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- 1. Abstract Crude oil distillation unit is considered as one of the most energy-intensive processes. As well as being one of the biggest sources of greenhouse emissions. Due to increasing energy prices and due to environmental regulations, the most economical and environmentally friendly solution was to eliminate fossil fuel combustion and maximise heat recovery (that is process to process heat exchange). Therefore, great deal of research has been devoted to enhance crude oil heat exchanger network (HEN). This project discusses new design methodology for crude oil HEN. The aim of the project is to improve the heat exchanger network in terms of total costs as well as environment protection. This proposed methodology comprises of establishing the heat exchanger network based on decomposition method. After that the network hot and cold streams are matched, heat exchangers are modelled. This project considers shell and tube heat exchanger and plate type heat exchanger simultaneously. An optimisation of the network is then performed to minimise the network total costs by varying the network minimum approach temperature. The proposed methodology been applied on a case study to examine its efficiency. The results showed 13.5% savings in total costs in the proposed network design over the conventional network design and 12% reduction of CO2 emissions from the base case design. Moreover, the optimisation of the network minimum approach temperature resulted in $20My-1 more savings in the network total costs and 13.6% more reduction in CO2 emissions. Finally sensitivity analysis was conducted to examine the effect of changes in capital and energy costs on the selection of the optimum network minimum approach temperature and the optimum total costs.
- 3. P a g e | 59 Appendices A. Network streams in Sprint A.1 The introduction of CDU unit streams to Sprint Software As to the unavailability of the product streams target temperatures, it can be seen in Figure A-1 that they were assumed to be 50.79 o C. In addition, in order to have a heat balance in the network, hot and cold utility streams were added to fulfil the network demand of heating and cooling requirement. Figure A-1 Stream data editor of Sprint A.2 The problem table algorithm Problem table was produced in all design cases to give the HEN minimum utility requirement for a specified Tmin. Figure A-2 shows problem table results for the base case. Figure A-2 Problem table results in the base case