2006
DOI: 10.15173/esr.v14i1.480
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A Time Step Energy Process Model for Germany - Model Structure and Results

Abstract: The new IKARUS-Model is a time-step dynamical bottom-up linear optimization model where each time interval is optimized by itself using the heritage from all periods before. Contrary to perfect-foresight models, this model does not take into account future changes in each time-step optimization. It therefore shows a more realistic character of prognosis and projection. Aspects like reaction on sudden changes (e.g. of energy prices), flexibility of technical scenarios, lost opportunities etc. can be examined. I… Show more

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Cited by 35 publications
(23 citation statements)
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“…Energy system models are broadly applied in energy economics to assist in making investment decisions and/or the dispatching of power plants based on assumptions of the future energy system [1][2][3][4]. In the years to come, the complexity of the energy system will increase due to a raising share of renewable resources and the decentralisation of the electricity provision [5].…”
Section: Introductionmentioning
confidence: 99%
“…Energy system models are broadly applied in energy economics to assist in making investment decisions and/or the dispatching of power plants based on assumptions of the future energy system [1][2][3][4]. In the years to come, the complexity of the energy system will increase due to a raising share of renewable resources and the decentralisation of the electricity provision [5].…”
Section: Introductionmentioning
confidence: 99%
“…Some recent models have started to elaborate with iterative limited foresight (Martinsen, et al 2004, Nyqvist, 2005. These models do not find the optimal energy system from a social planner's perspective, but they are better suited at simulating market behaviour.…”
mentioning
confidence: 99%
“…Model users can mimic non-cost barriers to technology diffusion by using hurdle rates and heterogeneous decision making [114], incorporating behavioural demand responses to higher energy prices using price elasticities of demand [115], or implementing myopic foresight (e.g. [116], [117]). This paper has illustrated one such approach in a system dynamic model that combines all of the above elements, but further research is clearly needed for these techniques to become widespread.…”
Section: Implications For Research and Science-policy Discoursementioning
confidence: 99%