Presentation at the Integration of Sustainable Energy Expo & Conference (iSEnEC) 17-18.07.2018 in Nuremberg, Germany
In general, standard load profiles are not suitable for describing the demand curves for electricity, domestic hot water and space heating for individual households. However, the exact load curve of the individual household is of great importance for estimating the potential for PV self-consumption and the effects of self-consumption on network stability.
A methodology for modelling realistic electricity and domestic hot water demand curves for typical German households with an agent-based bottom-up approach is presented. Based on time use data, typical agents (pensioners, full-time and part-time employees and children) as well as their typical daily routine on weekdays and days off were determined.
A typical activity profile of a full-time employee on workdays and public holidays is shown in Figure 1.
Figure 1: Typical activity pattern for a full-time employee on workdays and public holidays divided into 10 relevant activity clusters
The use of these load profiles in a calculation tool for estimating PV self-consumption shows that, without the integration of a storage system, pensioners with an average demand already reach a self-consumption of around 34 %, while full-time employees only achieve a rate of 27%. Through the integration of storage, this rate increases to 68% for full-time employees and thus by 41%, but only to 56% for pensioners and thus by only 22%.
Further information about the load curve generator:
More information about the self-consumption tool:
Investigation of the necessary data basis for the evaluation of PV self-consumption:
- Solar Integration Workshop: Influences of time resolution and recording period of energy consumption on the assessment of photovoltaic battery systems
Further analyses of household activities: