Renewable and Sustainable Energy Reviews最新文献_第4页

Innovative nanobubble technology: Fuelling the future of bioenergy and carbon mitigation 创新纳米气泡技术：为未来的生物能源和碳减排提供动力

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-19 DOI: 10.1016/j.rser.2024.115118

Preeti Pal , Arata Kioka , Sandhya Maurya , Ruey-An Doong

{"title":"Innovative nanobubble technology: Fuelling the future of bioenergy and carbon mitigation","authors":"Preeti Pal , Arata Kioka , Sandhya Maurya , Ruey-An Doong","doi":"10.1016/j.rser.2024.115118","DOIUrl":"10.1016/j.rser.2024.115118","url":null,"abstract":"<div><div>The world is affected by the increasing impact of climate change due to high levels of carbon di oxide (CO<sub>2</sub>) in the atmosphere. Several initiatives are taken by industries, academicians, and government bodies to deal with this problem and to promote CO<sub>2</sub> sequestration and the reduction of consumption of fossil fuels. One of the primary solutions is the production of synthetic fuels independent of non-renewable sources. While current natural and human-induced CO<sub>2</sub> sinks have been beneficial, the scientific community is moving to algal production for CO<sub>2</sub> sequestration, which may help achieve our targets of carbon sequestration as well as biofuel production. Introducing nanobubbles to the aqueous medium is one of the technologies which more efficiently dissolve gases in aqueous medium. This work emphasizes the significance of nanobubble technology (NBT) for improving the yield of biomass by utilizing the flue gases in the form of nanobubble (<200 nm). NBT helps in dissolving high amount of CO<sub>2</sub> at much lower operating pressure and 10 times or even shorter time in comparison to spargers. Hence, such methods offer the opportunity to produce valuable products at low cost that can support a sustainable circular bioeconomy. This study proposes the conceptual model for CO<sub>2</sub> bio-sequestration, the production of biobased products, and wastewater treatment integrating with NBT to maximize the benefits with a sustainable approach. The implementation of this biorefinery model could be a significant step towards surmounting the challenges of current sequestration methods and restoring the carbon balance, which would foster a sustainable future.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115118"},"PeriodicalIF":16.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introducing an integrated self-organizing map and radial basis function network for accurate prediction of water- Fe3O4 nanofluid viscosity versus solid volume fraction and temperature 引入集成自组织图和径向基函数网络，准确预测水-Fe3O4 纳米流体粘度与固体体积分数和温度的关系

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-19 DOI: 10.1016/j.rser.2024.115119

Lei Chang , Wenqing Yang , Mohamad Khaje Khabaz , S. Ali Eftekhari , Tamim Alkhalifah , Yasmin Khairy

{"title":"Introducing an integrated self-organizing map and radial basis function network for accurate prediction of water- Fe3O4 nanofluid viscosity versus solid volume fraction and temperature","authors":"Lei Chang , Wenqing Yang , Mohamad Khaje Khabaz , S. Ali Eftekhari , Tamim Alkhalifah , Yasmin Khairy","doi":"10.1016/j.rser.2024.115119","DOIUrl":"10.1016/j.rser.2024.115119","url":null,"abstract":"<div><div>Nanofluids, colloidal suspensions of nanoparticles in base fluids, promise improved thermal conductivity and energy efficiency. Predicting nanofluid viscosity, influenced by factors like temperature and nanoparticle concentration, is crucial for optimizing performance. This research introduces an innovative approach combining Self-Organizing Map (SOM) and Radial Basis Function (RBF) networks to accurately predict viscosity. The SOM guides RBF center placement for enhanced accuracy, validated with water-Fe<sub>3</sub>O<sub>4</sub> nanofluid data. Temperature significantly affects viscosity, with adjustments from 10 to 50 °C showing viscosity decreases from around 5 to lower than 2 mPa.s. The integrated SOM-RBF model achieves high precision (max absolute error 0.1078 mPa.s, 4 % relative error), suggesting potential for further enhancement. This novel neural network combination enhances efficiency in nanofluid applications, advancing predictive modeling in nanofluid engineering for broader industrial and scientific innovation.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115119"},"PeriodicalIF":16.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Limitations of using LCOE as economic indicator for solar power plants 使用 LCOE 作为太阳能发电厂经济指标的局限性

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-19 DOI: 10.1016/j.rser.2024.115087

Giampaolo Manzolini , Giancarlo Gentile , Lorenzo Pilotti , Emanuele Martelli , Giovanni Picotti , Marco Binotti , Michael E. Cholette

{"title":"Limitations of using LCOE as economic indicator for solar power plants","authors":"Giampaolo Manzolini , Giancarlo Gentile , Lorenzo Pilotti , Emanuele Martelli , Giovanni Picotti , Marco Binotti , Michael E. Cholette","doi":"10.1016/j.rser.2024.115087","DOIUrl":"10.1016/j.rser.2024.115087","url":null,"abstract":"<div><div>With the increasing penetration of renewable energy, the importance of power plant dispatchability has become more relevant; an aspect that is not accounted in the Levelized Cost of Electricity (LCOE) parameter. This paper presents a mathematical model to optimize solar plant design based on optimized dispatching strategies considering real grid demand and prices. To demonstrate that the LCOE is not the correct optimization parameter of Photovoltaic and Concentrated Solar Power technologies, the application of the new approach is performed considering their installation in South Australia and Southern California. Sixteen different cases are proposed to assess the importance of the boundary conditions (location with corresponding electricity load curve, cost of the technology and possibility to purchase electricity from the grid) on the plant design.</div><div>Results show that the optimal plant design significantly differs when considering the actual prices with respect to the common LCOE approach. The LCOE approach does not lead to any storage installation in PV plants and operates CSP plant around the clock. The optimized design based on the grid needs generates the electricity when the prices are high by introducing the storage in the PV and reducing the solar field area as well as the thermal storage size. Overall, the Net Present Value and the IRR can be increased by 10 times and 70 %, respectively, by adopting optimized design with respect to the one achieved with the typical LCOE approach.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115087"},"PeriodicalIF":16.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced bio-oil production from biomass catalytic pyrolysis using machine learning 利用机器学习提高生物质催化热解的生物油产量

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-18 DOI: 10.1016/j.rser.2024.115099

Xiangmeng Chen , Alireza Shafizadeh , Hossein Shahbeik , Mohammad Hossein Nadian , Milad Golvirdizadeh , Wanxi Peng , Su Shiung Lam , Meisam Tabatabaei , Mortaza Aghbashlo

{"title":"Enhanced bio-oil production from biomass catalytic pyrolysis using machine learning","authors":"Xiangmeng Chen , Alireza Shafizadeh , Hossein Shahbeik , Mohammad Hossein Nadian , Milad Golvirdizadeh , Wanxi Peng , Su Shiung Lam , Meisam Tabatabaei , Mortaza Aghbashlo","doi":"10.1016/j.rser.2024.115099","DOIUrl":"10.1016/j.rser.2024.115099","url":null,"abstract":"<div><div>This study leverages machine learning technology, coupled with an evolutionary algorithm, to forecast and optimize the distribution and composition of products from <em>in-situ</em> biomass catalytic pyrolysis. Among the four machine learning models employed, the ensemble learning model emerged as the frontrunner, demonstrating superior prediction performance (R<sup>2</sup> > 0.89, RMSE <0.03, and MAE <0.01) compared to generalized additive, support vector regressor, and artificial neural network models. Multi-objective optimization results favored catalyst-to-biomass ratios near unity for bio-oil production, with optimal catalyst acid site content ranging from 0.04 to 2.49 mmol/g for various bio-oil applications. For energy applications, the optimal parameters yielded a bio-oil with 63.36 wt% hydrocarbon content and a bio-oil yield of 41.49 wt%. For chemical applications, the optimized parameters resulted in a bio-oil with 60.63 wt% phenolic content and a bio-oil yield of 48.93 wt%. For pharmaceutical applications, the bio-oil contained 10.42 wt% aldehydes and 21.49 wt% ketones, with a bio-oil yield of 36.56 wt%. Feature importance analysis revealed that biomass properties and catalyst characteristics could significantly influence process modeling, accounting for 61.3 % and 24.7 % of the impact on bio-oil yield, respectively, while operating conditions showed the slightest effect. These findings provide valuable insights for future experimental studies, enabling the optimization of <em>in-situ</em> biomass catalytic pyrolysis for energy, chemical, and pharmaceutical applications. Moreover, the feature importance analysis enhances understanding of the complex <em>in-situ</em> catalytic pyrolysis process, guiding the design of more efficient pyrolysis reactors and contributing to sustainable biofuel and biochemical production technologies.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115099"},"PeriodicalIF":16.3,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The definition of entropy production metric with application in passivity-based control of thermodynamic systems 熵产生度量的定义及其在基于被动性的热力学系统控制中的应用

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-18 DOI: 10.1016/j.rser.2024.115065

Zhe Dong, Junyi Li, Zuoyi Zhang, Yujie Dong, Xiaojin Huang

{"title":"The definition of entropy production metric with application in passivity-based control of thermodynamic systems","authors":"Zhe Dong, Junyi Li, Zuoyi Zhang, Yujie Dong, Xiaojin Huang","doi":"10.1016/j.rser.2024.115065","DOIUrl":"10.1016/j.rser.2024.115065","url":null,"abstract":"<div><div>Thermodynamic system dynamics exhibit strong nonlinearity and high uncertainty. If a simple control law can effectively regulate the thermodynamic systems, it will substantially reduce the complexity of engineering implementation, commissioning, and maintenance. While passivity-based control has been successfully applied to mechanical, electrical, and electromagnetic systems using energy as a storage function, thermodynamic systems require a different approach due to the non-convex characteristics of their internal energy function. This research defines the entropy production metric and proposes the port-Hamilton realization of the thermodynamic system dynamics. By using the second-order difference of entropy production metric as the storage function, the extended-state passivity-based control is proposed. The control leverages the principle of irreversible thermodynamics that entropy production reaches a minimum at the steady state, ensuring the asymptotic stability of the closed-loop system. The method is applied to design the power-level control law of high-temperature gas-cooled reactors, providing a new perspective on managing thermodynamic system dynamics. Furthermore, the research reveals the impact of control gain on control performance, offering insights for control strategy optimization.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115065"},"PeriodicalIF":16.3,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unveiling benefits: A framework for analyzing small hydropower refurbishment activities 揭示效益：分析小水电整修活动的框架

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-16 DOI: 10.1016/j.rser.2024.115117

Jiawen Li , Guiliang Tian , Zheng Wu , Yutong Jin , Tiantao Zhou

{"title":"Unveiling benefits: A framework for analyzing small hydropower refurbishment activities","authors":"Jiawen Li , Guiliang Tian , Zheng Wu , Yutong Jin , Tiantao Zhou","doi":"10.1016/j.rser.2024.115117","DOIUrl":"10.1016/j.rser.2024.115117","url":null,"abstract":"<div><div>Small hydropower is a crucial renewable energy source in China and plays a significant role in achieving social, economic, and ecological sustainable development goals. However, rapid Small hydropower development has led to various issues, resulting in closure or dismantling of many Small hydropower plants. To maximize the positive impact of Small hydropowers, green transformation and Small hydropower plant upgrades are urgently required. Hence, Small hydropower refurbishment activities are performed to enhance overall benefits. Therefore, this study integrated grounded theory, a qualitative research method, with a comprehensive decision-making trial and evaluation laboratory-fuzzy analytic hierarchy process evaluation model. This formed a new framework to analyse refurbishment activities and was applied in Tangban and Maoyandong plants. Small hydropower refurbishment activity benefits were categorized as internal (direct economic and indirect production benefits) and external (social and ecological benefits), with interconnections and trade-offs. The most critical factors influencing benefits were internal factors, whereas social benefits had a greater influence on external factors. The refurbishment activities at Tangban and Maoyandong were rated high and moderate, respectively, owing to differences in corporate nature, location, and primary business focus. This study not only provides a theoretical model for China’s Small hydropower to achieve the United Nations Sustainable Development Goals under the premise of sustainable operations, but also offers a new global framework for evaluation and decision-making in Small hydropower plants.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115117"},"PeriodicalIF":16.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An efficient uncertainty analysis of performance of hydrogen storage systems 储氢系统性能的高效不确定性分析

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-16 DOI: 10.1016/j.rser.2024.115107

Saurabh Tiwari , Akshay Kumar , Gaurav Tiwari , Pratibha Sharma

{"title":"An efficient uncertainty analysis of performance of hydrogen storage systems","authors":"Saurabh Tiwari , Akshay Kumar , Gaurav Tiwari , Pratibha Sharma","doi":"10.1016/j.rser.2024.115107","DOIUrl":"10.1016/j.rser.2024.115107","url":null,"abstract":"<div><div>The metal hydride hydrogen storage systems are gaining popularity due to their high volumetric capacity, safety and stability. The designing of these systems is complex due to many reasons, including input uncertainties. The performances of these systems are often evaluated in deterministic framework, ignoring uncertainties. This includes over-conservative safety factors in the design process increasing time and costs involved in designs. The uncertainty analysis could be a better alternative to assess system performance under such scenarios. This study investigates– i) the effect of input uncertainties on uncertainties of multiple and implicit system outputs, i.e., reaction fraction and bed temperature, ii) application of response surface and Borgonovo’s global sensitivity analysis for efficient analysis, and iii) a comparative assessment between different uncertainty methods. The methodology is demonstrated for a space heating system. Initially, a surrogate relationship is constructed between inputs-outputs using moving least square response surface, based on known input-output data estimated using COMSOL for random input realizations. Next, the sensitive inputs were identified using Monte-Carlo simulations based Borgonovo’s analysis. Finally, the effect of uncertainties of sensitive inputs on outputs were estimated using different uncertainty methods. Harr’s and Hong’s (2n) point estimate methods were observed to be highly accurate, mathematically simpler and efficient, as compared to other methods. The uncertainties of outputs were directly dependent on uncertainties of sensitive inputs. The probabilistic safety measure, reliability index, estimated using output statistics was of significant practical utility for industries to avoid deterministic safety factors based over-conservative and costly designs of storage systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115107"},"PeriodicalIF":16.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Economic and environmentally efficient biochar production via microwave-assisted co-torrefaction of fruit residue and waste oil 通过微波辅助果渣和废油联合热解生产经济环保的生物炭

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-16 DOI: 10.1016/j.rser.2024.115100

Yi Li Lin , Nai Yun Zheng , Wei Hsiu Lin , Chao Chin Chang

{"title":"Economic and environmentally efficient biochar production via microwave-assisted co-torrefaction of fruit residue and waste oil","authors":"Yi Li Lin , Nai Yun Zheng , Wei Hsiu Lin , Chao Chin Chang","doi":"10.1016/j.rser.2024.115100","DOIUrl":"10.1016/j.rser.2024.115100","url":null,"abstract":"<div><div>Addressing climate change and reducing greenhouse gas (GHG) emissions are critical global challenges. This study introduces a novel, cost-effective method to produce high-energy biochar with minimal GHG emissions through a microwave-assisted (MWA) co-torrefaction process. This groundbreaking process not only produces decarbonized solid fuel but also simultaneously reduces waste by utilizing fruit residues and waste cooking oil (WCO). Through the application of the Taguchi experimental method, this research identified torrefaction temperature and the WCO blending ratio as key determinant of the biochar higher heating value (HHV). Notably, <em>Dimocarpus longan</em> waste (DLw) outperformed <em>Citrus maxima</em> branches (CMb) in co-torrefaction, achieving a maximum HHV of 25 MJ/kg, a superior energy yield of 85%, and a fixed carbon content of 28%. Both types of biochar showed increased thermal stability under optimal conditions, meeting the specifications of bituminous coal and offering a viable alternative for coal combustion. The biochar produced from both CMb and DLw demonstrated good energy return on investment (EROI) values of 4–5 and reduced CO<sub>2</sub> emissions by 58%–69% compared to burning bituminous coal alone. Remarkably, the cost of implementing this innovative technology at a pilot scale was 76% lower than that traditional biowaste treatment methods. In conclusion, the pioneering MWA co-torrefaction technology presented in this study offers an environmentally friendly, economically advantageous, and highly practical solution for converting biowaste into renewable fuel, aligning with the Sustainable Development Goals (SDGs), particularly Goal 7: Affordable and Clean Energy, and Goal 13: Climate Action.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115100"},"PeriodicalIF":16.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modified predicted mean vote models for human thermal comfort: An ASHRAE database-based evaluation 人体热舒适度的修正预测平均投票模型：基于 ASHRAE 数据库的评估

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-15 DOI: 10.1016/j.rser.2024.115042

Han Li, Haiyu Hu, Zhiyao Wu, Xiangfei Kong, Man Fan

{"title":"Modified predicted mean vote models for human thermal comfort: An ASHRAE database-based evaluation","authors":"Han Li, Haiyu Hu, Zhiyao Wu, Xiangfei Kong, Man Fan","doi":"10.1016/j.rser.2024.115042","DOIUrl":"10.1016/j.rser.2024.115042","url":null,"abstract":"<div><div>A comprehensive index that is straightforward to implement and reliable is essential for assessing and predicting human thermal comfort, integrating both energy efficiency and Indoor Environmental Quality (IEQ) considerations. The Predicted Mean Vote (PMV) and its associated correction models are extensively utilized to assess human thermal comfort, subsequently informing the design of indoor thermal environments. Hence, this study reviews the evolution of PMV models. Firstly, twenty PMV-modified models are summarized and categorized into four principal categories according to the correction methods. Secondly, the application of common modified models in engineering practice is listed and analyzed. Thirdly, a further evaluation of seven modified models has been conducted using ASHRAE Database I and II. The results demonstrate that PMV<sub>e</sub> and ePMV are suitable for evaluation in tropical and temperate regions and ePMV has the highest evaluation accuracy among all the discussed models. Finally, three extension directions of the PMV model are proposed to provide ideas for the subsequent revision. The outcomes of this study provide guidance for the appropriate selection and utilization of enhanced PMV models.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115042"},"PeriodicalIF":16.3,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An interdisciplinary literature review of floating solar power plants 浮动太阳能发电站跨学科文献综述

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2024-11-15 DOI: 10.1016/j.rser.2024.115094

Yujia Wei , Danial Khojasteh , Christian Windt , Luofeng Huang

{"title":"An interdisciplinary literature review of floating solar power plants","authors":"Yujia Wei , Danial Khojasteh , Christian Windt , Luofeng Huang","doi":"10.1016/j.rser.2024.115094","DOIUrl":"10.1016/j.rser.2024.115094","url":null,"abstract":"<div><div>Floating photovoltaic is predicted to be the most ubiquitous energy technology in the future, with global installations projected to reach 10 GW by 2030, potentially generating 13.5 TWh of clean electricity annually. The extrapolation of solar power plants from land-based to water-based requires interdisciplinary expertise from fields such as energy systems, hydrodynamics, structures, environments, and electrical engineering. To bridge the disciplines, the present review analyses existing floating solar related publications comprehensively. Initially, a comprehensive literature scan of over 900 publications is presented, selectively leading to approximately 400 papers included. Subsequently, three review sectors are presented: design, modelling, and environmental effects. These cover various structural components, system-air-water interactions, their modelling approaches, power output prediction, and potential impacts on the surrounding environment including vegetation and animals. Key findings suggest the potential for enhancing energy efficiency through water-based cooling techniques, innovative modularised designs to support upscaling, positive environmental impacts including artificial habitats, and the utilisation of advanced marine structure designs such as a breakwater to protect the solar systems from ocean wave loads. In addition, the levelised cost of electricity of various floating solar studies are presented, including both theoretical and practical projects. The levelised cost of electricity has been decreasing, to a level of 0.05–0.07 USD/kWh, making FPV increasingly competitive as a clean and affordable energy choice. Overall, this review aims to facillitate interdisciplinary research and projects on the booming floating photovoltaic industry.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"209 ","pages":"Article 115094"},"PeriodicalIF":16.3,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0