Renewable Energy Focus最新文献

{"title":"Geospatial analysis of hydrogen production from biogas derived from residual biomass in the dairy cattle and porcine subsectors in Antioquia, Colombia","authors":"Mario Luna-delRisco ,&nbsp;Surani Mendoza-Hernández ,&nbsp;Lisandra Da Rocha Meneses ,&nbsp;Mauricio González-Palacio ,&nbsp;Carlos Arrieta González ,&nbsp;Jorge Sierra-Del Rio","doi":"10.1016/j.ref.2024.100591","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100591","url":null,"abstract":"<div><p>The specialized dairy cattle and porcine subsectors in the Region of Antioquia offer a sustainable and renewable energy source through anaerobic digestion of residual biomass. This process offers multiple advantages, including greenhouse gas emissions reduction, environmentally friendly fertilizer production, and the establishment of self-sustaining models for remote rural areas lacking access to traditional energy sources. Recent advancements in hydrogen production through methane conversion using biogas reforming technologies have garnered substantial attention as a viable fossil fuel alternative. The Colombian National Hydrogen Strategy, aimed at 2030, envisions an electrolysis capacity of 1–3 GW, requiring an estimated USD 5.5 billion investment in hydrogen production and demand projects, notably in mobility and refineries. This necessitates a specialized regulatory framework with incentives to drive lasting investments that align with decarbonization and reindustrialization objectives. This study conducted a comprehensive assessment of animal house boundary residual biomass sources to determine their biogas potential. Industrial livestock activities revealed substantial technical-energy potentials: 1,896 TJ/year for pig farming and 187 TJ/year for dairy cattle practices. The research’s primary objective was a geospatial analysis pinpointing hotspots for biogas production from residual biomass within the dairy cattle and porcine subsectors in the specific region of Antioquia, in Colombia. This research is of great interest as it contributes to the growing field of sustainable energy production. It highlights the potential of utilizing residual biomass to transform local energy landscapes in alignment with global sustainability imperatives.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"50 ","pages":"Article 100591"},"PeriodicalIF":4.8,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141239221","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":"Leveraging open-source data to study solar-wind complementarity in the global perspective","authors":"Robert Sabovčík ,&nbsp;Ján Mykhalchyk Hradický ,&nbsp;Martin Šinka","doi":"10.1016/j.ref.2024.100583","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100583","url":null,"abstract":"<div><p>Renewable energy sources, particularly solar and wind power, offer promising solutions for sustainable electricity generation. However, their inherent dependency on natural conditions and resulting intermittent generation pose challenges to the electricity grid.</p><p>This study investigates the strategy of wind-solar complementarity to partly mitigate this issue, leveraging open-source data from the Slovak Republic. Our analysis reveals that combined solar and wind generation aligns more closely with real consumption compared to individual solar generation. We employ two quantitative methodologies, ordinary least squares (OLS) and least absolute deviations (LAD) regressions, to demonstrate the consistency of our findings. Additionally, we assess the prevalence of dunkelflaute events using real-generation data, finding them to be infrequent and posing a minimal risk in the context of Central Europe.</p><p>We show that complementarity can be studied using open-source data for virtually any country in the world and thus quantitative methods can be used to advocate for renewable energy in general and balanced building of both wind and solar energy in particular. This research contributes to the broader understanding of renewable energy integration strategies and informs policymakers and stakeholders on optimizing energy systems for sustainability and cost-effectiveness.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"50 ","pages":"Article 100583"},"PeriodicalIF":4.8,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000474/pdfft?md5=75e6e656d4ed6eaff194c0fea74f3a0d&pid=1-s2.0-S1755008424000474-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141239220","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":"Integrated life cycle sustainability assessment with future energy mix: A review of methodologies for evaluating the sustainability of multiple power generation technologies development","authors":"Mohammad Hemmati,&nbsp;Navid Bayati,&nbsp;Thomas Ebel","doi":"10.1016/j.ref.2024.100581","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100581","url":null,"abstract":"<div><p>One key driver of sustainable goal development is the transition to sustainable electricity resources. The sustainability impact assessment of power production evaluates all potential impacts on society, the environment, and the economy, as well as finds a reasonable solution to shift towards renewable. Given the multitude of quantitative and qualitative methodologies for sustainability analysis, alongside the absence of a unified procedure, selecting an appropriate method poses a significant challenge in conducting this task. Therefore, this paper conducts an extensive review of the methodologies employed for assessing the sustainability of power generation within the future energy mix, as reflected in scientific publications over the past decade (2013–2024). The main objective of this paper is to compare the methodologies and assess their efficiency as suitable tools for analyzing the sustainability of technologies in different geographical regions. The research methodology, following the screening process, selects 102 papers within the study’s scope to undergo a critical examination based on sustainability evaluation approaches. It also provides an overview of novel dynamic methods and the application of artificial intelligence in sustainability assessment. The primary findings indicate a deficiency in a standardized approach for sustainability evaluation within electrical technology. In addressing uncertainties in impact assessment due to various parameters, dynamic methods with multiple temporal accuracies are recommended over a static life cycle. The paper includes a case study comparing methods—multi-criteria decision-making, and ranking, scoring—in the Indonesian context. Considering 15 environmental, social, and economic indicators to evaluate the sustainability in Lombok, results indicate that hydropower, gas, and solar technologies exhibit the highest sustainability scores, respectively.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100581"},"PeriodicalIF":4.8,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755008424000450/pdfft?md5=bd0df0beab81f9011c5659d4e0c125ef&pid=1-s2.0-S1755008424000450-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141083350","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":"An adaptive heuristic approach for Volt-VAr optimization in distributed generation integrated system","authors":"Deepak Porwal,&nbsp;Manoj Fozdar,&nbsp;Rajive Tiwari","doi":"10.1016/j.ref.2024.100580","DOIUrl":"10.1016/j.ref.2024.100580","url":null,"abstract":"<div><p>Volt-VAr optimization (VVO) is an important tool in improving the efficiency of distribution system by simultaneously coordinating voltage and reactive power both. Today, loads are largely dependent on voltage and thus, this voltage-dependence affects both real and reactive power. So, minimizing apparent power is more important than minimizing the energy. VVO enables distribution system utilities to run their network on comparatively lower voltage which ultimately increases energy savings. Devices such as, on load tap changers (OLTC), and voltage regulators (VRs) are commonly adopted techniques to regulate/boost the voltage. Capacitive banks (CBs) are also used to inject reactive power (VAr) into the system keeping the operational constraints and system constraints specified and satisfied. This paper presents a new methodology of Volt-VAr optimization using Genetic algorithm considering a variety of constraints. The test is performed on IEEE-69 bus system and results validate the efficacy of the proposed algorithm.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"50 ","pages":"Article 100580"},"PeriodicalIF":4.8,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141142930","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":"Detailed modelling and performance analysis of power flow topology in a hybrid electric vehicle having series-parallel architecture","authors":"Sheikh Fareed Mohammad ,&nbsp;Farhad Ilahi Bakhsh ,&nbsp;Md Ibrahim ,&nbsp;Naiyer Mumtaz ,&nbsp;Salman Hameed","doi":"10.1016/j.ref.2024.100579","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100579","url":null,"abstract":"<div><p>Despite massive investment and carbon-neutral transition goals set around the world, gasoline-based internal combustion engine vehicles still form an absolute majority in the transportation sector. With the advent of technology, access to electricity, uncertainties in fuel prices and health awareness, people worldwide are moving towards a better, reliable, cost-effective and environmentally friendly mode of transportation, a hybrid electric vehicle. Such a vehicle, with its powerful electric motor and compact gasoline-based engine, offers better efficiency in terms of operating cost and reliability. Considering the advent of hybrid electric vehicles taking pace, studies related to its architecture types, power flow dynamics, control and modelling of its various components will form an essential part of the automobile industry and research. This paper proposes a power flow topology for a hybrid electric vehicle with series-parallel architecture. The developed vehicle model with such an architecture type consists of three main sub-systems: the electrical system, the control system and the mechanical system. The presented power flow topology being modelled and analysed in detail in the Simulink tool is being implemented via a mode logic controller, which forms part of the central control system. The developed hybrid electric vehicle model demonstrates various modes of operation, from starting to accelerating to de-accelerating and then finally coming to a complete rest. Each mode yields and explains the following: the vehicle reference speed; the engine and generator turn functions on/off; the dc bus and battery voltage; the motor, battery, and generator current; the motor, generator, and engine speed; engine torque; engine power; throttle demand; and the vehicle’s actual speed. The results thus obtained show that the waveforms associated with such topology, during its various modes of operation, are pretty stable and acceptable, thereby depicting and validating the operation of the developed hybrid electric vehicle model with proposed power flow topology in a precise and transparent manner.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100579"},"PeriodicalIF":4.8,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140951704","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 chaos game optimization algorithm-based optimal control strategy for performance enhancement of offshore wind farms","authors":"Mohamed A.M. Shaheen ,&nbsp;Hany M. Hasanien ,&nbsp;S.F. Mekhamer ,&nbsp;Hossam E.A. Talaat","doi":"10.1016/j.ref.2024.100578","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100578","url":null,"abstract":"<div><p>This paper presents a novel application of the chaos game optimization (CGO) algorithm to optimally design PI controllers for power electronic interface circuits of offshore wind farms (OWF) consisting of a permanent magnet synchronous generator powered by a variable-speed wind turbine. The OWF is linked to the network via a high-voltage direct current (HVDC) transmission system. The CGO metaheuristic method is employed to fine-tune voltage source converter (VSC)-based HVDC transmission systems’ proportional-integral controller gains. The study explores multiple strategies to extract the highest power from the system while ensuring stability under symmetrical and unsymmetrical fault conditions. The CGO algorithm consistently yields superior results to other algorithms, improving system regaining and stability post disturbances. Consequently, the technique enhances the dynamic and transient stability of the OWF. The detailed study is implemented using MATLAB/Simulink.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100578"},"PeriodicalIF":4.8,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140948485","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":"Performance analysis of drone sqadron optimisation based MPPT controller for grid implemented PV battery system under partially shaded conditions","authors":"Debabrata Mazumdar ,&nbsp;Pabitra Kumar Biswas ,&nbsp;Chiranjit Sain ,&nbsp;Furkan Ahmad ,&nbsp;Taha Selim Ustun ,&nbsp;Akhtar Kalam","doi":"10.1016/j.ref.2024.100577","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100577","url":null,"abstract":"<div><p>In recent years, growing consumer demand for sustainable energy is driving down costs and paving the way for more clean energy in the future. Since these energies are sporadic, and the load pattern does not correlate to their generation pattern, a battery storage system is required. Operating dispersed alternative energy sources, connected to the grid in this situation makes energy control an unavoidable task. The difficulty is brought on by things like intermittent sources, daytime costs, solar panel and battery size restrictions, and limitations in battery charging and discharging rates. Moreover, integrating energy storage devices into the power system network is one of the recommendations made in this work to increase the performance and dependability of these systems. Compared to the existing works reported in the literature, this study offers enhanced control techniques for hybrid Photovoltaic and Battery Energy Storage System under fluctuating atmospheric scenario. Here, an innovative approach called Drone Squadron Optimisation, which tracks the Global Maximum Power Point, is used get maximum power. Further, suggested approach is tested with various partial shading instances and the uniform irradiance condition to validate it. This research also investigates photovoltaic models and the status of the battery storage device for improved energy management in the system. Finally, the proposed algorithm assists in quickly identifying the potential benefits of a grid-connected, battery-powered rooftop solar system.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100577"},"PeriodicalIF":4.8,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140879757","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":"Renewable energy potential in the State of Palestine: Proposals for sustainability","authors":"Yasser F. Nassar ,&nbsp;Hala J. El-Khozondar ,&nbsp;Mohamed Elnaggar ,&nbsp;Fady F. El-batta ,&nbsp;Rifa J. El-Khozondar ,&nbsp;Samer Y. Alsadi","doi":"10.1016/j.ref.2024.100576","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100576","url":null,"abstract":"<div><p>Renewable energy is not only a viable economic choice in Palestine, but it is also an imperative requirement to end the country's current energy crisis, which is particularly acute in the West Bank and Gaza Strip. The main focus of this study, which makes it the most thorough in its sector, is showcasing Palestine's distinct renewable energy potentials (thermal solar, PV, wind, biomass, and hydropower). The System Advisor Model software (SAM) was used to predict the power potentials for a year. The results indicate that Palestine has a significant potential for PV power generation within 1,700 kWh/kWp. Wind energy can see a considerable difference in capacity, with a mean power density in the high mountains of WB of 600 W/m², a mean power density for all of WB of 300 W/m², and a relatively low power density for GS of less than 100 W/m². Options for investments in the high seas and with the nearby Arabic nations were also offered. About 1,717 GWh of energy equivalent comes from biomass resources. It is determined that the best designed system can produce 82 % of the total while only 18 % is purchased from the grid using HOMER to retrieve the optimum on-grid hybrid energy system. Furthermore, only 70.7 % of the energy produced is consumed, with the remainder being sold back to the grid. Therefore, using renewable energy sources in addition to the grid is advised to cut costs and potentially generate income. Reduce reliance on fossil fuels and combat global warming, as well.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100576"},"PeriodicalIF":4.8,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140893376","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":"Comparative analysis of battery energy storage systems’ operation strategies for peak shaving in industries with or without installed photovoltaic capacity","authors":"César Cienfuegos ,&nbsp;Pedro M. Rodrigo ,&nbsp;Iván Cienfuegos ,&nbsp;Arturo Diaz-Ponce","doi":"10.1016/j.ref.2024.100574","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100574","url":null,"abstract":"<div><p>Battery energy storage systems can address energy security and stability challenges during peak loads. This study examines the integration of such systems for peak shaving in industries, whether or not they have photovoltaic capacity. The battery-sizing problem has been analyzed extensively. However, most analyses assume a specific battery operation strategy and ignore the impact of battery-charging schemes on system behavior. In this paper, the authors compare three different operation strategies for charging batteries in an industrial peak-shaving application based on historical demand data from a large electricity consumer in El Salvador. The three strategies are fast charging, time-based charging, and low-power threshold charging. The study analyzes the possible integration of a photovoltaic system with two different sizes for a range of battery sizes (from 250 to 1,500 kWh capacity), examining optimal peak shaving levels, economic savings, and battery degradation. Results indicate that fast-charging reduces monthly billing but degrades batteries faster. The estimated lithium-ion battery lifespan is 10-10.5 years, with a maximum difference of five months. These differences could affect the life cycle economics due to the high costs of battery replacement. The economic savings achieved by the peak shaving operation of the storage system are not enough to compensate the battery investment in this study. However, other case studies with different load profiles or other locations with more expensive electricity tariffs could make the adoption of these systems economically viable.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100574"},"PeriodicalIF":4.8,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140824175","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":"Sensitivity analysis of electrodes spacing media for evaluating alkaline electrolyzer performance through CFD modeling","authors":"Hani Muhsen ,&nbsp;Mohammad Alshawabkeh ,&nbsp;Mohammed Al-Mahmodi ,&nbsp;Adel Ghanem ,&nbsp;Ala'aldeen Al-Halhouli","doi":"10.1016/j.ref.2024.100575","DOIUrl":"https://doi.org/10.1016/j.ref.2024.100575","url":null,"abstract":"<div><p>Alkaline Water Electrolyzer (AWE) technology shows promising potential for shifting towards green hydrogen production. With the growing global interest in green hydrogen, understanding the dynamics of AWE systems becomes crucial to improving their performance. Therefore, this paper aims to provide a novel sensitivity analysis aspect to investigate the correlation within parameter variables associated with AWE's electrode separation media. These parameters include electrode-diaphragm gap, temperature, diaphragm thickness, and porosity, aiming to evaluate their impact on AWE current density. The methodology involves the development of a Computational Fluid Dynamics (CFD) model, conducting a parametric study, performing Analysis of Variance (ANOVA), and sensitivity testing within specified parameter ranges. The findings show that diaphragm porosity has a considerable effect, especially between 15 % and 60 % porosity, where the trend levels off at higher values. The electrode-diaphragm gap trend reveals a sensitive, nonlinear increase in cell current density as the gap decreases from its average, with a 75 % decrease yielding over 100 % higher current density, while adjustments beyond 10 mm have minimal impact on current density despite significant variations in other parameters. A 50 % temperature rise increases current density by 40 %, while a 50 % diaphragm width reduction modestly boosts current density by around 10 %. Understanding these sensitivities is vital for optimizing AWE's performance.</p></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"49 ","pages":"Article 100575"},"PeriodicalIF":4.8,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140824174","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}