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    Integrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance Simulation

    Source: ASME Journal of Engineering for Sustainable Buildings and Cities:;2024:;volume( 006 ):;issue: 001::page 14501-1
    Author:
    di Stefano, Andrea Giuseppe
    ,
    Ruta, Matteo
    ,
    Masera, Gabriele
    ,
    Hoque, Simi
    DOI: 10.1115/1.4066565
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As urbanization intensifies, cities are key contributors to energy consumption and carbon emissions, accounting for a significant portion of global energy use and CO2 emissions. This paper introduces a systematic approach to support the development of urban projects with minimized operational carbon footprints through the integration of data-driven building performance simulation (BPS) tools in early-stage design. Emphasizing the necessity for a collaborative effort among designers, policymakers, and other stakeholders, we discuss the evolution of BPS toward incorporating data-driven tools for energy need reduction and informed decision-making. Despite the proliferation of modeling methods and data-related challenges, we present a theoretical workflow, supported by interactions with design firms in the US and European Union (EU) through interviews. This structured approach, demonstrating adaptability and scalability across urban contexts, foregrounds the potential for future data-driven integration in design practices. Grounded in theoretical concepts and preliminary real-world insights, our work emphasizes the transformation of standard activities toward data-driven processes, showcasing the crucial role of practical experience in advancing sustainable, low-carbon urban development.
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      Integrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance Simulation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305343
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    contributor authordi Stefano, Andrea Giuseppe
    contributor authorRuta, Matteo
    contributor authorMasera, Gabriele
    contributor authorHoque, Simi
    date accessioned2025-04-21T10:01:38Z
    date available2025-04-21T10:01:38Z
    date copyright10/9/2024 12:00:00 AM
    date issued2024
    identifier issn2642-6641
    identifier otherjesbc_6_1_014501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305343
    description abstractAs urbanization intensifies, cities are key contributors to energy consumption and carbon emissions, accounting for a significant portion of global energy use and CO2 emissions. This paper introduces a systematic approach to support the development of urban projects with minimized operational carbon footprints through the integration of data-driven building performance simulation (BPS) tools in early-stage design. Emphasizing the necessity for a collaborative effort among designers, policymakers, and other stakeholders, we discuss the evolution of BPS toward incorporating data-driven tools for energy need reduction and informed decision-making. Despite the proliferation of modeling methods and data-related challenges, we present a theoretical workflow, supported by interactions with design firms in the US and European Union (EU) through interviews. This structured approach, demonstrating adaptability and scalability across urban contexts, foregrounds the potential for future data-driven integration in design practices. Grounded in theoretical concepts and preliminary real-world insights, our work emphasizes the transformation of standard activities toward data-driven processes, showcasing the crucial role of practical experience in advancing sustainable, low-carbon urban development.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIntegrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance Simulation
    typeJournal Paper
    journal volume6
    journal issue1
    journal titleASME Journal of Engineering for Sustainable Buildings and Cities
    identifier doi10.1115/1.4066565
    journal fristpage14501-1
    journal lastpage14501-7
    page7
    treeASME Journal of Engineering for Sustainable Buildings and Cities:;2024:;volume( 006 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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