Production system and representation of economic sectors - TIAM-UCL: Difference between revisions
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We have added a simplified general equilibrium macroeconomic growth component developed by Kypreos and Lehtila (2013). | |||
Macro Stand-Alone (MSA) is a single agent; single sector, multi-regional, general equilibrium optimal growth model which maximises discounted utility of a single consumer-producer agent. | |||
GDP is comprised of consumption, investment and energy system costs. | |||
Total economic production is determined by a combination of energy, capital and labour where energy substitutes with a capital-labour composite via an elasticity of substitution parameter. | |||
Quadratic cost functions and demand decoupling factors are estimated from the calibration routine are fed from TIAM-UCL to MSA. | |||
MSA is then solved and the new energy demands are given back into TIAM-UCL which is then solved again. | |||
The iteration continues until the model converges, defined by the change in energy service demand variation between interactions slowing to within a specified tolerance. |
Revision as of 12:50, 10 October 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) |
We have added a simplified general equilibrium macroeconomic growth component developed by Kypreos and Lehtila (2013). Macro Stand-Alone (MSA) is a single agent; single sector, multi-regional, general equilibrium optimal growth model which maximises discounted utility of a single consumer-producer agent. GDP is comprised of consumption, investment and energy system costs. Total economic production is determined by a combination of energy, capital and labour where energy substitutes with a capital-labour composite via an elasticity of substitution parameter. Quadratic cost functions and demand decoupling factors are estimated from the calibration routine are fed from TIAM-UCL to MSA. MSA is then solved and the new energy demands are given back into TIAM-UCL which is then solved again. The iteration continues until the model converges, defined by the change in energy service demand variation between interactions slowing to within a specified tolerance.