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Articles by Adzuieen Nordin
Total Records ( 2 ) for Adzuieen Nordin
  S. Amear , S. Ariffin , Adzuieen Nordin , Norsheila Buyamin , M. Amin and A. Majid
  The research presents a study on chillers performance at a gas district plant during peak and off peak periods for campus cooling. The plant is designed to produce electrical power and chilled water from a Co-generation System and supply the chilled water and electricity to the campus. Since the campus chilled water supply depends solely from the chillers operations, the status of the performance of the chillers need to be continuously evaluated. Using Coefficient of Performance (COP), the performances for both the absorption and electric chillers were analysed. This COP analysis is the follow up from the earlier evaluation which was done in the year 2005. Results of the analysis indicate that there is a decrease in performance for the year 2011 in comparison to the year 2005. In terms of chilled water production the performance decreases approximately by 5%. While in terms of coefficient of performance there is a decrease by 43% from the year 2005 for the absorption chillers and 32% increase for Electric the chillers.
  Adzuieen Nordin and Mohd Amin Abd Majid
  Thermal Energy Storage (TES) system is commonly installed at District Cooling plant for storing of chilled water (CHW). The stored CHW is used to support requirement of chilled water during day time. Charging of the TES tank by the electrical chillers (EC) is done during off-peak hours. For the case of TES tank at Universiti Teknologi PETRONAS, the charging of TES tank is done from 6 p.m. to 6 am. To ensure optimum TES charging, the operations of EC need to adhere to an optimum scheduling strategy. To address this requirement, an assignment model using transportation model is proposed. The model is formulated as a zero-one programming model. Spreadsheet is used for solving the model. Results from analysis indicate that maximum production of chilled water depends on the generating capacity of the EC. Results from three case studies indicate that all EC were operated at below rated capacity. Based on the weekly data, the maximum operated capacities of EC1, EC2, EC3 and EC4 are 308, 288, 295 and 270 RT, respectively. This is below rated capacity 325 RT of the EC. The outcome is that TES is not charged to full capacity during off peak period. From the sensitivity analysis using the proposed model, TES could be fully charged during the off peak period. An example, if three of EC are operated to full capacities for specified off peak period, TES could be fully charged. The model could be useful for the UTP District Cooling plant to schedule EC for charging of TES during off peak hours.
 
 
 
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