Abstract
This paper presents a new concept to include uncertainty management in energy and environmental planning models developed in algebraic modeling languages. SETSTOCH is a tool for linking algebraic modeling languages with specialized stochastic programming solvers. Its main role is to retrieve from the modeling language a dynamically ordered core model (baseline scenario) that is sent automatically to the stochastic solver. The case presented herein concerns such a study realized with the IEA-MARKAL model used by many research teams around the world.
| Original language | English |
|---|---|
| Pages (from-to) | 145-155 |
| Number of pages | 11 |
| Journal | Environmental Modeling and Assessment |
| Volume | 5 |
| Issue number | 3 |
| Publication status | Published - 2000 |
Keywords
- Sustainability
- Atmospheric pollutants
- Decomposition algorithm
- Energy modeling
- MARKAL
- Stochastic programming
- Structure exploiting solver
- Algebraic modeling languages
ASJC Scopus subject areas
- General Environmental Science
- Environmental Chemistry