研究目的
Designing a low-cost and high-efficiency smart PV solar system for sustainable residential homes, focusing on reducing energy storage costs through a priority concept.
研究成果
The paper demonstrates that the priority concept significantly reduces battery storage size and investment cost for PV solar systems, making them more attractive to homeowners. The case study shows a 47% reduction in battery storage requirements, highlighting the importance of user behavior in system design. Future work could involve practical implementations and broader applicability studies.
研究不足
The study is theoretical and based on simulations; real-world variations in weather, appliance usage, and system efficiency are not fully accounted for. The case study assumes specific conditions in Australia, which may not be generalizable to other regions. The cost estimates are based on market prices and may change over time.
1：Experimental Design and Method Selection:
The study uses a theoretical approach with mathematical modeling and simulations to design a PV solar system, incorporating a priority concept for load management. Equations are derived for maximum demand analysis, PV system sizing, and battery storage calculation.
2：Sample Selection and Data Sources:
A case study of a two-story residential house in Australia is used, with assumed electrical loads and consumption data based on typical household appliances.
3：List of Experimental Equipment and Materials:
PV panels (250W, Voc 37V), charger controller (max input power 2kW, max input voltage 150V, min input voltage 40V, max current 100A at 48V), battery bank (48V, 1050AH), DC-AC inverter (48V, >6.5kW), and various household electrical apparatus.
4：5kW), and various household electrical apparatus.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Compute maximum instantaneous power and daily consumption using equations, size PV panels and battery storage based on priority loading, and simulate hourly energy consumption with and without priority adjustments.
5：Data Analysis Methods:
Use derived equations to calculate system requirements, compare battery storage sizes with and without priority concept, and analyze cost reductions.
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