Renewables: wind, water, and solar最新文献

A model fitting approach for the investigation of thermo-kinetic parameters of rice straw: a viable renewable energy resources in Bangladesh 调查稻草热动力学参数的模型拟合方法：孟加拉国一种可行的可再生能源

Renewables: wind, water, and solar Pub Date : 2024-09-12 DOI: 10.1186/s40807-024-00126-y

Abu Md. Mehdi Hassan, Bushra Sharf, Md. Ripaj Uddin, Mohammad Nazim Zaman, Md. Nuruzzaman, Hassan Zeb, Farzana Yasmin, Mayeen Uddin Khandaker

{"title":"A model fitting approach for the investigation of thermo-kinetic parameters of rice straw: a viable renewable energy resources in Bangladesh","authors":"Abu Md. Mehdi Hassan, Bushra Sharf, Md. Ripaj Uddin, Mohammad Nazim Zaman, Md. Nuruzzaman, Hassan Zeb, Farzana Yasmin, Mayeen Uddin Khandaker","doi":"10.1186/s40807-024-00126-y","DOIUrl":"https://doi.org/10.1186/s40807-024-00126-y","url":null,"abstract":"This study investigates the potential of renewable energy sources to address the growing energy demands of developing nations while ensuring environmental sustainability. Here, a model-based analysis to assess the feasibility of utilizing rice straw pyrolysis as a renewable energy source is investigated. The thermogravimetric analysis identified the optimal temperature range for pyrolysis (230–400 °C) and the Coats–Redfern model was employed for kinetic analysis. Diffusion models, particularly D3, exhibited the best fit with an activation energy of 16–18 kJ/mol. Thermodynamic analysis confirmed the endothermic nature of the process, with positive enthalpy and negative entropy changes indicating an increase in energy and a more ordered product. These findings suggest that rice straw pyrolysis holds promise as a viable renewable energy option. This study contributes to understanding the rice straw pyrolysis mechanism which could be helpful for its effective utilization at commercial scale.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"126 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206757","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}

引用次数: 0

Vehicle-to-Grid: quantification of its contribution to security of supply through the F-Factor methodology 车辆转电网：通过 F 系数方法量化其对供应安全的贡献

Renewables: wind, water, and solar Pub Date : 2024-09-04 DOI: 10.1186/s40807-024-00125-z

Spyros Giannelos, Stefan Borozan, Goran Strbac, Tai Zhang, Wangwei Kong

引用次数: 0

Photogalvanics of the platinum working electrode in the Allura Red d-Galactose-didecyl dimethyl ammonium chloride-NaOH electrolyte 铂工作电极在 Allura Red d-半乳糖-十二烷基二甲基氯化铵-NaOH 电解液中的光电效应

Renewables: wind, water, and solar Pub Date : 2024-08-16 DOI: 10.1186/s40807-024-00123-1

Pooran Koli, Jyoti Saren

{"title":"Photogalvanics of the platinum working electrode in the Allura Red d-Galactose-didecyl dimethyl ammonium chloride-NaOH electrolyte","authors":"Pooran Koli, Jyoti Saren","doi":"10.1186/s40807-024-00123-1","DOIUrl":"https://doi.org/10.1186/s40807-024-00123-1","url":null,"abstract":"Photo-galvanic cell is a photochemical cell device whose performance depends on the combination of several factors like dye and reductant concentrations, dye stability, pH, light intensity, electrodes used, Pt electrode area, diffusion length, etc. An entirely new and unexplored combination of platinum with Allura Red photosensitizer, d-Galactose reductant, and didecyl dimethyl ammonium chloride (DDAC) surfactant has been explored in present research to upgrade the electrical performance of these cells. Allura Red is a water-soluble azo dye which shows good absorbance in region 501–507 nm. The Allura Red and DDAC is an anionic and cationic species, respectively, and therefore, the opposite charges of dye and surfactant molecules are expected to form a stable dye-surfactant complex enhancing the dye solubility and stability. d-Galactose has been used for its good reducing properties. This unexplored combination of Pt-Allura Red-d-Galactose-DDAC with these characteristics has encouraged further enhancement of the electrical output of the photogalvanic cells. The electrical output, stability, and spectral property of the photogalvanic cells have been studied in the present work. The observed power, current, potential, efficiency, and storage capacity (as half time) are of the order of 443.8 µW, 2400 µA, 721 mV, 11.61%, and 28 min, respectively. These observed results are higher than some reported data. In the spectral study, nearly the same band intensity of the pre-illuminated and post-illuminated electrolyte solution shows quite good photo-stability of the Allura Red dye in electrolyte form. This new combination of platinum-electrolyte still has the scope to achieve the enhanced cell performance of photogalvanic cells for future development.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206795","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}

引用次数: 0

Influence of post-thermal treatment on characteristics of polycrystalline hybrid halide perovskite nanoparticles thin film 后热处理对多晶混合卤化物过氧化物纳米粒子薄膜特性的影响

Renewables: wind, water, and solar Pub Date : 2024-08-16 DOI: 10.1186/s40807-024-00124-0

Simeon Amole, Oluwaseun Adedokun, Olusola Akinrinola, Olumuyiwa Aderemi Oyekanmi, Festus Akintunde Ojeniyi, Adekunle Kazeem Dauda, Ayodeji Oladiran Awodugba

{"title":"Influence of post-thermal treatment on characteristics of polycrystalline hybrid halide perovskite nanoparticles thin film","authors":"Simeon Amole, Oluwaseun Adedokun, Olusola Akinrinola, Olumuyiwa Aderemi Oyekanmi, Festus Akintunde Ojeniyi, Adekunle Kazeem Dauda, Ayodeji Oladiran Awodugba","doi":"10.1186/s40807-024-00124-0","DOIUrl":"https://doi.org/10.1186/s40807-024-00124-0","url":null,"abstract":"A three-dimensional organic–inorganic hybrid halide perovskite (CH3NH3PbI2Br) nanoparticle film was synthesized using solution process in one step. Precursors’ stoichiometry was used to prepare methylammonium bromide and lead (II) bromide in dimethyl formamide. The synthesized CH3NH3PbI2Br solution was spin coated on cleaned ITO prepatterned glass substrate at 2000 rpm. In addition, the influence of post-thermal treatment on the deposited nanoparticles films was evaluated by studying the structural, optical and morphological properties using X-ray Diffraction (XRD), Fourier Transform Infrared (FTIR) spectrometry, UV–visible spectrophotometry, Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM). The average crystallite sizes were calculated to be ~ 8.0, ~ 9.4, ~ 11.3 and ~ 13.1 nm of as-prepared and annealed films at 400, 500 and 600 °C, respectively. Besides, the bandgaps of 2.22 eV, 1.96 eV, 1.89 eV and 1.63 eV were extrapolated for as-prepared and annealed films at 400 °C, 500 °C and 600 °C, respectively. From J–V curves, the Jsc values of 9.4, 10.6, 11.7 and 12.8 mAcm−2, FF values of 56.99%, 57.25%, 58.94% and 59.26% and PCE values of 2.99%, 3.49%, 3.96% and 4.39% were calculated for as-prepared and annealed CH3NH3PbI2Br films at 400 °C, 500 °C and 600 °C, respectively. The percentage enhancement values of 14.32%, 24.49% and 31.89% compared to as-prepared CH3NH3PbI2Br film. Hence, post-thermal treatment of organic–inorganic halide perovskite material improved its photoconversion efficiency without sacrificing its dimensionality.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206760","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}

引用次数: 0

Heat recovery analysis of a fixed plate energy recovery ventilator 固定板式能量回收通风机的热回收分析

Renewables: wind, water, and solar Pub Date : 2024-08-07 DOI: 10.1186/s40807-024-00122-2

Adams Moro, Patricia Kwakye-Boateng

{"title":"Heat recovery analysis of a fixed plate energy recovery ventilator","authors":"Adams Moro, Patricia Kwakye-Boateng","doi":"10.1186/s40807-024-00122-2","DOIUrl":"https://doi.org/10.1186/s40807-024-00122-2","url":null,"abstract":"As building becomes more leak-tight, air refreshment to improve indoor air quality is needed for healthy living standards. In the quest to ensure comfortable indoor climatic conditions, energy recovery ventilators (ERV) are used to provide air refreshment and thermal comfort. In this study, a fixed plate air-to-air ERV was analysed to determine its effectivity in terms of energy recovery during air refreshment. A customized test bench was built and used to acquire the instantaneous surface temperatures of the heat exchanger plates contained in the ERV during air refreshment. Also, a numerical model of the ERV was developed and validated by comparing its output from simulation with experiment results under the same conditions. The model consisted of a single heat exchanger plate and the air across the plate surface. To capture the effect of heat transfer between the air and the heat exchanger plate in 3D, the model was discretized into numerous cells. From the experiment and simulation results, the air-to-air ERVs were more effective in recovering thermal energy at low flow velocity than at high flow velocity. At lower flow velocity, it will take a longer time duration before any significant impact is made on the thermal conditions of the building, comparatively. The prediction of the model was within acceptable margins and could be used to provide insight on the ERVs performance improvement.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944810","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}

引用次数: 0

Machine learning-based short-term solar power forecasting: a comparison between regression and classification approaches using extensive Australian dataset 基于机器学习的短期太阳能发电预测：利用大量澳大利亚数据集比较回归和分类方法

Renewables: wind, water, and solar Pub Date : 2024-08-04 DOI: 10.1186/s40807-024-00115-1

H. I. Aouidad, A. Bouhelal

{"title":"Machine learning-based short-term solar power forecasting: a comparison between regression and classification approaches using extensive Australian dataset","authors":"H. I. Aouidad, A. Bouhelal","doi":"10.1186/s40807-024-00115-1","DOIUrl":"https://doi.org/10.1186/s40807-024-00115-1","url":null,"abstract":"Solar energy production is an intermittent process that is affected by weather and climate conditions. This can lead to unstable and fluctuating electricity generation, which can cause financial losses and damage to the power grid. To better control power production, it is important to predict solar energy production. Big data and machine learning algorithms have yielded excellent results in this regard. This study compares the performance of two different machine learning approaches to solar energy production prediction: regression and classification. The regression approach predicts the actual power output, while the classification approach predicts whether the power output will be above or below a certain threshold. The study found that the random forest regressor algorithm performed the best in terms of accuracy, with mean absolute errors and root mean square errors of 0.046 and 0.11, respectively. However, it did not predict peak power values effectively, which can lead to higher errors. The long short-term memory algorithm performed better in classifying peak power values. The study concluded that classification models may be better at generalizing than regression models. This proposed approach is valuable for interpreting model performance and improving prediction accuracy.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141944808","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}

引用次数: 0

Environmental analysis and comparison of the conventional and fractal glass textured surface photovoltaic panels 传统和分形玻璃纹理表面光伏面板的环境分析与比较

Renewables: wind, water, and solar Pub Date : 2024-07-21 DOI: 10.1186/s40807-024-00121-3

Mersad Shoaei, Alireza Aslani, Rahim Zahedi

{"title":"Environmental analysis and comparison of the conventional and fractal glass textured surface photovoltaic panels","authors":"Mersad Shoaei, Alireza Aslani, Rahim Zahedi","doi":"10.1186/s40807-024-00121-3","DOIUrl":"https://doi.org/10.1186/s40807-024-00121-3","url":null,"abstract":"There are two major forms of solar energy that are typically utilized: photovoltaic and concentrated applications. The application of fractal glass texture to photovoltaic solar panels is a cutting-edge technique in the field of solar panels that generate electricity from exposure to light. When it comes to studying the environmental implications of a product during its development and commercialization, the life cycle assessment (LCA) approach is an excellent technique that can be utilized. The purpose of this study is to offer a thorough understanding of the product’s effects on the environment by taking into consideration a wide range of criteria, including environmental, economic, and other evaluations. Through the utilization of the life cycle assessment (LCA) methodology and the SimaPro software, this paper presents a comparative analysis of conventional solar panels and fractal glass texture panels. During the course of this research, 18 midpoint indicators and three endpoint indices were investigated. In addition, a sensitivity analysis has been carried out on the fractal property of the panel in order to evaluate the impact that it has on environmental impacts and damages. For the purpose of this study, three distinct levels of fractal coating were applied to the panel surface: one percent, three percent, and five percent. As a result of the data, it was determined that the “Photovoltaic cell single-Si wafer” and the “Transport, freight, sea, transoceanic tanker” had the most significant impact on the midpoint and endpoint indices for both panels, respectively. Furthermore, there is a direct association between the rise in fractal coating on panels and the reduction in environmental repercussions, approximately. This correlation exists because of several factors.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141742596","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}

引用次数: 0

Advancements in hybrid energy storage systems for enhancing renewable energy-to-grid integration 混合储能系统在加强可再生能源并网方面的进展

Renewables: wind, water, and solar Pub Date : 2024-07-20 DOI: 10.1186/s40807-024-00120-4

Adekanmi Miracle Adeyinka, Oladapo Christopher Esan, Ahmed Olanrewaju Ijaola, Peter Kayode Farayibi

{"title":"Advancements in hybrid energy storage systems for enhancing renewable energy-to-grid integration","authors":"Adekanmi Miracle Adeyinka, Oladapo Christopher Esan, Ahmed Olanrewaju Ijaola, Peter Kayode Farayibi","doi":"10.1186/s40807-024-00120-4","DOIUrl":"https://doi.org/10.1186/s40807-024-00120-4","url":null,"abstract":"The global energy sector is currently undergoing a transformative shift mainly driven by the ongoing and increasing demand for clean, sustainable, and reliable energy solutions. However, integrating renewable energy sources (RES), such as wind, solar, and hydropower, introduces major challenges due to the intermittent and variable nature of RES, affecting grid stability and reliability. Hybrid energy storage systems (HESS), which combine multiple energy storage devices (ESDs), present a promising solution by leveraging the complementary strengths of each technology involved. This comprehensive review examines recent advancements in grid-connected HESS, focusing on their components, design considerations, control strategies, and applications. It provides a detailed analysis of technological progress in various ESDs and the critical role of power conversion, control, energy management, and cooling systems in optimizing HESS performance. Highlighting case studies of some notable and successful HESS implementations across the globe, we illustrate practical applications and identify the benefits and challenges encountered. By addressing these challenges, HESS can significantly enhance the efficiency and reliability of RES, supporting the shift towards a sustainable and resilient energy infrastructure. The paper concludes by identifying future research directions, highlighting the development of intelligent control systems, sustainable materials, and efficient recycling processes to ensure the widespread adoption and long-term viability of HESS.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141746445","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}

引用次数: 0

Optimization of Eucalyptus essential oil extraction by applying response surface methodology in traditional distillation and its adaption to solar thermal process 在传统蒸馏法中应用响应面方法优化桉树精油萃取，并将其应用于太阳热能工艺

Renewables: wind, water, and solar Pub Date : 2024-07-09 DOI: 10.1186/s40807-024-00118-y

Kajal J. Sareriya, Piyush B. Vanzara, Subarna Maiti

{"title":"Optimization of Eucalyptus essential oil extraction by applying response surface methodology in traditional distillation and its adaption to solar thermal process","authors":"Kajal J. Sareriya, Piyush B. Vanzara, Subarna Maiti","doi":"10.1186/s40807-024-00118-y","DOIUrl":"https://doi.org/10.1186/s40807-024-00118-y","url":null,"abstract":"This work reports the utilization of solar thermal energy to generate Eucalyptus essential oil, reducing the dependence on conventional energy and minimizing the environmental impact. The study optimized oil extraction by traditional steam distillation using response surface methodology and applied the results to a Scheffler concentrator-driven solar steam distillation setup. The optimum factors included leaf size (0.02 m), extraction temperature (97.76 ℃), solid/solvent ratio (0.61), and extraction time (206 min), with temperature being crucial. The major oil components were 1–8 cineole (57.53–78.45%) and α-Pinene (15.27–27.83%). The outdoor experiments achieved an efficiency of 27% and produced 2 kg/h steam at an average solar insolation of 700 W/m2. Despite consistent processing temperatures favouring conventional steam distillation, the solar extraction process offers an eco-friendly alternative. In line with the sustainable development goals, this initiative is well-suited for sunny regions and small businesses targeting niche markets.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141574865","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}

引用次数: 0

Comparative study of machine learning algorithms for wind speed prediction in Dhaka, Bangladesh 孟加拉国达卡风速预测机器学习算法比较研究

Renewables: wind, water, and solar Pub Date : 2024-06-27 DOI: 10.1186/s40807-024-00109-z

Mohammad Liton Hossain, S. M. Nasif Shams, Saeed Mahmud Ullah

{"title":"Comparative study of machine learning algorithms for wind speed prediction in Dhaka, Bangladesh","authors":"Mohammad Liton Hossain, S. M. Nasif Shams, Saeed Mahmud Ullah","doi":"10.1186/s40807-024-00109-z","DOIUrl":"https://doi.org/10.1186/s40807-024-00109-z","url":null,"abstract":"This study evaluated the performance of multiple models that used machine learning to anticipate wind speed in the city of Dhaka. The NASA Power website provided the data set for this investigation. The models used for prediction included the decision tree regressor, support vector regressor, random forest, linear regression, neural network and polynomial regression. A hold-out check and k-fold cross-validation were used to assess how well these models performed. With the highest R2 scores and lowest RMSEs on both the validation and test sets, the results demonstrated that the polynomial regression model performed the best. With the lowest R2 scores and largest RMSEs on both sets, the decision tree model scored the poorest. High R2 scores and low RMSEs were achieved by the random forest model, which had comparable performance to the polynomial regression model but required a longer computation time. In addition, the neural network model demonstrated commendable predictive accuracy, yielding an R2 score of 0.67 and a low RMSE of 0.57. However, its application is contingent on the availability of substantial computational resources, given its extensive computation time of 457.93 s. The study concludes by highlighting the efficacy of the Polynomial Regression model as the optimal choice for wind speed prediction in Dhaka, offering a balance between superior performance and efficient computation. This insight provides valuable guidance for practitioners and researchers seeking effective models for similar applications.","PeriodicalId":93049,"journal":{"name":"Renewables: wind, water, and solar","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502395","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}

引用次数: 0