Abstract
TIAM-MACRO (TM) is a mathematical programming growth
model where the global multi-region bottom-up engineering
model TIAM is linked with a top-down macroeconomic module
MACRO to maximize an inter-temporal utility function for
a single representative producer-consumer agent in each
region. The size of TM is such that non-linear (NL)
optimal solutions cannot be obtained even when the best
available personal computers and solvers are used.
Therefore, an alternative is proposed based on
decomposition methods converting TM to a small-size NL
macroeconomic model, called TIAM-MACRO Stand-Alone
(TMSA), and where the energy model TIAM is substituted by
appropriate quadratic cost-supply functions (QSF). The
TIAM model and the TMSA are calibrated to the demands
estimated with a scenario generator and are then solved
iteratively. This report concentrates on the description
and foundation of the algorithm and explains why an
adjusted production function is needed to allow for
sectoral income and price elasticities that
reproduce/calibrate the baseline scenario. It is shown
that the decomposed problem for a single region is
calibrated and solved to exactly the same results as the
original problem in 3 min of computer time instead of 2-3
h without decomposition. Also, for the first time, we are
able to solve the global TM model with 15 regions in 1.5
h applying the approach based on TMSA (in Windows 7,
64-bit workstation, solution in a single thread).
Original language | English |
---|---|
Pages (from-to) | 571-581 |
Journal | Environmental Modeling and Assessment |
Volume | 20 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2015 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Climate change
- Macroeconomic impacts
- Hybrid models
- Engineering models
- Decomposition methods