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Home Energy Magazine Online September/October 1997
Differences between HERS and HERS
Directly comparing the accuracy of rating systems
based on case studies is almost like comparing apples and attics; each
sample of homes and each HERS is unique. Sample differences include average
age of the homes, what variables a system considers, what software a HERS
uses, and local climate.
The average age of the rated homes is significant.
The Kansas homes were almost all new, while the CHEERS houses were significantly
older than the other groups. Energy usage in old houses tends to be hard
to predict in comparison to newer ones.
Unlike the other HERS, Home Energy Ratings of
Ohio allows the rater to input occupant-specific characteristics, such
as the number of actual occupants. According to Canadian research, collecting
a lot of occupant data, such as thermostat settings, improves the accuracy
of the rating for particular occupants. However, it makes the rating less
applicable to other potential occupants. Indeed, this is contrary to what
many HERS agencies see as the goal of the ratings. In the words of Mark
Janssen of Indiana's HERS, "We rate buildings, not life-styles."
The CHEERS ratings were the only ones that did
not include blower door testing. This may have contributed to their relative
imprecision, but it also helped make them less expensive to conduct (see
Table 1).
The CHEERS ratings were all performed in 1994,
while most others were performed in 1996. Significant progress in ratings
systems was made in the interim. The CHEERS ratings were conducted using
a rather user-unfriendly DOS-based program that has since been replaced
with a more user-friendly Windows version. The simulation engine in the
new software is also entirely new.
One of the most significant differences among
the different ratings systems is the severity of the local weather, which
affects the ease of prediction. Prior research has found that it is harder
to predict energy use in mild climates than in severe climates. For example,
some homeowners in mild climates will use almost no heat or air conditioning,
while some will use a lot. In severe climates, almost everyone uses some
heating or cooling energy.
The data seem to show that the take-back effect
is more pronounced in mild climates. The California locations have much
milder winters than the other locations, and Colorado has the most heating
degree-days. California's Home Energy Efficiency Rating System appears
to be well calibrated for high-efficiency houses, but it overpredicts considerably
for lower scoring houses. Energy Rated Homes of Colorado is well calibrated
for medium efficiency houses. Very high-efficiency houses are slightly
underpredicted, and very low-efficiency houses are slightly overpredicted.
The error changes a lot in California's mild climate, while it remains
relatively constant in Colorado.
Different software packages are gradually being
made more uniform by a national testing process called the BESTEST. BESTEST
rates how well the results of a software package match the results of current
industry standards. Other differences among the systems may also fade with
time, as national accreditation takes hold. But at this point, HERS bodies
cannot even agree on who will do the accreditation--so the differences
remain.
| Table 1. Comparison of HERS Costs to Rating Volume |
| State |
Years of Program Operation |
Total Number of Ratings |
Ratings Per Year |
Costs Per Year 1993-1995 |
Cost Per Rating |
| Alaska |
5 |
11498 |
2300 |
$1,875,333 |
$815 |
| Arkansas |
7 |
940 |
134 |
126,267 |
942 |
| California |
4 |
16745 |
4186 |
1,001,500 |
239 |
| Vermont |
8 |
2492 |
312 |
390,757 |
1,252 |
| Virginia |
5 |
7635 |
1527 |
246,667 |
162 |
| Colorado |
1.5 |
488 |
325 |
789,000 |
2,428 |
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