Decarbonization Scenario Optimization

Decarbonization Scenario Optimization is a computational modeling framework that systematically identifies least-cost or least-disruption pathways for achieving specified greenhouse gas emission reduction targets across energy, industrial, and land-use systems under varying technological, policy, and socio-economic constraints.

103

Publications

5.3K

Citations

426

Authors

186

Institutions

Publications per year

2017–2026

72

Authors

426

  1. PL
    Pei Liu

    Tsinghua University, China

    3 publications · 70 citations

    3

    h-index

  2. RR
    Raymond R. Tan

    De La Salle University, Philippines

    2 publications · 99 citations

    2

    h-index

  3. YL
    Yongping Li

    University of Regina, Canada

    3 publications · 152 citations

    2

    h-index

  4. KA
    Keigo Akimoto

    Research Institute of Innovative Technology for the Earth, Japan

    2 publications · 42 citations

    2

    h-index

  5. LM
    Linwei Ma

    Tsinghua University, China

    2 publications · 48 citations

    2

    h-index

1–5 of 426

Venues

  1. Journal of Cleaner Production

    9 publications · 347 citations

    9

    h-index

  2. Applied Energy

    10 publications · 383 citations

    9

    h-index

  3. Energy Policy

    7 publications · 402 citations

    7

    h-index

  4. Energy

    6 publications · 323 citations

    6

    h-index

  5. Energies

    6 publications · 196 citations

    6

    h-index

1–5