Пример #1
0
        public void Run()
        {
            WeightingCombination[] i_weightingCombinations;
            TextWriter             lDimWeightingschemeCsv;

            var parameters = _parameters.GetBestGuess();

            Fund28LegacyWeightingCombinations.GetWeightingCombinationsFromName(_run.WeightingCombination, out i_weightingCombinations, _emissionYear);

            lDimWeightingschemeCsv = new StreamWriter(Path.Combine(_outputPath, "Output - Dim Weightingscheme.csv"));
            for (int i = 0; i < i_weightingCombinations.Length; i++)
            {
                lDimWeightingschemeCsv.WriteLine(i.ToString() + ";" + i_weightingCombinations[i].Name);
            }

            lDimWeightingschemeCsv.Close();

            for (int i = 0; i <= _run.MonteCarloRuns; i++)
            {
                if (i == 0)
                {
                    Console.WriteLine("Best guess run ");

                    parameters = _parameters.GetBestGuess();
                    //_parameters.WriteValuesToCsv(_run.Scenario.Id, i,
                    //     m_GlobalInputCsv, m_RegionInputCsv, m_YearInputCsv, m_RegionYearInputCsv);
                }
                else
                {
                    Console.WriteLine("Run " + i.ToString());

                    parameters = _parameters.GetRandom(_rand);
                    //_parameters.WriteValuesToCsv(_run.Scenario.Id, i,
                    //     m_GlobalInputCsv, m_RegionInputCsv, m_YearInputCsv, m_RegionYearInputCsv);
                }

                DoOneRun(i, i_weightingCombinations, parameters);
            }
        }
Пример #2
0
        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);
        }
Пример #3
0
        // DA: Run the model once, write away income (GDP), population, market impacts, non market
        // impacts (prn files)
        // Run the model again, with a slightly higher emissions, additional emissions are in the file
        // addco2.001 (million ton of carbons) Write the results of the second run out to (out files)
        public double[] Run()
        {
            WeightingCombination[] i_weightingCombinations;

            Fund28LegacyWeightingCombinations.GetWeightingCombinationsFromName(this.WeightingCombination, out i_weightingCombinations, _emissionyear);

            var sccResults = new ConcurrentBag <double> [i_weightingCombinations.Length];

            sccResults = new ConcurrentBag <double> [i_weightingCombinations.Length];

            for (int l = 0; l < i_weightingCombinations.Length; l++)
            {
                sccResults[l] = new ConcurrentBag <double>();
            }

            Console.Write("Best guess run ");

            var parameters = _parameters.GetBestGuess();

            var bgRes = DoOneRun(0, i_weightingCombinations, parameters);

            int currentRun = 0;

            int batchSize = 100;

            int batchCount = (MonteCarloRuns / batchSize) + 1;

            for (int currentBatch = 0; currentBatch < batchCount; currentBatch++)
            {
                int runsForThisBatch = currentBatch == batchCount - 1 ? MonteCarloRuns % batchSize : batchSize;

                Parallel.ForEach(
                    _parameters.GetRandom(_rand, runsForThisBatch, currentBatch * batchSize),
                    () =>
                {
                    Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
                    Thread.CurrentThread.Priority       = ThreadPriority.BelowNormal;
                    return(0);
                },
                    (p, pls, dummy) =>
                {
                    int tempCurrentCount = Interlocked.Increment(ref currentRun);
                    Console.Write("\rRun {0}                ", tempCurrentCount);

                    var mcRes = DoOneRun(p.RunId.Value, i_weightingCombinations, p);

                    if (!double.IsNaN(mcRes[0]) && !double.IsInfinity(mcRes[0]))
                    {
                        for (int l = 0; l < i_weightingCombinations.Length; l++)
                        {
                            sccResults[l].Add(mcRes[l]);
                        }
                    }

                    return(0);
                },
                    (dummy) => { });
                GC.Collect();
            }
            Console.WriteLine();

            double[] res2 = new double[i_weightingCombinations.Length];

            if (MonteCarloRuns > 0)
            {
                for (int l = 0; l < i_weightingCombinations.Length; l++)
                {
                    res2[l] = sccResults[l].Average();

                    WriteAggregateDamage(-1, l, res2[l], i_weightingCombinations);

                    WriteSummaryDamage(l, bgRes[l], sccResults[l], i_weightingCombinations);
                }
            }

            return(res2);
        }