IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v151y2021ics1364032121008558.html
   My bibliography  Save this article

Identifying practical sustainable retrofit measures for existing high-rise residential buildings in various climate zones through an integrated energy-cost model

Author

Listed:
  • He, Qiong
  • Hossain, Md. Uzzal
  • Ng, S. Thomas
  • Augenbroe, Godfried

Abstract

Sustainable building retrofit can provide a great opportunity to reduce the energy consumption of existing buildings to commensurate the climate policies and enhance the building energy performance. Given it strategic importance, there is no shortage of research studies on sustainable building retrofit globally in particular the retrofit measures and technologies for different types of buildings. Despite that, sustainable building retrofit is climate and location specific, and decision-makers are still facing challenges to identify an optimum set of retrofit measures for different climatic conditions according to the trade-off between energy saving and retrofit cost. One reason for that is because of the lack of available information especially those related to the cost of sustainable building retrofit measures. This study aims to develop an integrated energy-cost model for selecting the optimal retrofit solutions for existing high-rise residential buildings in various climatic zones in China. Based on in-depth literature review and analysis of published reports, different alternative retrofit measures for wall, window, shading system, heating and cooling systems, and renewable energy technologies for buildings in different climate zones of China are identified. The retrofit costs related to the identified sustainable building retrofit measures are analyzed by referring to the local renovation techniques and cost in each zone through developing a set of equations. A total 28 practical sustainable building retrofit measures along with a set of retrofit options are identified. A deterministic decision framework is developed to facilitate decision-makers achieving a specific energy saving target and evaluating the associated costs based on the identified retrofit measures for high-rise residential buildings in the studied climatic zones. The practical implications of the deterministic decision framework are examined through the prototype buildings in climatic zones being studies. The findings not only actively support the selection of cost-effective sustainable retrofit measures for high-rise residential buildings in China, but the methodological framework and its implications are also equally applicable to other countries with diverse climatic characteristics and standards of living.

Suggested Citation

  • He, Qiong & Hossain, Md. Uzzal & Ng, S. Thomas & Augenbroe, Godfried, 2021. "Identifying practical sustainable retrofit measures for existing high-rise residential buildings in various climate zones through an integrated energy-cost model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:rensus:v:151:y:2021:i:c:s1364032121008558
    DOI: 10.1016/j.rser.2021.111578
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032121008558
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2021.111578?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. Qiong He & Md. Uzzal Hossain & S. Thomas Ng & Godfried L. Augenbroe, 2020. "Retrofitting High-Rise Residential Building in Cold and Severe Cold Zones of China—A Deterministic Decision-Making Mechanism," Sustainability, MDPI, vol. 12(14), pages 1-28, July.
    2. Chi-Ming Lai & Yao-Hong Wang, 2011. "Energy-Saving Potential of Building Envelope Designs in Residential Houses in Taiwan," Energies, MDPI, vol. 4(11), pages 1-16, November.
    3. Pan, Dongmei & Chan, Mingyin & Deng, Shiming & Lin, Zhongping, 2012. "The effects of external wall insulation thickness on annual cooling and heating energy uses under different climates," Applied Energy, Elsevier, vol. 97(C), pages 313-318.
    4. Han, Jingyi & Mol, Arthur P.J. & Lu, Yonglong, 2010. "Solar water heaters in China: A new day dawning," Energy Policy, Elsevier, vol. 38(1), pages 383-391, January.
    5. Ihm, Pyeongchan & Park, Lyool & Krarti, Moncef & Seo, Donghyun, 2012. "Impact of window selection on the energy performance of residential buildings in South Korea," Energy Policy, Elsevier, vol. 44(C), pages 1-9.
    6. Yuan, Jun & Nian, Victor & Su, Bin, 2019. "Evaluation of cost-effective building retrofit strategies through soft-linking a metamodel-based Bayesian method and a life cycle cost assessment method," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Wang, Huan & Chen, Wenying & Shi, Jingcheng, 2018. "Low carbon transition of global building sector under 2- and 1.5-degree targets," Applied Energy, Elsevier, vol. 222(C), pages 148-157.
    8. Pedinotti-Castelle, Marianne & Astudillo, Miguel F. & Pineau, Pierre-Olivier & Amor, Ben, 2019. "Is the environmental opportunity of retrofitting the residential sector worth the life cycle cost? A consequential assessment of a typical house in Quebec," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 428-439.
    9. Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
    10. Murto, P. & Jalas, M. & Juntunen, J. & Hyysalo, S., 2019. "Devices and strategies: An analysis of managing complexity in energy retrofit projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    11. Ascione, Fabrizio & Bianco, Nicola & Maria Mauro, Gerardo & Napolitano, Davide Ferdinando, 2019. "Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. Application to different Italian climatic zones," Energy, Elsevier, vol. 174(C), pages 359-374.
    12. Offiong, Anickan & Ukpoho, A.U., 2004. "External window shading treatment effects on internal environmental temperature of buildings," Renewable Energy, Elsevier, vol. 29(14), pages 2153-2165.
    13. Yu, Jinghua & Yang, Changzhi & Tian, Liwei & Liao, Dan, 2009. "A study on optimum insulation thicknesses of external walls in hot summer and cold winter zone of China," Applied Energy, Elsevier, vol. 86(11), pages 2520-2529, November.
    14. Huang, Yu & Niu, Jian-lei & Chung, Tse-ming, 2014. "Comprehensive analysis on thermal and daylighting performance of glazing and shading designs on office building envelope in cooling-dominant climates," Applied Energy, Elsevier, vol. 134(C), pages 215-228.
    15. Lee, J.W. & Jung, H.J. & Park, J.Y. & Lee, J.B. & Yoon, Y., 2013. "Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements," Renewable Energy, Elsevier, vol. 50(C), pages 522-531.
    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. Vilppu Eloranta & Aki Grönman & Aleksandra Woszczek, 2021. "Case Study and Feasibility Analysis of Multi-Objective Life Cycle Energy System Optimization in a Nordic Campus Building," Energies, MDPI, vol. 14(22), pages 1-17, November.
    2. Ahmad Esmaeilzadeh & Brian Deal & Aghil Yousefi-Koma & Mohammad Reza Zakerzadeh, 2022. "How Multi-Criterion Optimized Control Methods Improve Effectiveness of Multi-Zone Building Heating System Upgrading," Energies, MDPI, vol. 15(22), pages 1-27, November.
    3. Ohlsson, K.E. Anders & Nair, Gireesh & Olofsson, Thomas, 2022. "Uncertainty in model prediction of energy savings in building retrofits: Case of thermal transmittance of windows," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. U. G. D. Madushika & Thanuja Ramachandra & Gayani Karunasena & P. A. D. S. Udakara, 2023. "Energy Retrofitting Technologies of Buildings: A Review-Based Assessment," Energies, MDPI, vol. 16(13), pages 1-16, June.
    5. Xiaolin Yang & Zhuoxi Chen & Yukai Zou & Fengdeng Wan, 2023. "Improving the Energy Performance and Economic Benefits of Aged Residential Buildings by Retrofitting in Hot–Humid Regions of China," Energies, MDPI, vol. 16(13), pages 1-21, June.
    6. Chen, Wei-Han & You, Fengqi, 2022. "Sustainable building climate control with renewable energy sources using nonlinear model predictive control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(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. Qiong He & S. Thomas Ng & Md. Uzzal Hossain & Martin Skitmore, 2019. "Energy-Efficient Window Retrofit for High-Rise Residential Buildings in Different Climatic Zones of China," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    2. Mi-Su Shin & Kyu-Nam Rhee & Ji-Yong Yu & Gun-Joo Jung, 2017. "Determination of Equivalent Thermal Conductivity of Window Spacers in Consideration of Condensation Prevention and Energy Saving Performance," Energies, MDPI, vol. 10(5), pages 1-21, May.
    3. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    4. Seo, Dong-yeon & Koo, Choongwan & Hong, Taehoon, 2015. "A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design," Applied Energy, Elsevier, vol. 142(C), pages 66-79.
    5. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2015. "Consensus-based low carbon domestic design framework for sustainable homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 417-432.
    6. Tao, Yao & Fang, Xiang & Chew, Michael Yit Lin & Zhang, Lihai & Tu, Jiyuan & Shi, Long, 2021. "Predicting airflow in naturally ventilated double-skin facades: theoretical analysis and modelling," Renewable Energy, Elsevier, vol. 179(C), pages 1940-1954.
    7. Ihara, Takeshi & Gustavsen, Arild & Jelle, Bjørn Petter, 2015. "Effect of facade components on energy efficiency in office buildings," Applied Energy, Elsevier, vol. 158(C), pages 422-432.
    8. Valeria Annibaldi & Federica Cucchiella & Marianna Rotilio, 2020. "A Sustainable Solution for Energy Efficiency in Italian Climatic Contexts," Energies, MDPI, vol. 13(11), pages 1-16, June.
    9. Bastien, Diane & Athienitis, Andreas K., 2015. "Methodology for selecting fenestration systems in heating dominated climates," Applied Energy, Elsevier, vol. 154(C), pages 1004-1019.
    10. Clara Camarasa & Érika Mata & Juan Pablo Jiménez Navarro & Janet Reyna & Paula Bezerra & Gerd Brantes Angelkorte & Wei Feng & Faidra Filippidou & Sebastian Forthuber & Chioke Harris & Nina Holck Sandb, 2022. "A global comparison of building decarbonization scenarios by 2050 towards 1.5–2 °C targets," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    11. Refat, Khalid H. & Sajjad, Redwan N., 2020. "Prospect of achieving net-zero energy building with semi-transparent photovoltaics: A device to system level perspective," Applied Energy, Elsevier, vol. 279(C).
    12. Koo, Choongwan & Park, Sungki & Hong, Taehoon & Park, Hyo Seon, 2014. "An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method," Applied Energy, Elsevier, vol. 115(C), pages 205-215.
    13. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    14. Chang, Pao-Long & Ho, Shu-Ping & Hsu, Chiung-Wen, 2013. "Dynamic simulation of government subsidy policy effects on solar water heaters installation in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 385-396.
    15. Bayoumi, Mohannad & Fink, Dietrich, 2014. "Maximizing the performance of an energy generating façade in terms of energy saving strategies," Renewable Energy, Elsevier, vol. 64(C), pages 294-305.
    16. Giacomo Chiesa & Andrea Acquaviva & Mario Grosso & Lorenzo Bottaccioli & Maurizio Floridia & Edoardo Pristeri & Edoardo Maria Sanna, 2019. "Parametric Optimization of Window-to-Wall Ratio for Passive Buildings Adopting A Scripting Methodology to Dynamic-Energy Simulation," Sustainability, MDPI, vol. 11(11), pages 1-30, May.
    17. Ferenc Kalmár & Tünde Kalmár, 2020. "Thermal Comfort Aspects of Solar Gains during the Heating Season," Energies, MDPI, vol. 13(7), pages 1-15, April.
    18. Saurbayeva, Assemgul & Memon, Shazim Ali & Kim, Jong, 2023. "Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones," Energy, Elsevier, vol. 278(PB).
    19. Axaopoulos, Ioannis & Axaopoulos, Petros & Gelegenis, John, 2014. "Optimum insulation thickness for external walls on different orientations considering the speed and direction of the wind," Applied Energy, Elsevier, vol. 117(C), pages 167-175.
    20. Giorgio Baldinelli & Agnieszka Lechowska & Francesco Bianchi & Jacek Schnotale, 2020. "Sensitivity Analysis of Window Frame Components Effect on Thermal Transmittance," Energies, MDPI, vol. 13(11), pages 1-12, June.

    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:rensus:v:151:y:2021:i:c:s1364032121008558. 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/600126/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.