Shang, L., Dermisi, S., Choe, Y., Lee, H. W., & Min, Y. (2023). Assessing Office Building Marketability before and after the Implementation of Energy Benchmarking and Disclosure Policies—Lessons Learned from Major U.S. Cities. Sustainability (Basel, Switzerland), 15(11), 8883–. https://doi.org/10.3390/su15118883
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Abstract
An increasing number of U.S. cities require commercial/office properties to publicly disclose their energy performance due to the adoption of energy benchmarking and disclosure policies. This level of transparency provides an additional in-depth assessment of a building’s performance beyond a sustainability certification (e.g., Energy Star, LEED) and may lead less energy-efficient buildings to invest in energy retrofits, therefore improving their marketability. However, the research is scarce on assessing the impact of such policies on office building marketability. This study tries to fill this gap by investigating the impact of energy benchmarking policies on the performance of office buildings in four major U.S. cities (New York; Washington, D.C.; San Francisco; and Chicago). We use interrupted time series analysis (ITSA), while accounting for sustainability certification, public policy adoption, and property real estate performance. The results revealed that in some cities, energy-efficient buildings generally perform better than less energy-efficient buildings after the policy implementation, especially if they are Class A. The real estate performances of energy-efficient buildings also exhibited continuously increasing trends after the policy implementation. However, due to potentially confounding factors, further analysis is required to conclude the policy impacts on energy-efficient buildings are more positive than those on less energy-efficient buildings.
Keywords
building energy benchmarking and disclosure policies; building energy efficiency; office buildings; time series modeling
A new international research partnership aims to spark dialogue and learning through storytelling about sustainable and equitable urban development. Collaborators from five global cities have partnered to shift common practices of how stories of successful urban change are told and who tells them. The study involves three case study cities that are exemplars of sustainable and equitable development. Local collaborators include academics and their community-based partners in Belfast (Queen’s University), Northern Ireland, Belo Horizonte (Federal University of Minas Gerais Brazil…
[Re]Visioning the Ave: Students Devise Real-World Strategies for a Thriving, Accessible Neighborhood Hub was published on the College of Built Environments website, discussing the future of “The Ave.” The U-District Partnership (UDP)—a nonprofit organization worked with Teaching Affiliate David Blum and a diverse team of 16 urban planning graduate students through the process of assessing potential improvement strategies for the Ave in Winter 2022. Read more here.
CBE researchers worked with the Charles Pankow Foundation to develop a new Building Owner Assessment Tool (BOAT). Team members included CBE Dean Renée Cheng, FAIA; Associate Dean for Research Carrie Sturts Dossick, Ph.D, P.E.; and Laura Osburn, Ph.D. Other team members included Lingzi Wu, Ph.D. Daniel Dimitrov, and Xianxiang Sean Zhao. The tool was developed in partnership with the American Institute of Architects and the Integrated Project Delivery Alliance. The Building Owner Assessment Tool (BOAT): Helping You Understand Your Culture and Its…
Kim, Minju & Lee, Dongmin. (2023). Automated two-dimensional geometric model reconstruction from point cloud data for construction quality inspection and maintenance. Automation in Construction, 154. https://doi.org/10.1016/j.autcon.2023.105024.
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Abstract
Despite the availability of 3D digital models, 2D floor plans remain extensively used for quality inspection and maintenance as they offer firsthand information. While laser scanners enable efficient capture and reconstruction of real-world scenes, challenges arise in accurately extracting building geometry from laser scanning data due to the loss of geometric features. This paper describes a method for accurately reconstructing 2D geometric drawings of built facilities using laser scanning data. These techniques involve transforming the dimension of 3D data into 2D and displaying the registered data as pixels to extract solid lines that represent wall structures. By employing dimensionality transformation and pixelation techniques, the method supports reliable quality inspection and maintenance processes, overcoming the challenges of extracting precise geometry from laser scanning data. This paper contributes to the automated extraction of geometric features from point clouds and inspires the future development of fully automated 2D CAD and 3D BIM in alignment with Scan-to-BIM.
Yang Shen is a research engineer for the Carbon Leadership Forum at the University of Washington. Before joining CLF, he was a Postdoctoral Research Fellow in George Mason University focusing on multidisciplinary research such as Computer Vision/Deep Learning applications in the Built Environment. Yang got his PhD in Civil Engineering (Structural Engineering) from Texas A&M University. His Ph.D. research was tightly associated with building science, embodied carbon quantification/optimization, building operational energy simulation, parametric modeling, structural analysis, data analytics, and machine learning. He is passionate about using interdisciplinary studies to achieve climate change adaptation and mitigation.
Mel Chafart is a Researcher with the Carbon Leadership Forum where he is primarily focused on researching Whole Building Life Cycle Assessments. Prior to joining the CLF, Mel was a structural engineer at Buro Happold. There, he assisted in the design of steel and concrete structures in the US and abroad. He has worked on projects from concept design through construction administration. On the embodied carbon side, Mel has deep experience performing embodied carbon assessments and helped Buro Happold build out their portfolio of benchmarked projects. Outside of work, he enjoys watching soccer and baseball, woodworking, gardening, and tinkering with Raspberry Pis.
Milad Ashtiani is a Building and Materials Researcher with Carbon Leadership Forum. Milad is a civil engineer who received his PhD from the University of Washington in the summer of 2022. Milad is responsible for the execution of research and analysis, development of guidance documents and educational resources, and outreach across the design community to improve the quality, accuracy, and effectiveness of building performance tools, methods and data that address embodied carbon. As a building and materials researcher, Ashtiani works collaboratively with CLF’s internal research team as well as with architecture and engineering firms and research consortiums across North America with a focus on building performance, computation, embodied carbon assessments, and life cycle assessment (LCA).
Architecture 231: Making and Meaning was featured in a UW Today news story. The benches from this class can be seen around Gould and Architecture Hall. See the full story here.
The Urban Infrastructure Lab researchers have released a report on a Cascadia region high-speed rail project. College of Built Environments faculty Jan Whittington and Qing Shen were authors on the report, along with 3 Interdisciplinary Ph.D. in Urban Design and Planning students (Siman Ning, Haoyu Yue, and Chin-Wei Chen), and a Master of Urban Planning candidate (Richard McMichael). This report examines the successes and lessons learned from existing high-speed rail projects in Europe and Asia, including 50 hours of interviews…