Increasing population growth and rapid industrial development have become the main factors for increasing energy consumption. The increase in energy consumption increases the greenhouse gases released into the environment. The development of high energy efficiency equipment and energy optimisation tools and methodologies have been introduced to tackle the problem of harvesting renewable energy. Total Site Heat Integration (TSHI) is one of the energy optimisation methodologies applied in the industrial sector for site-wide function, which has proven to reduce energy consumption by analysing the result. The TSHI keeps being used by researchers to improve heat energy optimisation across individual processes until it covers the Locally Integrated Energy Sectors (LIES) concept. In this research, the TSHI targeting methodology is extended to consider the logistic of the process plants, known as the Spatial Utility Problem Table Algorithm (SUPTA). Steam headers are flowing in one direction. The plant location affects the entry point of steam generation and exit points of the steam consuming process. Steam generated from the downstream of the headers would need an additional reverse flow pipeline for sending it to the other plant located upstream of the pipeline. The energy cascade is done based on the spatial location, from the utility plant to the farthest process plant in the system. This spatial TSHI targeting methodology could be used for simultaneous targeting and design of site utility distribution system, which is beneficial for considering heat loss and pressure drop. A case study shows that the conventional TSHI and the novel SUPTA methodologies produce the same energy targetting result. However, it is shown that reverse flow pipelines increase threefold when the location of the utility plant change.
