Process Management Principles for Increasing the Energy Efficiency

# 1 using the data a linear model was estimated using

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Unformatted text preview: sing the data, a linear model was estimated using linear regression of the form Energy = /0 + V #1 olume + e. This equation is derived from the linear relationship between energy and volume from the heat equation, assuming a constant density. The results of the linear regression provided estimates of #0 = 8.83 and #1 = 0.0945, and indicated an R 2 fit of 98.8%. The predicted energy required to heat each oven achieved from the model is shown in Table E.1. Based on these results, we are confident that there is a linear relationship between volume and energy required in process heating and cooling. Oven Model Model 1 2 3 4 5 6 7 8 9 10 11 12 13 Maximum Power (kW) 30 40 45 45 60 80 80 80 80 80 100 120 140 Rise Time (min) 40 40 40 40 40 35 40 30 35 40 40 35 35 Actual Energy (kWh) 20 26.7 30 30 40 46.7 53.3 40 46.7 53.3 66.7 70 81.7 Volume (fts) 96 180 240 234 312 390 468 384 392 490 588 640 768 Predicted Energy (kWh) 17.9 25.9 31.5 30.7 38.3 45.7 53.1 45.2 45.9 55.2 64.5 69.4 81.4 Table E.1:...
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## This document was uploaded on 03/03/2014 for the course ADMIN 1 at Universidad Nacional de Colombia.

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