Energy Supply and Demand
The IMAGE Energy Regional Model (TIMER) is an global energy model. Its main objective is to analyse the long-term trends in energy demand and efficiency and the possible transition towards renewable energy sources.
TIMER: Model outline and structureOverviewThe TIMER model describes the chain from demand for energy services (useful energy) to supply of energy by different primary energy sources and related emissions (Figure 2). The links in the chain are connected by demand for energy (from left to right) and by feedbacks, mainly in the form of energy prices (from right to left). The TIMER model has three types of submodels:
Some of the main assumptions for the different sources and technologies are listed in the main assumptions table.
Final energy demandFinal energy demand (for five sectors and eight energy carriers) is modelled as a function of changes in population, economic activity and energy intensity. The model distinguishes four dynamic factors: structural change, autonomous energy efficiency improvement, price-induced energy efficiency improvement and price-based fuel substitution. Electric power generationThe electric power generation sub-model simulates investments in various electricity production technologies and their use in response to electricity demand and to changes in relative generation costs (see also Hoogwijk, 2004). Fossil fuels and bio-energy can be used to generate electricity in a total of 20 different plant types that represent different combinations of
The efficiency and capital requirement of these plant types are determined by exogenous assumptions that describe technological progress of typical components of these plants (the characteristics of the total set are derived from these typical components). Hydrogen productionA similar model exists for hydrogen production (but with slightly less detail). Resource depletion of fossil fuels and uraniumTo model resource depletion of fossil fuels and uranium, several resource categories, depleted in order of their costs (12 categories for oil, gas and nuclear fuels, 14 for coal), are defined. Production costs thus rise as each subsequent category is exploited. The final production costs in each region thus represent the combined influence of learning-by-doing and resource depletion. Depletion is determined by subsequent depletion of the 10-14 fuel classes. The learning parameter leads to lower costs with increasing cumulated production. In the trade formulation, each region imports fuel from other regions, depending on the ratios between the production costs in the other regions plus transport costs, and the production costs within the region considered (multinomial logit). Transportation costs are the product of the representative interregional distances and time- and fuel-dependent estimates of the costs per GJ per km. To reflect geographical, political and other constraints in the interregional fuel trade, an additional parameter is used to simulate the existence of trade barriers between regions. Biomass sub-modelThe structure of the biomass sub-model is similar to that of the fossil fuel supply models but with a few important differences.
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