Marilyn Brown from Georgia Institute of Technology presented a talk at KAUST's Winter Enrichment Program 2022 on strategies to reduce carbon emissions. She emphasized developing localized solutions and highlighted business opportunities in enhancing energy systems through carbon reduction. Brown noted that achieving the Paris Accord goals requires a 50% reduction in greenhouse gas emissions by 2030. Why it matters: This underscores the importance of localized carbon reduction strategies and the potential for innovation in energy systems within the region, aligning with Saudi Arabia's Vision 2030 goals for sustainability.
Munther Dahleh, director at the MIT Institute for Data, Systems, and Society (IDSS), discussed his group's research on network systems at the KAUST 2018 Winter Enrichment Program. The research focuses on the fragility of large networked systems, like highway systems, in response to disruptions that may lead to catastrophic failures. Dahleh's team studies transportation networks, electrical grids, and financial markets to understand system interconnection in causing systemic risk. Why it matters: Understanding networked systems is crucial for building resilient infrastructure and mitigating risks in critical sectors across the GCC region.
Carlos Duarte, a professor of Marine Science at KAUST, discusses climate change adaptation and mitigation. He was interviewed outside the KAUST Museum of Science and Technology. The interview is part of a Frontiers Research Topic on Climate Change Adaptation and Mitigation. Why it matters: This highlights KAUST's focus on addressing climate change through scientific research and its engagement with international platforms like Frontiers.
Professor Jeffrey Sachs of Columbia University gave a keynote at KAUST's Winter Enrichment Program (WEP) 2022 on "resilience." He emphasized the need to end greenhouse gas emissions by mid-century through decarbonizing the energy system. Sachs highlighted the importance of science and technology solutions, especially in adapting to climate change. Why it matters: The talk underscores the importance of KAUST's research initiatives, such as the Circular Carbon Initiative, in developing technologies for carbon capture and utilization, aligning with Saudi Arabia's net-zero targets.
This paper presents a reinforcement learning framework for optimizing energy pricing in peer-to-peer (P2P) energy systems. The framework aims to maximize the profit of all components in a microgrid, including consumers, prosumers, the service provider, and a community battery. Experimental results on the Pymgrid dataset demonstrate the approach's effectiveness in price optimization, considering the interests of different components and the impact of community battery capacity.