API MPMS Chapter 19.1 (R2022)

API MPMS Chapter 19.1 (R2022) – Evaporative Loss from Fixed-Roof Tanks, Fifth Edition

API MPMS Chapter 19.1 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 liquids or petrochemicals for which the vapor pressure is not known or cannot readily be predicted (to calculate emissions from tanks that contain material at or above their boiling point or the point at which material starts to flash, the API model E&P Tank (API Publication 4697) can be used).
• b. To estimate losses from fixed-roof tanks that have an internal floating roof. API MPMS Ch. 19.2 and API TR 2569 address these.
• c. To estimate losses from fixed-roof tanks that have either roof or shell insulation.
• d. To estimate losses from cleaning fixed-roof tanks. API TR 2568 addresses this.

Product Details

Edition:

5th

Published:

06/01/2017

Number of Pages:

38

File Size:

1 file , 910 KB

Redline File Size:

2 files , 5.6 MB

Product Code(s):

H190105, H190105, H190105, H190105, H190105, H190105

Note:

This product is unavailable in Russia, Cuba, Syria, North Korea, Ukraine, Belarus, Iran