Abstract

Submetering with mobile measurement technology offers substantial benefits for energy system analysis in small and medium-sized enterprises. However, the effective and systematic analysis of submetering datasets is challenging due to the lack of a standardized concept and the limited measurement period. Based on empirically collected submetering data from selected case studies, this study investigates which data analyses are relevant for a systematic data analysis approach. In addition, key indicators and limitations of these analyses are examined and discussed. The results indicate that the use of standardized data analyses contributes to a more efficient and targeted energy system analysis. By applying various disaggregation analyses (e.g. base load disaggregation) and load profile characterization to the datasets, relevant electrical consumers and inefficiencies can be identified. The developed standardized data analyses address the initial step of analysis, which is “detection”. Limitations of standardized data analyses point to the need for individual detailed analyses that cover “diagnosis” and “optimization” as further steps of analysis. In conclusion, the results provide a first approach towards a standardized data analysis for short-term measurements.