研究目的
To assess the environmental impact of a 3.0 MWp PV power plant installed in one of the best solar regions of Brazil based on its carbon payback time (PBT) with a sensitivity analysis.
研究成果
The PV plants installed in northeast Brazil are beneficial to climate change mitigation, regardless of the PV module technology (mono-Si or poly-Si) and manufacturing location (abroad or in Brazil). The carbon payback time (PBT) varies based on external parameters, with the most beneficial scenario being the national manufacturing of PV equipment, which significantly reduces GHG emissions and PBT.
研究不足
The study does not consider the degradation of photovoltaic modules over their lifetime. There are uncertainties in the estimation of emission factors for hydropower generation in tropical regions. Limited data on operation and maintenance (O&M) of PV systems introduces uncertainties in establishing a roadmap for safe operation.
1：Experimental Design and Method Selection:
The study applies a four-step methodology to assess the PV plant impact, including defining the technological arrangement, accounting for equivalent carbon dioxide emissions, estimating electricity production, and calculating the carbon footprint and PBT.
2：Sample Selection and Data Sources:
The case study is a 3 MWp PV power plant located in Jaíba, Minas Gerais, Brazil. Data sources include secondary data from literature, government reports, and databases.
3：List of Experimental Equipment and Materials:
PV equipment (mono-Si and poly-Si modules, CPV), construction materials (concrete, gravel, sand, steel, mortar), and transport means (diesel trucks, vessels).
4：Experimental Procedures and Operational Workflow:
Calculation of CO2 equivalent emissions for manufacturing, transportation, and operation; estimation of electricity production based on equipment efficiency and solar irradiance; calculation of carbon footprint and PBT.
5：Data Analysis Methods:
Sensitivity analysis to evaluate uncertainties surrounding emission factors, PV technology, and manufacturing location.
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