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https://hdl.handle.net/10356/167790
Title: | Augmented intelligence for industrial chillers | Authors: | Thant, Hnin Wai | Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2023 | Publisher: | Nanyang Technological University | Source: | Thant, H. W. (2023). Augmented intelligence for industrial chillers. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167790 | Project: | B2297-221 | Abstract: | Air conditioning is widely used in industries, manufacturing and commercially. Also part of the heating, ventilation, and air conditioning (HVAC) system, chillers are the primary cooling source used to supply air conditioning to the area. With advancements in augmented intelligence, the capabilities of chiller systems can be improved. Better control and performance monitoring can be achieved through the application of algorithms and machine learning approaches. This will result in increased reliability, lower maintenance costs, and improved energy efficiency. The advantages and uses of augmented intelligence in industrial chillers will be discussed in the following sections, along with how it might influence the way these systems are run and maintained. | URI: | https://hdl.handle.net/10356/167790 | Schools: | School of Electrical and Electronic Engineering | Organisations: | Kaer Pte Ltd | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
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HninWaiThant_FYP Report.pdf Restricted Access | 1.69 MB | Adobe PDF | View/Open |
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