在永續的再生能源技術中太陽光電技術已有驚人的技術改進。在貝里斯的太陽能還在剛起布階段，只占全國總發電量的0.11%。有許多限制影響貝里斯的能源穩定，例如高電價、相當依賴進口電力和日漸增加的電力需求。貝里斯的太陽光電有極大潛力，而且能提供一個基本解決上述能源問題的方案。此建議計畫提出10 kW太陽光電併網系統的可行性研究來提供在貝里斯Cayo Santa Familia 村莊的Santa Familia 天主教學校電力。由SolarGIS提供的太陽日照地圖顯示在學校地區的年日照大約為1800 kWh/m2。 透過RETScreen軟體提供了電量產出、成本分析、環境分析、經濟分析和敏感性分析。再藉由Google Sketchup建立學校模型放入PVsyst軟體模擬陰影損失。預估的電量只能提供學校發電使用，沒有多餘電量能夠出售。這系統的成本為32,141美元，每年能減少12.7噸的二氧化碳排放。文中考慮兩種情境針對經濟與敏感性分析方式，第一種是考慮所有真實財務的參數得到電價成本為0.178美元/度；第二種是在躉購電價 (FIT)條件下的電價0.20美元/度，並且需要有溫室氣體減排額度20美元/噸配合。第一種情境在經濟成本考量不可行，而第二種可行。敏感性分析針對初始總成本和躉購電價FIT模擬，依據淨現值 (NPV)、内部收益率(IRR)和回收年限的數據顯示高初始投資需要更高的FIT。 ;In the turn of sustainable and renewable energy technologies, photovoltaic (PV) technologies have seen incredible developments and technological improvements. Solar energy is still in its primitive stage in Belize accounting for about 0.11% of the national energy production mix. There are still many restrictions such as high electricity prices, heavy dependence on imported electricity, and increasing demand which have affected the energy stability in Belize. PV electricity has great potential in Belize and could very well be a fundamental solution to these energy sorted issues. The proposed project focused on the feasibility study for a 10 kW grid-connected PV system that would power the Santa Familia Roman Catholic School, in Santa Familia Village, Cayo, Belize. A solar map obtained from SolarGIS was employed and the area closed to the school was around 1800 kWh/m2. The energy production, cost analysis, environmental analysis, economic analysis, and sensitivity analysis were conducted using RETScreen software. A shading analysis was conducted using PVsyst software from an exported Google Sketchup model of the buildings of the school. The system had a capacity factor of 18.1% and an annual production of 15.8 MWh not enough to export to the grid. The projects total initial cost was US$ 32,141 and an annual GHG abatement of 12.7 tCO2. Two scenarios were used for the economic and sensitivity analysis. Scenario 1 adopted all real case financial parameters with an electricity rate of $0.178/kWh, while Scenario 2 had a suggested generation feed-in tariff (FIT) of $0.20/kWh and a GHG reduction credit rate of $20/tCO2. Scenario 1 was not economically feasible, while Scenario 2 was. Sensitivity analysis on total initial cost and electricity rate/FIT with regard to net present value (NPV), internal rate of return (IRR) and payback year showed that high initial investments costs require even higher generation FITs.
