IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v87y2010i10p3084-3091.html
   My bibliography  Save this article

A transient model for the energy analysis of indoor spaces

Author

Listed:
  • Antonopoulos, K.A.
  • Gioti, F.
  • Tzivanidis, C.

Abstract

Using a finite-difference procedure, the dynamic energy response of indoor spaces under the influence of indoor energy pulses is analyzed. The method of analysis is simple and explicit and is based on the indoor surface thermal capacitance and heat-loss coefficient Cs and Ls respectively. It is demonstrated that these parameters characterize fully any specified indoor space, as far as its energy behaviour is concerned. Their values are calculated for an extended variety of indoor spaces, i.e. for various floor areas, floor dimensions ratios, indoor surface materials of envelope, partitions and furnishings, fenestration and indoor partitions areas. The range of validity of the present method of analysis is also defined and the corresponding deviations are quantified with reference to rigorous finite-difference solutions. The provided values of indoor space characteristics Cs and Ls may be used in a wide range of technological building applications, including comparisons and classifications of indoor spaces, design and selection of construction materials and furnishing as well as the investigation of effects from electric equipment, windows or doors opening, short-time ventilations, brief stay of visitors, etc.

Suggested Citation

  • Antonopoulos, K.A. & Gioti, F. & Tzivanidis, C., 2010. "A transient model for the energy analysis of indoor spaces," Applied Energy, Elsevier, vol. 87(10), pages 3084-3091, October.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:10:p:3084-3091
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(10)00109-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Antonopoulos, K.A. & Koronaki, E., 1998. "Apparent and effective thermal capacitance of buildings," Energy, Elsevier, vol. 23(3), pages 183-192.
    2. Antonopoulos, K.A. & Tzivanidis, C., 1997. "Numerical solution of unsteady three-dimensional heat transfer during space cooling using ceiling-embedded piping," Energy, Elsevier, vol. 22(1), pages 59-67.
    3. Papakostas, K.T. & Michopoulos, A.K. & Kyriakis, N.A., 2009. "Equivalent full-load hours for estimating heating and cooling energy requirements in buildings: Greece case study," Applied Energy, Elsevier, vol. 86(5), pages 757-761, May.
    4. Asfour, Omar S. & Gadi, Mohamed B., 2008. "Using CFD to investigate ventilation characteristics of vaults as wind-inducing devices in buildings," Applied Energy, Elsevier, vol. 85(12), pages 1126-1140, December.
    5. Antonopoulos, K.A. & Tzivanidis, C., 1995. "A correlation for the thermal delay of buildings," Renewable Energy, Elsevier, vol. 6(7), pages 687-699.
    6. Yildiz, Abdullah & Güngör, Ali, 2009. "Energy and exergy analyses of space heating in buildings," Applied Energy, Elsevier, vol. 86(10), pages 1939-1948, October.
    7. Karunakaran, R. & Iniyan, S. & Goic, Ranko, 2010. "Energy efficient fuzzy based combined variable refrigerant volume and variable air volume air conditioning system for buildings," Applied Energy, Elsevier, vol. 87(4), pages 1158-1175, April.
    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. Evola, G. & Marletta, L., 2015. "The Solar Response Factor to calculate the cooling load induced by solar gains," Applied Energy, Elsevier, vol. 160(C), pages 431-441.

    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. Tzivanidis, C. & Antonopoulos, K.A. & Gioti, F., 2011. "Numerical simulation of cooling energy consumption in connection with thermostat operation mode and comfort requirements for the Athens buildings," Applied Energy, Elsevier, vol. 88(8), pages 2871-2884, August.
    2. Spandagos, Constantine & Ng, Tze Ling, 2018. "Fuzzy model of residential energy decision-making considering behavioral economic concepts," Applied Energy, Elsevier, vol. 213(C), pages 611-625.
    3. Drosou, Vassiliki & Kosmopoulos, Panos & Papadopoulos, Agis, 2016. "Solar cooling system using concentrating collectors for office buildings: A case study for Greece," Renewable Energy, Elsevier, vol. 97(C), pages 697-708.
    4. Katsaprakakis, Dimitris Al & Voumvoulakis, Manolis, 2018. "A hybrid power plant towards 100% energy autonomy for the island of Sifnos, Greece. Perspectives created from energy cooperatives," Energy, Elsevier, vol. 161(C), pages 680-698.
    5. Nutkiewicz, Alex & Yang, Zheng & Jain, Rishee K., 2018. "Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow," Applied Energy, Elsevier, vol. 225(C), pages 1176-1189.
    6. Picallo-Perez, Ana & Catrini, Pietro & Piacentino, Antonio & Sala, José-Mª, 2019. "A novel thermoeconomic analysis under dynamic operating conditions for space heating and cooling systems," Energy, Elsevier, vol. 180(C), pages 819-837.
    7. Romaní, Joaquim & Cabeza, Luisa F. & de Gracia, Alvaro, 2018. "Development and experimental validation of a transient 2D numeric model for radiant walls," Renewable Energy, Elsevier, vol. 115(C), pages 859-870.
    8. Oropeza-Perez, Ivan & Østergaard, Poul Alberg, 2014. "Potential of natural ventilation in temperate countries – A case study of Denmark," Applied Energy, Elsevier, vol. 114(C), pages 520-530.
    9. Mirzazade Akbarpoor, Ali & Haghighi Poshtiri, Amin & Biglari, Faraz, 2021. "Performance analysis of domed roof integrated with earth-to-air heat exchanger system to meet thermal comfort conditions in buildings," Renewable Energy, Elsevier, vol. 168(C), pages 1265-1293.
    10. 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).
    11. Al-Shammari, Eiman Tamah & Keivani, Afram & Shamshirband, Shahaboddin & Mostafaeipour, Ali & Yee, Por Lip & Petković, Dalibor & Ch, Sudheer, 2016. "Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm," Energy, Elsevier, vol. 95(C), pages 266-273.
    12. Baldvinsson, Ivar & Nakata, Toshihiko, 2014. "A comparative exergy and exergoeconomic analysis of a residential heat supply system paradigm of Japan and local source based district heating system using SPECO (specific exergy cost) method," Energy, Elsevier, vol. 74(C), pages 537-554.
    13. Yan, Huaxia & Xia, Yudong & Deng, Shiming, 2017. "Simulation study on a three-evaporator air conditioning system for simultaneous indoor air temperature and humidity control," Applied Energy, Elsevier, vol. 207(C), pages 294-304.
    14. Gábor L. Szabó, 2020. "Thermo-Chemical Instability and Energy Analysis of Absorption Heat Pumps," Energies, MDPI, vol. 13(8), pages 1-13, April.
    15. Ren, Zhengen & Chen, Dong, 2018. "Modelling study of the impact of thermal comfort criteria on housing energy use in Australia," Applied Energy, Elsevier, vol. 210(C), pages 152-166.
    16. Lü, Xiaoshu & Lu, Tao & Kibert, Charles J. & Viljanen, Martti, 2014. "A novel dynamic modeling approach for predicting building energy performance," Applied Energy, Elsevier, vol. 114(C), pages 91-103.
    17. Andrej Ljubenko & Alojz Poredoš & Tatiana Morosuk & George Tsatsaronis, 2013. "Performance Analysis of a District Heating System," Energies, MDPI, vol. 6(3), pages 1-16, March.
    18. Yu, Jinghua & Yang, Changzhi & Tian, Liwei & Liao, Dan, 2009. "Evaluation on energy and thermal performance for residential envelopes in hot summer and cold winter zone of China," Applied Energy, Elsevier, vol. 86(10), pages 1970-1985, October.
    19. Bi, Yuehong & Wang, Xinhong & Liu, Yun & Zhang, Hua & Chen, Lingen, 2009. "Comprehensive exergy analysis of a ground-source heat pump system for both building heating and cooling modes," Applied Energy, Elsevier, vol. 86(12), pages 2560-2565, December.
    20. Milen Balbis-Morejón & Juan J. Cabello-Eras & Javier M. Rey-Hernández & Francisco J. Rey-Martínez, 2021. "Energy Evaluation and Energy Savings Analysis with the 2 Selection of AC Systems in an Educational Building," Sustainability, MDPI, vol. 13(14), pages 1-10, July.

    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:87:y:2010:i:10:p:3084-3091. 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.