IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v90y2012i1p241-249.html
   My bibliography  Save this article

Building energy demand patterns for department stores in Korea

Author

Listed:
  • Chung, Mo
  • Park, Hwa-Choon

Abstract

The daily energy demand patterns for 14 department stores located in the five largest cities in Korea are surveyed to establish building-energy load models. Electricity and fuel consumption data are field-measured at one carefully chosen store among the sample stores that best represent the statistical characteristics of the department stores to extract hourly consumption profiles for the electricity, heating, hot water, and cooling loads. The data statistically processed to develop a generic computational model for future applications.

Suggested Citation

  • Chung, Mo & Park, Hwa-Choon, 2012. "Building energy demand patterns for department stores in Korea," Applied Energy, Elsevier, vol. 90(1), pages 241-249.
    • Handle: RePEc:eee:appene:v:90:y:2012:i:1:p:241-249
    DOI: 10.1016/j.apenergy.2011.05.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261911002996
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2011.05.008?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. Widén, Joakim & Wäckelgård, Ewa, 2010. "A high-resolution stochastic model of domestic activity patterns and electricity demand," Applied Energy, Elsevier, vol. 87(6), pages 1880-1892, June.
    2. Rahman, M.M. & Rasul, M.G. & Khan, M.M.K., 2010. "Energy conservation measures in an institutional building in sub-tropical climate in Australia," Applied Energy, Elsevier, vol. 87(10), pages 2994-3004, October.
    3. Kannan, Ramachandran, 2011. "The development and application of a temporal MARKAL energy system model using flexible time slicing," Applied Energy, Elsevier, vol. 88(6), pages 2261-2272, June.
    4. Baker, Keith J. & Rylatt, R. Mark, 2008. "Improving the prediction of UK domestic energy-demand using annual consumption-data," Applied Energy, Elsevier, vol. 85(6), pages 475-482, June.
    5. Lai, Sau Man & Hui, Chi Wai, 2010. "Integration of trigeneration system and thermal storage under demand uncertainties," Applied Energy, Elsevier, vol. 87(9), pages 2868-2880, September.
    6. Nair, Gireesh & Gustavsson, Leif & Mahapatra, Krushna, 2010. "Owners perception on the adoption of building envelope energy efficiency measures in Swedish detached houses," Applied Energy, Elsevier, vol. 87(7), pages 2411-2419, July.
    7. Krüger, E. & Pearlmutter, D. & Rasia, F., 2010. "Evaluating the impact of canyon geometry and orientation on cooling loads in a high-mass building in a hot dry environment," Applied Energy, Elsevier, vol. 87(6), pages 2068-2078, June.
    8. Yildiz, Abdullah & Güngör, Ali, 2009. "Energy and exergy analyses of space heating in buildings," Applied Energy, Elsevier, vol. 86(10), pages 1939-1948, October.
    9. Lehmann, B. & Dorer, V. & Gwerder, M. & Renggli, F. & Tödtli, J., 2011. "Thermally activated building systems (TABS): Energy efficiency as a function of control strategy, hydronic circuit topology and (cold) generation system," Applied Energy, Elsevier, vol. 88(1), pages 180-191, January.
    10. Perez, Yael Valerie & Capeluto, Isaac Guedi, 2009. "Climatic considerations in school building design in the hot-humid climate for reducing energy consumption," Applied Energy, Elsevier, vol. 86(3), pages 340-348, March.
    11. Yun, Geun Young & Steemers, Koen, 2011. "Behavioural, physical and socio-economic factors in household cooling energy consumption," Applied Energy, Elsevier, vol. 88(6), pages 2191-2200, June.
    12. Wan, K. S. Y. & Yik, F. H. W., 2004. "Representative building design and internal load patterns for modelling energy use in residential buildings in Hong Kong," Applied Energy, Elsevier, vol. 77(1), pages 69-85, January.
    13. Gaitani, N. & Lehmann, C. & Santamouris, M. & Mihalakakou, G. & Patargias, P., 2010. "Using principal component and cluster analysis in the heating evaluation of the school building sector," Applied Energy, Elsevier, vol. 87(6), pages 2079-2086, June.
    14. Taleb, Hanan M. & Sharples, Steve, 2011. "Developing sustainable residential buildings in Saudi Arabia: A case study," Applied Energy, Elsevier, vol. 88(1), pages 383-391, January.
    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. Jerzy Mikulik, 2018. "Energy Demand Patterns in an Office Building: A Case Study in Kraków (Southern Poland)," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    2. Song, Jeonghun & Oh, Si-Doek & Song, Seung Jin, 2019. "Effect of increased building-integrated renewable energy on building energy portfolio and energy flows in an urban district of Korea," Energy, Elsevier, vol. 189(C).
    3. Young-Jik Youn & Yong-Hoon Im, 2022. "Technical Feasibility Assessment for a Novel Fifth-Generation District Heating Model of Interconnected Operation with a Large-Scale Building," Sustainability, MDPI, vol. 14(19), pages 1-30, October.
    4. Song, Jeonghun & Song, Seung Jin, 2020. "A framework for analyzing city-wide impact of building-integrated renewable energy," Applied Energy, Elsevier, vol. 276(C).
    5. Ferrari, Simone & Zagarella, Federica & Caputo, Paola & D'Amico, Antonino, 2019. "Results of a literature review on methods for estimating buildings energy demand at district level," Energy, Elsevier, vol. 175(C), pages 1130-1137.
    6. 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.
    7. Yonghoon Im, 2022. "Assessment of the Impact of Renewable Energy Expansion on the Technological Competitiveness of the Cogeneration Model," Energies, MDPI, vol. 15(18), pages 1-27, September.
    8. Apadula, Francesco & Bassini, Alessandra & Elli, Alberto & Scapin, Simone, 2012. "Relationships between meteorological variables and monthly electricity demand," Applied Energy, Elsevier, vol. 98(C), pages 346-356.
    9. Sergio Ortega Alba & Mario Manana, 2017. "Characterization and Analysis of Energy Demand Patterns in Airports," Energies, MDPI, vol. 10(1), pages 1-35, January.
    10. Manfren, Massimiliano & Aste, Niccolò & Moshksar, Reza, 2013. "Calibration and uncertainty analysis for computer models – A meta-model based approach for integrated building energy simulation," Applied Energy, Elsevier, vol. 103(C), pages 627-641.
    11. Mikkola, Jani & Lund, Peter D., 2014. "Models for generating place and time dependent urban energy demand profiles," Applied Energy, Elsevier, vol. 130(C), pages 256-264.
    12. Yeo, In-Ae & Yoon, Seong-Hwan & Yee, Jurng-Jae, 2013. "Development of an urban energy demand forecasting system to support environmentally friendly urban planning," Applied Energy, Elsevier, vol. 110(C), pages 304-317.

    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. Joudi, Ali & Svedung, Harald & Bales, Chris & Rönnelid, Mats, 2011. "Highly reflective coatings for interior and exterior steel cladding and the energy efficiency of buildings," Applied Energy, Elsevier, vol. 88(12), pages 4655-4666.
    2. Olofsson, Thomas & Mahlia, T.M.I., 2012. "Modeling and simulation of the energy use in an occupied residential building in cold climate," Applied Energy, Elsevier, vol. 91(1), pages 432-438.
    3. Marinakis, Vangelis & Doukas, Haris & Karakosta, Charikleia & Psarras, John, 2013. "An integrated system for buildings’ energy-efficient automation: Application in the tertiary sector," Applied Energy, Elsevier, vol. 101(C), pages 6-14.
    4. Anxiao Zhang & Regina Bokel & Andy Van den Dobbelsteen & Yanchen Sun & Qiong Huang & Qi Zhang, 2017. "The Effect of Geometry Parameters on Energy and Thermal Performance of School Buildings in Cold Climates of China," Sustainability, MDPI, vol. 9(10), pages 1-19, September.
    5. Song, Kwonsik & Jang, Youjin & Park, Moonseo & Lee, Hyun-Soo & Ahn, Joseph, 2020. "Energy efficiency of end-user groups for personalized HVAC control in multi-zone buildings," Energy, Elsevier, vol. 206(C).
    6. Wan, Kevin K.W. & Li, Danny H.W. & Pan, Wenyan & Lam, Joseph C., 2012. "Impact of climate change on building energy use in different climate zones and mitigation and adaptation implications," Applied Energy, Elsevier, vol. 97(C), pages 274-282.
    7. Walter, Travis & Sohn, Michael D., 2016. "A regression-based approach to estimating retrofit savings using the Building Performance Database," Applied Energy, Elsevier, vol. 179(C), pages 996-1005.
    8. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    9. Hsu, David, 2015. "Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data," Applied Energy, Elsevier, vol. 160(C), pages 153-163.
    10. Shoaib Azizi & Gireesh Nair & Thomas Olofsson, 2020. "Adoption of Energy Efficiency Measures in Renovation of Single-Family Houses: A Comparative Approach," Energies, MDPI, vol. 13(22), pages 1-16, November.
    11. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    12. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    13. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    14. Dongjun Suh & Seongju Chang, 2012. "An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea," Energies, MDPI, vol. 5(11), pages 1-20, November.
    15. Risholt, Birgit & Berker, Thomas, 2013. "Success for energy efficient renovation of dwellings—Learning from private homeowners," Energy Policy, Elsevier, vol. 61(C), pages 1022-1030.
    16. Ma, Jun & Cheng, Jack C.P., 2016. "Identifying the influential features on the regional energy use intensity of residential buildings based on Random Forests," Applied Energy, Elsevier, vol. 183(C), pages 193-201.
    17. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    18. Mohammad S. M. Almulhim & Dexter V. L. Hunt & Chris D. F. Rogers, 2020. "A Resilience and Environmentally Sustainable Assessment Framework (RESAF) for Domestic Building Materials in Saudi Arabia," Sustainability, MDPI, vol. 12(8), pages 1-24, April.
    19. 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.
    20. Leila Luttenberger Marić & Hrvoje Keko & Marko Delimar, 2022. "The Role of Local Aggregator in Delivering Energy Savings to Household Consumers," Energies, MDPI, vol. 15(8), pages 1-27, April.

    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:90:y:2012:i:1:p:241-249. 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.