The objective of this project is to enhance pvpumpingsystem, a software tool designed to assist in the design of photovoltaic drinking water pumping systems (PVPS), through the integration of a maximum power point tracking (MPPT) simulator and the addition of detailed water consumption profiles. The impact of those enhancements on the results generated by the tool are then analysed. The MPPT simulation is performed through the detailed modeling of a buck-boost converter controlled by a perturb and observe (P&O) algorithm. The option to use monthly or daily water consumption profiles, in addition to an hourly water consumption profile within each day, is added. The Python programming language is used, to ease integration with pvpumpingsystem.
The results confirm that the P&O algorithm is effective at maximising the energy obtained from the photovoltaic panels under simple conditions (few solar panels, homogeneous irradiance). However, it was also revealed that the buck-boost converter is not an optimal choice for a direct combination with photovoltaic solar panels because of the fraction of each cycle during which the circuit leaves the power source in open-circuit mode, leading to a reduction in available energy. Furthermore, the detailed simulation, while precise, requires a computing time that is incompatible with the practical use of pvpumpingsystem. Nevertheless, the work has confirmed that using a simplified MPPT model with a 94% average efficiency is an adequate approach leading to realistic and useful results under those simple conditions.
The use of more precise water consumption profiles has significant impacts on the design of an SPPV, easily raising or lowering by up to 40% the load losses probability depending on the compared scenarios.
| Date | 22 Apr 2024 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Daniel Rousse (Supervisor) |
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Turcotte, P. (Author),
Rousse (Supervisor),
22 Apr 2024Student thesis: Master's thesis › Master in Engineering: Engineering