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Integrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance Simulation
Journal article   Peer reviewed

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

Andrea Giuseppe di Stefano, Matteo Ruta, Gabriele Masera and Simi Hoque
Journal of engineering for sustainable buildings and cities, pp 1-8
16 Sep 2024
DOI: https://doi.org/10.1115/1.4066565
url
https://doi.org/10.1115/1.4066565View
Published, Version of Record (VoR) Open

Abstract

Energy simulation Environment Cities Integrated Design Optimal Designs Sustainability
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 towards 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 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 towards data-driven processes, showcasing the crucial role of practical experience in advancing sustainable, low-carbon urban development.

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