Monday, January 27-Friday, January 31, 2025 9:00 am - 1:00 pm ET each day (5 classes) Location: 3-133 Register by Saturday, January 25. Email Pablo Duenas (pduenas@mit.edu)For the 16th consecutive year, this five-session hands-on learning experience continues to evolve, delving into mathematical modeling to understand and accelerate the transition toward net-zero targets. With a primary focus on electricity systems, the course examines their pivotal role in a carbon-constrained economy. Participants will address critical challenges, such as the deployment of renewable energy resources, the surge in active demand response and electric vehicle integration, the synergies between electricity and hydrogen to support deep decarbonization, and the pending expansion of energy access in non-electrified areas of Africa, Latin America, and Asia. These challenges require advanced mathematical models for optimizing and analyzing complex decision-making processes. In addition to theoretical insights, the course offers practical tools, enabling participants to run case studies and explore the impact of different mathematical formulations. Real-world applications will be showcased to underscore the power to inform key stakeholders and public opinion, providing a robust foundation for driving collective action toward a net-zero future.No prior experience is required, although basic familiarity with Python and Julia programming can be helpful. Participants are welcome to attend individual sessions.Monday, January 27Part 0: How mathematical models contribute to achieving the net-zero target on timeCarbon emitters, decarbonization solutions, and the pivotal role of electricityLeveraging models to inform policymakers, stakeholders, and public opinionIntroduction to fundamentals on optimization techniquesPart 1: Removing carbon emissions at the community levelScheduling a decarbonized Home Energy Management System (HEMS)Energy communities and enabling active participation of buildingsTuesday, January 28Part 2: Removing carbon emissions from daily electricity productionUnit-Commitment (UC): daily dispatch of electricity generation unitsManaging uncertainty through stochastic optimization of UCWednesday, January 29Part 3: Removing carbon emissions from annual electricity productionMedium-term operation planningManaging uncertainty through stochastic hydro-thermal coordinationPart 4: The network as the backbone of electric systemsUnderstanding the role of the electricity networkManaging network constraints with Locational Marginal PricingThursday, January 30Part 5: Models for informing utility-scale investmentsBasic concepts: optimal mix problem by screening curvesDOLPHYN: an expansion model for studying low-carbon energy futuresFriday, January 31Part 6: Electrification and energy transition: openTEPES, REM, DECARBopenTEPES: informing infrastructure needs across AfricaREM: developing national electrification plans worldwideDECARB: is the distribution grid ready for wide electrification?InstructorsPablo Duenas, Research Scientist, MIT Energy Initiative (pduenas@mit.edu)Andres Ramos, Professor, Universidad Pontificia Comillas (arght@mit.edu)Javier Garcia-Gonzalez, Professor, Universidad Pontificia Comillas (javiergg@mit.edu)Ruaridh Macdonald, Energy Systems Research Lead, MIT Energy Initiative (rmacd@mit.edu)Yifu Ding, Postdoctoral Associate, MIT Energy Initiative (yifuding@mit.edu)Invited speakersGraham Turk, Deputy Director of Utility Regulation, Connecticut Public Utilities Regulatory Authority

This course is aimed for architecture and urban planning students and enthusiasts. It will introduce the synthesis of data-driven research and urban design. The workshop will walk participants through their own data collections using gaze tracking glasses and heart rate monitors on campus.

Chemistry Student Seminar (CSS) is a student-organized seminar series that host graduate students and postdocs to share their research in a friendly and informal environment. Free donuts and coffee are provided.

Organzied by the 11-6 (Urban Science and Planning with Computer Science) program, this workshop builds on the urban-related 6.100B problem sets (network routing, recursion and Monte Carlo simulation) but focuses on real-world contexts and decision-making cases. You will look into why these problems matter and who make the decisions - from the access and control of local roads, to mandatory insurance policy for coastal development, to locating essential public services, and hone your innovative problem-solving ability by designing and testing alternative problem formulations and exercising Python programming skills.11.085 | 1-0-1 Units for registered students. Audits welcomed.Schedule (All sessions from 10AM-12PM and will be held in 9-255):Monday, January 27 (Socio-technical Perspectives on Path Optimization Problems)Wednesday, January 29 (Stakeholders’ Interests and Risks in Public Policy Making)Friday, January 31 (Polling Places Locations, Closures and Where to Provide Essential Public Services)

The Art and Science of PCB Design is an introductory course into the fundamental aspects of developing electronic systems on printed circuit boards (PCBs). This course will heavily focus on providing hands-on labs with electronic design tools actively used in industry towards designing a primary course project resulting with the physical assembly of a PCB-based device. Students will gain experience in designing systems, conducting SPICE simulations, drawing schematics, and creating a PCB layout. Complex topics in electrical and PCB design will be explored, including from guest speakers and through advanced simulations. This class is intended for students of all skill-levels but at a minimum requires a basic understanding of circuit analysis, which will be applied towards learning how to implement real devices.Prerequisites: Understanding of basic circuit analysis provided in 6.200, 2.678, or equivalent. Prospective students who have not taken 6.200, 2.678, or an equivalent class will be required to pass a staff-created open-book pretest, prior to the start of IAP, that covers required circuit knowledge for the course. Prospective students should fill out the interest form located at: pcb.mit.edu.Lectures: MWF10, room 2-190Labs: 2-hour lab section on Tuesdays and Thursdays, room 38-530 (times TBD)Office hours: MWF 8a-10a, 11a-1p; TTh 5-7p, room 36-144Once accepted, please register for credit under EC.S03 or 6.S092, 6 units, p/d/f

Learn the fundamentals of quantum computing and the core principles that underpin this novel field. This session will also spotlight quantum computing platforms and the latest research from MIT faculty who will share insights into ongoing advancements, practical applications, and the opportunities and challenges ahead.