Operational Optimization

Operational Optimization is a methodological framework within engineering and systems management that systematically enhances the efficiency, reliability, and cost-effectiveness of industrial processes by identifying and implementing optimal operating conditions through dynamic modeling, real-time data integration, and performance feedback specific to district cooling and steam-assisted gravity drainage systems.

384

Publications

15.9K

Citations

1.2K

Authors

431

Institutions

Publications per year

2017–2026

179

Authors

1.2K

  1. TC
    Tianyou Chai

    Northeastern University, China

    11 publications · 554 citations

    11

    h-index

  2. JD
    Jinliang Ding

    Northeastern University, China

    7 publications · 309 citations

    7

    h-index

  3. CL
    Christopher L.E. Swartz

    McMaster University, Canada

    5 publications · 142 citations

    5

    h-index

  4. RS
    Robin Smith

    University of Manchester, United Kingdom

    3 publications · 154 citations

    4

    h-index

  5. MR
    Michael R. von Spakovsky

    Virginia Tech, United States

    4 publications · 76 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. Computers & Chemical Engineering

    19 publications · 893 citations

    17

    h-index

  2. Applied Energy

    15 publications · 1.2K citations

    16

    h-index

  3. Energy

    16 publications · 853 citations

    15

    h-index

  4. Industrial & Engineering Chemistry Research

    14 publications · 464 citations

    14

    h-index

  5. AIChE Journal

    10 publications · 415 citations

    10

    h-index

1–5