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Impact of external insulation and internal thermal density upon energy consumption of buildings in a temperate climate with four distinct seasons

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  • Lee, Junghun
  • Kim, Jeonggook
  • Song, Doosam
  • Kim, Jonghun
  • Jang, Cheolyong

Abstract

Most of the building codes for energy saving are focused on strengthening the insulation and airtightness of the building envelope. Insulation and air tightness of the building envelope reduces heat loss during the heating season, but can lead to overheating in the cooling season according to the building types owing to the internal heat gain levels.

Suggested Citation

  • Lee, Junghun & Kim, Jeonggook & Song, Doosam & Kim, Jonghun & Jang, Cheolyong, 2017. "Impact of external insulation and internal thermal density upon energy consumption of buildings in a temperate climate with four distinct seasons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1081-1088.
    • Handle: RePEc:eee:rensus:v:75:y:2017:i:c:p:1081-1088
    DOI: 10.1016/j.rser.2016.11.087
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    1. Ohlsson, K.E.A. & Olofsson, T., 2014. "Quantitative infrared thermography imaging of the density of heat flow rate through a building element surface," Applied Energy, Elsevier, vol. 134(C), pages 499-505.
    2. Schwartz, Yair & Raslan, Rokia & Mumovic, Dejan, 2016. "Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study," Energy, Elsevier, vol. 97(C), pages 58-68.
    3. Mohamed, Ayman & Hamdy, Mohamed & Hasan, Ala & Sirén, Kai, 2015. "The performance of small scale multi-generation technologies in achieving cost-optimal and zero-energy office building solutions," Applied Energy, Elsevier, vol. 152(C), pages 94-108.
    4. Shafaghat, Arezou & Keyvanfar, Ali & Abd. Majid, Muhd Zaimi & Lamit, Hasanuddin Bin & Ahmad, Mohd Hamdan & Ferwati, Mohamed Salim & Ghoshal, Sib Krishna, 2016. "Methods for adaptive behaviors satisfaction assessment with energy efficient building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 250-259.
    5. Radhi, H., 2009. "Can envelope codes reduce electricity and CO2 emissions in different types of buildings in the hot climate of Bahrain?," Energy, Elsevier, vol. 34(2), pages 205-215.
    6. Lin, Hung-Wen & Hong, Tianzhen, 2013. "On variations of space-heating energy use in office buildings," Applied Energy, Elsevier, vol. 111(C), pages 515-528.
    7. Østergård, Torben & Jensen, Rasmus L. & Maagaard, Steffen E., 2016. "Building simulations supporting decision making in early design – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 187-201.
    8. Hemsath, Timothy L. & Alagheband Bandhosseini, Kaveh, 2015. "Sensitivity analysis evaluating basic building geometry's effect on energy use," Renewable Energy, Elsevier, vol. 76(C), pages 526-538.
    9. Abdelaziz, E.A. & Saidur, R. & Mekhilef, S., 2011. "A review on energy saving strategies in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 150-168, January.
    10. Yik, F.W.H & Wan, K.S.Y, 2005. "An evaluation of the appropriateness of using overall thermal transfer value (OTTV) to regulate envelope energy performance of air-conditioned buildings," Energy, Elsevier, vol. 30(1), pages 41-71.
    11. Anderson, John E. & Wulfhorst, Gebhard & Lang, Werner, 2015. "Energy analysis of the built environment—A review and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 149-158.
    12. Hee, W.J. & Alghoul, M.A. & Bakhtyar, B. & Elayeb, OmKalthum & Shameri, M.A. & Alrubaih, M.S. & Sopian, K., 2015. "The role of window glazing on daylighting and energy saving in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 323-343.
    13. Delgarm, N. & Sajadi, B. & Kowsary, F. & Delgarm, S., 2016. "Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)," Applied Energy, Elsevier, vol. 170(C), pages 293-303.
    14. Anderson, Kyle & Lee, SangHyun, 2016. "An empirically grounded model for simulating normative energy use feedback interventions," Applied Energy, Elsevier, vol. 173(C), pages 272-282.
    15. Ionescu, Constantin & Baracu, Tudor & Vlad, Gabriela-Elena & Necula, Horia & Badea, Adrian, 2015. "The historical evolution of the energy efficient buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 243-253.
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    4. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    5. Pessoa, S. & Guimarães, A.S. & Lucas, S.S. & Simões, N., 2021. "3D printing in the construction industry - A systematic review of the thermal performance in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
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    7. Roberto Robledo-Fava & Mónica C. Hernández-Luna & Pedro Fernández-de-Córdoba & Humberto Michinel & Sonia Zaragoza & A Castillo-Guzman & Romeo Selvas-Aguilar, 2019. "Analysis of the Influence Subjective Human Parameters in the Calculation of Thermal Comfort and Energy Consumption of Buildings," Energies, MDPI, vol. 12(8), pages 1-23, April.
    8. Lee, Junghun & Yoo, Seunghwan & Kim, Jonghun & Song, Doosam & Jeong, Hakgeun, 2018. "Improvements to the customer baseline load (CBL) using standard energy consumption considering energy efficiency and demand response," Energy, Elsevier, vol. 144(C), pages 1052-1063.

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