
API MPMS CH 19.1
API MPMS CH 19.1, 5th Edition: Evaporative Loss from Fixed-Roof Tanks (previously Publ 2518)
CDN $334.00
This publication was last reviewed and confirmed in 2022.
Evaporative Loss from Fixed-Roof Tanks (previously Publ 2518)
Description
Contains methodologies for estimating the total evaporative losses of hydrocarbons from fixed-roof tanks. The methodologies provide loss estimates for general equipment types based on laboratory, test-tank and field-tank data. Types of fixed-roof tanks and roof fittings described are for information only. The equations estimate average annual losses from uninsulated fixed-roof tanks for various liquid stocks, stock vapor pressures, tank sizes, meteorological conditions, and operating conditions. The following special cases are addressed: a. Horizontal tanks. b. Higher volatility stocks (true vapor pressure greater than 0.1 psia). c. Vent settings higher than 0.03 pounds (0.5 oz) per square inch. The estimation may be improved by using detailed field information, including climatic data and operational data for the appropriate time period. The equations are not intended to be used in the following applications: a. To estimate losses from unstable or boiling stocks or from petroleum liq
Edition
5
Published Date
2017-06-21
Status
Current
Pages
38
Format 
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Abstract
Contains methodologies for estimating the total evaporative losses of hydrocarbons from fixed-roof tanks. The methodologies provide loss estimates for general equipment types based on laboratory, test-tank and field-tank data. Types of fixed-roof tanks and roof fittings described are for information only. The equations estimate average annual losses from uninsulated fixed-roof tanks for various liquid stocks, stock vapor pressures, tank sizes, meteorological conditions, and operating conditions. The following special cases are addressed: a. Horizontal tanks. b. Higher volatility stocks (true vapor pressure greater than 0.1 psia). c. Vent settings higher than 0.03 pounds (0.5 oz) per square inch. The estimation may be improved by using detailed field information, including climatic data and operational data for the appropriate time period. The equations are not intended to be used in the following applications: a. To estimate losses from unstable or boiling stocks or from petroleum liq
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