IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v162y2018icp1125-1138.html
   My bibliography  Save this article

Design parameters of the timber-glass upgrade module and the existing building: Impact on the energy-efficient refurbishment process

Author

Listed:
  • Lešnik, Maja
  • Premrov, Miroslav
  • Žegarac Leskovar, Vesna

Abstract

Refurbishment of old existing buildings means an enormous potential for improving their energy efficiency. Besides the established renovation methods encompassing mostly measures applied to the thermal envelope, the extension of existing buildings with lightweight structural upgrades has become popular especially in densely populated urban areas. While being beneficial to the reduction of the transmission losses through the roof of the existing building, the above solution also results in acquisition of new floor surface. Despite the increasing number of such renovations in practice, this topic is rather poorly supported by scientific research, which results in a lack of general design guidelines.

Suggested Citation

  • Lešnik, Maja & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2018. "Design parameters of the timber-glass upgrade module and the existing building: Impact on the energy-efficient refurbishment process," Energy, Elsevier, vol. 162(C), pages 1125-1138.
    • Handle: RePEc:eee:energy:v:162:y:2018:i:c:p:1125-1138
    DOI: 10.1016/j.energy.2018.08.108
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421831644X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.08.108?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. Hong, Tianzhen & Piette, Mary Ann & Chen, Yixing & Lee, Sang Hoon & Taylor-Lange, Sarah C. & Zhang, Rongpeng & Sun, Kaiyu & Price, Phillip, 2015. "Commercial Building Energy Saver: An energy retrofit analysis toolkit," Applied Energy, Elsevier, vol. 159(C), pages 298-309.
    2. Dodoo, Ambrose & Gustavsson, Leif & Tettey, Uniben Y.A., 2017. "Final energy savings and cost-effectiveness of deep energy renovation of a multi-storey residential building," Energy, Elsevier, vol. 135(C), pages 563-576.
    3. Wu, Zhou & Wang, Bo & Xia, Xiaohua, 2016. "Large-scale building energy efficiency retrofit: Concept, model and control," Energy, Elsevier, vol. 109(C), pages 456-465.
    4. Lee, Sang Hoon & Hong, Tianzhen & Piette, Mary Ann & Taylor-Lange, Sarah C., 2015. "Energy retrofit analysis toolkits for commercial buildings: A review," Energy, Elsevier, vol. 89(C), pages 1087-1100.
    5. Ferreira, Joaquim & Pinheiro, Manuel Duarte & Brito, Jorge de, 2013. "Refurbishment decision support tools review—Energy and life cycle as key aspects to sustainable refurbishment projects," Energy Policy, Elsevier, vol. 62(C), pages 1453-1460.
    6. Galatioto, A. & Ciulla, G. & Ricciu, R., 2017. "An overview of energy retrofit actions feasibility on Italian historical buildings," Energy, Elsevier, vol. 137(C), pages 991-1000.
    7. Webb, Amanda L., 2017. "Energy retrofits in historic and traditional buildings: A review of problems and methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 748-759.
    8. Michelle Norris & Patrick Shiels, 2004. "Regular national report on housing developments in European countries : synthesis report," Open Access publications 10197/5368, Research Repository, University College Dublin.
    9. Friedman, Chanoch & Becker, Nir & Erell, Evyatar, 2014. "Energy retrofit of residential building envelopes in Israel: A cost-benefit analysis," Energy, Elsevier, vol. 77(C), pages 183-193.
    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. Bottino-Leone, Dario & Larcher, Marco & Herrera-Avellanosa, Daniel & Haas, Franziska & Troi, Alexandra, 2019. "Evaluation of natural-based internal insulation systems in historic buildings through a holistic approach," Energy, Elsevier, vol. 181(C), pages 521-531.
    2. Maja Lešnik Nedelko & Stojan Kravanja & Miroslav Premrov & Vesna Žegarac Leskovar, 2025. "Development of Methodology for Estimation of Energy-Efficient Building Renovation Using Application of MINLP-Optimized Timber–Glass Upgrade Modules," Sustainability, MDPI, vol. 17(1), pages 1-24, January.
    3. Lešnik, Maja & Kravanja, Stojan & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2020. "Optimal design of timber-glass upgrade modules for vertical building extension from the viewpoints of energy efficiency and visual comfort," Applied Energy, Elsevier, vol. 270(C).

    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. Thrampoulidis, Emmanouil & Mavromatidis, Georgios & Lucchi, Aurelien & Orehounig, Kristina, 2021. "A machine learning-based surrogate model to approximate optimal building retrofit solutions," Applied Energy, Elsevier, vol. 281(C).
    2. Zheng, Donglin & Yu, Lijun & Wang, Lizhen, 2019. "A techno-economic-risk decision-making methodology for large-scale building energy efficiency retrofit using Monte Carlo simulation," Energy, Elsevier, vol. 189(C).
    3. Thrampoulidis, Emmanouil & Hug, Gabriela & Orehounig, Kristina, 2023. "Approximating optimal building retrofit solutions for large-scale retrofit analysis," Applied Energy, Elsevier, vol. 333(C).
    4. Yung Yau & Huiying (Cynthia) Hou & Ka Chi Yip & Queena Kun Qian, 2021. "Transaction Cost and Agency Perspectives on Eco-Certification of Existing Buildings: A Study of Hong Kong," Energies, MDPI, vol. 14(19), pages 1-20, October.
    5. Rachael Sherman & Hariharan Naganathan & Kristen Parrish, 2021. "Energy Savings Results from Small Commercial Building Retrofits in the US," Energies, MDPI, vol. 14(19), pages 1-16, September.
    6. Dodoo, Ambrose & Gustavsson, Leif & Tettey, Uniben Y.A., 2017. "Final energy savings and cost-effectiveness of deep energy renovation of a multi-storey residential building," Energy, Elsevier, vol. 135(C), pages 563-576.
    7. Sun, Kaiyu & Hong, Tianzhen & Taylor-Lange, Sarah C. & Piette, Mary Ann, 2016. "A pattern-based automated approach to building energy model calibration," Applied Energy, Elsevier, vol. 165(C), pages 214-224.
    8. Alessia Buda & Ernst Jan de Place Hansen & Alexander Rieser & Emanuela Giancola & Valeria Natalina Pracchi & Sara Mauri & Valentina Marincioni & Virginia Gori & Kalliopi Fouseki & Cristina S. Polo Lóp, 2021. "Conservation-Compatible Retrofit Solutions in Historic Buildings: An Integrated Approach," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    9. Lešnik, Maja & Kravanja, Stojan & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2020. "Optimal design of timber-glass upgrade modules for vertical building extension from the viewpoints of energy efficiency and visual comfort," Applied Energy, Elsevier, vol. 270(C).
    10. Ayikoe Tettey, Uniben Yao & Gustavsson, Leif, 2020. "Energy savings and overheating risk of deep energy renovation of a multi-storey residential building in a cold climate under climate change," Energy, Elsevier, vol. 202(C).
    11. Yasmine Sabry Hegazi & Heidi Ahmed Shalaby & Mady A. A. Mohamed, 2021. "Adaptive Reuse Decisions for Historic Buildings in Relation to Energy Efficiency and Thermal Comfort—Cairo Citadel, a Case Study from Egypt," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    12. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2017. "Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach," Energy, Elsevier, vol. 118(C), pages 999-1017.
    13. Henrik Engelbrecht Foldager & Rasmus Camillus Jeppesen & Muhyiddine Jradi, 2019. "DanRETRO: A Decision-Making Tool for Energy Retrofit Design and Assessment of Danish Buildings," Sustainability, MDPI, vol. 11(14), pages 1-19, July.
    14. Deb, C. & Schlueter, A., 2021. "Review of data-driven energy modelling techniques for building retrofit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    15. Hou, Jing & Liu, Yisheng & Wu, Yong & Zhou, Nan & Feng, Wei, 2016. "Comparative study of commercial building energy-efficiency retrofit policies in four pilot cities in China," Energy Policy, Elsevier, vol. 88(C), pages 204-215.
    16. Pochwała, Sławomir & Anweiler, Stanisław & Tańczuk, Mariusz & Klementowski, Igor & Przysiężniuk, Dawid & Adrian, Łukasz & McNamara, Greg & Stevanović, Žana, 2023. "Energy source impact on the economic and environmental effects of retrofitting a heritage building with a heat pump system," Energy, Elsevier, vol. 278(PB).
    17. Capozzoli, Alfonso & Piscitelli, Marco Savino & Neri, Francesco & Grassi, Daniele & Serale, Gianluca, 2016. "A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient Healthcare Centres," Applied Energy, Elsevier, vol. 171(C), pages 592-607.
    18. Kalevi Piira & Julia Kantorovitch & Lotta Kannari & Jouko Piippo & Nam Vu Hoang, 2022. "Decision Support Tool to Enable Real-Time Data-Driven Building Energy Retrofitting Design," Energies, MDPI, vol. 15(15), pages 1-17, July.
    19. Säwén, Toivo & Sasic Kalagasidis, Angela & Hollberg, Alexander, 2024. "Critical perspectives on life cycle building performance assessment tool reviews," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    20. Mirco Andreotti & Dario Bottino-Leone & Marta Calzolari & Pietromaria Davoli & Luisa Dias Pereira & Elena Lucchi & Alexandra Troi, 2020. "Applied Research of the Hygrothermal Behaviour of an Internally Insulated Historic Wall without Vapour Barrier: In Situ Measurements and Dynamic Simulations," Energies, MDPI, vol. 13(13), pages 1-22, 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:energy:v:162:y:2018:i:c:p:1125-1138. 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.

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