IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v162y2016icp675-686.html
   My bibliography  Save this article

Modeling of the surface temperature field of a thermoelectric radiant ceiling panel system

Author

Listed:
  • Luo, Yongqiang
  • Zhang, Ling
  • Liu, Zhongbing
  • Wang, Yingzi
  • Meng, Fangfang
  • Xie, Lei

Abstract

Thermoelectric radiant ceiling panel system (TE-RCP) is a novel and promising system which combines the advantages of thermoelectric cooling/heating and conventional radiant ceiling panel system. The experimental investigations and case studies of TE-RCP have been carried out. But there is short of theoretical analysis and heat transfer model to provide a basis for the deeper and further investigation about TE-RCP. By solving the governing equation of the TE-RCP and using virtual heat source method to simulate the boundary conditions, the surface temperature field of TE-RCP under constant heat source intensity can be calculated. The dynamic-state model under variable heat source intensity is developed by adopting the idea of superposition principle and step load theory. The calculated temperature on the surface of radiant panel and hot/cold side of TE modules are in agreement with the experimental values. A system coefficient of performance (COP) is proposed based on the steady state model of TE-RCP to analyze the impact of working current of TE modules on the system performance. The simulations indicate that in cooling mode the system cooling capacity ranges between 48.6W/m2 and 104.1W/m2 and the corresponding system COP ranges between 1.06 and 2.29 under the working current from 1A to 2A. In heating mode, the system heating capacity ranges between 165.6W/m2 and 343W/m2 and the corresponding system COP ranges between 1.51 and 1.8 under the working current from 2A to 3A. This proposed model can provide a solid foundation for the further design, optimization, and system control of TE-RCP.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:675-686
    DOI: 10.1016/j.apenergy.2015.10.139
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915013811
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.10.139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
    2. Woradechjumroen, Denchai & Yu, Yuebin & Li, Haorong, 2016. "Virtual partition surface temperature sensor based on linear parametric model," Applied Energy, Elsevier, vol. 162(C), pages 1323-1335.
    3. Fonseca Diaz, Néstor, 2011. "Modeling of a hydronic ceiling system and its environment as energetic auditing tool," Applied Energy, Elsevier, vol. 88(3), pages 636-649, March.
    4. Bojić, Milorad & Cvetković, Dragan & Bojić, Ljubiša, 2015. "Decreasing energy use and influence to environment by radiant panel heating using different energy sources," Applied Energy, Elsevier, vol. 138(C), pages 404-413.
    5. Zhou, Guobing & He, Jing, 2015. "Thermal performance of a radiant floor heating system with different heat storage materials and heating pipes," Applied Energy, Elsevier, vol. 138(C), pages 648-660.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Wu, Jing & Zhang, Yelin & Wu, Zhenghong & He, Xihua, 2017. "Performance analysis of a self-adaptive building integrated photovoltaic thermoelectric wall system in hot summer and cold winter zone of China," Energy, Elsevier, vol. 140(P1), pages 584-600.
    3. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Wang, Yingzi & Meng, Fangfang & Wu, Jing, 2016. "Thermal performance evaluation of an active building integrated photovoltaic thermoelectric wall system," Applied Energy, Elsevier, vol. 177(C), pages 25-39.
    4. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Yu, Jinghua & Xu, Xinhua & Su, Xiaosong, 2020. "Towards net zero energy building: The application potential and adaptability of photovoltaic-thermoelectric-battery wall system," Applied Energy, Elsevier, vol. 258(C).
    5. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Wu, Jing & Zhang, Yelin & Wu, Zhenghong, 2018. "Numerical evaluation on energy saving potential of a solar photovoltaic thermoelectric radiant wall system in cooling dominant climates," Energy, Elsevier, vol. 142(C), pages 384-399.
    6. Zuazua-Ros, Amaia & Martín-Gómez, César & Ibañez-Puy, Elia & Vidaurre-Arbizu, Marina & Gelbstein, Yaniv, 2019. "Investigation of the thermoelectric potential for heating, cooling and ventilation in buildings: Characterization options and applications," Renewable Energy, Elsevier, vol. 131(C), pages 229-239.
    7. Luo, Yongqiang & Yan, Tian & Zhang, Nan, 2020. "Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method," Energy, Elsevier, vol. 208(C).
    8. Dhumane, Rohit & Ling, Jiazhen & Aute, Vikrant & Radermacher, Reinhard, 2017. "Portable personal conditioning systems: Transient modeling and system analysis," Applied Energy, Elsevier, vol. 208(C), pages 390-401.
    9. Mohadeseh Seyednezhad & Hamidreza Najafi & Benjamin Kubwimana, 2021. "Numerical and Experimental Investigation of a Thermoelectric-Based Radiant Ceiling Panel with Phase Change Material for Building Cooling Applications," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    10. Min-Hwi Kim & Joon-Young Park & Jae-Weon Jeong, 2017. "Energy Saving Potential of a Thermoelectric Heat Pump-Assisted Liquid Desiccant System in a Dedicated Outdoor Air System," Energies, MDPI, vol. 10(9), pages 1-19, September.
    11. Luo, Yongqiang & Zhang, Ling & Bozlar, Michael & Liu, Zhongbing & Guo, Hongshan & Meggers, Forrest, 2019. "Active building envelope systems toward renewable and sustainable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 470-491.
    12. Miae Seong & Cheolsoo Lim & Jaehyun Lim & Jaewan Park, 2021. "A Study on the Status and Thermal Environment Improvement of Ceiling-Embedded Indoor Cooling and Heating Unit," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    13. Kong, Xiangfei & Xi, Chang & Li, Han & Lin, Zhang, 2020. "Multi-parameter performance optimization for whole year operation of stratum ventilation in offices," Applied Energy, Elsevier, vol. 268(C).
    14. Irshad, Kashif & Habib, Khairul & Basrawi, Firdaus & Saha, Bidyut Baran, 2017. "Study of a thermoelectric air duct system assisted by photovoltaic wall for space cooling in tropical climate," Energy, Elsevier, vol. 119(C), pages 504-522.
    15. Luo, Yongqiang & Zhang, Ling & Wu, Jing & Liu, Zhongbing & Wu, Zhenghong & He, Xihua, 2017. "Dynamical simulation of building integrated photovoltaic thermoelectric wall system: Balancing calculation speed and accuracy," Applied Energy, Elsevier, vol. 204(C), pages 887-897.

    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.
    1. Jia, Hongyuan & Pang, Xiufeng & Haves, Philip, 2018. "Experimentally-determined characteristics of radiant systems for office buildings," Applied Energy, Elsevier, vol. 221(C), pages 41-54.
    2. Lim, Jae-Han & Song, Jin-Hee & Song, Seung-Yeong, 2014. "Development of operational guidelines for thermally activated building system according to heating and cooling load characteristics," Applied Energy, Elsevier, vol. 126(C), pages 123-135.
    3. Wei, Zhichen & Calautit, John, 2023. "Predictive control of low-temperature heating system with passive thermal mass energy storage and photovoltaic system: Impact of occupancy patterns and climate change," Energy, Elsevier, vol. 269(C).
    4. Muhammad Fayaz & DoHyeun Kim, 2018. "Energy Consumption Optimization and User Comfort Management in Residential Buildings Using a Bat Algorithm and Fuzzy Logic," Energies, MDPI, vol. 11(1), pages 1-22, January.
    5. Muniak, Damian Piotr, 2014. "A new methodology to determine the pre-setting of the control valve in a heating installation. A general model," Applied Energy, Elsevier, vol. 135(C), pages 35-42.
    6. Gokhale, Gargya & Claessens, Bert & Develder, Chris, 2022. "Physics informed neural networks for control oriented thermal modeling of buildings," Applied Energy, Elsevier, vol. 314(C).
    7. Molinari, Marco & Anund Vogel, Jonas & Rolando, Davide & Lundqvist, Per, 2023. "Using living labs to tackle innovation bottlenecks: the KTH Live-In Lab case study," Applied Energy, Elsevier, vol. 338(C).
    8. 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.
    9. Sachin Kumar & Zairu Nisha & Jagvinder Singh & Anuj Kumar Sharma, 2022. "Sensor network driven novel hybrid model based on feature selection and SVR to predict indoor temperature for energy consumption optimisation in smart buildings," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 3048-3061, December.
    10. Gianluca Serale & Massimo Fiorentini & Alfonso Capozzoli & Daniele Bernardini & Alberto Bemporad, 2018. "Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities," Energies, MDPI, vol. 11(3), pages 1-35, March.
    11. Monika Gandhi & Ashok Kumar & Rajasekar Elangovan & Chandan Swaroop Meena & Kishor S. Kulkarni & Anuj Kumar & Garima Bhanot & Nishant R. Kapoor, 2020. "A Review on Shape-Stabilized Phase Change Materials for Latent Energy Storage in Buildings," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    12. Sun, Chunhua & Liu, Yiting & Cao, Shanshan & Chen, Jiali & Xia, Guoqiang & Wu, Xiangdong, 2022. "Identification of control regularity of heating stations based on cross-correlation function dynamic time delay method," Energy, Elsevier, vol. 246(C).
    13. Felten, Björn & Weber, Christoph, 2018. "The value(s) of flexible heat pumps – Assessment of technical and economic conditions," Applied Energy, Elsevier, vol. 228(C), pages 1292-1319.
    14. Wang, Zhu & Wang, Lingfeng & Dounis, Anastasios I. & Yang, Rui, 2012. "Multi-agent control system with information fusion based comfort model for smart buildings," Applied Energy, Elsevier, vol. 99(C), pages 247-254.
    15. Thamer Alquthami & Ahmad H. Milyani & Muhammad Awais & Muhammad B. Rasheed, 2021. "An Incentive Based Dynamic Pricing in Smart Grid: A Customer’s Perspective," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    16. Byung-Ki Jeon & Eui-Jong Kim, 2021. "LSTM-Based Model Predictive Control for Optimal Temperature Set-Point Planning," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    17. Yuan, Jianjuan & Huang, Ke & Han, Zhao & Zhou, Zhihua & Lu, Shilei, 2021. "A new feedback predictive model for improving the operation efficiency of heating station based on indoor temperature," Energy, Elsevier, vol. 222(C).
    18. Knudsen, Michael Dahl & Georges, Laurent & Skeie, Kristian Stenerud & Petersen, Steffen, 2021. "Experimental test of a black-box economic model predictive control for residential space heating," Applied Energy, Elsevier, vol. 298(C).
    19. Ge, Gaoming & Xiao, Fu & Xu, Xinhua, 2011. "Model-based optimal control of a dedicated outdoor air-chilled ceiling system using liquid desiccant and membrane-based total heat recovery," Applied Energy, Elsevier, vol. 88(11), pages 4180-4190.
    20. Chen, Jiaoliao & Xu, Fang & Tan, Dapeng & Shen, Zheng & Zhang, Libin & Ai, Qinglin, 2015. "A control method for agricultural greenhouses heating based on computational fluid dynamics and energy prediction model," Applied Energy, Elsevier, vol. 141(C), pages 106-118.

    Corrections

    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:appene:v:162:y:2016:i:c:p:675-686. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.