Switzerland&amp;#x2019;s electricity trade: A short-term forecasting model and an analysis of multivariate relationships

Atukeren, Erdal; Lassmann, Andrea; Abrahamsen, Yngve

doi:10.1109/eem.2008.4579018

Cited by 1 publication

(3 citation statements)

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“…All cost data in the model are reported in 2010 Swiss Francs (CHF 2010 ). 2 The model uses a discount rate of 3 % reflecting the real long-term yield from Swiss confederation bonds plus an additional risk premium for energy sector investments [54].…”

Section: Stem-e Model Definitionmentioning

confidence: 99%

“…Energy modelling frameworks are often developed for specific objectives, with a predefined methodological scope and limited application [28]. For example, in Switzerland, a range of top-down energy-economy models [3,4,7,11,[15][16][17][18]43], bottom-up energy systems models [9,22] and sector-specific energy/electricity models [2,24,30,39,46,49,51] have been developed for analysing energy and climate change mitigation policies. Some of the models are rich in the level of technological detail, while others have a greater focus on the representation of energy-economy linkages.…”

Section: Introductionmentioning

confidence: 99%

“…2 MARKAL [22,39], ETEM [21,40], TIMES [9]. 3 MARKAL electricity model [51], Electricity trade model [2], System dynamics model [46] Prognos [49], DIME [24]. 4 Building energy model [30], SMEDE [39] generation scheduling by accounting for availability and operational constrains of different generation technologies.…”

Section: Introductionmentioning

confidence: 99%

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A Long-Term Electricity Dispatch Model with the TIMES Framework

Kannan

Turton

2012

Environ Model Assess

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A new Swiss TIMES (The Integrated MARKAL-EFOM System) electricity model with an hourly representation of inter-temporal detail and a century-long model horizon has been developed to explore the TIMES framework's suitability as a long-term electricity dispatch model. To understand the incremental insights from this hourly model, it is compared to an aggregated model with only two diurnal timeslices like in most MARKAL/TIMES models. Two scenarios have been analysed with both models to answer the following questions: Are there differences in model solutions? What are the benefits of having a high number of timeslices? Are there any computational limitations? The primary objective of this paper is to understand the differences between the solutions of the two models, rather than Swiss policy implication or potential uncertainties in input parameters and assumptions. The analysis reveals that the hourly model offers powerful insights into the electricity generation schedule. Nevertheless, the TIMES framework cannot substitute for a dispatch model because some features cannot be represented; however, the long model time horizon and integrated system approaches of TIMES provide features not available in conventional dispatch models. The methodology of the model development and insights from the model comparison are described.

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Section: Stem-e Model Definitionmentioning

confidence: 99%