PEAK LOAD REDUCTION AND ENERGY EFFICIENCY IN INDUSTRIAL POWER SUPPLY SYSTEMS

Abstract

The impact of peak load reduction on the energy efficiency of industrial power supply systems is evaluated using a computational model. The objective is to distinguish changes in maximum demand, process energy consumption, and load dependent network losses when a daily load profile is flattened. The input consists of six hypothetical four hour load intervals and does not represent measurements from an operating industrial facility. The method combines energy balance calculations, load factor assessment, and resistive loss calculations for an equivalent balanced three phase feeder with constant voltage and power factor. A load shifting scenario preserves daily process energy and assumes an unchanged production output. Maximum demand decreases from 2000 to 1600 kilowatts, while the load factor increases from 0.65 to 0.8125. Daily process consumption remains at 31200 kilowatt hours. Under the assumed feeder parameters, daily load dependent losses decrease from 55.11 to 51.46 kilowatt hours. A twenty percent reduction in maximum demand therefore corresponds to approximately 0.012 percent savings in total incoming energy. These findings demonstrate why relative loss reduction and overall energy savings require separate reporting. An illustrative cost calculation uses an assumed flat electricity price rather than an actual industrial tariff. The numerical findings apply only to the specified model and cannot establish savings for a particular enterprise. Implementation requires measured demand profiles, verified process flexibility, and consistent accounting boundaries. The proposed approach supports preliminary technical comparison and helps identify the information needed for subsequent industrial validation.