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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
An Approach to Optimize Multi-family Residence HVAC Systems Using Digitalization
Author(s)
Bilal Faye, Osman Ahmed
Andrew Rodger
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DOI:10.17265/2328-2185/2023.04.001
Affiliation(s)
Pacific Northwest National Laboratory (PNNL), USA
AceIoT Solutions, USA
ABSTRACT
As mentioned by National Geographic (2017), 70% of world’s population is expected to live in large apartment buildings by 2050. Today, buildings in cities generate 30% of world’s greenhouse gas emission or GHG (National Geographic, 2017). Major urban centers are committed to reducing greenhouse gases by 80% by 2050 (IEA, 2021). However, achieving such goals in rental properties is not easy. Landlords are hesitant to use high-efficiency technologies because, typically, tenants pay the utilities bill. However, that situation is rapidly changing. For example, New York City like other US cities, is considering a carbon cap on all large buildings (Local Law 97, 2019). That means landlords will pay a carbon penalty if the building’s carbon footprint exceeds certain threshold no matter who uses that carbon. The Pacific Northwest National Laboratory (PNNL) has received funds from DOE (US Department of Energy) with the collaboration of a commercial partner to address emerging energy efficiency market opportunity in multi-family or rental housing as discussed above. It has partnered with a large national real estate owner in order to test a novel energy optimization method at a rental property in Tempe, Arizona. By using a seamless-integrated method of acquiring building’s operating data, the optimization approach essentially resets setpoints of different energy consuming equipment such as chillers, boilers, pumps, and fans. Data-driven optimization approach is pragmatic and easily transferrable to other buildings. The authors shall share the problem background, technical approach, and preliminary results.
KEYWORDS
HVAC, optimization, IoT, digitalization, multi-family housing, commercial buildings
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