研究目的
To assess the potential of the community-based roof top solar PV microgeneration system to supply electricity to the grid, and to explore a crowd funding mechanism for community ownership of microgeneration projects.
研究成果
The deployment of community solar PV system projects has significant potential to reduce the peak demand, smooth the load profile, assist in the voltage regulation and reduce electrical losses and deliver cost savings to distribution system operator and the consumer. The modelled energy payback time was 4.59 years and GHG payback time was 1.5 years. The financial payback based on NPV of the investment will take 12 years.
研究不足
The study is limited by the specific conditions in Ireland, including the low uptake of solar PV systems and the current financial and regulatory environment. The model's assumptions may not fully capture the variability in solar radiation and electricity demand across different regions and times.
1：Experimental Design and Method Selection:
A modelled microgeneration project was developed including the electricity load profiles of 68 residential units, a community-based roof top solar PV system design, and an electricity network model based on a real network. Power flow analysis on the electrical network for system peak and minimum loads was carried out.
2：Sample Selection and Data Sources:
The electricity demand data was obtained from the distribution system operator’s standard load profiles which is consolidated samples from residence meters.
3：List of Experimental Equipment and Materials:
Solar PV panels (Hanwha Q cells Q peak G4.1 300 Rev4 monocrystalline modules), inverters (ABB UNO-2.0-I-OUTD), and other electrical items such as cables etc.
4：1 300 Rev4 monocrystalline modules), inverters (ABB UNO-0-I-OUTD), and other electrical items such as cables etc.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Simulations were performed using PV*SOL software with weather data from the integrated meteo weather database. The electricity network operation downstream of the primary substation was modelled to determine demand at each of the load points on the MV feeder circuit.
5：Data Analysis Methods:
The embodied energy, energy payback time, GHG payback time, carbon credits and financial cost relating to the proposed solar PV system were calculated. Different crowdfunding models were assessed.
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