Energy Science & Engineering最新文献

{"title":"Exploring thermal flow dynamics in pressurized water reactors using hybrid graphene nanoplatelet coolants","authors":"Sinem Uzun,&nbsp;Yasin Genç,&nbsp;Adem Acır","doi":"10.1002/ese3.1880","DOIUrl":"https://doi.org/10.1002/ese3.1880","url":null,"abstract":"<p>This study investigates the impact of hybrid nanoparticles on the temperature of nuclear reactor coolant, with a focus on graphene nanoplatelet (GNP)-based hybrid nanoparticles. Sixteen different hybrid nanofluids were analyzed, and their performance was compared with a standard water-based coolant. The criticality values were obtained through MCNP modeling, revealing that higher nanoparticle ratios led to increased criticality, with the highest value of 1.3239 observed in GNP-Fe₃O₄ + Al₂O₃ nanofluids (0.05 wt%) and the lowest value of 1.2935 in GNP–Fe₃O₄ + SiO₂ nanofluids (0.001 wt%). Temperature variations showed that increasing nanoparticle concentrations resulted in slightly higher temperatures, with a maximum of 611.97 K for 0.05 vol.% GNP nanoparticles. Additionally, the departure from nucleate boiling ratio values were consistently above the safety threshold of 2.08, with the lowest value of 3.657 for GNP–Fe₃O₄ + SiO₂ nanofluids (0.05 vol.%). These findings suggest that hybrid nanofluids, particularly those with higher nanoparticle ratios, can enhance the thermal performance and safety margins of nuclear reactor coolants, offering a promising avenue for future research and application.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 11","pages":"4894-4903"},"PeriodicalIF":3.5,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1880","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the technical improvement of the turbine runner of a power station based on improving stability","authors":"Shenhui Li,&nbsp;Bing Yao,&nbsp;Jiayang Pang,&nbsp;Demin Liu,&nbsp;Dan Chengmei,&nbsp;Dengyun Jiang,&nbsp;Haiqi Wang,&nbsp;Yuanyuan Gang,&nbsp;Huan Cheng,&nbsp;Xiaobing Liu","doi":"10.1002/ese3.1898","DOIUrl":"https://doi.org/10.1002/ese3.1898","url":null,"abstract":"<p>In view of problems such as the narrow efficiency area, large hydraulic vibration area, pressure pulsation, and serious sediment wear of turbines at the Futang hydropower station, the technical transformation of turbine runners was carried out by modifying the blade shape and increasing the blade thickness, and a combination of numerical simulations based on shear stress transport <i>k–ω</i> turbulence model and tests was adopted to improve the operational stability of power station units. Calculation and testing demonstrate an enlargement of the high-efficiency zone. Specifically, the optimal efficiency of the runner increases by 0.37%, while the rated efficiency rises by 0.19%. Significant reductions are observed in pressure pulsation within the draft tube and vaneless area decrease of approximately 50%. There is a high-frequency pressure pulsation in the vaneless zone and the runner under low-load conditions, and the influence of dynamic and static interference gradually weakens with the increase of opening. The draft tube is prone to eccentric vortex bands under partial working conditions, which causes the unit to be affected by low-frequency pulsation. This optimization also leads to a notable decrease in runner blade wear, with the maximum sand and water velocity reduced from 45 to 40 m/s, resulting in a 30% reduction in sand wear. Moreover, there is a substantial enhancement in the runner's stiffness, with the thickness of the blade near the high stress area of the upper crown and lower ring increasing by over 50%, and the weight of each individual blade increasing by more than 50%. These research findings validate that modifying the runner blade effectively improves flow patterns, reduces eddy current generation, minimizes pressure pulsation, widens the high-efficiency zone, decreases wear, and enhances the operational stability of the unit. The technical transformation method and research results of this study have important guiding significance for similar technical transformation of other power stations</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 10","pages":"4582-4597"},"PeriodicalIF":3.5,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1898","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A characterization study of Wadi Thamad oil shale: Towards a new source of energy in Jordan","authors":"Nada M. Al-Ananzeh,&nbsp;Khalid Bani-Melhem,&nbsp;Hussam Elddin Khasawneh,&nbsp;Asem Al-Jarrah,&nbsp;Ibrahim F. Abuawwad","doi":"10.1002/ese3.1882","DOIUrl":"https://doi.org/10.1002/ese3.1882","url":null,"abstract":"<p>Jordan's energy sector faces significant challenges due to rising fuel prices, making the exploration of local energy resources crucial. The abundant oil shale deposits in Wadi Thamad present a promising opportunity. Since Wadi Thamad oil shale has never been studied before, this research focuses on the Wadi Thamad basin near Madaba, Jordan, aiming to comprehensively characterize its oil shale using advanced analytical techniques. Using X-ray diffraction, Fourier transform infrared spectroscopy, X-ray fluorescence, scanning electron microscopy, thermogravimetric analysis (TGA), and differential scanning calorimetry, this study assesses the mineralogical, chemical, and thermal properties of Wadi Thamad oil shale. The findings reveal calcite and quartz as the primary minerals, with significant aliphatic, CO₂, hydroxyl, and carboxyl groups. Elemental analysis highlights essential oxides, such as CaO and SiO₂. Fischer assay results indicate an oil content of 5.3–10.1 wt%, a gross-calorific value of 4.56–7.69 MJ/kg, and a sulfur content of 1.77–2.10 wt%. The peak pyrolysis temperature is 432.4°C from TGA. This research's novelty lies in its comprehensive approach to characterizing the underexplored Wadi Thamad oil shale basin. The findings enhance the understanding of Wadi Thamad's geological composition and underscore its potential as a local energy resource, contributing valuable data to Jordan's energy portfolio and offering economic benefits.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 10","pages":"4180-4191"},"PeriodicalIF":3.5,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1882","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An energy consumption rectification method based on Bayesian linear regression and heating degree-days","authors":"Shouchen Sun,&nbsp;Jiandong Wang,&nbsp;Qingdian Sun,&nbsp;Changsheng Zhao","doi":"10.1002/ese3.1920","DOIUrl":"https://doi.org/10.1002/ese3.1920","url":null,"abstract":"<p>The time-varying external environment is one of the main variables influencing heating energy consumptions, so that its influence should be rectified when energy savings of different heating modes are calculated. This paper proposes an energy consumption rectification method based on Bayesian linear regression and heating degree-days, to obtain heating energy consumptions without the influence of different outdoor temperatures. The proposed method consists of three main steps. First, a physical model of heating houses is used to prove a relationship between energy consumptions and heating degree-days. Second, Bayesian linear regression is exploited to estimate uncertainty ranges of heating energy consumptions. Finally, heating energy consumptions are rectified, and energy savings with their uncertainty ranges for different heating modes under the same outdoor temperature are obtained. The proposed method does not require the physical parameters of heating houses to facilitate practical implementation. Additionally, it provides uncertainty ranges of heating energy consumptions to measure the estimation accuracy. Numerical and experimental examples show that the proposed method provides more accurate estimates of heating energy consumptions than existing methods.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 10","pages":"4720-4736"},"PeriodicalIF":3.5,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1920","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing a resilient framework for electric vehicle charging stations harnessing solar energy, standby batteries and grid integration with advanced control mechanisms","authors":"Debabrata Mazumdar,&nbsp;Pabitra K. Biswas,&nbsp;Chiranjit Sain,&nbsp;Furkan Ahmad,&nbsp;Luluwah Al-Fagih","doi":"10.1002/ese3.1888","DOIUrl":"https://doi.org/10.1002/ese3.1888","url":null,"abstract":"<p>A direct consequence of the rapid expansion of civilization and modernization trends is the escalation in global warming and the consequential climatic upheavals. The world has actively advocated the adoption of electric vehicles (EVs) as a response to the environmental challenges posed by vehicular emissions. It is evident that conventional fuel-based charging infrastructures are economically impractical and lack organizational cohesion in light of the proliferation of EVs. An EV charging station powered by renewable energy presents a promising opportunity for enhancing flexibility and control. It is imperative that EV charging stations be equipped with solar power and standby batteries (SBBs). Consequently, this article presents and evaluates a system that utilizes a proportional-integral-derivative controller, a neural network-equipped grid and a charging station utilizing a Dragon Fly Optimization Algorithm to generate power and a maximum power point tracking controller. To achieve optimal power management within the charging station, MATLAB/Simulink is used to implement and rigorously test the proposed system. It orchestrates the interaction between the solar panel, backup battery, grid and EVs. Compared to existing systems in the literature, the comprehensive system exhibits commendable efficiency. Due to the pivotal role played by grid integration and the SBB, the system can ensure a reliable power supply to the charging station under any weather conditions.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 10","pages":"4355-4370"},"PeriodicalIF":3.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1888","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel solar radiation forecasting model based on time series imaging and bidirectional long short-term memory network","authors":"Zhaoshuang He,&nbsp;Xue Zhang,&nbsp;Min Li,&nbsp;Shaoquan Wang,&nbsp;Gongwei Xiao","doi":"10.1002/ese3.1875","DOIUrl":"https://doi.org/10.1002/ese3.1875","url":null,"abstract":"<p>The instability of solar energy is the biggest challenge to its successful integration with modern power grids, and accurate prediction of long-term solar radiation can effectively solve this problem. In this study, we proposed a novel long-term solar radiation prediction model based on time series imaging and bidirectional long short-term memory network. First, inspired by the computer vision algorithm, the recursive graph algorithm is used to transform the one-dimensional time series into two-dimensional images, and then convolutional neural network is used to extract the features from the images, thus, the deeper features in the original solar radiation data can be mined. Second, to solve the problem of low accuracy of long-term solar radiation prediction, a hybrid model BiLSTM-Transformer is used to predict long-term solar radiation. The hybrid prediction model can capture the long-term dependencies, thereby further improving the accuracy of the prediction model. The experimental results show that the hybrid model proposed in this study is superior to other single models and hybrid models in long-term solar radiation prediction accuracy. The accuracy and stability of the hybrid model are verified by many tests.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 11","pages":"4876-4893"},"PeriodicalIF":3.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1875","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visual analysis of coal mine safety using CiteSpace V","authors":"Xuesen Zhang,&nbsp;Li Yang","doi":"10.1002/ese3.1889","DOIUrl":"https://doi.org/10.1002/ese3.1889","url":null,"abstract":"<p>To intuitively and systematically grasp the development status and trend of safety evaluation research in China's coal mining operations, we consulted relevant literature in the fields of “coal mine” and “safety evaluation” collected by China Knowledge Network, and deployed CiteSpace V software to summarize and analyze research pertaining to safety evaluation in China's coal mines from three aspects: research institutions, authors, and hot keywords. With respect to research institutions, the results show that although many researchers have conducted in-depth evaluations of coal mine safety, most of these studies were independent, and two-way information exchange and cooperation between research institutions remains scarce. With respect to authors, most cooperation between authors has been limited to team members, and relatively stable research teams have been formed. However, most of these research teams are independent. With respect to hot keywords, the trends of coal mine safety evaluation studies exhibit continuous change, with an overall increase in richness. According to the frequency burst times of important keywords, “entropy weight method” and “mining with pressure” are expected to remain important keywords in future evaluations of coal mine safety in China.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 10","pages":"4429-4440"},"PeriodicalIF":3.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1889","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying and mitigating energy losses in Tesla turbines: A study on CFD optimization","authors":"Yovany Galindo,&nbsp;José Núñez,&nbsp;Alberto Beltrán","doi":"10.1002/ese3.1863","DOIUrl":"https://doi.org/10.1002/ese3.1863","url":null,"abstract":"&lt;p&gt;This study investigates the flow dynamics and energy losses of Tesla turbines using Computational Fluid Dynamics with OpenFOAM. Our goal is to identify the main sources of energy loss. Four main sources of energy loss were identified. The most significant loss occurred during the conversion of pressure energy to kinetic energy, estimated to range from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 \u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;88&lt;/mn&gt;\u0000 \u0000 &lt;mo&gt;%&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; &lt;math altimg=\"urn:x-wiley:20500505:media:ese31863:ese31863-math-0001\" wiley:location=\"equation/ese31863-math-0001.png\" display=\"inline\" xmlns=\"http://www.w3.org/1998/Math/MathML\"&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mn&gt;88&lt;/mn&gt;&lt;mo&gt;%&lt;/mo&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; to &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 \u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;64&lt;/mn&gt;\u0000 \u0000 &lt;mo&gt;%&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; &lt;math altimg=\"urn:x-wiley:20500505:media:ese31863:ese31863-math-0002\" wiley:location=\"equation/ese31863-math-0002.png\" display=\"inline\" xmlns=\"http://www.w3.org/1998/Math/MathML\"&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mn&gt;64&lt;/mn&gt;&lt;mo&gt;%&lt;/mo&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; of the total energy. Energy losses due to leaks between the rotor and the casing were also quantified, ranging from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 \u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;4.97&lt;/mn&gt;\u0000 \u0000 &lt;mo&gt;%&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; &lt;math altimg=\"urn:x-wiley:20500505:media:ese31863:ese31863-math-0003\" wiley:location=\"equation/ese31863-math-0003.png\" display=\"inline\" xmlns=\"http://www.w3.org/1998/Math/MathML\"&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mn&gt;4.97&lt;/mn&gt;&lt;mo&gt;%&lt;/mo&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; to &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 \u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;7.95&lt;/mn&gt;\u0000 \u0000 &lt;mo&gt;%&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; &lt;math altimg=\"urn:x-wiley:20500505:media:ese31863:ese31863-math-0004\" wiley:location=\"equation/ese31863-math-0004.png\" display=\"inline\" xmlns=\"http://www.w3.org/1998/Math/MathML\"&gt;&lt;mrow&gt;&lt;mrow&gt;&lt;mn&gt;7.95&lt;/mn&gt;&lt;mo&gt;%&lt;/mo&gt;&lt;/mrow&gt;&lt;","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 10","pages":"4090-4100"},"PeriodicalIF":3.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1863","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Total electricity generation dynamics analysis and renewable energy impacts in South Africa","authors":"Ntumba Marc-Alain Mutombo,&nbsp;Bubele Papy Numbi,&nbsp;Tahar Tafticht","doi":"10.1002/ese3.1906","DOIUrl":"10.1002/ese3.1906","url":null,"abstract":"<p>This research explores the dynamics of total electricity generation (TEG) in South Africa through an analysis of data from the International Energy Agency database from 1990 to 2020. A comprehensive examination of various energy sources, including coal, oil, biofuels, nuclear, hydro, solar photovoltaic (PV), solar thermal, and wind, is conducted to ascertain their respective contributions to TEG. Employing the R software environment, the study employs a methodical analytical framework encompassing meticulous data preparation, statistical analysis, and model formulation. The data preparation phase involves intricate processes such as structuring, cleansing, and visualization aimed at eliminating stochastic variables and outliers. Missing data are addressed through the application of the Piecewise Cubic Hermite Interpolating Polynomial method. Subsequent statistical analyses are informed by tests for normality and homogeneity of variance, revealing deviations from normality and disparate variances across energy source groups. Consequently, non-parametric methodologies such as the Kruskal–Wallis test are adopted. Findings underscore the significant role of nuclear energy in TEG despite facing challenges. Model development entails the construction of multiple linear regression models with varying predictor sizes, with Model m06 emerging as the optimal choice, incorporating key predictors such as coal, nuclear, and solar PV. Rigorous diagnostic assessments confirm the robustness of Model m06 and its suitability for TEG prediction. Comparative analysis against actual data validates its superior performance, characterized by minimal errors and high predictive accuracy. The efficacy of Model m06 in capturing TEG dynamics underscores its utility for informing energy planning initiatives. Recommendations derived from the study advocate for prioritizing renewable energy integration, infrastructure investment, research endeavors, monitoring mechanisms, and public awareness campaigns to advance sustainable energy development goals in South Africa.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 10","pages":"4010-4026"},"PeriodicalIF":3.5,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1906","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive case study on the technical feasibility of Green hydrogen production from photovoltaic and battery energy storage systems","authors":"Gessica N. S. Oliveira,&nbsp;Tatiane Costa,&nbsp;Mohamed A. Mohamed,&nbsp;Adrian Ilinca,&nbsp;Manoel H. N. Marinho","doi":"10.1002/ese3.1905","DOIUrl":"https://doi.org/10.1002/ese3.1905","url":null,"abstract":"<p>The growing demand for alternative energy sources to alleviate environmental impacts highlights the need to move from fossil fuels to renewable energy. This study demonstrated the technical feasibility of using a solar photovoltaic (PV) system for the production of green hydrogen. This research examined electrical and power data from a PV plant in Irecê, Bahia, using open data sources to provide insights into the production of green hydrogen from renewable sources. The system mainly depends on the use of a renewable source, PV solar energy, integrated with batteries, electrolyzers, and hydrogen tanks. Electrolyzer, battery, and hydrogen tank sizing analysis for optimal hydrogen production was effectively conducted using HOMER Energy software. The predicted system topology prioritizes a local DC network, optimizing efficiency for electrolyzers that have inherently low efficiency. The electrolyzer simulation involves initial Python-based sizing and comprehensive sizing with HOMER Energy software, ensuring accuracy within a 10% discrepancy limit. This highlights the importance of analytical calculations and optimization software for sizing more complex systems.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"12 10","pages":"4549-4565"},"PeriodicalIF":3.5,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1905","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}