This work is part of a research project carried out under the R&D program regulated by the National Electric Energy Agency (ANEEL) and which has developed two smart greenhouses for protected cultivation of banana and orchid seedlings. Smart greenhouses feature control and automation systems, architecture and bioclimatic strategies, and energy systems (artificial lighting system, artificial heating system, evaporative cooling system and photovoltaic system). A sensor network monitors indoor environmental variables and an automatic weather station monitors outdoor environmental variables. A computer system based on artificial intelligence is responsible for the autonomous control of the greenhouses. This paper presents the study of power quality indicators of agrivoltaic systems applied to smart greenhouses. For relative powers greater than 20%, the total harmonic distortion of current (THDA) is less than 4% and is less than 2% for relative powers greater than 60%. At nominal power, THDA is approximately 1%. The main current harmonic components are of order 2, 3, 5, 7 and 9, however, with lower values and in accordance with the limits established in technical standards. From August 2022 to July 2023, the yield final of the agrivoltaic systems of the smart greenhouses of Santa Rosa do Sul/SC and Alpestre/RS was, respectively, 1418.91 kWh/kWP and 1490.68 kWh/kWP.

The electrical sector has been facing a wide-scale transformation with renewable energy, distributed energy resources, information, and communication technology such as distributed ledger technologies. This paper presents a methodology for analyzing a blockchain-based solution applied to energy trading in Brazil. The proposed methodology applies for a proof of concept based on blockchain and other applications. Although the proof of concept in this study addresses the free-energy market, we also developed the methodology for the regulated energy market, net metering energy market, and decentralized energy market---peer-to-peer. We developed the methodology creating energy market metrics, researching electrical sector regulation and blockchain, and validating the case study. In this paper, we presented the validation of this case study through testing a proof of concept. We presented and tested the energy methodology through analysis of the free energy market. We concluded that proof of concept and methodology developed are precise and reliable for their applications. Our methodology may have a huge impact on the Brazilian energy market and may open peer-to-peer trading after law regulation.