Work

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

Year: 2024

Type: article

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.

Source: ASME Journal of Engineering for Sustainable Buildings and Cities

DOI: 10.1115/1.4066565

Authors: Andrea Giuseppe di Stefano, Matteo Ruta, Gabriele Masera, Simi Hoque

Institutions: Drexel University, Politecnico di Milano

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Climate action, Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W4402791476