Integrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance SimulationSource: ASME Journal of Engineering for Sustainable Buildings and Cities:;2024:;volume( 006 ):;issue: 001::page 14501-1DOI: 10.1115/1.4066565Publisher: 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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contributor author | di Stefano, Andrea Giuseppe | |
contributor author | Ruta, Matteo | |
contributor author | Masera, Gabriele | |
contributor author | Hoque, Simi | |
date accessioned | 2025-04-21T10:01:38Z | |
date available | 2025-04-21T10:01:38Z | |
date copyright | 10/9/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 2642-6641 | |
identifier other | jesbc_6_1_014501.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4305343 | |
description 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Integrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance Simulation | |
type | Journal Paper | |
journal volume | 6 | |
journal issue | 1 | |
journal title | ASME Journal of Engineering for Sustainable Buildings and Cities | |
identifier doi | 10.1115/1.4066565 | |
journal fristpage | 14501-1 | |
journal lastpage | 14501-7 | |
page | 7 | |
tree | ASME Journal of Engineering for Sustainable Buildings and Cities:;2024:;volume( 006 ):;issue: 001 | |
contenttype | Fulltext |