Optimization of infrared emissivity design for radiative cooling windows using artificial neural networks: Considering the diversity of climate and building features
Author
Abstract
Suggested Citation
DOI: 10.1016/j.renene.2024.121027
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Bu, Fan & Yan, Da & Tan, Gang & Sun, Hongsan & An, Jingjing, 2023. "Acceleration algorithms for long-wavelength radiation integral in the annual simulation of radiative cooling in buildings," Renewable Energy, Elsevier, vol. 202(C), pages 255-269.
- Xie, Xing & Chen, Xing-ni & Xu, Bin & Pei, Gang, 2022. "Investigation of occupied/unoccupied period on thermal comfort in Guangzhou: Challenges and opportunities of public buildings with high window-wall ratio," Energy, Elsevier, vol. 244(PB).
- Chegari, Badr & Tabaa, Mohamed & Simeu, Emmanuel & Moutaouakkil, Fouad & Medromi, Hicham, 2022. "An optimal surrogate-model-based approach to support comfortable and nearly zero energy buildings design," Energy, Elsevier, vol. 248(C).
- Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2017. "Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach," Energy, Elsevier, vol. 118(C), pages 999-1017.
- Yan, Tian & Xu, Dawei & Meng, Jing & Xu, Xinhua & Yu, Zhongyi & Wu, Huijun, 2024. "A review of radiative sky cooling technology and its application in building systems," Renewable Energy, Elsevier, vol. 220(C).
- Zhao, Bin & Wang, Chuyao & Hu, Mingke & Ao, Xianze & Liu, Jie & Xuan, Qingdong & Pei, Gang, 2022. "Light and thermal management of the semi-transparent radiative cooling glass for buildings," Energy, Elsevier, vol. 238(PA).
- Brester, Christina & Kallio-Myers, Viivi & Lindfors, Anders V. & Kolehmainen, Mikko & Niska, Harri, 2023. "Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations," Renewable Energy, Elsevier, vol. 207(C), pages 266-274.
- Xu, Bin & Cheng, Yuan-xia & Chen, Xing-ni & Xie, Xing & Ji, Jie & Jiao, Dong-sheng, 2023. "Error correction method for heat flux and a new algorithm employed in inverting wall thermal resistance using an artificial neural network: Based on IN-SITU heat flux measurements," Energy, Elsevier, vol. 282(C).
- Zhang, Xueping & Han, Zongwei & Meng, Xinwei & Li, Gui & Ji, Qiang & Li, Xiuming & Yang, Lingyan, 2021. "Study on high-precision identification method of ground thermal properties based on neural network model," Renewable Energy, Elsevier, vol. 163(C), pages 1838-1848.
- Han, Yixiao & Liao, Yanfen & Ma, Xiaoqian & Guo, Xing & Li, Changxin & Liu, Xinyu, 2023. "Analysis and prediction of the penetration of renewable energy in power systems using artificial neural network," Renewable Energy, Elsevier, vol. 215(C).
- Li, Xue & Sun, Yanyi & Liu, Xiao & Ming, Yang & Wu, Yupeng, 2024. "Development of a comprehensive method to estimate the optical, thermal and electrical performance of a complex PV window for building integration," Energy, Elsevier, vol. 294(C).
- Zhao, Bin & Xuan, Qingdong & Xu, Chengfeng & Hu, Mingke & Dabwan, Yousef N. & Pei, Gang, 2023. "Considerations of passive radiative cooling," Renewable Energy, Elsevier, vol. 219(P2).
- Wang, Lu & Yuan, JianJuan & Qiao, Xu & Kong, Xiangfei, 2023. "Optimal rule based double predictive control for the management of thermal energy in a distributed clean heating system," Renewable Energy, Elsevier, vol. 215(C).
- Benedetti, Miriam & Cesarotti, Vittorio & Introna, Vito & Serranti, Jacopo, 2016. "Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study," Applied Energy, Elsevier, vol. 165(C), pages 60-71.
- Xu, Bin & Fei, Yue & Chen, Xing-ni & Xie, Xing & Pei, Gang, 2024. "Influence of selective infrared emissivity design on the radiative cooling effect of windows: Laws exploration based on transient analysis," Energy, Elsevier, vol. 289(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Fei, Yue & Xu, Bin & Chen, Xing-ni & Pei, Gang, 2024. "The role of emissivity of the window surface inside and outside the atmospheric window in the radiative cooling effect," Renewable Energy, Elsevier, vol. 226(C).
- Xu, Bin & Cheng, Yuan-xia & Chen, Xing-ni & Xie, Xing & Ji, Jie & Jiao, Dong-sheng, 2023. "Error correction method for heat flux and a new algorithm employed in inverting wall thermal resistance using an artificial neural network: Based on IN-SITU heat flux measurements," Energy, Elsevier, vol. 282(C).
- Abhinandana Boodi & Karim Beddiar & Malek Benamour & Yassine Amirat & Mohamed Benbouzid, 2018. "Intelligent Systems for Building Energy and Occupant Comfort Optimization: A State of the Art Review and Recommendations," Energies, MDPI, vol. 11(10), pages 1-26, September.
- Kapp, Sean & Choi, Jun-Ki & Hong, Taehoon, 2023. "Predicting industrial building energy consumption with statistical and machine-learning models informed by physical system parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
- Mahmoud Abdelkader Bashery Abbass & Mohamed Hamdy, 2021. "A Generic Pipeline for Machine Learning Users in Energy and Buildings Domain," Energies, MDPI, vol. 14(17), pages 1-30, August.
- Wang, Zeyu & Liu, Jian & Zhang, Yuanxin & Yuan, Hongping & Zhang, Ruixue & Srinivasan, Ravi S., 2021. "Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
- Xu, Bin & Fei, Yue & Chen, Xing-ni & Xie, Xing & Pei, Gang, 2024. "Influence of selective infrared emissivity design on the radiative cooling effect of windows: Laws exploration based on transient analysis," Energy, Elsevier, vol. 289(C).
- Xie, Xing & Xu, Bin & Fei, Yue & Chen, Xing-ni & Pei, Gang & Ji, Jie, 2024. "Passive energy-saving design strategy and realization on high window-wall ratio buildings in subtropical regions," Renewable Energy, Elsevier, vol. 229(C).
- Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
- Re Cecconi, F. & Moretti, N. & Tagliabue, L.C., 2019. "Application of artificial neutral network and geographic information system to evaluate retrofit potential in public school buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 266-277.
- Li, Shuangqi & He, Hongwen & Li, Jianwei, 2019. "Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology," Applied Energy, Elsevier, vol. 242(C), pages 1259-1273.
- Tao, Kejun & Zhao, Jinghao & Tao, Ye & Qi, Qingqing & Tian, Yajun, 2024. "Operational day-ahead photovoltaic power forecasting based on transformer variant," Applied Energy, Elsevier, vol. 373(C).
- Sun, Hongchang & Niu, Yanlei & Li, Chengdong & Zhou, Changgeng & Zhai, Wenwen & Chen, Zhe & Wu, Hao & Niu, Lanqiang, 2022. "Energy consumption optimization of building air conditioning system via combining the parallel temporal convolutional neural network and adaptive opposition-learning chimp algorithm," Energy, Elsevier, vol. 259(C).
- Reynolds, Jonathan & Rezgui, Yacine & Kwan, Alan & Piriou, Solène, 2018. "A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control," Energy, Elsevier, vol. 151(C), pages 729-739.
- He, Yue & Lei, Yue & Gao, Shan & Luo, Xuhui & Sun, Lixin & Feng, Chi, 2024. "How to rapidly and accurately evaluate the cooling performance of radiative cooling materials?," Renewable Energy, Elsevier, vol. 236(C).
- Zeng, Sheng & Su, Bin & Zhang, Minglong & Gao, Yuan & Liu, Jun & Luo, Song & Tao, Qingmei, 2021. "Analysis and forecast of China's energy consumption structure," Energy Policy, Elsevier, vol. 159(C).
- Qing Yin & Chunmiao Han & Ailin Li & Xiao Liu & Ying Liu, 2024. "A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks," Sustainability, MDPI, vol. 16(17), pages 1-30, September.
- Jesús Ferrero Bermejo & Juan Francisco Gómez Fernández & Rafael Pino & Adolfo Crespo Márquez & Antonio Jesús Guillén López, 2019. "Review and Comparison of Intelligent Optimization Modelling Techniques for Energy Forecasting and Condition-Based Maintenance in PV Plants," Energies, MDPI, vol. 12(21), pages 1-18, October.
- Wei, Yixuan & Xia, Liang & Pan, Song & Wu, Jinshun & Zhang, Xingxing & Han, Mengjie & Zhang, Weiya & Xie, Jingchao & Li, Qingping, 2019. "Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks," Applied Energy, Elsevier, vol. 240(C), pages 276-294.
- Martin Eriksson & Jan Akander & Bahram Moshfegh, 2022. "Investigating Energy Use in a City District in Nordic Climate Using Energy Signature," Energies, MDPI, vol. 15(5), pages 1-22, March.
More about this item
Keywords
Radiative cooling; Window emissivity; Artificial neural network; Broadband emitter; Selective emitter;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:231:y:2024:i:c:s0960148124010954. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.