7 papers
Battery-Swapping Station Operation Under Forecast Uncertainty: A Scenario-Based Stochastic MPC Framework
Zhiyuan Guo, Siyang Gao, Zhichao Chen +2
Battery-swapping stations (BSSs) can shorten electric-vehicle energy replenishment while using centrally managed battery inventories as flexible grid-connected storage. Realizing b…
Grid-Interactive Operation of Solar-Integrated Data Centers for Coordinated Local and System-Level Decarbonization
Mingxu Yang, Weiqi Zhang, Hui Geng +1
The exponential growth of AI is accelerating the deployment of data centers (DCs), placing unprecedented strain on power infrastructures. In response, major IT corporations are inc…
Recasting AI Data Centers as Engines for Carbon Removal
Zhicong Fang, Boyu Zhang, Jin Shang +1
AI data centers (AIDCs) are rapidly increasing electricity demand and associated CO2 emissions, yet they also generate continuous low-grade waste heat. Here, we assess whether this…
Exploiting Electrolyzer Flexibility via Multiscale Model Predictive Control Cross Heterogeneous Energy Markets
Zhichao Chen, Hongyuan Sheng, Hao Wang +1
Green hydrogen production via electrolysis is crucial for decarbonization but faces significant economic hurdles primarily due to the high cost of the electricity. However, current…
Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control
Zhichao Chen, Hao Wang, Licheng Pan +6
In this paper, we address the issue of model specification in probabilistic latent variable models (PLVMs) using an infinite-horizon optimal control approach. Traditional PLVMs rel…
Graph-Based Optimization for Technology Pathway Analysis: A Case Study in Decarbonization of University Campuses
Blake Lopez, Jiaze Ma, Victor M. Zavala
Industrial sectors such as urban centers, chemical companies, manufacturing facilities, and microgrids are actively exploring strategies to help reduce their carbon footprint. For…
Solution of Large-Scale Supply Chain Models using Graph Sampling & Coarsening
Jiaze Ma, Victor M. Zavala
We present a graph sampling and coarsening scheme (gSC) for computing lower and upper bounds for large-scale supply chain models. An edge sampling scheme is used to build a low-com…