Energy Systems

High-Fidelity Self-Learning Tool for Residential Load and Load Flexibility Forecasting

The project will research, develop, and demonstrate technology that enables the modulation of controllable household loads, to provide multiple grid services, including peak capacity management, ramp support, and frequency regulation.  We will show how the fusion of data from multiple sources, including communicating thermostats, smart appliances, weather forecasts, utility bills, solar production data, and interval […]

Balancing electricity demands and costs of high-performance computing

Some computational problems are so complex that they require many times more calculations than a typical laptop can handle. High performance computing (HPC) combines a number of computer servers to carry out these large-scale computations that often operate on massive data sets. But data centers for HPC require immense amounts of power and limiting power […]

Creating Safe, Energy-Efficient Buildings in a Post-Covid World

Smart building technology has been a growing trend in the commercial real estate sector to help building owners and other stakeholders automate processes, reduce costs, boost energy efficiency, and improve the comfort of tenants.  In a post-covid world, its adoption is expected to increase as safety amenities top the list of concerns of tenants planning […]

Automated Analytics for Improving Efficiency, Safety, and Security of HPC Systems

Performance variations are becoming more prominent with new generations of large-scale High Performance Computing (HPC) systems. Understanding these variations and developing resilience to anomalous performance behavior are critical challenges for reaching extreme-scale computing. To help address these emerging performance variation challenges, there is increasing interest in designing data analytics methods to make sense out of the […]

$3 Million for Transformational Energy Technology

Boston University was awarded $3 million in funding from the U.S. Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E) for an academic-industry research collaboration that will be led by Michael Caramanis, BU Professor (ME, SE) and faculty affiliate of the Center for Information & Systems Engineering and of the Institute of Sustainable Energy.  The funding will […]

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A New Risk Assessment and Management Paradigm (NewRAMP) in Electricity Markets

The grid relies on conventional bulk power plants to provide the flexibility to operate power systems reliably. These assets can guarantee available capacity except in rare events. The existing risk management strategy protects against those rare events and aligns well with conventional technologies. New risk management strategies are needed due to the shift in grid […]

SHF: Small: Collaborative Research: Managing Thermal Integrity in Monolithic 3D Integrated Systems

Monolithic three-dimensional (M3D) technology is an emerging integrated circuit (IC) paradigm to maintain the exponential growth in transistor density in future computing platforms. At a time when the fundamental limits of conventional scaling are fast approaching, M3D ICs have the potential to enhance energy efficiency at lower cost. A fundamental challenge in building complex M3D […]

AitF: Collaborative Research: Algorithms and Mechanisms for the Distribution Grid

The electricity distribution grid and the low-voltage line networks that distribute power to end consumers is about to undergo a major transformation. More and more consumers are becoming prosumers, namely consumers and producers of power at the same time, by installing solar panels (PVs) on their home roofs and by purchasing electric vehicles, which may […]

AMPS: Uncertainty Quantification for Stochastic Analysis of Electrical Power Networks

The reliable functioning of the electric power grid forms a critical part of a modern industrial country. The failure to maintain the reliability of the grid leads to significant societal, national security problems and environmental costs. With the ever-increasing use of intermittent power sources such as wind, solar, battery, along with new types of disruptions […]