A while ago, energy-models.com published a blog, "Is insulation the best energy saver?" and illustrated the number of hours where high R-values may increase energy. People may argue, "that's what an economizer is for!" In my opinion, that of course is a good argument, but I have talked to too many people who have asked, "Why does my energy go up with increased wall insulation?"
To test this scenario, we looked to our good friend eQUEST. We built a simple building and tested it over a range of climate zones, and a range of R-values. In order to "normalize" the data, we compared everything to R-9 insulation (which is a pretty low R-value). We also made a number of assumptions:
L shaped Office building (100,000 sq ft)
Only Wall insulation was evaluated
DB economizer set to 65 degrees F
43 percent glass (glass stayed constant at triple low-E to minimize effect of glass)
Medium high internal loads (1.5 w/sq ft lights, 2 w/sq ft plug loads)
12 hour occupancy per day, 7 days a week
76/70 F cooling/heating setpoints (82/64 unnoccupied)
No change in infiltration was considered
Different building orientations were evaluated without change to normalized results
10 cents/kw-hr and 1.00/therm were used with no demand charges
Only climate zones A were evaluated, though results should be similar for B
The results were very surprising given that insulation only showed an increase in savings for the extreme climates: climate zones 1, 6, 7 and 8.
For climate zones 3A and 4A, more insulation actually yielded AN INCREASE in cost (even with the economizer). Most interestingly, for climate zone 4, an obvious "sweet spot" was displayed.
Check out the results for yourself:
Google Visualization API Sample
Miami, FL
1A
Orlando, FL
2A
Dallas, TX
3A
Lexington, KY
4A
Chicago, IL
5A
Fargo, ND
7A
It should be noted that a number of other locations were tested at each climate zone and the results were surprisingly consistent. The final data comes from the listed cities.
Bob Fassbender is the founder of Energy-Models.com and Fassbender Energy Advisory. A former Trane software engineer and instructor, Bob has more than 20 years of experience in energy modeling, building performance, utility incentives, and energy strategy.
His work spans whole-building energy modeling, calibration, independent technical review, decarbonization planning, utility incentive strategy, renewable energy analysis, and owner advisory services. Bob has supported projects ranging from commercial buildings and utility programs to large-scale data center developments involving power infrastructure, geothermal systems, heat recovery, and long-term energy planning.
Through Energy-Models.com, Bob has trained thousands of energy professionals in eQUEST, OpenStudio, EnergyPlus, LEED modeling, and building performance analysis. He continues to advise owners, engineers, architects, and developers on energy-related decisions while exploring emerging technologies such as artificial intelligence, machine learning, and advanced building analytics.