Optimum Scheduling Of Energy – Intensive Compressor Network Under Regulated Electricity Tariff

Sa’at, Muhammad Bazley (2020) Optimum Scheduling Of Energy – Intensive Compressor Network Under Regulated Electricity Tariff. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Compressed air is a major source of power transfer which has been used in various kind of application in industries. The example of application that widely used are heavy lifting and transports, tire inflation, dust removal, vacuum packaging, cutting, and slicing and many more. Compression air is a major source of energy transfer. Industries have been professional in their initial designs to incorporate details on their systems so that the air compressors can automatically analyse on operating status and output parameters to the compressor operators. Most of heavy industries used compressors network where it can work at higher pressure points than commercial industries. Therefore, it going to use at high pressure at certain time. Regarding to that, the application of incentive-based strategy is going to apply to minimize the runtime of compressor. The objective of this case study where to investigate the current relation between the operational and energy scheduling of energy intensive. Then, formulate an optimization model for scheduling of energy-intensive compressors network under regulated electricity tariff. From that, the energy and cost benefits of the proposed optimization model will be defined. By using General Algebraic Modeling System (GAMS) software the operational of air compressor can be optimizing which the data from the research such as start-up and shutdown compressor, minimum and maximum runtime, and change of connection line to maximize the demand and inventory level for every compressor unit is input into GAMS software. The software will generate all the equation and come out with the minimum total power cost after 21 days operation.

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