Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus

This paper analyzes the intelligent use of time-varying electrical load via developing efficient energy utilization patterns using demand-side management (DSM) strategies. This approach helps distribution utilities decrease maximum demand and electrical energy billing costs. A case study of DSM implementation of electric energy utility for an educational building Alagappa Chettiar Government College of Engineering and Technology (ACGCET) campus was simulated. The new optimum energy load model was established for peak and off-peak periods from the system's existing load profile using peak clipping and load shifting DSM techniques. The result reflects a significant reduction in maximum demand from 189 kW to 170 kW and a reduction in annual electricity billing cost from $11,340 to $10,200 (approximately 10%) in the upgraded system. This work highlights the importance of time of day (TOD) tariff structure consumers that aid reduction in their distribution system's maximum demand and demand charges.

Automated summary

This study analyzes the intelligent use of time-varying electrical load through demand-side management (DSM) strategies, focusing on an educational building energy utility. By developing efficient energy utilization patterns and implementing DSM techniques, the study successfully reduces maximum demand and electricity billing costs. The importance of time-of-day (TOD) tariff structure is emphasized in aiding the reduction of maximum demand and demand charges in the distribution system.