Renewable Energy Focus最新文献

{"title":"Framework for policy prescription to sustainably steer stochastic penetration of electric vehicles and solar PV in distribution network of a developing country","authors":"Rimsha Razaq ,&nbsp;Kashif Imran ,&nbsp;Raveena Kumari ,&nbsp;Abdul Kashif Janjua ,&nbsp;Maha Iftikhar ,&nbsp;Jiangfeng Zhang ,&nbsp;Ammar Kharal","doi":"10.1016/j.ref.2024.100548","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100548","url":null,"abstract":"<div><p>Cash-strapped distribution companies of developing countries face stochastic penetrations of solar photovoltaic units (PVs) and electric vehicles (EVs) while planning to manage their uncertain growth trajectories. Since Pakistan’s power distribution sector is not technically and financially sound, this research presents a framework for policy prescription to avoid dangerously burdening distribution companies or deteriorating the grid conditions. The EV load model considers EVs' arrival and departure times based on a survey of daily commuters. The Burr distribution function is used for selecting sizes of the PVs for grid integration because it best fits sampled data of installed PVs in the country. After stochastically selecting network nodes for integrating EVs and PVs to mimic their locational growth, technical and financial parameters are evaluated with and without the net metering effect. At peak PV hour and higher PV penetration of 50%, voltage limit conformance improves from 88% to 94% if net metering is not allowed. Results show that annual net revenue increases with rising EV penetration and always remains positive in the absence of PV. However, irrespective of EV penetration level, even 25% PV penetration and consequent loss of cash inflows lead to negative net revenues. The study concludes that excessive PV penetration with net metering causes voltage instability and negative net revenues, whereas EV integration can reduce both effects. A network-wide extension of our research methodology, to representative feeders selected by clustering, is proposed as a framework for policy prescription to steer the growth of EVs and PVs integration sustainably.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100548"},"PeriodicalIF":4.8,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000127/pdfft?md5=4a6f3c4edb385e42c6be8f6cf936ac9e&pid=1-s2.0-S1755008424000127-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139699279","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":"4E comparison and optimization of natural gas or solar-powered combined gas turbine cycle and inverse Brayton cycle in hydrogen and freshwater multi-generation systems","authors":"Mohammad Zoghi ,&nbsp;Nasser Hosseinzadeh ,&nbsp;Ali Zare","doi":"10.1016/j.ref.2024.100546","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100546","url":null,"abstract":"<div><p>Replacing fossil fuel-based systems with renewable energy resources is a method to enhance the performance of the layout and reduce environmental pollution. The gas turbine cycle (GTC) is one of the main sources of consuming natural gas (NG) in a combustion chamber (CC). In the present study, the theoretical performance of a 500 kW CC-based gas turbine cycle is improved by replacing the NG CC with a solar power tower (SPT) and converting it into a multi-generation system. The waste heat recovery of GTC is done by a hot water unit and an inverse Brayton cycle (IBC), and then the energy of the heat rejection stage of IBC and the exhausted gas of the system is recovered by a thermoelectric generator (TEG) and an absorption chiller. Afterwards, the produced power of IBC and TEG is fed to a proton exchange membrane electrolyzer and a reverse osmosis desalination unit for hydrogen and potable water outputs. 4E optimization shows that the exergy efficiencies of the CC-based system (Configuration 1) and the SPT-based system (Configuration 2) are equal to 37.2% and 9.12%, respectively. However, the economic performance of Configuration 2 is better. In this case, the total cost rate and unit cost of multi-generation in Configuration 2 are 142.1 $/h and 15.14 $/GJ in comparison with 145.5 $/h and 31.58 $/GJ for Configuration 1. In addition, the fossil fuel consumption and emissions of Configuration 2 are zero, while the fuel and environmental cost rate make up 54.76% of the total cost rate of Configuration 1.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100546"},"PeriodicalIF":4.8,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000103/pdfft?md5=4dda668904cecc11f26cdfb7de14c3bf&pid=1-s2.0-S1755008424000103-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139699278","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":"The renewable energy role in the global energy Transformations","authors":"Qusay Hassan ,&nbsp;Patrik Viktor ,&nbsp;Tariq J. Al-Musawi ,&nbsp;Bashar Mahmood Ali ,&nbsp;Sameer Algburi ,&nbsp;Haitham M. Alzoubi ,&nbsp;Ali Khudhair Al-Jiboory ,&nbsp;Aws Zuhair Sameen ,&nbsp;Hayder M. Salman ,&nbsp;Marek Jaszczur","doi":"10.1016/j.ref.2024.100545","DOIUrl":"10.1016/j.ref.2024.100545","url":null,"abstract":"<div><p>In a comprehensive analysis of the global transition towards renewable energy, the study revealed significant disparities in adoption rates and technological advancements across nations, while also underscoring the potential for an extensive shift in energy paradigms. Utilizing data from the renewable energy map scenario, findings indicate that renewable energy sources could command up to two-thirds of the global primary energy supply by 2050, a stark contrast to the modest 24% contribution predicted by the reference scenario. European Union countries, particularly Denmark and Germany, emerge as frontrunners in this transition, with impressive wind energy integrations and overall renewable mixes. In Asia, rapid strides are evident with countries such as China and India demonstrating an annual growth rate surpassing 30% in solar and wind sectors. The Americas, represented robustly by the United States, Canada, and Brazil, highlight a diverse renewable integration, each varying in their contributions. Meanwhile, Middle Eastern countries, are progressively diversifying their energy portfolios, and while Africa displays potential, the transition is constrained by infrastructural challenges. The study underscores the tangible global momentum towards renewable energy but emphasizes the continued disparities influenced by a myriad of geopolitical, technological, and economic determinants. The outcomes of this research not only elucidate the current state and trajectory of renewable energy adoption but also underscore the critical importance of tailored policies, investments, and collaborations to accelerate this global shift.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100545"},"PeriodicalIF":4.8,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000097/pdfft?md5=f27f3fa21702eb8aad49cb5d91ab7830&pid=1-s2.0-S1755008424000097-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139639992","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":"Arrangement for reliable power supply to emergency commercial customers with techno-economic performance improvement of PV enhanced distribution systems","authors":"Soumyakanta Samantaray,&nbsp;Partha Kayal","doi":"10.1016/j.ref.2024.100543","DOIUrl":"10.1016/j.ref.2024.100543","url":null,"abstract":"<div><p>Accelerating engagement of distributed energy resources unleashed the dependency on traditional electric power generation. To reduce the craving for traditional power dependency and unplanned outages the power distribution sectors are gradually adopting cleaner and reliable electrification. However, the unscheduled and unorganized engagement of stochastic generation from renewable energy sources (<em>RES</em>) makes the distribution system operation more vulnerable. For reliable and continuous power supply with <em>RES</em>, scheduled operation of <em>BSSs</em> and power capacitor (<em>CAP</em>) units can be integrated to provide emergency power supply support to consumers. In this paper, the supply of continuous and reliable power to commercial and emergency customers has been investigated subject to complete reliability (<em>CR</em>). The benefit-to-cost ratio (<em>BCR</em>) has been maximized to give reliable power to consumers by the minimum investment cost by utility, which can benefit both electric customers and power distribution operators in a single platform. The maximization of <em>BCR</em> has been evaluated by optimal <em>S-CDS</em> of the <em>BSSs</em> and <em>S-S</em> of <em>CAP</em> units’ operation through the PSO technique in the considered 28-bus active distribution network in different seasons. The techno-economic benefit of integrating only <em>BSSs</em> and <em>BSSs</em> with <em>CAP</em> units in the prospective locations has been analyzed. The improvement in battery life and decrease in <em>SAENS</em>, <em>SADPL</em>, and <em>SADD</em> have been obtained, which shows the efficacy of the proposed work.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100543"},"PeriodicalIF":4.8,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000073/pdfft?md5=a453226fd595f4d03e9c6bd70ba23e6e&pid=1-s2.0-S1755008424000073-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139631223","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":"Analyzing the relationship between oil prices and renewable energy sources in Italy during the first COVID-19 wave through quantile and wavelet analyses","authors":"Cosimo Magazzino ,&nbsp;Lorenzo Giolli","doi":"10.1016/j.ref.2024.100544","DOIUrl":"10.1016/j.ref.2024.100544","url":null,"abstract":"<div><p>The paper aims to analyze the evolution of oil prices and renewable energy production in Italy during the first wave of the COVID-19 pandemic crisis with daily data for the period January 2020-September 2020 through several time series techniques (long memory test and spectral causality analysis) and Wavelet Analysis tools. Italy has been the first country all over the world to be severely hit by the pandemic, reacting immediately with strong restrictive measures. The applied results show that oil prices and renewable energy sources were highly correlated during the pandemic shock. Moreover, causality tests reveal a unidirectional flow running from solar, hydro, and wind sources to oil prices, highlighting the relevance of the effect of the energy transition on the oil market. It is also imperative for a country that is a net energy resources importer to achieve a more sustainable way of production and accelerate the energy transition process, especially during phases of high fossil fuel prices.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100544"},"PeriodicalIF":4.8,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000085/pdfft?md5=e8c5a4021b9ffa4930f03915bb48f915&pid=1-s2.0-S1755008424000085-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139632892","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":"A distributionally robust energy management of microgrid problem with ambiguous chance constraints and its tractable approximation method","authors":"Chen Zhang ,&nbsp;Hai Liang ,&nbsp;Ying Lai","doi":"10.1016/j.ref.2024.100542","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100542","url":null,"abstract":"<div><p>As the penetration of intermittent renewable energy increases in microgrid systems, flexible power generation resources cause the power imbalance problem. To improve the absorption of renewable energy and to deal with its uncertainty more effectively, this paper proposes a distributionally robust approximate model for microgrid with ambiguous chance constraints (DR-CCP). First, the distributionally robust model with ambiguous chance constraints is a semi-infinite chance constrained planning problem, which is computationally difficult and inefficient, so the use of Chernoff's inequality to derive a safe tractable approximation form for the ambiguous chance constraint on the basis of a probability distribution for ambiguous sets including bounded perturbations with mean zero, transforms it into a mixed integer linear programming problem that can be directly solved using CPLEX to solve it. Then, the optimal value of the proposed model is used to approximate equivalent conditional value at risk (CVaR), and the relationship with CVaR is established. The optimal solution of our model is employed to construct multiple sets of comparison models, enhancing the richness of numerical experiments. Finally, to validate the feasibility and effectiveness of our proposed model, a series of diverse tests are performed on the IEEE 33-bus power distribution system.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100542"},"PeriodicalIF":4.8,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000061/pdfft?md5=40e40f1ea8b61cc1dead464404068dd0&pid=1-s2.0-S1755008424000061-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139488083","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":"Effective hydropower renewable energy source selection using fuzzy neutrosophic boundary approximate area","authors":"Krishnan Suvitha ,&nbsp;Samayan Narayanamoorthy ,&nbsp;Michael Sandra ,&nbsp;Dragan Pamucar ,&nbsp;Vladimir Simic ,&nbsp;Daekook Kang","doi":"10.1016/j.ref.2024.100537","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100537","url":null,"abstract":"<div><p>Small hydropower plants in rural areas are contributing to marginal economic growth and social progress, but their social sustainability assessment is under-studied. Previous studies have shown that no single <span>renewable energy source (RES)</span><svg><path></path></svg> can fully meet all sustainability criteria, despite their focus on single-user systems. Scaled renewable energy systems have varying impacts across different systems, involving technical, environmental, social, and economic aspects. This paper proposes a Triangular Fuzzy Neutrosophic Numbers (TFNNs) as an extension of the multi-attributive border approximation area comparison (MABAC) method for hybrid multi-criteria decision-making (MCDM). The proposed method is utilized to assess the selection of <span>hydropower</span><svg><path></path></svg> as the most efficient and sustainable renewable energy source for society. Pairwise comparison matrices were used to determine priority vectors and weighted averages of indicators for seven criteria. The evaluation framework analyzed five key dimensions of hydropower plants. The most stable renewable energy source, <span>pumped storage hydropower (60.78%)</span><svg><path></path></svg>, was found to be followed by <span>run-of-river hydropower (56.39%)</span><svg><path></path></svg>, <span>impoundment hydropower (50.03%)</span><svg><path></path></svg>, <span>storage hydropower (39.78%)</span><svg><path></path></svg>, and <span>offshore hydropower (07.95%)</span><svg><path></path></svg>. The study offers valuable insights for policymakers and implementer on sustainable electricity solutions for hydropower. Pumped storage hydropower (PSH) improves facility efficiency by ensuring optimal operation of coal and nuclear generators without energy loss. The system can provide a stable and reliable power storage solution for renewable energy sources like wind and solar.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100537"},"PeriodicalIF":4.8,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000012/pdfft?md5=0832c8c33cfa9afb9f15565ece9bd62f&pid=1-s2.0-S1755008424000012-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139488084","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":"A simplified multi-objective planning approach for allocation of distributed PV generators in unbalanced power distribution systems","authors":"Sukalyan Maji,&nbsp;Partha Kayal","doi":"10.1016/j.ref.2024.100541","DOIUrl":"10.1016/j.ref.2024.100541","url":null,"abstract":"<div><p>Uneven distribution of loads in three-phase power networks causes voltage unbalances and reduces system’s efficiency. Adding PV generation that is intermittent only makes issues more challenging. Taking into account seasonal changes in both load demand and PV generation, this study presents a new method for the precise placement of PV systems inside unbalanced networks in order to enhance system performance. The most efficient PV hosting is accomplished with the help of a novel value-adaptive weight-aggregated (VAWA) grey-wolf optimizer (GWO) within a multi-objective problem framework. The use of the VAW aggregation strategy may effectively mitigate the limitations associated with the linearization problem with multiple objective functions. This approach is suitable for combining several objectives into a single aggregated objective. Two diverse unbalanced radial distribution systems (URDSs) are considered for the investigation in order to examine and validate the recommended method. Voltage unbalance factor (VUF), voltage security factor (VSF), and active power loss (APL) are three distinctive objectives that are considered to be key contributors to the distribution system performance parameter on an annual basis. The yearly average VSF, VUF, and APL of the Indian 19-bus URDS test network improved by 0.62%, 12.97%, and 38.81% once the PV system was included. Compared to before PV allocation, the modified IEEE 123-bus test network's annual average VSF and APL are improved by 0.081% and 13.42%, respectively. GWO convergence data from the obtained results reveals that it outperforms PSO by reaching the global optimum solution on multiple occasions with regard to test runs.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100541"},"PeriodicalIF":4.8,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S175500842400005X/pdfft?md5=00d9d309a8aaf76a75ca1edee8b95c3c&pid=1-s2.0-S175500842400005X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139638837","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":"Charging management of electric vehicles with the presence of renewable resources","authors":"Morteza Azimi Nasab ,&nbsp;Wedad Khamis Al-Shibli ,&nbsp;Mohammad Zand ,&nbsp;Behzad Ehsan-maleki ,&nbsp;Sanjeevikumar Padmanaban","doi":"10.1016/j.ref.2023.100536","DOIUrl":"https://doi.org/10.1016/j.ref.2023.100536","url":null,"abstract":"<div><p>Considering the increasing use of electric vehicles, the establishment of charging stations to exchange power between the grid and electric devices, and the integration of charging stations with solar power generation sources, the optimal use of electric vehicle charging stations in the power system. The purpose of cost reduction in the presence of the intelligent environment is a challenge that must be investigated so that this platform is suitable for predicting the behaviour of vehicles and, as a result, optimizing their presence in the power network. This research presents a relatively complete radial distribution network development planning model in two scenarios. In the first scenario, the effects of electric vehicles are not considered, and only the effects of distributed production (renewable and dispatchable) are considered. Studies have been done on a sample 54-bus network, a common system in most Distribution expansion planning (DEP) articles for distribution networks. In addition, the real data of American highways have been used to create raw input data. Also, due to the distance limit, the information on vehicles under 100 miles has been received as electric vehicle information. The clustering method and Capiola multivariate probability distribution functions have created suitable vehicle scenarios during different planning years. Capiola’s method increases the accuracy of vehicle load forecasting according to a predetermined growth rate. The DEP problem in this research is modeled as an optimization problem based on scenario, dynamic, and in 5 one-year time frames (5-year time horizon and one-year accuracy). The results indicate that, in the presence of electric vehicles and distributed production sources, the technical characteristics of the network are improved.</p><p>Similarly, the use of DGs, in addition to reducing the cost of equipment, has reduced undistributed energy in the system. But 10,000 vehicles, which have been applied to the network as an uncontrolled load, have caused an increase in undistributed energy. The cost of equipment required for the network development is almost as much as 5%.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100536"},"PeriodicalIF":4.8,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008423001321/pdfft?md5=ed10a4f8cac0ffddc22163171bea0211&pid=1-s2.0-S1755008423001321-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139503459","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":"A highly efficient and cost-effective liquid biofuel for agricultural diesel engines from ternary blending of distilled Yang-Na (Dipterocarpus alatus) oil, waste cooking oil biodiesel, and petroleum diesel oil","authors":"Wuttichai Roschat ,&nbsp;Sunti Phewphong ,&nbsp;Sakorn Inthachai ,&nbsp;Kaewta Donpamee ,&nbsp;Nantakon Phudeetip ,&nbsp;Tappagorn Leelatam ,&nbsp;Preecha Moonsin ,&nbsp;Somporn Katekaew ,&nbsp;Krittiyanee Namwongsa ,&nbsp;Boonyawan Yoosuk ,&nbsp;Pathompong Janetaisong ,&nbsp;Vinich Promarak","doi":"10.1016/j.ref.2024.100540","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100540","url":null,"abstract":"<div><p>This study reports a highly efficient and cost-effective liquid biofuel for agricultural diesel engines by a ternary blending of waste cooking oil (WCO) biodiesel, distilled Yang-Na oil, and petroleum diesel oil. Biodiesel oil from WCO synthesized by NaOH-catalyzed pilot plant-scale solar reactor exhibited fuel properties that met ASTM-D6751 and EN-14214 standards. Crude Yang-Na was distilled at 280 ^oC to obtain distilled Yang-Na oil with major components of α-Gujernene (63.07 wt.%), α-Caryophyllene (19.08 wt.%), γ-Gujernene (5.16 wt.%), and γ-Elemene (5.23 wt.%), along with 7.46 wt.% of other hydrocarbon compounds. The ternary blendings of waste cooking oil (WCO) biodiesel, distilled Yang-Na oil, and petroleum diesel oil were formulated (50:30:20 and 50:25:25) and their physicochemical properties were evaluated and compared with a commercial B10 petroleum diesel oil. The formulated liquid biofuels met standards and closely resembled petroleum diesel with a viscosity of 3.86 cSt, density value of 876 kg m^-3, and heating values of 9991 kcal/kg. The performance testing of the blended fuels in a small agricultural diesel engine showed the efficiency levels matched with a commercial B10 petroleum diesel oil and outperformed individual biodiesel and distilled Yang-Na oil. Variances in Brake Power and Brake Specific Fuel Consumption were &lt;1% with low emissions of CO₂, CO, HC, and NO_x, while Engine Torque and biofuel consumption during cultivation showed differences of 3.42% and 2.54%, respectively. Accordingly, the obtained blended fuel is a promising option for community resource utilization, offering an alternative energy source for future communities.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"48 ","pages":"Article 100540"},"PeriodicalIF":4.8,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000048/pdfft?md5=42ef3aea3f7e569595e30747509916a3&pid=1-s2.0-S1755008424000048-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139436036","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}