public void Run()
{
// Load parameters
var parameters = new Parameters();
parameters.ReadDirectory(@"Data\Base");
// Get best guess parameter values
var parameterValues = parameters.GetBestGuess();
// Create a new model that inits itself from the parameters just loaded
var model = FundModel.GetModel();
// Run the model
var rs = model.Run(parameterValues);
// Display all variables in interactive window
OutputHelper.ShowModel(rs);
}
public static void Run()
{
int monteCarloRuns = 10000;
// Load parameters
var parameters = new Parameters();
parameters.ReadDirectory(@"Data\Base");
// Do one best guess run
{
var model = FundModel.GetModel();
//var model = new FundWorkflow(parameters.GetBestGuess());
model.Run(parameters.GetBestGuess());
}
int currentRun = 0;
var stopwatch = new Stopwatch();
stopwatch.Start();
ParallelMonteCarlo.DoParallelRun(
parameters,
monteCarloRuns,
p =>
{
var m = FundModel.GetModel();
m.Run(p);
int tempCurrentCount = Interlocked.Increment(ref currentRun);
Console.Write("\rRun {0} ", tempCurrentCount);
return(0.0);
},
d => 0.0);
stopwatch.Stop();
Console.WriteLine();
Console.WriteLine(stopwatch.Elapsed);
}
private static Tuple <double, double> GetSCGasMonteCarlo(MarginalGas gas, double prtp, bool equityWeights, int monteCarloRuns)
{
var parameters = new Parameters();
parameters.ReadDirectory(@"Data\Base");
var fm = FundModel.GetModel();
fm.Run(parameters.GetBestGuess());
var rand = new jp.takel.PseudoRandom.MersenneTwister();
var sccs = new System.Collections.Concurrent.ConcurrentBag <double>();
Parallel.ForEach(parameters.GetRandom(rand, monteCarloRuns), pv =>
{
var m = new MarginalDamage3()
{
EmissionYear = Timestep.FromYear(2010),
Eta = 1.0,
Gas = gas,
Parameters = pv,
Prtp = prtp,
UseEquityWeights = equityWeights,
YearsToAggregate = 290
};
double scc = m.Start();
sccs.Add(scc);
});
var stats = new DescriptiveStatistics(sccs);
return(Tuple.Create(stats.Mean, Math.Sqrt(stats.Variance) / Math.Sqrt(stats.Count)));
}
public double[] DoOneRun(int RunId, WeightingCombination[] i_weightingCombinations, ParameterValues parameters)
{
ModelOutput i_output2;
Damages i_marginalDamages;
double i_aggregatedDamage;
ModelOutput i_output1;
// Create Output object for run 1, set addmp to 0 so that
// the extra greenhouse gases are not emitted and then run
// the model
i_output1 = new ModelOutput();
var f1 = FundModel.GetModel();
f1["ImpactWaterResources"].Variables["water"].StoreOutput = true;
f1["ImpactForests"].Variables["forests"].StoreOutput = true;
f1["ImpactHeating"].Variables["heating"].StoreOutput = true;
f1["ImpactCooling"].Variables["cooling"].StoreOutput = true;
f1["ImpactAgriculture"].Variables["agcost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["drycost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["protcost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["entercost"].StoreOutput = true;
f1["ImpactTropicalStorms"].Variables["hurrdam"].StoreOutput = true;
f1["ImpactExtratropicalStorms"].Variables["extratropicalstormsdam"].StoreOutput = true;
f1["ImpactBioDiversity"].Variables["species"].StoreOutput = true;
f1["ImpactDeathMorbidity"].Variables["deadcost"].StoreOutput = true;
f1["ImpactDeathMorbidity"].Variables["morbcost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["wetcost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["leavecost"].StoreOutput = true;
f1["SocioEconomic"].Variables["income"].StoreOutput = true;
f1["Population"].Variables["population"].StoreOutput = true;
if (AdditionalInitCode != null)
{
AdditionalInitCode(f1);
}
var result1 = f1.Run(parameters);
i_output1.Load(result1);
// Create Output object for run 2, set addmp to 1 so that
// the extra greenhouse gases for the marginal run are
// emitted and then run the model
i_output2 = new ModelOutput();
var f2 = FundModel.GetModel();
f2["ImpactWaterResources"].Variables["water"].StoreOutput = true;
f2["ImpactForests"].Variables["forests"].StoreOutput = true;
f2["ImpactHeating"].Variables["heating"].StoreOutput = true;
f2["ImpactCooling"].Variables["cooling"].StoreOutput = true;
f2["ImpactAgriculture"].Variables["agcost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["drycost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["protcost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["entercost"].StoreOutput = true;
f2["ImpactTropicalStorms"].Variables["hurrdam"].StoreOutput = true;
f2["ImpactExtratropicalStorms"].Variables["extratropicalstormsdam"].StoreOutput = true;
f2["ImpactBioDiversity"].Variables["species"].StoreOutput = true;
f2["ImpactDeathMorbidity"].Variables["deadcost"].StoreOutput = true;
f2["ImpactDeathMorbidity"].Variables["morbcost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["wetcost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["leavecost"].StoreOutput = true;
f2["SocioEconomic"].Variables["income"].StoreOutput = true;
f2["Population"].Variables["population"].StoreOutput = true;
if (AdditionalInitCode != null)
{
AdditionalInitCode(f2);
}
f2.AddComponent("marginalemission", typeof(Fund.Components.MarginalEmissionComponent), "emissions");
f2["marginalemission"].Parameters["emissionperiod"].SetValue(_emissionyear);
switch (_gas)
{
case MarginalGas.C:
f2["marginalemission"].Parameters["emission"].Bind("emissions", "mco2");
f2["climateco2cycle"].Parameters["mco2"].Bind("marginalemission", "modemission");
break;
case MarginalGas.CH4:
f2["marginalemission"].Parameters["emission"].Bind("emissions", "globch4");
f2["climatech4cycle"].Parameters["globch4"].Bind("marginalemission", "modemission");
break;
case MarginalGas.N2O:
f2["marginalemission"].Parameters["emission"].Bind("emissions", "globn2o");
f2["climaten2ocycle"].Parameters["globn2o"].Bind("marginalemission", "modemission");
break;
case MarginalGas.SF6:
f2["marginalemission"].Parameters["emission"].Bind("emissions", "globsf6");
f2["climatesf6cycle"].Parameters["globsf6"].Bind("marginalemission", "modemission");
break;
default:
throw new NotImplementedException();
}
var result2 = f2.Run(parameters);
i_output2.Load(result2);
Fund28LegacyWeightingCombinations.GetWeightingCombinationsFromName(this.WeightingCombination, out i_weightingCombinations, _emissionyear);
// Take out growth effect effect of run 2 by transforming
// the damage from run 2 into % of GDP of run 2, and then
// multiplying that with GDP of run 1
for (int year = 1; year < LegacyConstants.NYear; year++)
{
for (int region = 0; region < LegacyConstants.NoReg; region++)
{
for (int sector = 0; sector < LegacyConstants.NoSector; sector++)
{
i_output2.Damages[year, region, (Sector)sector] = (i_output2.Damages[year, region, (Sector)sector] / i_output2.Incomes[year, region]) * i_output1.Incomes[year, region];
}
}
}
// Calculate the marginal damage between run 1 and 2 for each
// year/region/sector
i_marginalDamages = Damages.CalculateMarginalDamage(i_output1.Damages, i_output2.Damages);
double[] i_weightedAggregatedDamages = new double[i_weightingCombinations.Length];
for (int i = 0; i < i_weightingCombinations.Length; i++)
{
i_weightingCombinations[i].CalculateWeights(i_output1);
i_aggregatedDamage = i_weightingCombinations[i].AddDamagesUp(i_marginalDamages, YearsToAggregate, _emissionyear);
i_weightedAggregatedDamages[i] = i_aggregatedDamage;
WriteAggregateDamage(RunId, i, i_aggregatedDamage, i_weightingCombinations);
// Console.Write(i_weightingCombinations[i].Name + ": ");
// Console.WriteLine(Convert.ToString(i_aggregatedDamage));
}
if (m_YearRegionSectorWeightingSchemeCsv != null)
{
foreach (var i_Damage in i_marginalDamages)
{
if ((i_Damage.Year >= _emissionyear.Value) && (i_Damage.Year < _emissionyear.Value + this.YearsToAggregate))
{
for (int k = 0; k < i_weightingCombinations.Length; k++)
{
WriteMarginalDamage(RunId, i_Damage, k, i_weightingCombinations[k][i_Damage.Year, i_Damage.Region], i_weightingCombinations);
}
}
}
}
return(i_weightedAggregatedDamages);
}
public static void Run()
{
// Load parameters
var parameters = new Parameters();
parameters.ReadDirectory(@"Data\Base");
// Get best guess parameter values
var parameterValues = parameters.GetBestGuess();
// Create a new model that inits itself from the parameters just loaded
var model1 = FundModel.GetModel();
// Run the model
var rs1 = model1.Run(parameterValues);
var d1 = from p in rs1.GetDimensionalFieldsOperator()
where p.Values is IVariableWriter
orderby p.ComponentName, p.FieldName
select new { ComponentName = p.ComponentName, FieldName = p.FieldName };
// This will hold results from a BAU run
Directory.CreateDirectory("JuliaComp1");
foreach (var i in d1)
{
using (var file = new StreamWriter(@"JuliaComp1\" + i.ComponentName + "." + i.FieldName + ".csv"))
{
(rs1[i.ComponentName, i.FieldName] as IVariableWriter).WriteData(file);
}
}
// Create a new model that inits itself from the parameters just loaded
var model2 = FundModel.GetModel();
var tax_series = new List <double>();
tax_series.AddRange(Enumerable.Range(0, 1050).Select(asdf => 25.0));
model2["emissions"].Parameters["currtax"].SetValue <Timestep, Region, double>((i_t, i_r) => tax_series[i_t.Value]);
model2["emissions"].Parameters["currtaxch4"].SetValue <Timestep, Region, double>((i_t, i_r) => tax_series[i_t.Value]);
model2["emissions"].Parameters["currtaxn2o"].SetValue <Timestep, Region, double>((i_t, i_r) => tax_series[i_t.Value]);
// Run the model
var rs2 = model2.Run(parameterValues);
var d2 = from p in rs2.GetDimensionalFieldsOperator()
where p.Values is IVariableWriter
orderby p.ComponentName, p.FieldName
select new { ComponentName = p.ComponentName, FieldName = p.FieldName };
// This will hold results from a policy run
Directory.CreateDirectory("JuliaComp2");
foreach (var i in d2)
{
using (var file = new StreamWriter(@"JuliaComp2\" + i.ComponentName + "." + i.FieldName + ".csv"))
{
(rs2[i.ComponentName, i.FieldName] as IVariableWriter).WriteData(file);
}
}
}
public double Start()
{
int yearsToRun = Math.Min(1049, EmissionYear.Value + YearsToAggregate);
var f1 = FundModel.GetModel(storeFullVariablesByDefault: false, years: yearsToRun);
f1["impactwaterresources"].Variables["water"].StoreOutput = true;
f1["ImpactForests"].Variables["forests"].StoreOutput = true;
f1["ImpactHeating"].Variables["heating"].StoreOutput = true;
f1["ImpactCooling"].Variables["cooling"].StoreOutput = true;
f1["ImpactAgriculture"].Variables["agcost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["drycost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["protcost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["entercost"].StoreOutput = true;
f1["ImpactTropicalStorms"].Variables["hurrdam"].StoreOutput = true;
f1["ImpactExtratropicalStorms"].Variables["extratropicalstormsdam"].StoreOutput = true;
f1["ImpactBioDiversity"].Variables["species"].StoreOutput = true;
f1["ImpactDeathMorbidity"].Variables["deadcost"].StoreOutput = true;
f1["ImpactDeathMorbidity"].Variables["morbcost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["wetcost"].StoreOutput = true;
f1["ImpactSeaLevelRise"].Variables["leavecost"].StoreOutput = true;
f1["socioeconomic"].Variables["income"].StoreOutput = true;
f1["Population"].Variables["population"].StoreOutput = true;
if (AdditionalInitMethod != null)
{
AdditionalInitMethod(f1);
}
var result1 = f1.Run(Parameters);
var i_output1 = new ModelOutput();
i_output1.Load(result1, years: yearsToRun);
var f2 = FundModel.GetModel(storeFullVariablesByDefault: false, years: yearsToRun);
f2["impactwaterresources"].Variables["water"].StoreOutput = true;
f2["ImpactForests"].Variables["forests"].StoreOutput = true;
f2["ImpactHeating"].Variables["heating"].StoreOutput = true;
f2["ImpactCooling"].Variables["cooling"].StoreOutput = true;
f2["ImpactAgriculture"].Variables["agcost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["drycost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["protcost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["entercost"].StoreOutput = true;
f2["ImpactTropicalStorms"].Variables["hurrdam"].StoreOutput = true;
f2["ImpactExtratropicalStorms"].Variables["extratropicalstormsdam"].StoreOutput = true;
f2["ImpactBioDiversity"].Variables["species"].StoreOutput = true;
f2["ImpactDeathMorbidity"].Variables["deadcost"].StoreOutput = true;
f2["ImpactDeathMorbidity"].Variables["morbcost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["wetcost"].StoreOutput = true;
f2["ImpactSeaLevelRise"].Variables["leavecost"].StoreOutput = true;
f2["socioeconomic"].Variables["income"].StoreOutput = true;
f2["Population"].Variables["population"].StoreOutput = true;
if (AdditionalInitMethod != null)
{
AdditionalInitMethod(f2);
}
f2.AddComponent("marginalemission", typeof(Fund.Components.MarginalEmissionComponent), "emissions");
f2["marginalemission"].Parameters["emissionperiod"].SetValue(EmissionYear);
switch (Gas)
{
case MarginalGas.C:
f2["marginalemission"].Parameters["emission"].Bind("emissions", "mco2");
f2["climateco2cycle"].Parameters["mco2"].Bind("marginalemission", "modemission");
break;
case MarginalGas.CH4:
f2["marginalemission"].Parameters["emission"].Bind("emissions", "globch4");
f2["climatech4cycle"].Parameters["globch4"].Bind("marginalemission", "modemission");
break;
case MarginalGas.N2O:
f2["marginalemission"].Parameters["emission"].Bind("emissions", "globn2o");
f2["climaten2ocycle"].Parameters["globn2o"].Bind("marginalemission", "modemission");
break;
case MarginalGas.SF6:
f2["marginalemission"].Parameters["emission"].Bind("emissions", "globsf6");
f2["climatesf6cycle"].Parameters["globsf6"].Bind("marginalemission", "modemission");
break;
default:
throw new NotImplementedException();
}
var result2 = f2.Run(Parameters);
var i_output2 = new ModelOutput();
i_output2.Load(result2, years: yearsToRun);
// Take out growth effect effect of run 2 by transforming
// the damage from run 2 into % of GDP of run 2, and then
// multiplying that with GDP of run 1
for (int year = 1; year < LegacyConstants.NYear; year++)
{
for (int region = 0; region < LegacyConstants.NoReg; region++)
{
for (int sector = 0; sector < LegacyConstants.NoSector; sector++)
{
i_output2.Damages[year, region, (Sector)sector] = (i_output2.Damages[year, region, (Sector)sector] / i_output2.Incomes[year, region]) * i_output1.Incomes[year, region];
}
}
}
// Calculate the marginal damage between run 1 and 2 for each
// year/region/sector
var i_marginalDamages = Damages.CalculateMarginalDamage(i_output1.Damages, i_output2.Damages);
var weightingcom = new WeightingCombination();
if (UseEquityWeights)
{
weightingcom.Add(new ConstantDiscountrate(Prtp, EmissionYear.Value));
weightingcom.Add(new EquityWeighting(EmissionYear.Value, -1, Eta));
}
else
{
weightingcom.Add(new RamseyRegionalDiscounting(Prtp, Eta, EmissionYear.Value));
}
weightingcom.CalculateWeights(i_output1);
var i_aggregatedDamage = weightingcom.AddDamagesUp(i_marginalDamages, YearsToAggregate, EmissionYear);
return(i_aggregatedDamage);
}