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Energy-system model

Unlike the perfect foresight approach used in most energy system models. For a discussion of the different methodological approaches of energy system models see Enzensberger (2003). [Pg.393]

Joffe, D. Strachan, N. and Balta-Ozkan, N. (2007). Representation of Hydrogen in the UK, US and Netherlands MARKAL Energy Systems Models. UK Sustainable Hydrogen Energy Consortium (UKSHEC), Social Science Working Paper No. 29. London Policy Studies Institute. [Pg.451]

Table 4.2 elucidates the quantitative results of these calculations. The cost efficiency approach leads to an emission reduction for the sectors covered by emissions trading, which for the period 2005-2007 is about 36 Mt CO2 below the average emissions during the 2000-2002 base period. For the period 2008-2012, the model even produced an emission reduction of 86 Mt CO2 compared with the base period levels. The prominent role of input data, as well as the specific problems of the optimisation approach of the energy system model which was deployed, is above all apparent in the target value for the transportation sector. Here, the measures to reduce emissions are not cost-efficient from the perspective of the macroeconomic optimisation approach. [Pg.79]

The modelling set for medium-term forecasting was used, consisting of the three models (1) macroeconomic CGE-PL model, (2) final energy demand model (PROSK-E) and (3) energy system model (EFOM-PL). [Pg.308]

Endo E (2007), Market penetration analysis of fuel cell vehicles in Japan by using the energy system model MARKAL. International Journal of Hydrogen Energy, 32,1347-1354. [Pg.672]

Chapter 11, building system modeling, energy calculations... [Pg.680]

NEW NANO- THROUGH MACRO-CARBONS FOR ENERGY SYSTEMS SYNTHESIS, MODELING, CHARACTERIZATION... [Pg.389]

Investment decision support for integrated Heuristic regional infrastructure build-up Model for energy systems contains all LP... [Pg.389]

Global model for energy systems contains LP all components of the energy sector Spatial and temporal infrastructure LP, mixed... [Pg.389]

To overcome those deficits of existing instruments, the MOREHyS (Model for Optimisation of Regional Hydrogen Supply) model was developed as a novel tool to assess the introduction of hydrogen as a vehicle fuel by means of an energy-system analysis.2 In the next section, the main features of the MOREHyS model are described. [Pg.390]

To assess possible trade-offs with the conventional energy system, the model also contains a comprehensive data set of the German power sector, which may be extended to any other geographical scope (see also Chapter 16). [Pg.410]


See other pages where Energy-system model is mentioned: [Pg.388]    [Pg.388]    [Pg.394]    [Pg.398]    [Pg.399]    [Pg.536]    [Pg.546]    [Pg.647]    [Pg.148]    [Pg.965]    [Pg.375]    [Pg.247]    [Pg.602]    [Pg.316]    [Pg.75]    [Pg.77]    [Pg.80]    [Pg.388]    [Pg.388]    [Pg.394]    [Pg.398]    [Pg.399]    [Pg.536]    [Pg.546]    [Pg.647]    [Pg.148]    [Pg.965]    [Pg.375]    [Pg.247]    [Pg.602]    [Pg.316]    [Pg.75]    [Pg.77]    [Pg.80]    [Pg.34]    [Pg.165]    [Pg.250]    [Pg.402]    [Pg.175]    [Pg.24]    [Pg.371]    [Pg.77]    [Pg.509]    [Pg.307]    [Pg.57]    [Pg.428]    [Pg.386]    [Pg.387]    [Pg.387]    [Pg.388]    [Pg.388]    [Pg.390]    [Pg.391]    [Pg.391]    [Pg.391]   
See also in sourсe #XX -- [ Pg.388 ]




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