COFACTOR - Coincidence factor for buildings

WP1 Data collection, cleaning and storing (SINTEF Community – Harald T. Walnum)
WP1 will collect, secure the quality of, and classify the collected data.

WP2 Data-driven load disaggregation (NTNU – Jayaprakash Rajasekharan, Ph.D.)
WP2 aims at disaggregating load measurements collected in WP1 by energy services. For non-residential buildings, the load profiles are not homogenous and hence labeled data and sub-meter data may be required for accurate disaggregation.  Application of advanced data-based approaches will be used to address this problem. 

WP3 Standard load profiles methodology (SINTEF Community – Åse Lekang Sørensen)
WP3 aims at providing new and updated standard load profiles for Norwegian buildings. Typical load profiles for two energy uses; 'total heat demand' and 'electric specific demand', for different building categories and envelope efficiencies will be further developed.

WP4 Coincidence factors and peak power using measured data (SINTEF Energy – Daniel Bjerkehagen)
WP4 will provide consistent methods and models for calculating peak power and coincidence factors per building category, through a statistical approach using smart meter data collected in WP1. Coincidence factors are calculated from the peak load of the building and load profiles of different appliances presented in the building. Finally, the utilization factor will be established from the peak demand and intake capacity of the building.

WP5 Building simulations for peak load estimation (SINTEF Community – Andreas Aamodt)
WP5 will develop a robust and novel methodology to calculate the peak load of buildings, that accounts for new technologies and is suitable for the Energy Labelling of buildings.

WP6 Results and dissemination of results (SINTEF – Åse Lekang Sørensen)
WP6 will regularly report to RCN on the project progress, and coordinate the dissemination activities of the project, including internal and external workshops and seminars.