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Energy

Research in this area aligns with Portugal’s strategic commitment to decarbonizing its economy and ultimately achieving climate neutrality through reduction of all greenhouse gas emissions to net-zero. This transition requires large-scale deployment of renewable energy sources as well as systemic innovation across diverse components of the energy system, including storage, grids, electrification, efficiency and sustainable fuels. MPP is investigating deeper integration of technologies, markets, and industrial capabilities to meet multiple goals of resilience, affordability and sustainability.

Among the topics MPP is pursuing are renewable energy innovation, energy storage and other grid flexibility solutions, electrification of industry and mobility, energy efficiency in buildings and industrial processes, and energy system modeling. Supporting collaborative research across the entire energy system, projects in this area are aimed at speeding technology validation and industrial deployment, while informing strategic energy planning and policy.

Funded Projects

  • Calls: 2025 Call for Seed Grant Proposals

    Research Areas: Energy

    Abstract

    Poly(vinyl chloride) (PVC) waste presents a major challenge to circular materials management due to its high chlorine content and incompatibility with existing recycling systems. This project, a collaboration between Prof. Luís Branco (NOVA FCT) and Prof. Yuriy Román (MIT), will develop a catalytic process to convert PVC into energy-dense liquid fuels using mild thermochemical treatment in tailored solvent systems. The approach integrates solvents with tunable acid–base properties (NOVA FCT) and selective hydrogenolysis catalysts (MIT) to enable dechlorination and C–C bond cleavage under mild conditions. Key innovations include nucleophilic, low-volatility solvents that stabilize reactive intermediates and catalysts that promote high selectivity without over-cracking. Unlike existing chemical recycling methods, which suffer from low carbon yields, proof-of-concept results demonstrate dechlorinated PVC carbon recoveries approaching 80%. Portuguese PVC-containing waste streams will be used to validate the process and guide scale-up. This collaboration offers a high-yield, lowimpact route to valorize halogenated plastic waste while supporting national energy and sustainability goals.

    MIT PI
    Yuriy Roman, Professor, Department of Chemical Engineering

    PT PI
    Prof. Luís Branco, Associate Professor, Department of Chemistry, Principal Investigator, Fotoquímica Research Group NOVA School of Science and Technology (FCT NOVA)

  • Calls: 2025 Call for Seed Grant Proposals

    Research Areas: Energy

    Abstract

    Boiling of refrigerants enables high heat dissipation and is critical in heat pumps, refrigeration, solar power systems, and emerging microsystems. Understanding refrigerant boiling can drive the development of clean technologies for process heat, cooling, and power while reducing greenhouse gas emissions by replacing harmful refrigerants with eco-friendly alternatives. This project aims to enhance boiling heat transfer using next-generation low-global-warming-potential refrigerants. We will conduct pioneering experiments using advanced optical and infrared diagnostics, paired with engineered surfaces, to identify designs that maximize performance. These surfaces will be tested in prototypical conditions, focusing on applications such as refrigeration systems, concentrated solar power and passive, thermally powered cooling. Insights gained will also benefit broader water-based thermal systems, including steam generation and solar cooking.

    MIT PI
    Matteo Bucci, Associate Professor, Department of Nuclear Science & Engineering

    PT PI
    Prof. Ana Moita Universidade de Lisboa Instituto Superior Técnico

  • Calls: 2025 Call for Seed Grant Proposals

    Research Areas: Energy

    Abstract

    Offshore wind energy leverages the high intensity and consistency of oceanic winds, playing a key role in the transition to renewable energy. As energy demands grow, larger turbines are needed to optimize power generation and reduce costs. However, upscaling introduces structural design and manufacturing challenges. Designing better wind turbines is therefore essential. A key challenge is the time-consuming nature of multiphysics simulations, involving interactions between wind, waves, and ocean currents, limiting exploration of design alternatives. While AI provides a promising way to help alleviate this challenge, most current AI-accelerated models lack the capability to capture multi-physics, leading to untrustworthy or structurally invalid designs. We propose a physics-guided generative design framework that combines Graph Neural Nets (GNNs) and diffusion models, trained on high-fidelity multiphysics simulation data and validated against experimental data from full-scale offshore structures, to design and evaluate offshore structures. This approach enables faster development, improved accuracy, and scalable digital twins for Portugal’s partners in the offshore wind sector.

    MIT PI
    Faez Ahmed, Associate Professor, Department of Mechanical Engineering

    PT PI
    Sérgio Tavares (University of Aveiro),
    Filipe Magalhães (University of Porto)