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This thesis focuses on small scale residential cooling application with unitary air conditioning units as they are wide spread in the so called Middle East North African Region. The presence of these single room or single apartment cooling systems is evaluated and their impact throughout the region assessed. They have a tremendous impact on the electric supply in countries like Saudi Arabia where most of the households already have an AC-unit. The impact in other countries with relatively less installed systems, like in Egypt, is already crucial and leads to regular power cuts. However, the stability of the grids of these countries will decrease further with a higher penetration rate of electric air conditioning systems. Current technology development aims to reduce the buildings cooling energy demand, increase the coefficient of performance, or to substitute the cooling mechanism with a different approach such as sorptive cooling systems. However, these systems require a costly and time intensive change of the building structure or an exchange of the existing cooling system. Due to this reasons, this thesis focuses on the additional installation of a small scale PV electric system, including a battery and applying advanced control strategies to utilize the thermal storage capacity of the building masses. Therefore, the present room cooling system is modeled as a reference system as it could be present throughout the entire region. This system consists of a room model of a typical apartment structure and is cross validated. Two use cases are applied: a bed room and a living room. Further, it includes a model of the solar electric system which is as well parametrized to regional values. Newly, a split unit model and an extended Kinetic Battery model are set up. The single models are combined to an entire system simulation. Afterwards, the main parameters are varied in particle swarm optimization runs to determine the impact of various boundary conditions, such as the electricity price and feed in tariffs, battery and thermal storage capacities, and solar collector field size. The simulation results are compared in terms of levelized costs of cooling, solar coverage rate and the solar cooling autonomy. The findings are compared in a case study. This study highlights the results of the Hurghada, Egypt city district of El Gouna. There, personal observations of the results where possible and an in depth analysis of the results was undertaken. In this location, the levelized costs of electricity for a small scale PV system with 1kWpeak drop there to 0.18USD/kWh with a short investment period of 5 years. They even drop to 0.08 and 0.05USD/kWh when taking an investment period of 15 or 25 years into consideration. With this values, various levelized costs of cooling are simulated as a parameter field of the particle swarm optimization. The findings show, that in most cases, the cooling costs become negative, even with relatively short investment periods. Within a bed room, a solar coverage rate of 0.9 can be achieved with a small scale PV system with weighted costs of only 677USD. In terms of solar cooling autonomy, the most cost efficient system has weighted costs of1,036USD, resulting in a coverage rate of 0.71. The living room air conditioning system can achieve best weighted costs of1,459USDfor a cooling autonomy of 0.86.Further, the practical application of a small scale PV electric solar cooling system was evaluated by the author in the case study location itself. The limitations of the theoretic system design are presented and discussed. Part of this analysis is the thermal stratification in typical vaulted apartment structures as they have a huge impact on the deviation between simulated and measured room air cooling demand.