IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i10p3655-d175205.html
   My bibliography  Save this article

Building Retrofit Measures and Design: A Probabilistic Approach for LCA

Author

Listed:
  • Claudio Favi

    (Department of Engineering and Architecture, Parco Area delle Scienze 181/A, Università di Parma, 43124 Parma, Italy)

  • Elisa Di Giuseppe

    (Department of Building, Civil Engineering and Architecture, Università Politecnica delle Marche, via Brecce Bianche 12, 60131 Ancona, Italy)

  • Marco D’Orazio

    (Department of Building, Civil Engineering and Architecture, Università Politecnica delle Marche, via Brecce Bianche 12, 60131 Ancona, Italy)

  • Marta Rossi

    (Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, via Brecce Bianche 12, 60131 Ancona, Italy)

  • Michele Germani

    (Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, via Brecce Bianche 12, 60131 Ancona, Italy)

Abstract

Green building design and architecture have become widespread tenets in the development of sustainable buildings. In this context, the use of sustainable materials and the awareness of resource/energy consumption are strategic aspects to consider for the improvement of building performances. This paper presents a new and structured approach to address uncertainty and sensitivity analysis in Life Cycle Assessment (LCA) to support the decision-making process in building renovation. This “probabilistic” approach to LCA allows for the obtaining of results expressed as ranges of environmental impacts and for alternative solutions, offering an idea of the meaning of input parameters’ uncertainties and their influence on the result. The approach includes (i) the assessment of inputs’ uncertainties (represented by Probability Density Functions—PDF); (ii) the data sampling; and (iii) the uncertainty propagation (Monte Carlo method). Variance decomposition techniques have been used to sample inputs’ PDFs and assess their impact on the LCA result distribution (sensitivity analysis). The methodology application is illustrated through a case study where three building retrofit measures were assessed. Results provide an insight about the uncertainties of LCA indicators in terms of climate change and nonrenewable energy. The input parameters related to the use phase are confirmed as the most influential in building LCA.

Suggested Citation

  • Claudio Favi & Elisa Di Giuseppe & Marco D’Orazio & Marta Rossi & Michele Germani, 2018. "Building Retrofit Measures and Design: A Probabilistic Approach for LCA," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3655-:d:175205
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/10/3655/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/10/3655/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christofer Skaar & Nathalie Labonnote & Klodian Gradeci, 2018. "From Zero Emission Buildings (ZEB) to Zero Emission Neighbourhoods (ZEN): A Mapping Review of Algorithm-Based LCA," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    2. Chau, C.K. & Leung, T.M. & Ng, W.Y., 2015. "A review on Life Cycle Assessment, Life Cycle Energy Assessment and Life Cycle Carbon Emissions Assessment on buildings," Applied Energy, Elsevier, vol. 143(C), pages 395-413.
    3. Seungjun Roh & Sungho Tae & Rakhyun Kim, 2018. "Analysis of Embodied Environmental Impacts of Korean Apartment Buildings Considering Major Building Materials," Sustainability, MDPI, vol. 10(6), pages 1-17, May.
    4. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    5. de Vries, Bert J.M. & van Vuuren, Detlef P. & Hoogwijk, Monique M., 2007. "Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach," Energy Policy, Elsevier, vol. 35(4), pages 2590-2610, 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. Yohei Endo & Hideki Takamura, 2021. "Evaluation of Life-Cycle Assessment Analysis: Application to Restoration Projects and New Construction in Alpine Climate, Japan," Sustainability, MDPI, vol. 13(7), pages 1-19, March.
    2. Marco D’Orazio & Elisa Di Giuseppe & Marta Carosi, 2023. "Life Cycle Assessment of Mortars with Fine Recycled Aggregates from Industrial Waste: Evaluation of Transports Impact in the Italian Context," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    3. Xabat Oregi & Rufino Javier Hernández & Patxi Hernandez, 2020. "Environmental and Economic Prioritization of Building Energy Refurbishment Strategies with Life-Cycle Approach," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
    4. Abdulhameed Babatunde Owolabi & Abdullahi Yahaya & Hong Xian Li & Dongjun Suh, 2023. "Analysis of the Energy Performance of a Retrofitted Low-Rise Residential Building after an Energy Audit," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    5. Rafael Campamà Pizarro & Ricardo Bernardo & Maria Wall, 2023. "Streamlining Building Energy Modelling Using Open Access Databases—A Methodology towards Decarbonisation of Residential Buildings in Sweden," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    6. Andrea Urbinati & Davide Chiaroni & Paolo Maccarrone & Antonio Messeni Petruzzelli & Federico Frattini, 2022. "A multidimensional scorecard of KPIs for retrofit measures of buildings: A systematic literature review," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(6), pages 1968-1979, November.
    7. Elisa Di Giuseppe & Marco D’Orazio & Guangli Du & Claudio Favi & Sébastien Lasvaux & Gianluca Maracchini & Pierryves Padey, 2020. "A Stochastic Approach to LCA of Internal Insulation Solutions for Historic Buildings," Sustainability, MDPI, vol. 12(4), pages 1-35, February.
    8. Antonio Dominguez-Delgado & Helena Domínguez-Torres & Carlos-Antonio Domínguez-Torres, 2020. "Energy and Economic Life Cycle Assessment of Cool Roofs Applied to the Refurbishment of Social Housing in Southern Spain," Sustainability, MDPI, vol. 12(14), pages 1-35, July.
    9. Nima Pirhadi & Xiaowei Tang & Qing Yang & Fei Kang, 2018. "A New Equation to Evaluate Liquefaction Triggering Using the Response Surface Method and Parametric Sensitivity Analysis," Sustainability, MDPI, vol. 11(1), pages 1-24, December.
    10. Galimshina, Alina & Moustapha, Maliki & Hollberg, Alexander & Padey, Pierryves & Lasvaux, Sébastien & Sudret, Bruno & Habert, Guillaume, 2022. "Bio-based materials as a robust solution for building renovation: A case study," Applied Energy, Elsevier, vol. 316(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. Golden Odey & Bashir Adelodun & Sang-Hyun Kim & Kyung-Sook Choi, 2021. "Status of Environmental Life Cycle Assessment (LCA): A Case Study of South Korea," Sustainability, MDPI, vol. 13(11), pages 1-30, June.
    2. 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.
    3. Kriegler, Elmar, 2011. "Comment," Energy Economics, Elsevier, vol. 33(4), pages 594-596, July.
    4. Burek, Jasmina & Nutter, Darin W., 2019. "A life cycle assessment-based multi-objective optimization of the purchased, solar, and wind energy for the grocery, perishables, and general merchandise multi-facility distribution center network," Applied Energy, Elsevier, vol. 235(C), pages 1427-1446.
    5. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    6. Mahtta, Richa & Joshi, P.K. & Jindal, Alok Kumar, 2014. "Solar power potential mapping in India using remote sensing inputs and environmental parameters," Renewable Energy, Elsevier, vol. 71(C), pages 255-262.
    7. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
    8. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    9. Kokaraki, Nikoleta & Hopfe, Christina J. & Robinson, Elaine & Nikolaidou, Elli, 2019. "Testing the reliability of deterministic multi-criteria decision-making methods using building performance simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 991-1007.
    10. Köberle, Alexandre C. & Gernaat, David E.H.J. & van Vuuren, Detlef P., 2015. "Assessing current and future techno-economic potential of concentrated solar power and photovoltaic electricity generation," Energy, Elsevier, vol. 89(C), pages 739-756.
    11. Sierra-Pérez, Jorge & Rodríguez-Soria, Beatriz & Boschmonart-Rives, Jesús & Gabarrell, Xavier, 2018. "Integrated life cycle assessment and thermodynamic simulation of a public building’s envelope renovation: Conventional vs. Passivhaus proposal," Applied Energy, Elsevier, vol. 212(C), pages 1510-1521.
    12. Yuanxin Liu & FengYun Li & Yi Wang & Xinhua Yu & Jiahai Yuan & Yuwei Wang, 2018. "Assessing the Environmental Impact Caused by Power Grid Projects in High Altitude Areas Based on BWM and Vague Sets Techniques," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    13. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    14. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    15. Patricia González-Vallejo & Radu Muntean & Jaime Solís-Guzmán & Madelyn Marrero, 2020. "Carbon Footprint of Dwelling Construction in Romania and Spain. A Comparative Analysis with the OERCO2 Tool," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    16. Batidzirai, B. & Smeets, E.M.W. & Faaij, A.P.C., 2012. "Harmonising bioenergy resource potentials—Methodological lessons from review of state of the art bioenergy potential assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6598-6630.
    17. 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.
    18. Hanli Chen & Chunmei Lu, 2023. "Research on the Spatial Effect and Threshold Characteristics of New-Type Urbanization on Carbon Emissions in China’s Construction Industry," Sustainability, MDPI, vol. 15(22), pages 1-26, November.
    19. Mostafaeipour, Ali, 2010. "Productivity and development issues of global wind turbine industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1048-1058, April.
    20. Silva Herran, Diego & Dai, Hancheng & Fujimori, Shinichiro & Masui, Toshihiko, 2016. "Global assessment of onshore wind power resources considering the distance to urban areas," Energy Policy, Elsevier, vol. 91(C), pages 75-86.

    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:gam:jsusta:v:10:y:2018:i:10:p:3655-:d:175205. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.