Energiprofilanalyser

Energiprofilanalyser refers to a set of tools and methodologies for analyzing energy consumption patterns in buildings, industrial processes, or fleets. The aim is to quantify energy use, identify inefficiencies, and support optimization and decision-making.

They gather data from electricity meters, sub-meters, gas and heating meters, and sometimes production data, weather, occupancy, and process parameters. Data are processed to produce energy profiles that show consumption over time, by end-use, by equipment, or by zone. The time resolution can range from minutes to months, depending on the application and data availability.

Outputs from energiprofilanalyser typically include metrics such as specific energy consumption, peak demand, load factor, energy intensity, and carbon footprint. Visualizations like energy profiles, dashboards, and benchmarking reports are common, and profiles can be used for anomaly detection, trend analysis, and performance monitoring.

Applications cover facility energy management, industrial process optimization, demand-side management, and policy analysis. They are used by facility managers, energy consultants, utilities, and researchers, and can support compliance with energy management standards such as ISO 50001.

Methods employed include time-series analysis, end-use decomposition, regression and machine learning for load forecasting, energy signature analysis, and clustering of consumption patterns. Analyses often require integration with building management systems and adherence to data standards to ensure interoperability.

Limitations include data quality and completeness issues, privacy concerns with granular residential data, and the need for proper context to interpret results. The accuracy and usefulness of energiprofilanalyser depend on meter coverage, data governance, and the quality of input data.