,&nbsp;Huma Tehreem","doi":"10.1016/j.ref.2025.100714","DOIUrl":"10.1016/j.ref.2025.100714","url":null,"abstract":"<div><div>Due to technological advancements, the rapid expansion of renewable energy in the power sector has led to challenges with operation, security, and management. Reduced grid inertia necessitates maintaining normal operating frequency and lowering tie-line power changes to assure stability and reliability. In this article, a framework for load frequency controller (LFC) that is based on the combinations of traditional controllers is proposed. In this study, the filtered derivative proportional controller cascaded with <span><math><mi>β</mi></math></span> proportional integral, abbreviated as <span><math><mrow><msub><mrow><mi>PD</mi></mrow><mi>F</mi></msub><mo>+</mo><mrow><mo>(</mo><mi>β</mi><mo>+</mo><mi>P</mi><mi>I</mi><mo>)</mo></mrow></mrow></math></span>, is suggested for LFC applications. In addition, the optimization of the proposed controller parameters for two-area power grids is tuned using the grasshopper optimization algorithm (GOA). The contribution of aggregated model for electric vehicles (EVs) is also taken into consideration. The performance of the proposed controller is evaluated with the effectiveness of other controllers like cascaded proportional integral and derivative (PI-PD), <span><math><mrow><mn>1</mn></mrow></math></span> plus proportional integral derivative (1+PID), <span><math><mrow><mn>1</mn></mrow></math></span> plus proportional integral (1+PI), and fractional order proportional integral derivative (FOPID). The proposed GOA optimizer tuned <span><math><mrow><msub><mrow><mi>PD</mi></mrow><mi>F</mi></msub><mo>+</mo><mrow><mo>(</mo><mi>β</mi><mo>+</mo><mi>P</mi><mi>I</mi><mo>)</mo></mrow></mrow></math></span> controller is tested for reliability against variations in load, penetration of renewable energy sources, and parametric uncertainties of the grid for the time integral absolute error (ITAE) objective function. By employing the proposed controller, the system achieves rapid and efficient minimization of the objective function. Thus, the controller is highly suitable for applications requiring quick response and precise performance.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100714"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895545","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":"Distributed optimization for microgrids control and management with virtual voltage source segregation","authors":"Asad Khan,&nbsp;Muhammad Mansoor Khan,&nbsp;Jiang Chuanwen","doi":"10.1016/j.ref.2025.100709","DOIUrl":"10.1016/j.ref.2025.100709","url":null,"abstract":"<div><div>This paper proposes a distributed optimization framework for islanded microgrids (MGs) control/optimization that achieves a global optimal solution with reduced computational and communication complexity. The proposed method breaks down the global optimization problem into simple sub–optimal problems by dividing the whole network into sub–networks. This is accomplished through virtual segregation of distributed generation (DG) voltage sources. In contrast to the existing distributed schemes, where each agent solves a full–scale optimization problem, taking into account information from the entire network and requires parameter consensus, the proposed approach solves individual sub–optimal problems independently. This substantially reduces the computational complexity and communication requirements at higher speed to promptly exchange information diffusion among the agents. Moreover, this study considers a multi–feeder MG comprised of numerous load feeders and sparsely available DGs, a MG system that has received limited attention in existing literature. The proposed distributed method has been tested for power sharing and load feeder voltage restoration in a radial–type multi–feeder islanded MG network; however, it holds potential for broader applications. A comprehensive analytical formulation, MATLAB numerical simulations, and realistic experimental findings for the proposed distributed method provide a detailed understanding of its capabilities and shortcomings.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100709"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824185","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":"Potential benefit and challenge analysis of photovoltaic-integrated electric vehicles applied in merchandise delivery services: a case study","authors":"Hidenori Mizuno,&nbsp;Katsuto Tanahashi,&nbsp;Takumi Takashima,&nbsp;Takashi Oozeki","doi":"10.1016/j.ref.2025.100692","DOIUrl":"10.1016/j.ref.2025.100692","url":null,"abstract":"<div><div>Photovoltaics-integrated electric vehicles (PVEVs) are expected to play a significant role in promoting renewable energy adoption in the transportation sector. In this case study, we investi- gated the benefits of PVEVs introduced as a service car for merchandise delivery operations in Fukushima, Japan. Data such as solar irradiation and battery state of charge (SOC) were collected using a demonstration EV and analyzed over 12 months. According to the PV power generation calculated from the solar irradiation, it was found that approximately 50% of the EV’s energy could potentially be achieved by installing PV modules covering the roof of the demonstration EV. Additionally, challenges to fully utilize the power generated by onboard PVs were identified. It was suggested that smart SOC control functions enabling PV prediction/charging stop are necessary to minimize the suppression of the onboard PVs due to no vacancy of the battery. However, even if such smart functionality is given to the vehicle, there could be possibility of inevitable PV suppression. Therefore, so-called vehicle-to-X technology will be necessary to fully exploit the power from onboard PVs.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100692"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decarbonizing Indonesia’s power system: exploring the potential of energy storage systems for a sustainable energy transition","authors":"Gany Gunawan","doi":"10.1016/j.ref.2025.100722","DOIUrl":"10.1016/j.ref.2025.100722","url":null,"abstract":"<div><div>Indonesia’s power sector is the country’s largest source of energy-related carbon emissions, with coal-based generation rising to 66% by 2020 despite national and international decarbonization targets. The Just Energy Transition Partnership (JETP) outlines an ambitious vision to reduce emissions and scale renewables, but achieving these goals requires flexible and coordinated grid planning, especially in systems with high variable renewable energy (VRE) penetration.</div><div>This study evaluates the role of energy storage systems (ESS) in supporting decarbonization in the Java-Bali power grid using a mixed-integer quadratic programming (MIQP) unit commitment model. The framework simulates hourly dispatch and regulation reserve across Moderate and Deep Decarbonization pathways from 2025 to 2050, incorporating carbon taxes, curtailment penalties, ESS operational constraints, and seasonal VRE variability.</div><div>Results show that ESS reduces curtailment by up to 20.1 TWh (Moderate) and 26.5 TWh (Deep) in 2050, with corresponding system cost savings of USD 2.14–2.22 billion under base VRE conditions. Emission reductions reach 1.9–3.2 MtCO₂, however rebound due to fossil-based charging under aggressive ESS deployment scenarios can raise emissions by up to 1.25 MtCO₂, highlighting the importance of strategic dispatch.</div><div>These findings confirm ESS as a critical enabler of renewable integration and cost reduction but also emphasize the need for emissions-informed dispatch and integrated planning. The analysis provides a quantitative foundation to support the JETP’s implementation and highlights policy levers needed to align ESS deployment with national decarbonization goals.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100722"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123257","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 deployment of reactive power in a renewable energy sources integrated system with EVs demand using local randomized neural networks","authors":"Abhishek Kumar Singh,&nbsp;Ashwani Kumar","doi":"10.1016/j.ref.2025.100719","DOIUrl":"10.1016/j.ref.2025.100719","url":null,"abstract":"<div><div>The rising popularity of Electric vehicles (EV) has resulted in a substantial increase in the amount of charging stations, which extensively affects the electrical grid, causing problems like power quality degradation, voltage fluctuations and higher losses. This paper proposes the novel application of Local Randomized Neural Networks (LRNN) for optimal deployment of reactive power in a renewable energy sources integrated system with EVs demand. The main aim of the proposed work is to reduce both active and reactive power loss and maximize reliability. The LRNN method predicts the optimal location for the fast charging station. The proposed methods performance is excluded in the MATLAB working platform and compared with several existing techniques, with Genetic Algorithm (GA), Sea Horse Optimization (SHO) and Particle Swarm Optimization (PSO).The proposed technique demonstrates superior performance by significantly reducing power losses across all buses in the system. Compared to conventional optimization techniques, the LRNN achieves the lowest computational complexity at 1.82%, and the fastest convergence speed in just 25 iterations. In terms of execution time, it completes in 0.34 s, faster than the Genetic Algorithm at 0.44 s, Sea Horse Optimization at 0.59 s, and Particle Swarm Optimization at 0.65 s. While its efficiency is 98% it offers an excellent balance between computational speed, accuracy, and loss minimization. These results highlight its potential as a highly effective solution for modern power systems integrating renewable sources and electric vehicles.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100719"},"PeriodicalIF":4.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178315","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}