孔广洋 / synthesize_energy_project · 提交

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作者 wwmin
提交 17d9e302b9a1dc3580b7ae1ebe0784a1c927710e 1 个父辈 04761778

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正在显示 1 个修改的文件 包含 21 行增加 和 19 行删除
... ... @@ -628,7 +628,8 @@ public class ProjectServiceImpl implements ProjectService {
Double num1 = Double.valueOf(df.format(photovoltaicInstall * synthesizeNo26ServiceById.getNo18() / 10));
no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1)));
synthesize_no_3_6.setNo36(num1);
Double num2 = Double.valueOf(df.format(electricityAll * synthesize_no_2_5.getElectricitySellingPrice() / 10000));
// Double num2 = Double.valueOf(df.format(electricityAll * synthesize_no_2_5.getElectricitySellingPrice() / 10000));
Double num2 = Double.valueOf(df.format(synthesize_no_3_6.getNo51() * synthesize_no_2_5.getElectricitySellingPrice() / 10000));
no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(num2)));
synthesize_no_3_6.setNo24(num2);
Double num3 = Double.valueOf(df.format(photovoltaicInstall * synthesizeNo26ServiceById.getNo17() * 1000 / 10000));
... ... @@ -848,7 +849,7 @@ public class ProjectServiceImpl implements ProjectService {
}
if (calculateLoad.getNo3().equals(calculateLoad.getNo33())) {
for (Synthesize_no_2_1 synthesizeNo21 : synthesize_no_2_1s) {
hotLoadAll += synthesizeNo21.getDesignCoolingLoadIndex();
coldLoadAll += synthesizeNo21.getDesignCoolingLoadIndex();
}
//coldLoadAll += coldLoadDataMapper.queryName(zd_name, dict.getId());
} else {
... ... @@ -1241,12 +1242,13 @@ public class ProjectServiceImpl implements ProjectService {
* =10*150*供冷面积*设计冷负荷*0.75/1000
* 8 * 150 * coldArea * coldLoadAll * 0.75 / 1000
*/
double annualTotalHeatRequirement = 0.0;
double annualTotalColdRequirement = 0.0;
for (CalculateLoad calculateLoad : list1) {
annualTotalHeatRequirement += calculateLoad.getNo33();
annualTotalColdRequirement += calculateLoad.getNo33();
}
java.text.NumberFormat nf = java.text.NumberFormat.getInstance();
nf.setGroupingUsed(false);
/**年总需热量*/
double AnnualTotalHeatRequirement = 0.0;
for (CalculateLoad calculateLoad : list1) {
AnnualTotalHeatRequirement += calculateLoad.getNo22();
... ... @@ -1269,7 +1271,7 @@ public class ProjectServiceImpl implements ProjectService {
* 选择单位 元/GJ
* 供冷收入=供总需冷量*售冷价格
*/
coolingIncome = annualTotalHeatRequirement * synthesize_no_2_5.getColdSellingPrice();
coolingIncome = annualTotalColdRequirement * synthesize_no_2_5.getColdSellingPrice();
}
synthesize_no_3_6.setNo3(Double.valueOf(df.format(coolingIncome)));
... ... @@ -1294,7 +1296,7 @@ public class ProjectServiceImpl implements ProjectService {
/**
* 空气源热泵（制冷）年供冷量=年总需热量/0.9
*/
synthesize_no_3_6.setNo58(Double.valueOf(df.format(annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100)));
synthesize_no_3_6.setNo58(Double.valueOf(df.format(annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100)));
synthesize_no_3_6.setNo18(Double.valueOf(df.format(airSourceHeatPump)));
No_3_1_1_1Dto no_3_1_1_1Dto = new No_3_1_1_1Dto();
no_3_1_1_1Dto.setName(array2[8]);
... ... @@ -1302,14 +1304,14 @@ public class ProjectServiceImpl implements ProjectService {
Double num1 = Double.valueOf(df.format(airSourceHeatPump * synthesizeNo26ServiceById.getNo39() / 10000));
synthesize_no_3_6.setNo43(num1);
no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1)));
Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalHeatRequirement / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice) / 10000));
Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalColdRequirement / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice) / 10000));
synthesize_no_3_6.setNo31(num2);
no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100 / 10000)));
Double num3 = 0.0;
if (Arrays.asList(powerCold).contains("6")) {
num3 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100 - coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100) / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice + coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100 / 0.9 / synthesizeNo26ServiceById.getNo38() * end + airSourceHeatPump * synthesizeNo26ServiceById.getNo40() + coolStorageInstalledCapacity * synthesizeNo26ServiceById.getNo113()) / 10000));
num3 = Double.valueOf(df.format(((annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100 - coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100) / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice + coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100 / 0.9 / synthesizeNo26ServiceById.getNo38() * end + airSourceHeatPump * synthesizeNo26ServiceById.getNo40() + coolStorageInstalledCapacity * synthesizeNo26ServiceById.getNo113()) / 10000));
} else {
num3 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100) / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice + airSourceHeatPump * synthesizeNo26ServiceById.getNo40()) / 10000));
num3 = Double.valueOf(df.format(((annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100) / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice + airSourceHeatPump * synthesizeNo26ServiceById.getNo40()) / 10000));
}
no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3)));
synthesize_no_3_6.setNo73(num3);
... ... @@ -1322,14 +1324,14 @@ public class ProjectServiceImpl implements ProjectService {
no_3_1_1_1Dto.setName(array2[9]);
no_3_1_1_1Dto.setInstallCapacity("0.00");
no_3_1_1_1Dto.setInvestmentEstimation("0.00");
Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalHeatRequirement / synthesizeNo26ServiceById.getNo31() * averageElectricityPrice) / 10000));
Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalColdRequirement / synthesizeNo26ServiceById.getNo31() * averageElectricityPrice) / 10000));
synthesize_no_3_6.setNo32(num2);
no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100 / 10000)));
Double num3 = 0.0;
if (Arrays.asList(powerCold).contains("6")) {
num3 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100 - coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100) / synthesizeNo26ServiceById.getNo31() * averageElectricityPrice + coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100 / 0.9 / synthesizeNo26ServiceById.getNo31() * end + synthesize_no_3_6.getNo16() * synthesizeNo26ServiceById.getNo33() + coolStorageInstalledCapacity * synthesizeNo26ServiceById.getNo113()) / 10000));
num3 = Double.valueOf(df.format(((annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100 - coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100) / synthesizeNo26ServiceById.getNo31() * averageElectricityPrice + coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100 / 0.9 / synthesizeNo26ServiceById.getNo31() * end + synthesize_no_3_6.getNo16() * synthesizeNo26ServiceById.getNo33() + coolStorageInstalledCapacity * synthesizeNo26ServiceById.getNo113()) / 10000));
} else {
num3 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100) / synthesizeNo26ServiceById.getNo31() * averageElectricityPrice + synthesize_no_3_6.getNo16() * synthesizeNo26ServiceById.getNo33()) / 10000));
num3 = Double.valueOf(df.format(((annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100) / synthesizeNo26ServiceById.getNo31() * averageElectricityPrice + synthesize_no_3_6.getNo16() * synthesizeNo26ServiceById.getNo33()) / 10000));
}
no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3)));
synthesize_no_3_6.setNo74(num3);
... ... @@ -1338,7 +1340,7 @@ public class ProjectServiceImpl implements ProjectService {
/**
* 冷水机组
*/
synthesize_no_3_6.setNo59(Double.valueOf(df.format(annualTotalHeatRequirement / 0.85 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100)));
synthesize_no_3_6.setNo59(Double.valueOf(df.format(annualTotalColdRequirement / 0.85 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100)));
synthesize_no_3_6.setNo19(Double.valueOf(df.format(assemblyCapacityOfChiller)));
No_3_1_1_1Dto no_3_1_1_1Dto = new No_3_1_1_1Dto();
no_3_1_1_1Dto.setName(array2[10]);
... ... @@ -1346,14 +1348,14 @@ public class ProjectServiceImpl implements ProjectService {
Double num1 = Double.valueOf(df.format(assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo49() / 10000));
no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1)));
synthesize_no_3_6.setNo45(num1);
Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalHeatRequirement / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice) / 10000));
Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalColdRequirement / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice) / 10000));
synthesize_no_3_6.setNo33(num2);
no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100 / 10000)));
Double num3 = 0.0;
if (Arrays.asList(powerCold).contains("6")) {
num3 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.85 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100 - coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100) / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice + coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100 / 0.9 / synthesizeNo26ServiceById.getNo47() * end + assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo48() + coolStorageInstalledCapacity * synthesizeNo26ServiceById.getNo113()) / 10000));
num3 = Double.valueOf(df.format(((annualTotalColdRequirement * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100 - coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100) / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice + coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100 / 0.9 / synthesizeNo26ServiceById.getNo47() * end + assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo48() + coolStorageInstalledCapacity * synthesizeNo26ServiceById.getNo113()) / 10000));
} else {
num3 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.85 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100) / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice + assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo48()) / 10000));
num3 = Double.valueOf(df.format(((annualTotalColdRequirement * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100) / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice + assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo48()) / 10000));
}
no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3)));
synthesize_no_3_6.setNo75(num3);
... ... @@ -1372,12 +1374,12 @@ public class ProjectServiceImpl implements ProjectService {
/**
* 多联机中央空调成本=（多联机中央空调年供冷量/多联机中央空调制冷能效比*平均电价+年蓄冷量/0.9*低谷电价+单位运维*容量+蓄热单位运维*容量）/10000
*/
synthesize_no_3_6.setNo226(Double.valueOf(df.format(annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100)));
synthesize_no_3_6.setNo226(Double.valueOf(df.format(annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100)));
Double num2 = 0.0;
if (Arrays.asList(powerCold).contains("6")) {
num2 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100 - coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100) / synthesizeNo26ServiceById.getNo101() * averageElectricityPrice + coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100 / 0.9 * end + synthesizeNo26ServiceById.getNo103() * synthesize_no_3_6.getNo201() + coolStorageInstalledCapacity * synthesizeNo26ServiceById.getNo113()) / 10000));
num2 = Double.valueOf(df.format(((annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100 - coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100) / synthesizeNo26ServiceById.getNo101() * averageElectricityPrice + coldStorageCapacity * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100 / 0.9 * end + synthesizeNo26ServiceById.getNo103() * synthesize_no_3_6.getNo201() + coolStorageInstalledCapacity * synthesizeNo26ServiceById.getNo113()) / 10000));
} else {
num2 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100) / synthesizeNo26ServiceById.getNo101() * averageElectricityPrice + synthesizeNo26ServiceById.getNo103() * synthesize_no_3_6.getNo201()) / 10000));
num2 = Double.valueOf(df.format(((annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100) / synthesizeNo26ServiceById.getNo101() * averageElectricityPrice + synthesizeNo26ServiceById.getNo103() * synthesize_no_3_6.getNo201()) / 10000));
}
no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num2)));
list2.add(no_3_1_1_1Dto);
... ...