Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Recent years the world has witnessed solar energy gaining popularity, as everyone is inpursuit of a more sustainable form of energy. However, the transition to solar energy hasbeen slow, short term oriented and consumers fail to see the long-term advantages ofswitching to green solutions. Peer-to-peer (P2P) energy sharing solutions are expected tobe the future of solar sector. It is ingenious as it enables cheaper and more efficient powersharing within the community at all hours of the day.The thesis aimed to investigate the impacts of different factors on the P2P solar powersharing performances, including the climate conditions (locations), Photovoltaic (PV)capacity ratio, and energy storage integration. In order to study the impact of differentclimate conditions on energy sharing, three locations are selected, namely, Sweden(Stockholm), Italy (Rome), and India (Bengaluru). For studying the impacts of PV capacityratios and energy storage integration on the power sharing performances, theperformances under a set of different PV capacity ratios and energy storage capacities arestudied.Five basic steps are followed in order to perform the above-mentioned studies. First, theconfiguration of the design alternatives is properly selected, and a 3D model is developedin a format that can be imported into a simulation software. Second, the electricity load iscalculated for a group of single-family houses and apartment buildings considering theelectricity devices such as lighting, cooking, refrigerator, washer, dryer etc. Similarly, forcommercial buildings, electricity load is calculated by considering daily energy demand forservers, computers, and lighting. Third, the simulation software is used to perform theestimation of renewable energy production. The simulation software requires inputs suchas PV area, surrounding area, weather data file and load profile. The output is the hourlyPV production and economic analysis. The fourth step is to evaluate the potential forpower-sharing in different communities by using the obtained building electricity load andpower supply data. The impacts of different factors are analysed and discussed in the laststep of this study. The result is in the form of how much amount of power can be sharedin the community considering the various factors mentioned above.The result of the study shows that more power can be shared if a community has a higherpercentage of PV. A small percentage of PV is unable to achieve the maximum amount ofpower sharing. In the case of energy storage, with the increase of battery capacity, powersharing will increase and gradually reach a saturation point. After the saturation point, theincrease in battery storage will not lead to any rise in power sharing. Summarizing thescientific contribution of this study can help urban designers or engineers to design or planpower sharing building community in the future. Also, empowers prosumers andconsumers, leading to increased renewable energy deployment and flexibility in the grid.
2021.