Design, dynamic modeling and analysis of an on-grid photovoltaic system for a house in Lahore, Pakistan

Akhtar, Muhammad Umair (2024) Design, dynamic modeling and analysis of an on-grid photovoltaic system for a house in Lahore, Pakistan. Masters thesis, Memorial University of Newfoundland.

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Abstract

This thesis investigates the design, analysis, and implementation of a grid-tied solar system for a residential property in Lahore, Pakistan. The objective is to tackle regional energy deficits and improve power availability by employing solar photovoltaic (PV) technology. The study encompassed the creation and execution of a solar power system that fulfils the energy requirements of a standard residential dwelling in Lahore. This encompassed the choice of crucial elements such as photovoltaic modules, power inverters, and necessary equipment for seamless integration with the power grid. Ensuring compatibility with the preexisting power grid, which is frequently affected by power outages and load shedding. An examination of performance, utilizing tools such as the System Advisor Model (SAM) and HOMER Pro, demonstrated that the system connected to the power grid has the ability to greatly decrease dependence on traditional electricity sources. Additionally, there is the possibility of excess energy being returned to the grid through net metering. A novel feature of this study is the creation of a data logging system using Arduino technology, which is seamlessly integrated with Microsoft Excel to enable real-time monitoring of the system's performance. This system collected essential measurements such as energy generation, voltage, and current levels, facilitating proactive maintenance and optimization of the system. The cost-effectiveness of the data logging system highlights its potential for wider implementation in residential solar installations. Although the study showed promising results, it had some limitations. These limitations include the fact that it only focused on one residential installation, the need for longer-term performance data, and the possibility of environmental variability that was not fully considered in the simulations.

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