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1 个修改的文件
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21 行增加
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19 行删除
@@ -628,7 +628,8 @@ public class ProjectServiceImpl implements ProjectService { | @@ -628,7 +628,8 @@ public class ProjectServiceImpl implements ProjectService { | ||
628 | Double num1 = Double.valueOf(df.format(photovoltaicInstall * synthesizeNo26ServiceById.getNo18() / 10)); | 628 | Double num1 = Double.valueOf(df.format(photovoltaicInstall * synthesizeNo26ServiceById.getNo18() / 10)); |
629 | no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1))); | 629 | no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1))); |
630 | synthesize_no_3_6.setNo36(num1); | 630 | synthesize_no_3_6.setNo36(num1); |
631 | - Double num2 = Double.valueOf(df.format(electricityAll * synthesize_no_2_5.getElectricitySellingPrice() / 10000)); | 631 | +// Double num2 = Double.valueOf(df.format(electricityAll * synthesize_no_2_5.getElectricitySellingPrice() / 10000)); |
632 | + Double num2 = Double.valueOf(df.format(synthesize_no_3_6.getNo51() * synthesize_no_2_5.getElectricitySellingPrice() / 10000)); | ||
632 | no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(num2))); | 633 | no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(num2))); |
633 | synthesize_no_3_6.setNo24(num2); | 634 | synthesize_no_3_6.setNo24(num2); |
634 | Double num3 = Double.valueOf(df.format(photovoltaicInstall * synthesizeNo26ServiceById.getNo17() * 1000 / 10000)); | 635 | Double num3 = Double.valueOf(df.format(photovoltaicInstall * synthesizeNo26ServiceById.getNo17() * 1000 / 10000)); |
@@ -848,7 +849,7 @@ public class ProjectServiceImpl implements ProjectService { | @@ -848,7 +849,7 @@ public class ProjectServiceImpl implements ProjectService { | ||
848 | } | 849 | } |
849 | if (calculateLoad.getNo3().equals(calculateLoad.getNo33())) { | 850 | if (calculateLoad.getNo3().equals(calculateLoad.getNo33())) { |
850 | for (Synthesize_no_2_1 synthesizeNo21 : synthesize_no_2_1s) { | 851 | for (Synthesize_no_2_1 synthesizeNo21 : synthesize_no_2_1s) { |
851 | - hotLoadAll += synthesizeNo21.getDesignCoolingLoadIndex(); | 852 | + coldLoadAll += synthesizeNo21.getDesignCoolingLoadIndex(); |
852 | } | 853 | } |
853 | //coldLoadAll += coldLoadDataMapper.queryName(zd_name, dict.getId()); | 854 | //coldLoadAll += coldLoadDataMapper.queryName(zd_name, dict.getId()); |
854 | } else { | 855 | } else { |
@@ -1241,12 +1242,13 @@ public class ProjectServiceImpl implements ProjectService { | @@ -1241,12 +1242,13 @@ public class ProjectServiceImpl implements ProjectService { | ||
1241 | * =10*150*供冷面积*设计冷负荷*0.75/1000 | 1242 | * =10*150*供冷面积*设计冷负荷*0.75/1000 |
1242 | * 8 * 150 * coldArea * coldLoadAll * 0.75 / 1000 | 1243 | * 8 * 150 * coldArea * coldLoadAll * 0.75 / 1000 |
1243 | */ | 1244 | */ |
1244 | - double annualTotalHeatRequirement = 0.0; | 1245 | + double annualTotalColdRequirement = 0.0; |
1245 | for (CalculateLoad calculateLoad : list1) { | 1246 | for (CalculateLoad calculateLoad : list1) { |
1246 | - annualTotalHeatRequirement += calculateLoad.getNo33(); | 1247 | + annualTotalColdRequirement += calculateLoad.getNo33(); |
1247 | } | 1248 | } |
1248 | java.text.NumberFormat nf = java.text.NumberFormat.getInstance(); | 1249 | java.text.NumberFormat nf = java.text.NumberFormat.getInstance(); |
1249 | nf.setGroupingUsed(false); | 1250 | nf.setGroupingUsed(false); |
1251 | + /**年总需热量*/ | ||
1250 | double AnnualTotalHeatRequirement = 0.0; | 1252 | double AnnualTotalHeatRequirement = 0.0; |
1251 | for (CalculateLoad calculateLoad : list1) { | 1253 | for (CalculateLoad calculateLoad : list1) { |
1252 | AnnualTotalHeatRequirement += calculateLoad.getNo22(); | 1254 | AnnualTotalHeatRequirement += calculateLoad.getNo22(); |
@@ -1269,7 +1271,7 @@ public class ProjectServiceImpl implements ProjectService { | @@ -1269,7 +1271,7 @@ public class ProjectServiceImpl implements ProjectService { | ||
1269 | * 选择单位 元/GJ | 1271 | * 选择单位 元/GJ |
1270 | * 供冷收入=供总需冷量*售冷价格 | 1272 | * 供冷收入=供总需冷量*售冷价格 |
1271 | */ | 1273 | */ |
1272 | - coolingIncome = annualTotalHeatRequirement * synthesize_no_2_5.getColdSellingPrice(); | 1274 | + coolingIncome = annualTotalColdRequirement * synthesize_no_2_5.getColdSellingPrice(); |
1273 | } | 1275 | } |
1274 | synthesize_no_3_6.setNo3(Double.valueOf(df.format(coolingIncome))); | 1276 | synthesize_no_3_6.setNo3(Double.valueOf(df.format(coolingIncome))); |
1275 | 1277 | ||
@@ -1294,7 +1296,7 @@ public class ProjectServiceImpl implements ProjectService { | @@ -1294,7 +1296,7 @@ public class ProjectServiceImpl implements ProjectService { | ||
1294 | /** | 1296 | /** |
1295 | * 空气源热泵(制冷)年供冷量=年总需热量/0.9 | 1297 | * 空气源热泵(制冷)年供冷量=年总需热量/0.9 |
1296 | */ | 1298 | */ |
1297 | - synthesize_no_3_6.setNo58(Double.valueOf(df.format(annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100))); | 1299 | + synthesize_no_3_6.setNo58(Double.valueOf(df.format(annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100))); |
1298 | synthesize_no_3_6.setNo18(Double.valueOf(df.format(airSourceHeatPump))); | 1300 | synthesize_no_3_6.setNo18(Double.valueOf(df.format(airSourceHeatPump))); |
1299 | No_3_1_1_1Dto no_3_1_1_1Dto = new No_3_1_1_1Dto(); | 1301 | No_3_1_1_1Dto no_3_1_1_1Dto = new No_3_1_1_1Dto(); |
1300 | no_3_1_1_1Dto.setName(array2[8]); | 1302 | no_3_1_1_1Dto.setName(array2[8]); |
@@ -1302,14 +1304,14 @@ public class ProjectServiceImpl implements ProjectService { | @@ -1302,14 +1304,14 @@ public class ProjectServiceImpl implements ProjectService { | ||
1302 | Double num1 = Double.valueOf(df.format(airSourceHeatPump * synthesizeNo26ServiceById.getNo39() / 10000)); | 1304 | Double num1 = Double.valueOf(df.format(airSourceHeatPump * synthesizeNo26ServiceById.getNo39() / 10000)); |
1303 | synthesize_no_3_6.setNo43(num1); | 1305 | synthesize_no_3_6.setNo43(num1); |
1304 | no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1))); | 1306 | no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1))); |
1305 | - Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalHeatRequirement / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice) / 10000)); | 1307 | + Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalColdRequirement / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice) / 10000)); |
1306 | synthesize_no_3_6.setNo31(num2); | 1308 | synthesize_no_3_6.setNo31(num2); |
1307 | no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100 / 10000))); | 1309 | no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100 / 10000))); |
1308 | Double num3 = 0.0; | 1310 | Double num3 = 0.0; |
1309 | if (Arrays.asList(powerCold).contains("6")) { | 1311 | if (Arrays.asList(powerCold).contains("6")) { |
1310 | - 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)); | 1312 | + 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)); |
1311 | } else { | 1313 | } else { |
1312 | - num3 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100) / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice + airSourceHeatPump * synthesizeNo26ServiceById.getNo40()) / 10000)); | 1314 | + num3 = Double.valueOf(df.format(((annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldA"))) / 100) / synthesizeNo26ServiceById.getNo38() * averageElectricityPrice + airSourceHeatPump * synthesizeNo26ServiceById.getNo40()) / 10000)); |
1313 | } | 1315 | } |
1314 | no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3))); | 1316 | no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3))); |
1315 | synthesize_no_3_6.setNo73(num3); | 1317 | synthesize_no_3_6.setNo73(num3); |
@@ -1322,14 +1324,14 @@ public class ProjectServiceImpl implements ProjectService { | @@ -1322,14 +1324,14 @@ public class ProjectServiceImpl implements ProjectService { | ||
1322 | no_3_1_1_1Dto.setName(array2[9]); | 1324 | no_3_1_1_1Dto.setName(array2[9]); |
1323 | no_3_1_1_1Dto.setInstallCapacity("0.00"); | 1325 | no_3_1_1_1Dto.setInstallCapacity("0.00"); |
1324 | no_3_1_1_1Dto.setInvestmentEstimation("0.00"); | 1326 | no_3_1_1_1Dto.setInvestmentEstimation("0.00"); |
1325 | - Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalHeatRequirement / synthesizeNo26ServiceById.getNo31() * averageElectricityPrice) / 10000)); | 1327 | + Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalColdRequirement / synthesizeNo26ServiceById.getNo31() * averageElectricityPrice) / 10000)); |
1326 | synthesize_no_3_6.setNo32(num2); | 1328 | synthesize_no_3_6.setNo32(num2); |
1327 | no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100 / 10000))); | 1329 | no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldB"))) / 100 / 10000))); |
1328 | Double num3 = 0.0; | 1330 | Double num3 = 0.0; |
1329 | if (Arrays.asList(powerCold).contains("6")) { | 1331 | if (Arrays.asList(powerCold).contains("6")) { |
1330 | - 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)); | 1332 | + 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)); |
1331 | } else { | 1333 | } else { |
1332 | - 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)); | 1334 | + 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)); |
1333 | } | 1335 | } |
1334 | no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3))); | 1336 | no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3))); |
1335 | synthesize_no_3_6.setNo74(num3); | 1337 | synthesize_no_3_6.setNo74(num3); |
@@ -1338,7 +1340,7 @@ public class ProjectServiceImpl implements ProjectService { | @@ -1338,7 +1340,7 @@ public class ProjectServiceImpl implements ProjectService { | ||
1338 | /** | 1340 | /** |
1339 | * 冷水机组 | 1341 | * 冷水机组 |
1340 | */ | 1342 | */ |
1341 | - synthesize_no_3_6.setNo59(Double.valueOf(df.format(annualTotalHeatRequirement / 0.85 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100))); | 1343 | + synthesize_no_3_6.setNo59(Double.valueOf(df.format(annualTotalColdRequirement / 0.85 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100))); |
1342 | synthesize_no_3_6.setNo19(Double.valueOf(df.format(assemblyCapacityOfChiller))); | 1344 | synthesize_no_3_6.setNo19(Double.valueOf(df.format(assemblyCapacityOfChiller))); |
1343 | No_3_1_1_1Dto no_3_1_1_1Dto = new No_3_1_1_1Dto(); | 1345 | No_3_1_1_1Dto no_3_1_1_1Dto = new No_3_1_1_1Dto(); |
1344 | no_3_1_1_1Dto.setName(array2[10]); | 1346 | no_3_1_1_1Dto.setName(array2[10]); |
@@ -1346,14 +1348,14 @@ public class ProjectServiceImpl implements ProjectService { | @@ -1346,14 +1348,14 @@ public class ProjectServiceImpl implements ProjectService { | ||
1346 | Double num1 = Double.valueOf(df.format(assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo49() / 10000)); | 1348 | Double num1 = Double.valueOf(df.format(assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo49() / 10000)); |
1347 | no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1))); | 1349 | no_3_1_1_1Dto.setInvestmentEstimation(format.apply(new BigDecimal(num1))); |
1348 | synthesize_no_3_6.setNo45(num1); | 1350 | synthesize_no_3_6.setNo45(num1); |
1349 | - Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalHeatRequirement / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice) / 10000)); | 1351 | + Double num2 = Double.valueOf(df.format((coolingIncome - annualTotalColdRequirement / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice) / 10000)); |
1350 | synthesize_no_3_6.setNo33(num2); | 1352 | synthesize_no_3_6.setNo33(num2); |
1351 | no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100 / 10000))); | 1353 | no_3_1_1_1Dto.setProjectEarnings(format.apply(new BigDecimal(coolingIncome * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100 / 10000))); |
1352 | Double num3 = 0.0; | 1354 | Double num3 = 0.0; |
1353 | if (Arrays.asList(powerCold).contains("6")) { | 1355 | if (Arrays.asList(powerCold).contains("6")) { |
1354 | - 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)); | 1356 | + 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)); |
1355 | } else { | 1357 | } else { |
1356 | - num3 = Double.valueOf(df.format(((annualTotalHeatRequirement / 0.85 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100) / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice + assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo48()) / 10000)); | 1358 | + num3 = Double.valueOf(df.format(((annualTotalColdRequirement * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldC"))) / 100) / synthesizeNo26ServiceById.getNo47() * averageElectricityPrice + assemblyCapacityOfChiller * synthesizeNo26ServiceById.getNo48()) / 10000)); |
1357 | } | 1359 | } |
1358 | no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3))); | 1360 | no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num3))); |
1359 | synthesize_no_3_6.setNo75(num3); | 1361 | synthesize_no_3_6.setNo75(num3); |
@@ -1372,12 +1374,12 @@ public class ProjectServiceImpl implements ProjectService { | @@ -1372,12 +1374,12 @@ public class ProjectServiceImpl implements ProjectService { | ||
1372 | /** | 1374 | /** |
1373 | * 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 | 1375 | * 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 |
1374 | */ | 1376 | */ |
1375 | - synthesize_no_3_6.setNo226(Double.valueOf(df.format(annualTotalHeatRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100))); | 1377 | + synthesize_no_3_6.setNo226(Double.valueOf(df.format(annualTotalColdRequirement / 0.9 * Double.parseDouble(String.valueOf(jsonObjectCold.get("coldD"))) / 100))); |
1376 | Double num2 = 0.0; | 1378 | Double num2 = 0.0; |
1377 | if (Arrays.asList(powerCold).contains("6")) { | 1379 | if (Arrays.asList(powerCold).contains("6")) { |
1378 | - 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)); | 1380 | + 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)); |
1379 | } else { | 1381 | } else { |
1380 | - 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)); | 1382 | + 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)); |
1381 | } | 1383 | } |
1382 | no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num2))); | 1384 | no_3_1_1_1Dto.setRemark(format.apply(new BigDecimal(num2))); |
1383 | list2.add(no_3_1_1_1Dto); | 1385 | list2.add(no_3_1_1_1Dto); |
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