Hospital energy demand forecasting for prioritisation during periods of constrained supply

Purpose: Sustaining healthcare operations without adequate energy capacity creates significant challenges, especially during periods of constrained supply. This research develops a clinical and non-clinical activity-based hospital model for electrical load prioritization supply.Design/methodology/approach: Discrete event modelling is adopted development the (HEM). The basis HEM business process mapping hospitals activities. prioritizes demand as Priority 1, 2 3; with 1 activities essential to survival patients, are critical that required after one four hours, 3 can run several hours electricity.Findings: was applied small, medium, large hospital. results demonstrate have highest demand, followed by activities, respectively all sizes. For medium hospitals, top three contributors lighting, HVAC, patient services. small hospital, it services, respectively.Research limitations/implications: specific but be modified other facilities.Practical implications: resolution down activity level, enables evaluate current practices optimization. It facilitates multiple supply scenarios, enabling management conduct feasibility studies based on available power optionsSocial Improved planning capital expenditure operational budgets reduces risk ensures consistent quality service. Originality/value: Current models limited, under A simple use proposed assist in