Model Documentation - TIAM-UCL: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| (2 intermediate revisions by the same user not shown) | |||
| Line 4: | Line 4: | ||
|DocumentationCategory=Model Documentation | |DocumentationCategory=Model Documentation | ||
}} | }} | ||
TIAM-UCL is a global energy systems model that is usually run along with a climate module (MAGICC) and economic module (Macro Stand-Alone) in order to assess long-term energy decarbonisation scenarios | TIAM-UCL is a global energy systems model that is usually run along with a climate module (calibrated to MAGICC) and an aggregated economic module (Macro Stand-Alone) in order to assess long-term energy decarbonisation scenarios and pathways. | ||
The model is called the TIMES Integrated Assessment Model in UCL. TIMES is itself an acronym for ‘The Integrated MARKAL-EFOM System’. | |||
The framework is akin to that of a long-term social planner with perfect foresight that acheives exogenous energy demands at lowest cost given detailed energy technology assumptions and specified constraints | |||
Latest revision as of 16:42, 12 December 2016
| Corresponding documentation | |
|---|---|
| Previous versions | |
| Model information | |
| Model link | |
| Institution | University College London (UCL), UK, https://www.ucl.ac.uk. |
| Solution concept | Partial equilibrium (price elastic demand) |
| Solution method | Linear optimisation |
| Anticipation | Perfect Foresight
(Stochastic and myopic runs are also possible) |
TIAM-UCL is a global energy systems model that is usually run along with a climate module (calibrated to MAGICC) and an aggregated economic module (Macro Stand-Alone) in order to assess long-term energy decarbonisation scenarios and pathways.
The model is called the TIMES Integrated Assessment Model in UCL. TIMES is itself an acronym for ‘The Integrated MARKAL-EFOM System’.
The framework is akin to that of a long-term social planner with perfect foresight that acheives exogenous energy demands at lowest cost given detailed energy technology assumptions and specified constraints