The project “OG2OW: Recommissioning Oil and Gas Platforms to Offshore Wind Energy,” led by researchers from the Industrial Engineering Department of the Technical-Scientific Center at PUC-Rio, won the competition "Universities for Goal 13," organized by Siemens Gamesa in partnership with the United Nations Sustainable Development Solutions Network (SDSN). The competition aims to develop solutions to mitigate environmental and climate issues globally. The project – which also involved collaboration from researchers in the Biology, Computer Science, and Environmental Engineering departments – surpassed competition from universities in Australia, China, the United States, and the United Kingdom.

At EPPGEP, the Scientific Meeting of ANPEPRO, two students from the Industrial Engineering Department received awards during the event. We congratulate the achievements of the students: Saulo Custódio and Gustavo Melo.

Award: Best Technological Product

Student: Saulo Custódio

Degree: PhD

Project Title: WindAnalyzer: An Interactive Tool for Wind Energy Reanalysis in Brazil - Joint Modeling of Wind Speed and Power via a Nonparametric Approach

Award: Best Academic Master's Thesis

Student: Gustavo Melo

Degree: Master's

Project Title: PV and Wind Power Spatio-Temporal Scenarios Simulation

In the first edition of the Best Final Project Award in Industrial Engineering at PUC-Rio, six projects were nominated and submitted to an evaluation committee. We congratulate Caíque Nascimento for winning the award in 2024.1, under the supervision of Professor Fernanda Baião.

Project: Risk Modeling in Supply Chains Based on the COVeR Ontology: An Application in the Offshore Wind Energy Domain.

We congratulate our outstanding PhD and Master's students in Industrial Engineering who were awarded the 'Bolsa Nota 10' scholarship program by FAPERJ with the following projects:

Gustavo Melo: Proposal for a Multidimensional Indicator of Renewable Generation Potential from the Perspective of the Sustainability Triple Bottom Line.

Tuany Barcellos: Scenario Simulation Models for Wind Energy Generation Incorporating Climate Variables: A Multivariate Approach Using Copula Theory.

Laura Bandeira de Mello: Development of an Indicator for the Reuse of Oil and Gas Platforms in the Decommissioning Process.

Rafaela Ribeiro: Task-Based Prescriptive Trees for Two-Stage Linear Decision-Making Problems.