焓值计算表教学内容

焓值计算表教学内容
焓值计算表教学内容

焓值计算表

供热蒸汽焓值计算方法: 表1.过热蒸汽特性参数

用温度和压力分别作为X和丫,焓值作为Z变量,可求出表的规定范围内温度与压力任意组合下的焓值。

所计算的焓值=(ZY1 ZY2)(Yact Ymin)

Z YI

Yspa n

式中

r (Xact X min) [Z(X max, Y min) Z(X min, 丫 min)]

Z YI = Z(X min, Y max)

Xspa n

(Xact X min) [Z(X min, Y max) Z(X max, Ymax)] Z Y2 =

Xspa n Z(X min, 丫

max)

Xact = X的实际值

Xmin =(紧靠X实际值)前的X值

Xmax =(紧靠X实际值)后的X值

XSpan = Xmax- Xmin,紧靠X实际值前后X值的范围

Yact = 丫的实际值。

Ymin =紧靠丫实际值之前的丫值。

Ymax =紧靠丫实际值之后的丫值。

YSpan = Ymax- Ymin,紧靠丫实际值前后丫值的范围

举个例子:

计算压力为1.3MPa,温度为295C的焓值。

计算如下:

(295 290) [Z(300,1.2) Z(290,1.2)]

300 290

Z(290,1.5)

z、2 = (295 290) [Z(290,1.5) Z(300,1.5)]

Y2 = 300 290

Z(290,1.5)

所计算的焓值H = (ZY1 ZY2) (1.3 1.2)

Z Y1

1.5 1.2

总热量计算公式为:

Q m=t

o3600*1000*H *q m*dt

其中,H为计算值(kJ/kg)q m为所测质量流量(t/h )

Qr为时间积分流量(时间为秒累计)

焓值计算表

供热蒸汽焓值计算方法:表1. 过热蒸汽特性参数

用温度和压力分别作为X 和Y ,焓值作为Z 变量,可求出表的规定范围内温度与压力任意组合下的焓值。 所计算的焓值 = 121min) ()(Y Y Y Z Yspan Y Yact Z Z +-?- 式中 1Y Z = m ax )m in,(m in)] m in,(m in)m ax ,([m in)(Y X Z Xspan Y X Z Y X Z X Xact +-?- 2Y Z = m ax )m in,(m ax )] m ax ,(m ax )m in,([m in)(Y X Z Xspan Y X Z Y X Z X Xact +-?- Xact = X 的实际值 Xmin = (紧靠X 实际值)前的X 值 Xmax = (紧靠X 实际值)后的X 值 XSpan = Xmax- Xmin ,紧靠X 实际值前后X 值的范围。 Yact = Y 的实际值。 Ymin = 紧靠Y 实际值之前的Y 值。 Ymax = 紧靠Y 实际值之后的Y 值。 YSpan = Ymax- Ymin ,紧靠Y 实际值前后Y 值的范围。 举个例子: 计算压力为,温度为295℃的焓值。 计算如下: 1Y Z = )5.1,290(290300)] 2.1,290()2.1,300([)290295(Z Z Z +--?- 2Y Z = )5.1,290(290 300)] 5.1,300()5.1,290([)290295(Z Z Z +--?-

所计算的焓值 H = 1212 .15.1) 2.1 3.1()(Y Y Y Z Z Z +--?- 总热量计算公式为: Q m =dt q H m t ***1000*36000 ? 其中,H 为计算值(kJ /kg ) q m 为所测质量流量(t/h ) Qm 为时间积分流量(时间为秒累计)

烟气焓值计算

烟气焓值计算 t C CO2t C N2t C H2O t C CO2t C N2t C H2O t C O2t t烟气焓值CO2N2H2O O2 o C KJ/m3KJ/m3KJ/m3KJ/m3KJ/m3KJ/m3KJ/m3o C Kcal/Nm30.08077140.733620.1210780.06453 100169.70129.60150.5040.6031.0036.0031.5610032.4230.2233 200357.00259.60303.9085.4162.1172.7064.0620065.4064.5533 300558.00391.30461.90133.4993.61110.5097.5030099.1399.4833 400770.80528.50625.30184.40126.44149.59131.74400134.26135.0133 500994.80663.00793.40237.99158.61189.81166.74500169.33171.1433 6001220.60802.60965.60292.01192.01231.00202.46600205.48207.8733 7001458.80944.701,145.30349.00226.00274.00238.79700242.57245.2033 8001701.301,091.001,333.40407.01261.00319.00275.67800280.77283.1333 9001947.901,241.501,521.50466.00297.01364.00313.04900319.80321.6633 10002198.701,391.901,722.20526.00332.99412.01350.851000359.30360.7933 11002453.701542.401922.80587.01369.00460.00388.971100398.91400.5233 12002712.801692.902127.60649.00405.00509.00427.411200438.75440.8533 13002972.001847.602340.80711.00442.01560.00466.031300479.57481.7833 14003235.302006.402554.00774.00480.00611.00511.041400521.61523.3133 15003498.702161.102775.50837.01517.01664.00552.181500562.92565.4433 16003762.002319.902997.10900.00555.00717.01593.921600604.99608.1733 17004029.502478.703222.80964.00592.99771.00636.261700647.30651.5033 18004297.002637.603452.701027.99631.00826.00679.201800689.79695.4333 19004564.602800.603682.601092.01670.00881.00722.741900733.04739.9633 20004836.302959.403920.801157.01707.99937.99766.882000775.90651785.0933

锅炉课程设计 焓值计算表格

烟气或空气温度RO2N2H2O hy0湿空气400771.88526.52626.163143.61028541.76 500994.35663.8794.853985.93835684.15 6001224.66804.12968.884850.57724829.74 7001461.88947.521148.845737.21036978.42 8001704.881093.61334.46643.047841129.12 9001952.281241.551526.047563.989431282.32 10002203.51391.71722.98500.24921437.3 11002458.391543.741925.119450.567391594.89 12002716.561697.162132.2810412.36041753.44 13002976.741852.762343.6411387.10041914.25 14003239.042008.722559.212367.81562076.2 15003503.121662779.0513357.96942238.9 16003768.82324.483001.7614356.08372402.88 17004036.312484.043229.3215363.1022567.34 18004304.72643.663458.3416372.07392731.86 19004574.062804.213690.3717387.44262898.83 20004844.229653925.618406.47223065.6 21005115.393127.534163.2519434.7493233.79 22005386.483289.224401.9820460.34983401.64

饱和蒸汽焓值计算公式

饱和蒸汽焓值计算公式-CAL-FENGHAI.-(YICAI)-Company One1

饱和蒸汽焓值计算公式(0-200度)一阶拟合: Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = , p2 = 2507 (2504, 2511) Goodness of fit: SSE: 3469 R-square: Adjusted R-square: RMSE: Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = , p2 = 2504 (2503, 2504) Goodness of fit: SSE: R-square: Adjusted R-square:

RMSE: Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = , p2 = 2502 (2501, 2503) Goodness of fit: SSE: R-square: Adjusted R-square: RMSE: 二阶拟合: Linear model Poly2: f(x) = p1*x^2 + p2*x + p3 Coefficients (with 95% confidence bounds): p1 = , p2 = , p3 = 2499 (2498, 2500) Goodness of fit: SSE: R-square:

焓值的定义与计算公式

焓值的定义与计算公式 The Standardization Office was revised on the afternoon of December 13, 2020

焓值的定义与计算公式 空气中的焓值是指空气中含有的总热量,通常以干空气的单位质量为基准,称作比焓。工程中简称为焓,是指一千克干空气的焓和与它相对应的水蒸气的焓的总和。 在工程上,我们可以根据一定质量的空气在处理过程中比焓的变化,来判定空气是得到热量还是失去了热量。 空气的比焓增加表示空气中得到热量;空气的比焓减小表示空气中失去了热量。 在计算气流经过换热器的换热量的时候,气流一侧的换热量计算通过焓差计算相当简便:Q= M*(H_out-H_in) Q是换热量 M是气流质量流量 H为气流比焓值。 其实这不只针对气流,对于气液两相的制冷剂流动,也是同样的计算方法。 空气焓值的定义及空气焓值的计算公式 空气的焓值是指空气所含有的总热量,通常以干空气的单位质量为基准。 焓用符号i表示,单位是kj/kg干空气。 湿空气焓值等于1kg干空气的焓值与d kg水蒸气焓值之和。 湿空气焓值计算公式化: i=+(2500+d = (+)t+2500 d (kj/kg干空气)

式中: t—空气温度℃ d —空气的含湿量 g/kg干空气 —干空气的平均定压比热 kj/ —水蒸气的平均定压比热kj/ 2500—0℃时水的汽化潜热 kj/kg 由上式可以看出: (+)t是随温度变化的热量,即“显热”; 而2500d 则是0℃时d kg水的汽化潜热,它仅随含湿量而变化,与温度无关,即是“潜热”。 上式经常用来计算冷干机的热负荷。

相对湿度计算含湿量焓值

根据相对湿度计算含湿量的公式 op d 622- =B ( op )) /( 其中:o为相对湿度,百分比 P为水蒸气饱和分压力,可查水蒸气表,和温度一一对应,pa B为大气压,不同的海拔和地区不一样。一般为101325pa 温度与湿空气的水蒸气饱和分压力的拟合公式(我们一般用到的范围为(0~50°),拟合范围越小,则精度越高。 饱和水蒸气表 Linear model Poly3: f(x) = p1*x^3 + p2*x^2 + p3*x + p4 Coefficients (with 95% confidence bounds): p1 = 0.07394 (0.06667, 0.08122) p2 = -0.2556 (-0.8097, 0.2985) p3 = 62.49 (50.92, 74.06) p4 = 581.9 (518.4, 645.4) Goodness of fit: SSE: 6391 R-square: 1 Adjusted R-square: 0.9999 RMSE: 30.21

空气焓值的定义及空气焓值的计算公式: 空气的焓值是指空气所含有的决热量,通常以干空气的单位质量为基准。焓用符号i表示,单位是kj/kg干空气。湿空气焓值等于1kg干空气的焓值与dkg水蒸气焓值之和。 湿空气焓值计算公式化: i=1.01t+(2500+1.84t)d 或i=(1.01+1.84d)t+2500d (kj/kg干空气) 式中:t—空气温度℃ d —空气的含湿量g/kg干空气 1.01 —干空气的平均定压比热kj/(kg.K) 1.84 —水蒸气的平均定压比热kj/(kg.K) 2500 —0℃时水的汽化潜热kj/kg 由上式可以看出:(1.01+1.84d)t是随温度变化的热量,即“显热”;而2500d 则是0℃时dkg水的汽化潜热,它仅随含湿量而变化,与温度无关,即是“潜热”。

饱和蒸汽焓值计算公式

饱和蒸汽焓值计算公式(0-200度) 一阶拟合: Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = , p2 = 2507 (2504, 2511) Goodness of fit: SSE: 3469 R-square: Adjusted R-square: RMSE: Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = , p2 = 2504 (2503, 2504) Goodness of fit: SSE: R-square: Adjusted R-square: RMSE: Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = , p2 = 2502 (2501, 2503) Goodness of fit: SSE: R-square: Adjusted R-square: RMSE: 二阶拟合: Linear model Poly2: f(x) = p1*x^2 + p2*x + p3 Coefficients (with 95% confidence bounds): p1 = , p2 = , p3 = 2499 (2498, 2500) Goodness of fit: SSE: R-square: Adjusted R-square: RMSE: 过热蒸汽焓值计算: 压力:温度:500-580

饱和蒸汽焓值计算公式

饱和蒸汽焓值计算公式(0-200度)一阶拟合: Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = 1.569 (1.528, 1.61) p2 = 2507 (2504, 2511) Goodness of fit: SSE: 3469 R-square: 0.9916 Adjusted R-square: 0.9914 RMSE: 8.414 Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = 1.67 (1.659, 1.682) p2 = 2504 (2503, 2504) Goodness of fit: SSE: 252.6 R-square: 0.9994 Adjusted R-square: 0.9994

RMSE: 2.271 Linear model Poly1: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = 1.777 (1.765, 1.789) p2 = 2502 (2501, 2503) Goodness of fit: SSE: 295.6 R-square: 0.9993 Adjusted R-square: 0.9993 RMSE: 2.456 二阶拟合: Linear model Poly2: f(x) = p1*x^2 + p2*x + p3 Coefficients (with 95% confidence bounds): p1 = -0.002719 (-0.002911, -0.002526) p2 = 2.036 (2.002, 2.071) p3 = 2499 (2498, 2500) Goodness of fit: SSE: 195.7 R-square: 0.9995

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