How do I calculate the heat transfer coefficient for pipe heat loss in Excel?

Click For Summary
SUMMARY

This discussion focuses on calculating the heat transfer coefficient for pipe heat loss using Excel. The user has successfully implemented a spreadsheet utilizing the resistive analogy but seeks guidance on determining the heat transfer coefficient. Key parameters include pipe diameter, thickness, thermal conductivity (K value), internal and ambient temperatures, insulation thickness, and insulation K value. The user aims to create a general-use tool for estimating heat loss efficiently.

PREREQUISITES
  • Understanding of heat transfer principles, specifically the resistive analogy.
  • Familiarity with thermal conductivity (K value) and its application in heat transfer calculations.
  • Basic proficiency in Excel for creating and manipulating spreadsheets.
  • Knowledge of insulation properties and their impact on heat loss.
NEXT STEPS
  • Research the formula for calculating the heat transfer coefficient for cylindrical pipes.
  • Explore Excel functions for implementing thermal conductivity calculations.
  • Learn about the impact of insulation thickness on heat loss in pipes.
  • Investigate additional resources on heat transfer coefficients, such as the Wikipedia page referenced.
USEFUL FOR

Engineers, HVAC professionals, and anyone involved in thermal management or insulation design who needs to estimate heat loss in piping systems.

evol1
Messages
4
Reaction score
0
Hi there,
I am trying to make a spreadsheet which calculates the heat loss through a pipe and also heat loss when insulated, I am using the resistive analogy to calculate this and I have it working, the only problem I am having is the heat transfer coefficient, how do I calculate this?

I know the pipe diameter, thickness, K value, temperatures inside and ambient and the insulation thickness, k value and diameters.

it is just for general use, to get an estimate and save time.
 
Engineering news on Phys.org
Brilliant, thanks Travis_king
 

Similar threads

  • · Replies 16 ·
Replies
16
Views
4K
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
3
Views
3K
Replies
15
Views
3K
  • · Replies 6 ·
Replies
6
Views
12K
Replies
13
Views
5K
Replies
24
Views
3K
  • · Replies 47 ·
2
Replies
47
Views
11K