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PENNSYLVANIA STATEWIDE ACT 129

2014 COMMERCIAL & RESIDENTIAL

LIGHT METERING STUDY
Prepared for:

PENNSYLVANIA PUBLIC UTILITIES COMMISSION

January 13, 2014

Prepared by:

Statewide Evaluation Team

Page 2

ACT 129 COMMERCIAL & RESIDENTIAL LIGHT METERING STUDY December 22, 2014

STATEWIDE EVALUATION TEAM

ACKNOWLEDGEMENTS

We would like to extend a special thanks to the staff of the seven electric distribution companies
highlighted in this report. Their cooperation and assistance in providing the necessary information to
compile this report was vital to this study’s success and is greatly appreciated. Specifically, we would
like to thank Dave Defide of Duquesne Light, Chris Siebens and Lisa Wolfe of First Energy, Pete Cleff and
Mike Stanz of PPL, and Nick DeDominicis of PECO. Finally, we thank the Bureau of Technical Utility
Services (TUS) staff of the Pennsylvania Public Utility Commission for their guidance and assistance in
writing this report.

Page 45

ACT 129 COMMERCIAL & RESIDENTIAL LIGHT METERING STUDY December 22, 2014

STATEWIDE EVALUATION TEAM Page | 37

Figure 4-2: Distribution of Participating Sites by Zip Code

A total of 2,347 loggers were installed across the state for an average of 4.75 loggers installed per site.
Table 4-3 details the distribution of participants and installed loggers by building type.

Table 4-3: Distribution of Participants and Retrieved Loggers by Building Type

Building Type Participants Loggers

Retail 69 312

Office 65 302

Education 61 309

Institutional/Public Service 61 306

Health 53 257

Grocery 47 229

Miscellaneous 37 159

Restaurant 35 155

Lodging 35 166

Warehouse 32 152

Total 495 2,347

Install visits were initiated in August, 2013 and were completed in July, 2014. Retrieval visits were
initiated in October, 2013 and were completed in September, 2014. Details on site activity as well as
total loggers in place by month are shown in Figure 4-3 and Figure 4-4, respectively.

Page 46

ACT 129 COMMERCIAL & RESIDENTIAL LIGHT METERING STUDY December 22, 2014

STATEWIDE EVALUATION TEAM Page | 38

Figure 4-3: Site Activity by Month

Figure 4-4: Quantity of Loggers in Place by Month

Loggers remained onsite for a period of time anywhere between 45 and 300 days, depending on
seasonality and location of the facility in question. An overview of logging durations is presented in
Figure 4-5.

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Page 90

ACT 129 COMMERCIAL & RESIDENTIAL LIGHT METERING STUDY December 22, 2014

STATEWIDE EVALUATION TEAM Page | 82

Table C-2: Baseline Study Results, Heating and Cooling Setpoints

Building Type

Unoccupied
Cooling

Setpoint (°F)

Occupied
Cooling

Setpoint (°F)

Unoccupied
Heating

Setpoint (°F)

Occupied
Heating

Setpoint (°F)

Education 79.5 73.0 61.1 70.3

Grocery 76.0 70.0 61.7 66.0

Health 75.8 71.3 63.8 69.8

Institutional/Public Service 78.6 71.9 60.1 68.9

Lodging 79.0 71.0 64.0 70.0

Miscellaneous 76.5 70.7 60.4 68.8

Office 78.3 71.8 64.3 70.6

Restaurant 78.9 72.0 61.4 70.8

Retail 78.0 73.2 60.6 68.7

Warehouse 81.5 72.3 60.0 71.7

 Heating Fuel Type
The heating fuel type by building type was analyzed in the Phase I and II Baseline Studies
and is presented in Table C-3.

Table C-3: Baseline Study Results, Percent Saturation of Electric Heating

Building Type
Electric
Heating

Non-Electric
Heating

Education 0.1% 99.9%

Grocery 24.6% 75.4%

Health 30.4% 69.6%

Institutional/Public Service 2.9% 97.1%

Lodging 53.7% 46.3%

Miscellaneous 21.6% 78.4%

Office 6.7% 93.3%

Restaurant 61.1% 38.9%

Retail 36.9% 63.1%

Warehouse 0.1% 99.9%

 Dry Bulb Temperature
The historical dry bulb temperature was recorded by weather station and presented by
NOAA. Although seven weather stations were analyzed, the variance in dry bulb
temperature appeared to produce little to no change in IF values. Because of this,
statewide average historical weather data was used for the IF calculations presented in
this report.

Page 91

ACT 129 COMMERCIAL & RESIDENTIAL LIGHT METERING STUDY December 22, 2014

STATEWIDE EVALUATION TEAM Page | 83

C.2 TRM APPLICATION OF INTERACTIVE EFFECTS

After many trial runs of individually adjusting variables, it was determined that the heating fuel type
contributed most substantially to the IF results. Table C-4 presents the variation in IF values as the
saturation of electric heating changes.

Table C-4: IF Results Tabulated by Electric Heat Saturations

Section 4.2.3 of this report presents the Building-Type Specific IF values as presented in the first two
columns of the table above. These numbers were calculated using an electric heat saturation value
equivalent to that of the corresponding building type as dictated by the Phase I and II Baseline Studies
and previously presented in Table C-3. This saturation value attempts to predict the probability that the
site will be using electric heat based on historical data linked to the building type. However, as
applications are filled out on a per-site basis, and the heating fuel source will be known, there is no need
to predict the probability of the presence of electric heat. Because of this, the 2016 TRM and Appendix C
calculator will use different IF values than presented above and in Section 4.2.3 of this report.

The IFdemand remains constant regardless of the heating fuel type. This is because the IFdemand is only a
factor during the peak period, when heating is not in use. The IFenergy however varies drastically as the
electric heat saturation is changed. Because of this, the SWE proposes that the IF values be calculated
for each lighting application as a function of both building type and primary heating fuel in the 2016
TRM Appendix C calculator. In the event that electricity is the primary fuel source, the 100% electric
heat values will apply to the entirety of the application; similarly, if any other fuel source is the
predominant fuel source, the 0% electric heat values will be applied. In the event that fuel source is
unknown, or otherwise left blank, a default value of 0% will be used for the IFenergy value with the
building type specific IFdemand value. The SWE believes this assumption is fair as the state average for
electric heating saturation was found to only be 12%, so it is likely that electricity is not the predominant
heating fuel; however, the onus will be on the customer to do the additional legwork to achieve the
additional savings that result in selecting a non-electric heating source.

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