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Optimization of Process Families for Improved Deployment of Industrial Decarbonization using ML Surrogates

Conference ·
OSTI ID:1987702
 [1];  [1];  [2];  [3];  [2];  [1]
  1. Carnegie Mellon University (CMU)
  2. NETL Site Support Contractor, National Energy Technology Laboratory
  3. Sandia National Laboratories (SNL)

This work demonstrates the IDAES process family framework and the computational benefits of these formulations on a family of transcritical CO2 refrigeration cycles to meet a range of design criteria over both cooling capacity and outside air temperature.

Research Organization:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE)
DOE Contract Number:
89243323CFE000075
OSTI ID:
1987702
Country of Publication:
United States
Language:
English

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