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</script>Installation and running the model It is necessary to install Calliope to run the model. Instructions for installation and running the model are available at:https://calliope.readthedocs.io/. Temporal resolution The temporal resolution of the model is 6 hours by default. You can set the model with another resolution in the "overrides" file: time_resampling: model.time: {function: resample, function_options: {'resolution': '6H'}} Note that running the model might be computationally expensive. The full model contains one year of data. To test the model, specify a shorter time subset in the "overrides" file > weather years. For instance, over ten days of data: year_2010: model.subset_time: ['2010-01-01', '2010-01-10'] Scenarios The scenario names are structured as follows: bias correction factor case + scenario name+ weather year. Example: low_baseline_2019 Bias correction factor case: Low: represents the 25th percentile of bias correction factor at farm level aggregated by state; Median: represents the 50th percentile of bias correction factor at farm level aggregated by state; Up: represents the 75th percentile of bias correction factor at farm level aggregated by state; Scenario name baseline: status quo; offshore wind farm capex reduction: capex is reduced by 10%, 30%, 50%, and 70%; natural gas prices: in gas low, the gas price is US$ 24.87, while in gas high, US$ 62.05; offshore wind farm capex reduction + natural gas price: capex reduction (10%,30%,50%, and 70%) combined with the high price of natural gas. Weather year Weather years include data from 2000 to 2019.
Power sector modelling, Brazil, Offshore wind energy
Power sector modelling, Brazil, Offshore wind energy
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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