About Ricardo Manuel Pinto de Lima Ricardo Manuel Pinto de Lima Research Scientist, Applied Mathematics and Computational Science optimization process systems engineering renewable energy energy systems stochastic programming robust optimization uncertainty quantification risk management nlp minlp milp scheduling My mission is to develop computational models and methods based on mathematical optimization and data science for sustainable energy and chemical processes. I am deeply committed to decarbonization, climate change mitigation, and optimal operations management. Events Presented Events Apr 24 - Apr 30, 2022 Applied Optimization: from Energy Systems to Trajectory Planning Ricardo Manuel Pinto de Lima, Research Scientist, Applied Mathematics and Computational Science Apr 24, 14:00 - 15:00 B9 L2 H2 This talk focus on advanced modeling and optimization techniques to solve complex problems in the scheduling and planning of processes, energy systems, and water systems. Modeling and optimization techniques integrated with other disciplines have a paramount role in supporting the energy transition planning and the water-energy nexus. Specifically, optimizing the integration of renewable energy sources and new energy carriers in the energy mix, increasing the efficiency of existing and novel systems (enterprise-wide, industry, buildings, supply chains), and supporting decarbonization in industry. First, we describe canonical optimization formulations and show their flexibility and capabilities to address complex optimization problems. Examples of applications include process synthesis, production scheduling, short-term hydro scheduling, unit commitment, and even the transfer of human resources within large organizations. Then we focus on applying stochastic optimization approaches to address a virtual power plant's self-scheduling and market involvement, and finally on applying advanced optimization strategies for trajectory planning of underwater vehicles in uncertain and transient flow fields. Nov 8 - Nov 14, 2020 Optimization applied to energy systems, autonomous vehicles, and matching Ricardo Manuel Pinto de Lima, Research Scientist, Applied Mathematics and Computational Science Nov 12, 12:00 - 13:00 KAUST In this talk, we start by introducing optimization and interesting optimization applications. We review some optimization formulations and focus on applications studied in our research, such as energy systems, and trajectory planning of autonomous underwater vehicles. After the introduction, we address the self-scheduling and market involvement of a virtual power plant using adaptive robust optimization under uncertainty in the wind speed and electricity prices.
Applied Optimization: from Energy Systems to Trajectory Planning Ricardo Manuel Pinto de Lima, Research Scientist, Applied Mathematics and Computational Science Apr 24, 14:00 - 15:00 B9 L2 H2 This talk focus on advanced modeling and optimization techniques to solve complex problems in the scheduling and planning of processes, energy systems, and water systems. Modeling and optimization techniques integrated with other disciplines have a paramount role in supporting the energy transition planning and the water-energy nexus. Specifically, optimizing the integration of renewable energy sources and new energy carriers in the energy mix, increasing the efficiency of existing and novel systems (enterprise-wide, industry, buildings, supply chains), and supporting decarbonization in industry. First, we describe canonical optimization formulations and show their flexibility and capabilities to address complex optimization problems. Examples of applications include process synthesis, production scheduling, short-term hydro scheduling, unit commitment, and even the transfer of human resources within large organizations. Then we focus on applying stochastic optimization approaches to address a virtual power plant's self-scheduling and market involvement, and finally on applying advanced optimization strategies for trajectory planning of underwater vehicles in uncertain and transient flow fields.
Optimization applied to energy systems, autonomous vehicles, and matching Ricardo Manuel Pinto de Lima, Research Scientist, Applied Mathematics and Computational Science Nov 12, 12:00 - 13:00 KAUST In this talk, we start by introducing optimization and interesting optimization applications. We review some optimization formulations and focus on applications studied in our research, such as energy systems, and trajectory planning of autonomous underwater vehicles. After the introduction, we address the self-scheduling and market involvement of a virtual power plant using adaptive robust optimization under uncertainty in the wind speed and electricity prices.
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