Abstract
The energy and power sectors are critical sectors, especially as energy demands rise every year. Increasing energy demand will lead to an increase in fuel consumption and CO2 emissions. Improving the thermal efficiency of conventional power systems is one way to reduce fuel consumption and carbon emissions. The previous study has developed a new methodology called Trigeneration System Cascade Analysis (TriGenSCA) to optimise the sizing of power, heating, and cooling in a trigeneration system for a Total Site system. However, the method only considered a single period on heating and cooling demands. In industrial applications, there are also batches, apart from continuous plants. The multi-period is added in the analysis to meet the time constraints in batch plants. This paper proposes the development of an optimal trigeneration system based on the Pinch Analysis (PA) methodology by minimizing cooling, heating, and power requirements, taking into account energy variations in the total site energy system. The procedure involves seven steps, which include data extraction, identification of time slices, Problem Table Algorithm, Multiple Utility Problem Table Algorithm, Total Site Problem Table Algorithm, TriGenSCA, and Trigeneration Storage Cascade Table (TriGenSCT). An illustrative case study is constructed by considering the trigeneration Pressurized Water Reactor Nuclear Power Plant (PWR NPP) and four industrial plants in a Total Site system. Based on the case study, the base fuel of the trigeneration PWR NPP requires 14 t of Uranium-235 to an average demand load of 93 GWh/d. The results of trigeneration PWR NPP with and without the integration of the Total Site system is compared and proven that trigeneration PWR NPP with integration is a suitable technology that can save up to 0.2% of the equivalent annual cost and 1.4% of energy compared to trigeneration PWR NPP without integration.
Highlights
The energy and power sectors have been very critical for the release of environmental emissions, due to every year rising energy demands
This paper considerably extends the insight-based numerical method developed by Jamaluddin et al [27] through the Trigeneration System Cascade Analysis (TriGenSCA) to assess the optimum size of utility in the trigeneration system for the Total Site Cooling, Heating, and Power (TSCHP)
Since the value of percentage change for power, Hybrid Power System (HPS), Lower Pressure Steam (LPS), Hot Water (HW), cooling water (CW), and chilled water (ChW) are larger than 0.05%, the calculation is repeated based on the new size of utilities in the trigeneration system
Summary
The energy and power sectors have been very critical for the release of environmental emissions, due to every year rising energy demands. Liew et al [38] extended the Total Site algorithmic method by including Time Slices to perform a utility targeting for a large-scale TSHI system in variable energy supply and demand. This paper proposes the development of an optimal trigeneration system based on the PA methodology by minimizing cooling, heating, and power requirements, taking into account energy variations in the total site energy system. Another important consideration is to determine the optimal sizing of the thermal storage systems that have not been catered in the previous work Implementation of this systematic approach may give users the benefit of identifying the optimal sizing and backup system needed for the trigeneration system as well as minimizing the power, heating, and cooling requirements of the utility system
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