Abstract Autonomous photovoltaic systems have already been proved as one of the most reliable ways to handle the electrification requirements of remote consumers in isolated areas. The technology improvement in the field of building integrated photovoltaic systems, along with the governmental financial incentives for boosting the corresponding energy sector, have increased the interest of installing small scale photovoltaic systems not only in remote dwellings but also in grid-connected households. The penetration of photovoltaic systems in densely populated areas has made people even more familiar with them and therefore people with environmental consciousness are more likely to adopt the specific technology. In this context, the present work aims in highlighting the capabilities of building integrated photovoltaic systems along with battery storage devices in covering the electrical needs of a typical dwelling using real electricity demand and meteorological data based on Typical Meteorological Year time series. The system is simulated on an hourly basis by using an integrated numerical code that has been developed by the Soft Energy Applications & Environmental Protection Laboratory of the Mechanical Engineering Dept. of Piraeus University of Applied Sciences in Greece. The proposed solution guarantees zero load rejections under different solar potential schemes investigating also the possibilities of minimizing the storage system capacity.