Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method
Author
Abstract
Suggested Citation
DOI: 10.1016/j.energy.2020.118413
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
- Aaswath P. Raman & Marc Abou Anoma & Linxiao Zhu & Eden Rephaeli & Shanhui Fan, 2014. "Passive radiative cooling below ambient air temperature under direct sunlight," Nature, Nature, vol. 515(7528), pages 540-544, November.
- Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Wang, Yingzi & Meng, Fangfang & Xie, Lei, 2016. "Modeling of the surface temperature field of a thermoelectric radiant ceiling panel system," Applied Energy, Elsevier, vol. 162(C), pages 675-686.
- Wang, Zhe & Hong, Tianzhen & Piette, Mary Ann, 2020. "Building thermal load prediction through shallow machine learning and deep learning," Applied Energy, Elsevier, vol. 263(C).
- Joe, Jaewan & Karava, Panagiota, 2019. "A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings," Applied Energy, Elsevier, vol. 245(C), pages 65-77.
- Wang, Zhe & Hong, Tianzhen, 2020. "Reinforcement learning for building controls: The opportunities and challenges," Applied Energy, Elsevier, vol. 269(C).
- Pourkiaei, Seyed Mohsen & Ahmadi, Mohammad Hossein & Sadeghzadeh, Milad & Moosavi, Soroush & Pourfayaz, Fathollah & Chen, Lingen & Pour Yazdi, Mohammad Arab & Kumar, Ravinder, 2019. "Thermoelectric cooler and thermoelectric generator devices: A review of present and potential applications, modeling and materials," Energy, Elsevier, vol. 186(C).
- Guo, Yabin & Wang, Jiangyu & Chen, Huanxin & Li, Guannan & Liu, Jiangyan & Xu, Chengliang & Huang, Ronggeng & Huang, Yao, 2018. "Machine learning-based thermal response time ahead energy demand prediction for building heating systems," Applied Energy, Elsevier, vol. 221(C), pages 16-27.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Su, Xiaosong & Zhang, Ling & Liu, Zhongbing & Luo, Yongqiang & Chen, Dapeng & Li, Weijiao, 2021. "Performance evaluation of a novel building envelope integrated with thermoelectric cooler and radiative sky cooler," Renewable Energy, Elsevier, vol. 171(C), pages 1061-1078.
- Alimohammadian, Mehdi & Dinarvand, Saeed & Mahian, Omid, 2022. "Innovative strategy of passive sub-ambient radiative cooler through incorporation of a thermal rectifier to double-layer nanoparticle-based coating," Energy, Elsevier, vol. 247(C).
- Zhong, Wei & Huang, Wei & Lin, Xiaojie & Li, Zhongbo & Zhou, Yi, 2020. "Research on data-driven identification and prediction of heat response time of urban centralized heating system," Energy, Elsevier, vol. 212(C).
- Mohadeseh Seyednezhad & Hamidreza Najafi, 2021. "Solar-Powered Thermoelectric-Based Cooling and Heating System for Building Applications: A Parametric Study," Energies, MDPI, vol. 14(17), pages 1-17, September.
- Liao, Wei & Luo, Yimo & Peng, Jinqing & Wang, Dengjia & Yuan, Chenzhang & Yin, Rongxin & Li, Nianping, 2022. "Experimental study on energy consumption and thermal environment of radiant ceiling heating system for different types of rooms," Energy, Elsevier, vol. 244(PA).
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.- Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.
- Connor Scott & Mominul Ahsan & Alhussein Albarbar, 2021. "Machine Learning Based Vehicle to Grid Strategy for Improving the Energy Performance of Public Buildings," Sustainability, MDPI, vol. 13(7), pages 1-22, April.
- Zhang, Anxun & Yuan, Song & Du, Yike & Dou, Wenhao & Cai, Wenshan & Zhang, Fan & Zhu, Jiliang & Ye, Zhicheng, 2024. "A flat radiative cooling thermoelectric generator for high performance power generation," Energy, Elsevier, vol. 290(C).
- Sun, Fangyuan & Kong, Xiangyu & Wu, Jianzhong & Gao, Bixuan & Chen, Ke & Lu, Ning, 2022. "DSM pricing method based on A3C and LSTM under cloud-edge environment," Applied Energy, Elsevier, vol. 315(C).
- Yuwen You & Zhonghua Wang & Zhihao Liu & Chunmei Guo & Bin Yang, 2024. "Load Prediction of Regional Heat Exchange Station Based on Fuzzy Clustering Based on Fourier Distance and Convolutional Neural Network–Bidirectional Long Short-Term Memory Network," Energies, MDPI, vol. 17(16), pages 1-19, August.
- Su, Xiaosong & Zhang, Ling & Liu, Zhongbing & Luo, Yongqiang & Chen, Dapeng & Li, Weijiao, 2021. "Performance evaluation of a novel building envelope integrated with thermoelectric cooler and radiative sky cooler," Renewable Energy, Elsevier, vol. 171(C), pages 1061-1078.
- Liu, Xiaoqi & Lee, Seungjae & Bilionis, Ilias & Karava, Panagiota & Joe, Jaewan & Sadeghi, Seyed Amir, 2021. "A user-interactive system for smart thermal environment control in office buildings," Applied Energy, Elsevier, vol. 298(C).
- Amal A. Al-Shargabi & Abdulbasit Almhafdy & Dina M. Ibrahim & Manal Alghieth & Francisco Chiclana, 2021. "Tuning Deep Neural Networks for Predicting Energy Consumption in Arid Climate Based on Buildings Characteristics," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
- Marco Noro & Simone Mancin & Roger Riehl, 2021. "Energy and Economic Sustainability of a Trigeneration Solar System Using Radiative Cooling in Mediterranean Climate," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
- Gokhale, Gargya & Claessens, Bert & Develder, Chris, 2022. "Physics informed neural networks for control oriented thermal modeling of buildings," Applied Energy, Elsevier, vol. 314(C).
- Lu, Yakai & Tian, Zhe & Zhou, Ruoyu & Liu, Wenjing, 2021. "A general transfer learning-based framework for thermal load prediction in regional energy system," Energy, Elsevier, vol. 217(C).
- Fatih Selimefendigil & Hakan F. Oztop & Mikhail A. Sheremet, 2021. "Thermoelectric Generation with Impinging Nano-Jets," Energies, MDPI, vol. 14(2), pages 1-24, January.
- Davide Coraci & Silvio Brandi & Marco Savino Piscitelli & Alfonso Capozzoli, 2021. "Online Implementation of a Soft Actor-Critic Agent to Enhance Indoor Temperature Control and Energy Efficiency in Buildings," Energies, MDPI, vol. 14(4), pages 1-26, February.
- Langer, Lissy & Volling, Thomas, 2022. "A reinforcement learning approach to home energy management for modulating heat pumps and photovoltaic systems," Applied Energy, Elsevier, vol. 327(C).
- Duan, Mengfan & Sun, Hongli & Lin, Borong & Wu, Yifan, 2021. "Evaluation on the applicability of thermoelectric air cooling systems for buildings with thermoelectric material optimization," Energy, Elsevier, vol. 221(C).
- Tso, C.Y. & Chan, K.C. & Chao, Christopher Y.H., 2017. "A field investigation of passive radiative cooling under Hong Kong’s climate," Renewable Energy, Elsevier, vol. 106(C), pages 52-61.
- Gautham Krishnadas & Aristides Kiprakis, 2020. "A Machine Learning Pipeline for Demand Response Capacity Scheduling," Energies, MDPI, vol. 13(7), pages 1-25, April.
- Wei, Ziqing & Zhang, Tingwei & Yue, Bao & Ding, Yunxiao & Xiao, Ran & Wang, Ruzhu & Zhai, Xiaoqiang, 2021. "Prediction of residential district heating load based on machine learning: A case study," Energy, Elsevier, vol. 231(C).
- Li, Yanxue & Wang, Zixuan & Xu, Wenya & Gao, Weijun & Xu, Yang & Xiao, Fu, 2023. "Modeling and energy dynamic control for a ZEH via hybrid model-based deep reinforcement learning," Energy, Elsevier, vol. 277(C).
- Eşlik, Ardan Hüseyin & Akarslan, Emre & Hocaoğlu, Fatih Onur, 2022. "Short-term solar radiation forecasting with a novel image processing-based deep learning approach," Renewable Energy, Elsevier, vol. 200(C), pages 1490-1505.
More about this item
Keywords
Thermoelectric cooling; Radiant ceiling panel; Matrix modeling; Dynamic response; Machine learning method;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:energy:v:208:y:2020:i:c:s0360544220315206. 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/energy .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.