@inproceedings{39fac0dcfd734ecdb55680a3f46fc32d,
title = "Shaping Urban Block Building Form to Correlate PV Production with Electricity Demand",
abstract = "Incorporating building-integrated photovoltaic (BIPV) systems at the urban level can reduce emissions and increase clean electricity generation. However, these systems face challenges in matching electricity demand and supply, particularly during peak demand. A proposed solution is optimizing the orientation of BIPV panels, but this can be challenging due to limited space available for panels, self-shading, and difficulties integrating panels into the building fa{\c c}ade. This paper proposes a framework that simultaneously optimizes both BIPV orientations and building forms while considering the energy demand of the urban block. The approach is demonstrated through a case study of six mid-rise apartment buildings in California. The process sought to minimize overgeneration of energy while minimizing the system payback period. Depending on designer priorities, quality designs can have a payback period ranging from 0 to 18 years and overgeneration between 0% and 30%. The methodology offers a performance-driven design optimization technique for BIPV systems at the urban level.",
author = "Ali Alhussain and Yumna Kurdi and Somayeh Asadi and Nathan Brown",
note = "Publisher Copyright: {\textcopyright} ASCE 2023.All rights reserved.; ASCE International Conference on Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability, i3CE 2023 ; Conference date: 25-06-2023 Through 28-06-2023",
year = "2024",
doi = "10.1061/9780784485248.028",
language = "English (US)",
series = "Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "228--236",
editor = "Yelda Turkan and Joseph Louis and Fernanda Leite and Semiha Ergan",
booktitle = "Computing in Civil Engineering 2023",
address = "United States",
}