In recent years a rapid growth in the interest in self-consumption of
electricity generated by distributed electricity generation technologies
such as rooftop photovoltaic (PV) systems has been observed in the
residential sector. Due to this development, future residential house
energy systems will face an increased complexity with respect to
operation, system configuration and sizing of generation and storage
technologies. In this thesis, a mixed integer linear programming model
for the integrated operation, configuration and sizing of house energy
systems is developed and discussed with respect to its applicability to
the specifics of self-consumption in residential dwellings. The
conducted scenario analysis shows, that over a wide range of
assumptions, PV is a robust measure to decrease the total cost of
ownership for heat pump and gas boiler based house energy systems. The
existence of a feed-in-tariff and the electricity price structure have a
much larger influence on the results than the energy price development.
A feed-in-tariff generally incentivizes larger PV systems with higher
levels of self-sufficiency, whereas small demand-driven PV systems with
high levels of self-consumption are favored in absence of a
feed-in-tariff. Overall, the proposed model is regarded as applicable
for the identified minimum flexibility requirements for the employed
generation technologies. The results from the scenario computations
provide a clear and robust picture of the role of electricity generation
technologies and flexibility options for future house energy systems.
