Intelligent Industrial Energy Management for Reducing Manufacturing Power Consumption Through Continuous Energy Performance Optimization

Herlina Herlina (Universitas Sriwijaya)
Indriyani Indriyani (Sang Bumi Ruwa Jurai University)

Journal of Industrial Engineering and Management
Vol 1, No 3 (2023)

Industrial energy review requires measurements that keep total electricity use, production, demand, and area-level observations distinct. This study descriptively analyzes two supplied academic files: 12 monthly electricity and production records and eight factory-area before/after records. The monthly file totals 3,141,001 kWh and 13,218 tonnes of production. Dividing those totals produces an annual descriptive ratio of 237.631 kWh/ton. Supplied monthly specific energy consumption (SEC) ranges from 165.3 kWh/ton in September to 320.8 kWh/ton in October; the maximum supplied peak demand is 645 kW. The separate area file reports 480,411 kWh before and 392,084 kWh after, with reported savings of 88,327 kWh, or 18.386% of the before total. Factory lighting has the largest reported absolute saving, 20,843 kWh, and the largest reported percentage, 27%. Four source-derived figures display monthly energy and production, monthly SEC with the annual ratio reference, paired area electricity use, and reported percentage savings. Supplied cost fields are retained separately within their source files and are not combined or used for payback calculations. The records do not identify dates, intervention details, measurement boundaries, operating hours, weather, tariff or cost-period basis, emission factors, or comparable controls. Results therefore describe the supplied values and labels only; they do not estimate implementation effects, causal savings, emissions reductions, or optimization outcomes