Technological change in energy - TIAM-UCL: Difference between revisions
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Revision as of 11:07, 17 August 2016
| Corresponding documentation | |
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| 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 includes exogenously determined through cost-reductions and efficiency improvements through the various different technolgies available, although learning by doing has also been used in specific studies. R&D expenditures are not explicitly considered.
Technology vintages are full represented and explicit growth and decline constraints can be used to simulate the diffusion and phase out of technologies.
Representation of inertias and path-dependencies, e.g. via capacity stocks, knowledges stocks (cf. technological change), constraints of the expansion and decline of technology deployment, and early retirements of fossil capacities are all included.
Endogenous technological learning is possible but not when running the Climate Module