Combined heat and power (CHP) scheme and total site integration (TSI) are good options to improve thermal efficiency for industrial plants. Apart from the reduction of energy cost, they help to promote environment sustainability, that is, reduced CO2 emission. In this work, an optimisation framework for CHP, that is, automated targeting model (ATM), was extended for total site integration (TSI). TSI allows the recovery of energy from multiple processes in an industrial site through a central utility system. In the extended ATM, binary variables were added to allow the determination of energy content at each steam level from the TSI scheme. This enables the automated selection of CHP equipment, for example, boiler and turbine, so to make optimal use of excess energy in a TSI scheme. This is the main novelty in this revised ATM. A dimethyl ether (DME) plant case study is used for illustration. Several scenarios were analysed for the CHP scheme in the DME plant, utilising the TSI concept, such as maximum cogeneration potential, minimum total annualised cost, and maximum total net savings.
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