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Brazil as well as the rest of the world, faces a major challenge related to the electricity sector, to meet the growing demand with energy production from renewable sources. Many hydroelectric plants are being implemented, especially in the northern region of Brazil, but its environmental impacts are yet unknown. Energy produced by hydropower plants has been considered totally renewable and clean, but more recent studies describe analysis pointing to the existence of emissions by hydroelectric plants, especially if a lifecycle approach is considered. Thus, the objective of this study is the investigation of environmental impacts of the construction, operation and decommissioning of a hydroelectric power station based on life cycle assessment. The main focus is the Curuá-Una hydropower plant that is located in the Amazon forest in northern Brazil, in Santarém municipality (Pará state).

Software Engineering has evolved to meet the growing complexity of current systems and the resources of the Unified Modeling Language (UML) enable the modeling of such systems in different views. The Internet of Things (IoT) paradigm appears with very peculiar characteristics such as the heterogeneity of its physical and virtual components that must be integrated. Designing systems of this nature is a challenge and modeling using UML is consolidating itself as a resource to overcome this challenge. The objective of this work is to present some proposals for UML extensions already available in the literature, to represent IoT systems. Then, we present a case study with those models for representing a small energy monitoring system with artificial intelligence for power consumption forecast.

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