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The Algerian government has established an attractive policy to encourage investment in the wind energy by installing 5 GW of wind power by 2030. It has focused on collaborations and calls for investment from outside wind energy companies. However, this energy sector development requires the identification of potentially windy sites. This study was performed in order to determine new optimal sites in Algeria that may be eligible to receive the wind farm projects. Therefore, data from about 74 new sites were identified and assimilated to verify and update the wind resource estimates. Hourly wind speeds data were used for the establishment of the annual and seasonal wind maps at 10 m and 80 m a.g.l. As the wind map updates highlighted important changes in the wind resource, the wind potential sensitivity to the data time period was evaluated. The windy sites were classed on the basis of the NREL international standards. However, In order to ensure an adequate return on investment, the other objective of this study was to identify the optimal sites using a multi-criteria analysis based on the GIS method. Considering additional factors as network availability and wind energy previsions, different strategic scenarios of wind farms planning were proposed. [ABSTRACT FROM AUTHOR]

An analysis of Brazilian public costs indicates that, although a significant part of its financial resources is destined for electricity consumption, only a small portion of the distributed generation belongs to public institutions. A technical and economic analysis of a PV power plant in the Brazilian public sector was proposed and various scenarios were evaluated, indicating that a change in the Brazilian tariff policy could be an alternative for boosting PV generation in the public sector. Risk analysis demonstrated that the minimum acceptable rate of return is the variable that most affects the system's viability. In addition, a Monte Carlo Simulation (MCS) showed that the proposed PV system has a viability probability higher than 92%. A statistical analysis indicated that the system has a probability of at least 80% for supplying more than 25% of the building's peak demand for all seasons. Finally, such systems have also been found to represent an alternative for improving the electricity grid's stability, while supplying part of the building's energy demand. • A PV power plant was projected for a building of a Brazilian public university. • The variable that most affected the system viability is the MARR. • Changes in the tariff policy could boost the PV generation in the public sector. • There is an 87% chance of the maximum inverter power being reduced in at least 25%. • Similar systems can reduce the summer peak consumption in public buildings. [ABSTRACT FROM AUTHOR]