研究目的
To investigate the design and feasibility of renewable energy systems using solar resources to sustain a load in an Office Park building in Johannesburg, South Africa, and to offset the energy usage of government buildings as per the provincial mandate.
研究成果
The investigation and design of different off-grid RE systems, focusing on a hybrid topology based on solar resources, were conducted. The RE systems were to provide for a worst-case winter energy demand of 115.564 kWh/day. The Solar PV source was found to be more efficient, with the system designed to operate from sunlight and feed excess power back into the grid during weekends.
研究不足
The design was based on assumptions including the correctness of collected data, network configuration, transformer ratings, and cable sizes. No de-rating factors were applied to the MV and LV cables, and overloading was taken as 100% of the equipment nominal rating.
1：Experimental Design and Method Selection:
The design was based on a grid-tie PV system for an office park which will operate from sunlight. The initial suitability assessment of the site was undertaken as a desktop exercise, using scaled aerial images. Key parameters such as the size of roofs, orientation, obstructions, type of roof, the angle of tilt, the location of the feed-in point(s), and connection voltage were assessed.
2：Sample Selection and Data Sources:
The load profile for the building was investigated, showing a worst-case winter energy demand of 115.564 kWh/day.
3：564 kWh/day.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Components included Solar Module 250 W, Solar mounting frame, Bi-Directional inverter, PLC power controller, Monitoring Gen Set, Cabling and installation material.
4：Experimental Procedures and Operational Workflow:
The load flow was performed and validated using DigSilent PowerFactory simulation software. The system was designed to provide 'clean' power during the day, with excess power fed back into the office park connected grid during weekends.
5：Data Analysis Methods:
The analysis included overloading and under-voltage conditions assessment, with overloading indicated in red when exceeding 100% of the nominal rating and under-voltage conditions indicated when outside the +5% and -5% of the nominal voltage rating.
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