Reduction of Energy Intensity in a Hospital after Implementation of an Energy Management System Considering Consumer Fuzzy Preferences

Public service providers such as state hospitals are one of the major consumers of electrical energy and it is necessary to manage their consumption. In this study, considering consumer preferences and electricity price tariffs, a mathematical programming model has been presented to optimize electrical energy consumption of hospitals. Data for a set of devices utilized by a sample consumer have been gathered. After determining device specifications and consumer preferences, a scheduling model has been implemented. As the objectives of energy management system, three scenarios consist of peak energy minimization (load management), minimization of energy costs and combining the first and the second scenarios have been studied and analyzed. Finally, the energy intensity index has been assessed before and after optimization. The results showed that in the combined scenario that both objectives are considered simultaneously, greater reduction of energy intensity is observed.