IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v172y2019icp892-912.html
   My bibliography  Save this article

Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit

Author

Listed:
  • Shen, Pengyuan
  • Braham, William
  • Yi, Yunkyu
  • Eaton, Eric

Abstract

A method of fast multi-objective optimization and decision-making support for building retrofit planning is developed, and lifecycle cost analysis method taking into account of future climate condition is used in evaluating the retrofit performance. In order to resolve the optimization problem in a fast manner with recourse to non-dominate sorting differential evolution algorithm, the simplified hourly dynamic simulation modeling tool SimBldPy is used as the simulator for objective function evaluation. Moreover, the generated non-dominated solutions are treated and rendered by a layered scheme using agglomerative hierarchical clustering technique to make it more intuitive and sense making during the decision-making process as well as to be better presented.

Suggested Citation

  • Shen, Pengyuan & Braham, William & Yi, Yunkyu & Eaton, Eric, 2019. "Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit," Energy, Elsevier, vol. 172(C), pages 892-912.
    • Handle: RePEc:eee:energy:v:172:y:2019:i:c:p:892-912
    DOI: 10.1016/j.energy.2019.01.164
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421930180X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.01.164?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. Chantrelle, Fanny Pernodet & Lahmidi, Hicham & Keilholz, Werner & Mankibi, Mohamed El & Michel, Pierre, 2011. "Development of a multicriteria tool for optimizing the renovation of buildings," Applied Energy, Elsevier, vol. 88(4), pages 1386-1394, April.
    2. Shen, Pengyuan & Braham, William & Yi, Yunkyu, 2018. "Development of a lightweight building simulation tool using simplified zone thermal coupling for fast parametric study," Applied Energy, Elsevier, vol. 223(C), pages 188-214.
    3. Giuliano, Genevieve & Small, Kenneth A., 1991. "Subcenters in the Los Angeles Region," University of California Transportation Center, Working Papers qt6ts0t95w, University of California Transportation Center.
    4. Shen, Pengyuan & Lior, Noam, 2016. "Vulnerability to climate change impacts of present renewable energy systems designed for achieving net-zero energy buildings," Energy, Elsevier, vol. 114(C), pages 1288-1305.
    5. Wu, Raphael & Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2017. "Multiobjective optimisation of energy systems and building envelope retrofit in a residential community," Applied Energy, Elsevier, vol. 190(C), pages 634-649.
    6. Xu, Peng & Huang, Yu Joe & Miller, Norman & Schlegel, Nicole & Shen, Pengyuan, 2012. "Impacts of climate change on building heating and cooling energy patterns in California," Energy, Elsevier, vol. 44(1), pages 792-804.
    7. Giuliano, Genevieve & Small, Kenneth A., 1991. "Subcenters in the Los Angeles region," Regional Science and Urban Economics, Elsevier, vol. 21(2), pages 163-182, July.
    8. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 241-254, September.
    9. Shen, Pengyuan & Braham, William & Yi, Yunkyu, 2019. "The feasibility and importance of considering climate change impacts in building retrofit analysis," Applied Energy, Elsevier, vol. 233, pages 254-270.
    10. Tadesse, Mahlet G. & Sha, Naijun & Vannucci, Marina, 2005. "Bayesian Variable Selection in Clustering High-Dimensional Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 602-617, June.
    11. Yoza, Akihiro & Yona, Atsushi & Senjyu, Tomonobu & Funabashi, Toshihisa, 2014. "Optimal capacity and expansion planning methodology of PV and battery in smart house," Renewable Energy, Elsevier, vol. 69(C), pages 25-33.
    12. Robert Thorndike, 1953. "Who belongs in the family?," Psychometrika, Springer;The Psychometric Society, vol. 18(4), pages 267-276, December.
    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. Ma, Dingyuan & Li, Xiaodong & Lin, Borong & Zhu, Yimin, 2023. "An intelligent retrofit decision-making model for building program planning considering tacit knowledge and multiple objectives," Energy, Elsevier, vol. 263(PB).
    2. 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.
    3. Luo, Xiaojun & Oyedele, Lukumon O., 2022. "Integrated life-cycle optimisation and supply-side management for building retrofitting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    4. Qu, Ke & Chen, Xiangjie & Wang, Yixin & Calautit, John & Riffat, Saffa & Cui, Xin, 2021. "Comprehensive energy, economic and thermal comfort assessments for the passive energy retrofit of historical buildings - A case study of a late nineteenth-century Victorian house renovation in the UK," Energy, Elsevier, vol. 220(C).
    5. Davidson, Eleni & Schwartz, Yair & Williams, Joe & Mumovic, Dejan, 2024. "Resilience of the higher education sector to future climates: A systematic review of predicted building energy performance and modelling approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    6. Sheng-Yuan Wang & Kyung-Tae Lee & Ju-Hyung Kim, 2022. "Green Retrofitting Simulation for Sustainable Commercial Buildings in China Using a Proposed Multi-Agent Evolutionary Game," Sustainability, MDPI, vol. 14(13), pages 1-32, June.
    7. Pajek, Luka & Košir, Mitja, 2021. "Strategy for achieving long-term energy efficiency of European single-family buildings through passive climate adaptation," Applied Energy, Elsevier, vol. 297(C).
    8. Wang, Yuhao & Qu, Ke & Chen, Xiangjie & Zhang, Xingxing & Riffat, Saffa, 2022. "Holistic electrification vs deep energy retrofits for optimal decarbonisation pathways of UK dwellings: A case study of the 1940s’ British post-war masonry house," Energy, Elsevier, vol. 241(C).
    9. Pengying Wang & Shuo Zhang, 2022. "Retrofitting Strategies Based on Orthogonal Array Testing to Develop Nearly Zero Energy Buildings," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    10. Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof & Allan, James & Hoffmann, Volker H., 2022. "MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits," Applied Energy, Elsevier, vol. 314(C).
    11. Richarz, Jan & Henn, Sarah & Osterhage, Tanja & Müller, Dirk, 2022. "Optimal scheduling of modernization measures for typical non-residential buildings," Energy, Elsevier, vol. 238(PA).
    12. Shen, Pengyuan & Yang, Biao, 2020. "Projecting Texas energy use for residential sector under future climate and urbanization scenarios: A bottom-up method based on twenty-year regional energy use data," Energy, Elsevier, vol. 193(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. Jae Ik Kim & Chang Hwan Yeo & Jin-Hwi Kwon, 2014. "Spatial change in urban employment distribution in Seoul metropolitan city: clustering, dispersion and general dispersion," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(3), pages 355-372, November.
    2. de Bellefon, Marie-Pierre & Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent & Gorin, Clément, 2021. "Delineating urban areas using building density," Journal of Urban Economics, Elsevier, vol. 125(C).
    3. Eran Feitelson, 2001. "Malicious Siting or Unrecognised Processes? A Spatio-temporal Analysis of Environmental Conflicts in Tel-Aviv," Urban Studies, Urban Studies Journal Limited, vol. 38(7), pages 1143-1159, June.
    4. Ivan Muñiz & Anna Galindo & Miguel Angel García, 2005. "Descentralisation, Integration and polycentrism in Barcelona," Working Papers wpdea0512, Department of Applied Economics at Universitat Autonoma of Barcelona.
    5. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    6. McMillen, Daniel P. & Smith, Stefani C., 2003. "The number of subcenters in large urban areas," Journal of Urban Economics, Elsevier, vol. 53(3), pages 321-338, May.
    7. Pierre Dessemontet & Vincent Kaufmann & Christophe Jemelin, 2010. "Switzerland as a Single Metropolitan Area? A Study of its Commuting Network," Urban Studies, Urban Studies Journal Limited, vol. 47(13), pages 2785-2802, November.
    8. Blanca Arellano & Josep Roca, 2012. "Urban sprawl in megacities: Is it an unsustainable model?," ERES eres2012_161, European Real Estate Society (ERES).
    9. Chunil Kim & Choongik Choi, 2019. "Towards Sustainable Urban Spatial Structure: Does Decentralization Reduce Commuting Times?," Sustainability, MDPI, vol. 11(4), pages 1-28, February.
    10. Vicente Romero de à vila Serrano, 2019. "The Intrametropolitan Geography of Knowledge-Intensive Business Services (KIBS): A Comparative Analysis of Six European and U.S. City-Regions," Economic Development Quarterly, , vol. 33(4), pages 279-295, November.
    11. McDonald, John F. & McMillen, Daniel P., 2000. "Employment Subcenters and Subsequent Real Estate Development in Suburban Chicago," Journal of Urban Economics, Elsevier, vol. 48(1), pages 135-157, July.
    12. Edward L. Glaeser & Matthew E. Kahn, 2001. "Decentralized Employment and the Transformation of the American City," Harvard Institute of Economic Research Working Papers 1912, Harvard - Institute of Economic Research.
    13. Modarres, Ali, 2003. "Polycentricity and transit service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 841-864, December.
    14. Hashem Dadashpoor & Neda Malekzadeh & Sadegh Saeidishirvan, 2023. "A typology of metropolitan spatial structure: a systematic review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 13667-13693, December.
    15. Jaume Masip Tresserra, 2012. "Identifying the Employment and Population Centers at regional and metropolitan scale: The Case of Catalonia and Barcelona," ERSA conference papers ersa12p70, European Regional Science Association.
    16. Zhenhua Chen & Laurie A. Schintler, 2023. "Rediscovering regional science: Positioning the field's evolving location in science and society," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 617-642, June.
    17. Christian L. Redfearn, 2007. "Determinacy in Urban Form: Fixed Investment & Path Dependence in Urban Areas," Working Paper 8559, USC Lusk Center for Real Estate.
    18. Yue, Wenze & Wang, Tianyu & Liu, Yong & Zhang, Qun & Ye, Xinyue, 2019. "Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage," Land Use Policy, Elsevier, vol. 88(C).
    19. Joan Carles Martori & Rafa Madariaga & Ramon Oller, 2016. "Real estate bubble and urban population density: six Spanish metropolitan areas 2001–2011," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 369-392, March.
    20. Carlos Marmolejo Duarte & Carlos Aguirre Nuñez & Eduardo Chica Mejia & Claudia Perez Prieto & Jaume Masip Tresserra, 2011. "Polycentrism in the Spanish metropolitan system: an analysis for 7 metro areas," ERSA conference papers ersa11p119, European Regional Science Association.

    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:172:y:2019:i:c:p:892-912. 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.