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":"2025-03-31","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":"Techno-economic viability of energy-sharing model for net-zero emissions in the Malaysian corporate sector","authors":"Nur Iqtiyani Ilham ,&nbsp;Nofri Yenita Dahlan ,&nbsp;Mohamad Zhafran Hussin","doi":"10.1016/j.ref.2025.100704","DOIUrl":"10.1016/j.ref.2025.100704","url":null,"abstract":"<div><div>Achieving net-zero emissions by 2050 requires a transformative approach, with the corporate sector playing one of the significant roles. Transitioning from brown to green energy through innovative solutions like energy-sharing is critical in this journey. Despite global interest in energy-sharing frameworks, detailed assessments of such strategies remain scarce in Southeast Asia, particularly in Malaysia. Previous studies in this country have focused on optimizing solar PV and storage systems, neglecting the potential of integrated energy-sharing model and the adoption of Renewable Energy Certificates (REC) for energy trading. This research addresses this gap by proposing a techno-economic and environmentally viable energy-sharing model tailored for Malaysian Corporate Consumers (MCC), aiming to maximize financial and environmental benefits. The HOMER grid software is used to develop and simulate energy-sharing configurations, including (i) grid-connected Solar-Power-Plant (SPP), (ii) grid-connected SPP with Battery-Energy-Storage-System (BESS), and (iii) grid-connected BESS. Technical analysis identifies optimal SPP capacities to reduce MCC utility dependency, highlighting the potential of integrating BESS with SPP. Economic outcomes are evaluated for varying SPP sizes and BESS capacities at real-time System Marginal Price (SMP) as green energy tariff rate. Results show that grid-connected SPP with BESS projects are profitable at 5% Energy-Storage-Output-to-SPP-Output-Ratio (<em>R</em>), with 25-MW achieving the highest Net Present Value (NPV). Integrating BESS enhances SPP’s environmental performance, reducing CO₂ emissions by up to 25% compared to grid-connected SPP configurations. This research serves as a crucial guide for stakeholders and policymakers by demonstrating net-zero emissions initiatives through REC implementation in the energy-sharing landscape.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"54 ","pages":"Article 100704"},"PeriodicalIF":4.2,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704460","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":"2025-03-20","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":"2025-03-15","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":"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":"2025-03-09","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":"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":"2025-03-07","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":"Assessment of Time-Based Demand Response Programs for Electric Vehicle Charging Facilities","authors":"Mehdi Nikzad ,&nbsp;Abouzar Samimi","doi":"10.1016/j.ref.2025.100693","DOIUrl":"10.1016/j.ref.2025.100693","url":null,"abstract":"<div><div>In this paper, we apply stochastic optimization techniques to manage the charging and discharging processes of Electric Vehicles (EVs) within parking lots, utilizing various Demand Response Programs (DRPs) like Time-of-Use (TOU), Critical Peak Pricing (CPP), and Real-Time Pricing (RTP). The optimization model aims to balance the interests of both the parking lot owner and EV owners, achieved through a weighted objective function. The primary goal for the parking lot operator is to lower costs related to charge EVs during DRP participation, managed via controlling vehicle charge and discharge cycles. Meanwhile, EV owners seek to mitigate battery degradation and extend battery life by avoiding excessive charging and discharging cycles. To quantify battery degradation, we utilize the Rainflow Counting Algorithm (RCA), assessing the number of charge/discharge cycles and depth of discharge (DoD). The model, based on Mixed-Integer Nonlinear Programming (MINLP), is solved using GAMS software with the BONMIN solver, integrated with MATLAB for executing RCA. Additionally, we employ probability distribution functions (PDFs) that closely match real-world data for modeling the stochastic nature of EV parameters, such as arrival/departure times and initial State of Charge (SOC). Compatibility of these models is validated using statistical tools available in MATLAB’s Statistics Toolbox. A simulation of a standard parking lot accommodating 30 vehicles is conducted to test the model, along with a sensitivity analysis of the weighting coefficient β in the objective function, which influences the prioritization between the parking lot owner’s and EV owners’ interests. Results show that at lower β values, benefits accrue more to the parking lot owner, favoring RTP programs. Conversely, higher β values prioritize EV owners’ objectives, resulting in stable energy consumption patterns without grid injections. A comparative analysis of the three DRPs is also provided, offering insights into their effectiveness and implications for both parties involved.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"53 ","pages":"Article 100693"},"PeriodicalIF":4.2,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534432","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":"Carbon reduction and cost analysis in solar-biomass synergy for UAE’s 2030 energy transition","authors":"Neeraj Dhanraj Bokde,&nbsp;Jasmina Lazić,&nbsp;Carlo Fanara","doi":"10.1016/j.ref.2025.100691","DOIUrl":"10.1016/j.ref.2025.100691","url":null,"abstract":"<div><div>The United Arab Emirates faces a sharp rise in electricity demand, driven by the expansion of electric transportation, urban growth, and the increasing adoption of electric appliances. To address this, a strategic revision of the national energy policy is critical to achieve the UAE’s commitment at COP28 to triple renewable energy capacity by 2030. However, preliminary analyses suggest that relying solely on solar energy expansion, even with energy storage, may not be sufficient to meet the emissions target of 0.27 kg CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> per kWh by 2030. This study evaluates the integration of solar energy with two biomass sources: organic biomass and municipal solid waste (MSW)-based biomass, to address this gap. Organic biomass, despite higher fuel and capital costs, provides a stable and carbon-neutral energy source, while MSW-based biomass offers dual benefits of energy generation and urban waste management. Our findings indicate that combining solar and biomass significantly reduces the levelized cost of electricity and annual fuel costs while delivering substantial reductions in carbon emissions. For instance, incorporating biomass reduces the LCOE of the energy mix from $45.8/MWh in the baseline scenario to $38.1/MWh with organic biomass and $39.4/MWh with MSW-based biomass, while improving grid stability and enhancing storage utilization. This analysis highlights the critical role of a diversified renewable energy strategy in achieving the UAE’s sustainability goals. By integrating solar and bio-energy, the UAE can transition towards a cost-effective, resilient, and carbon-neutral energy system, paving the way for a more sustainable future.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"53 ","pages":"Article 100691"},"PeriodicalIF":4.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527499","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":"Offering strategy of price-maker energy hubs in integrated local electricity and heat markets","authors":"Saba Norouzi ,&nbsp;Mojtaba Dadashi ,&nbsp;Sara Haghifam ,&nbsp;Hannu Laaksonen ,&nbsp;Kazem Zare","doi":"10.1016/j.ref.2025.100689","DOIUrl":"10.1016/j.ref.2025.100689","url":null,"abstract":"<div><div>Integrated energy systems are considered a promising solution for increasing the flexibility of energy systems and accommodating more renewable energy resources to achieve decarbonization targets. In the context of EU countries, power-to-heat technologies are useful for achieving sector-coupling aspirations. However, designing an appropriate market-based platform that facilitates efficient cooperation and interaction among various power and heat units is crucial. Integrated energy systems in the form of energy hubs play an important role in this market-based framework as interface agents among different energy carriers. To this end, the paper proposes a market design based on a simultaneous market clearing in local power and heat markets, in which a price-maker energy hub participates in an attempt to maximize its revenue by offering in the joint markets. Hence, a bi-level programming method is used, in which, at the upper level of the problem, the focus is on maximizing the entity’s profit, while the lower level addresses the local integrated market-clearing process. Second-order stochastic dominance constraints are also imposed on the problem to mitigate the studied energy hub’s market participation risks. The problem is solved in two different sections, including the risk-neutral and risk-averse perspectives of the energy hub operator. The results of the proposed risk-averse bi-level scheme are demonstrated to be appropriate for each EH to promote its benefit in the joint power and heat markets while controlling the profit distribution and the risk of market participation based on the operator’s market preference. The results indicate that implementing the proposed approach allows EH’s owner to adjust its day-ahead offers in real time using flexible units in both power and heat forms. Also, imposing second-order stochastic dominance constraints enables the EH’s operator to adjust its profit in the worst scenario based on its preference in a wide range, 873 € to 1737 €, which is not possible in other risk-management methods like CVaR.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"53 ","pages":"Article 100689"},"PeriodicalIF":4.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474278","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":"Solar photovoltaics adoption and its impacts on energy consumption: evidence from Japanese households","authors":"Merhaba Memtimin (Mairehaba) (Maimaitiming) ,&nbsp;Nan Wang ,&nbsp;Gento Mogi","doi":"10.1016/j.ref.2025.100690","DOIUrl":"10.1016/j.ref.2025.100690","url":null,"abstract":"<div><div>This study provides an in-depth analysis of solar photovoltaics (PV) adoption behavior in Japanese households using data from a five-year survey spanning 2014–2020. Through logistic regression, we investigate the relationship between socio-demographic characteristics, energy-saving behavior, and solar radiation and solar PV adoption. Furthermore, this work examines behavioral differences between households with and without solar PVs, focusing on the rebound effect in electricity consumption and spillover effects in the adoption of related technologies and other energy consumption patterns. Our findings reveal that larger households, residents of newly constructed, detached homes, and those with higher solar radiation exposure are more inclined to adopt solar PV systems. Conversely, lower-income households are less inclined towards solar PV installation, with little impact from energy-saving behaviors. The findings suggest a possible rebound effect, as solar PV households tend to use more electricity than non-PV households, while showing reduced reliance on other energy sources except gasoline. These households benefit from reduced total electricity costs by selling back excess solar-generated power. We also identify potential spillover effects in related technology adoption. This study sheds light on the complex dynamics of solar PV adoption and its broader impact on household energy behavior, providing valuable insights for promoting sustainable energy solutions.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"53 ","pages":"Article 100690"},"PeriodicalIF":4.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520174","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}