From the 1 of 6 linked papers with an AI index.
6 papers
Design of Carbon Capture Processes Under Part-load Operating Conditions
David Y. Shu, Boxun Huang, Yurim Kim +3
The paper presents a stochastic optimization approach for designing solvent‑based carbon capture systems that account for part‑load variations in flue‑gas conditions, demonstrating…
Watts vs. Bytes: Turning Data Centers into Grid Assets via Storage Compute Co-Optimization
Shaohui Liu, Sungho Shin, Deepjyoti Deka
Data center interconnections increasingly face tighter peak-demand and ramp-rate limits while being expected to support grid operations. Satisfying these requirements calls for coo…
Approximate Dynamic Programming for Degradation-aware Market Participation of Battery Energy Storage Systems: Bridging Market and Degradation Timescales
Flemming Holtorf, Sungho Shin
We present an approximate dynamic programming framework for designing degradation-aware market participation policies for battery energy storage systems. The approach employs a tai…
The value of storage in electricity distribution: The role of markets
Dirk Lauinger, Deepjyoti Deka, Sungho Shin
Electricity distribution companies deploy battery storage to defer grid upgrades by reducing peak demand. In deregulated jurisdictions, such storage often sits idle because regulat…
ExaModelsPower.jl: A GPU-Compatible Modeling Library for Nonlinear Power System Optimization
Sanjay Johnson, Dirk Lauinger, Sungho Shin +1
As GPU-accelerated mathematical programming techniques mature, there is growing interest in utilizing them to address the computational challenges of power system optimization. Thi…
An Augmented Lagrangian Method on GPU for Security-Constrained AC Optimal Power Flow
François Pacaud, Armin NurkanoviÄ, Anton Pozharskiy +2
We present a new algorithm for solving large-scale security-constrained optimal power flow in polar form (AC-SCOPF). The method builds on Nonlinearly Constrained augmented Lagrangi…