Table 211: Assumptions and Results of Deemed Savings Calculations (Harrisburg, PA) Blower Motor kW Harrisburg EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings (kWh) ISR Estimated Savings (kWh) Heating 0.5 1,103 552 634 83 0.474 39 Cooling 0.5 551 276 317 41 0.474 20 Total 1,654 827 951 124 59 kWpeak = 0.025 kW (Harrisburg) Table 212: Assumptions and Results of Deemed Savings Calculations (Erie, PA) Blower Motor kW Erie EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings (kWh) ISR Estimated Savings (kWh) Heating 0.5 1,349 675 776 101 0.474 48 Cooling 0.5 389 195 224 29 0.474 14 Total 1,739 869 1,000 130 62 kWpeak = 0.025 kW (Erie) Table 213: Assumptions and Results of Deemed Savings Calculations (Allentown, PA) Blower Motor kW Allentown EFLH Clean Annual kWh Dirty Annual kWh Furnace Whistle Savings (kWh) ISR Estimated Savings (kWh) Heating 0.5 1,193 597 686 89 0.474 42 Cooling 0.5 487 244 280 37 0.474 17 Total 1,681 840 966 126 60 kWpeak = 0.024 kW (Allentown)
Default Savings Housing Type Faucet Location Unit Energy Savings (kWh) Unit Demand Savings (kW) Single Family Kitchen 220.3 0.0284 Bathroom 25.6 0.0033 Unknown 68.3 0.0088 Multifamily Kitchen 146.9 0.0190 Bathroom 30.1 0.0039 Unknown 67.5 0.0087 Statewide (Unknown Housing Type) Kitchen 212.2 0.0274 Bathroom 26.4 0.0034 Unknown 65.8 0.0085 Measure Life The measure life is 12 years, according to California’s Database of Energy Efficiency Resources (DEER). Evaluation Protocols The most appropriate evaluation protocol for this measure is verification of installation coupled with EDC Data Gathering Low Flow Showerheads Measure Name Low Flow Showerheads Target Sector Residential Establishments Measure Unit Water Heater Unit Energy Savings Partially Deemed Unit Peak Demand Reduction Partially Deemed Measure Life 9 years This measure relates to the installation of a low flow (generally 1.5 GPM) showerhead in bathrooms in homes with electric water heater. The baseline is a standard showerhead using 2.5 GPM.
Table 238: Default values for algorithm terms, Fuel Switching, Electric Heat to Gas Heat Term Type Value Source CAPYelec heat Variable Nameplate EDC Data Gathering CAPYASHP heat Variable Nameplate EDC Data Gathering CAPYfuel heat Variable Nameplate EDC Data Gathering EFLHASHP Default Allentown = 1,193 Erie = 1,349 Harrisburg = 1,103 Philadelphia = 1,060 Pittsburgh = 1,209 Scranton = 1,296 Williamsport = 1,251 2014 PA TRM Table 21, in Electric HVAC section Optional An EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis. Alternate EFLH Table (See Section 2.19.3) or EDC Data Gathering EFLHelec furnace Default Allentown = 1,000 Erie = 1,075 Harrisburg = 947 Philadelphia = 934 Pittsburgh = 964 Scranton = 1,034 Williamsport = 1,011 1 Optional An EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis. Alternate EFLH Table (See Section 2.19.3) or EDC Data Gathering EFLHelec bb Default Allentown = 1,321 Erie = 1,396 Harrisburg = 1,265 Philadelphia = 1,236 Pittsburgh = 1,273 Scranton = 1,357 Williamsport = 1,354 1 Optional An EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis. Alternate EFLH Table (See Section 2.19.3) or EDC Data Gathering Default Allentown = 1,022 Erie = 1,098 Harrisburg = 969 Philadelphia = 955 1
EFLHfuel furnace Pittsburgh = 985 Scranton = 1,056 Williamsport = 1,033 Optional An EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis. Alternate EFLH Table (See Section 2.19.3) or EDC Data Gathering EFLHfuel boiler Default Allentown = 1,334 Erie = 1,411 Harrisburg = 1,279 Philadelphia = 1,249 Pittsburgh = 1,283 Scranton = 1,371 Williamsport = 1,354 1 Optional An EDC can either use the Alternate EFLH Table or estimate it’s own EFLH based on customer billing data analysis. Alternate EFLH Table (See Section 2.19.3) or EDC Data Gathering HSPFASHP Variable Default = 7.7 2010 PA TRM Table 21 Nameplate EDC Data Gathering AFUEfuel heat Variable Default = 95% (natural gas/propane furnace) 95% (natural gas/propane steam boiler) 95% (natural gas/propane hot water boiler) 85% (oil furnace) 85% (oil steam boiler) 85% (oil hot water boiler) ENERGY STAR requirement Nameplate EDC Data Gathering HPmotor Variable Default = ½ hp Average blower motor capacity for gas furnace (typical range = ¼ hp to ¾ hp) Nameplate EDC Data Gathering ηmotor Variable Default = 0.50 Typical efficiency of ½ hp blower motor Nameplate EDC Data Gathering Alternate Equivalent Full Load Hour (EFLH) Tables Table 239 through Table 243 below, show heating EFLH by city and for each EDC’s housing demographics. In order to determine the most appropriate EFLH value to use for a project, first select the type of electric heating equipment being replaced, then the appropriate EDC. Next,
SEERCAC Variable Default for equipment installed before 1/23/2006 = 10 Default for equipment installed after 1/23/2006 = 13 Minimum Federal Standard for new Central Air Conditioners/Heat Pumps between 1990 and 2006 ASHRAE 90.1-2007 Nameplate EDC Data Gathering Variable Default = 9.8 DOE Federal Test Procedure 10 CFR 430, Appendix F (Used in ES Calculator for baseline) Nameplate EDC Data Gathering SEERASHP Variable Default for equipment installed before 1/23/2006 = 10 Default for equipment installed after 1/23/2006 = 13 Minimum Federal Standard for new Central Air Conditioners/Heat Pumps between 1990 and 2006 ASHRAE 90.1-2007 Nameplate EDC Data Gathering HSPFASHP Variable Default for equipment installed before 1/23/2006 = 6.8 Default for equipment installed after 1/23/2006 = 7.7 Minimum Federal Standard for new Central Air Conditioners/Heat Pumps between 1990 and 2006 ASHRAE 90.1-2007 Nameplate EDC Data Gathering CFCAC Fixed 0.70 Table 21 CFRAC Fixed 0.58 See Section 2.29 CFASHP Fixed 0.70 Table 21 FRoom,AC Fixed 0.38 Calculated
=1632 L/kWhbase =Baseline unit liters of water per kWh consumed L/kWhEE =ENERGY STAR qualified unit liters of water per kWh consumed DSavDH = Summer demand savings per purchased ENERGY STAR dehumidifier =0.0098 kW CF = Demand Coincidence Factor. The coincidence of average dehumidifier demand to summer system peak =1 Table 267 shows the federal standard minimum efficiency and ENERGY STAR standards, effective October 1, 2012. Federal standards do not limit residential dehumidifier capacity, but since ENERGY STAR standards do limit the capacity to 185 pints per day, Table 259 only presents standards for the range of dehumidifier capacities that savings can be claimed. Table 267: Dehumidifier Minimum Federal Efficiency and ENERGY STAR Standards Capacity (pints/day) Federal Standard (L/kWh) ENERGY STAR (L/kWh) ≤ 35 1.35 ≥ 1.85 > 35 ≤ 45 1.50 >45 ≤ 54 1.60 >54 < 75 1.70 75 ≤ 185 2.5 ≥ 2.80 The annual energy usage and savings of an ENERGY STAR unit over the federal minimum standard are presented in Table 268 for each capacity range. Table 268: Dehumidifier Default Energy Savings Capacity Range (pints/day) Default Capacity (pints/day) Federal Standard (kWh/yr) ENERGY STAR (kWh/yr) ΔkWh ≤ 35 35 834 609 225 > 35 ≤ 45 45 965 782 183 >45 ≤ 54 54 1086 939 147 >54 < 75 74 1,400 1,287 113 75 ≤ 185 130 1,673 1,493 180 Measure Life ENERGY STAR Dehumidifiers: Measure Life = 12 years.
Electric Heat/Central Air Conditioning: kWh = ESavRES/CAC kWpeak = DSavCAC X CF Electric Heat/No Central Air Conditioning: kWh = ESavRES/NOCAC kWpeak = DSavNOCAC X CF Definition of Terms ESavHP = Electricity savings (heating and cooling) with heat pump installed. ESavRES/CAC = Electricity savings with electric resistance heating and central AC installed. ESavRES/NOCAC = Electricity savings with electric resistance heating and no central AC installed. DSavHP = Summer demand savings with heat pump installed. DSavCAC = Summer demand savings with central AC installed. DSavNOCAC = Summer demand savings with no central AC installed. CF = Demand Coincidence Factor (See Section 1.5)
Table 314: Building Mechanical System Variables for Premium Efficiency Motor Calculations Component Type Value Source HP Variable Nameplate EDC Data Gathering RHRS Variable Based on logging, panel data or modeling EDC Data Gathering Default Table 317 From Table 317 LF Variable Based on spot metering and nameplate EDC Data Gathering Default 75% 1 ηbase Variable Early Replacement: Nameplate EDC Data Gathering New Construction or Replace on Burnout: Default comparable standard motor. NEMA Premium (See Table 315 and Table 316) Table 315 and Table 316 ηee Variable Nameplate EDC Data Gathering CF Variable Single Motor Configuration: 74% Duplex Motor Configuration: 37% 1 Sources: California Public Utility Commission. Database for Energy Efficiency Resources 2005. The coincident peak demand period is 12:00 p.m. to 6:00 p.m., weekdays, May – October. Note that the Energy Independence and Security Act of 2007 restates the definition of General Purpose Electric Motors and classifies them as Subtype I or Subtype II. The term ‘General Purpose electric motor (Subtype I)’ means any motor that meets the definition of ‘General Purpose’ as established in the final rule issued by the Department of Energy titled “Energy Efficiency Program for Certain Commercial and Industrial Equipment: Test Procedures, Labeling, and Certification Requirements for Electric Motors” (10 CFR 431), as in effect on the date of enactment of the Energy Independence and Security Act of 2007. The term ‘General Purpose electric motor (Subtype II)’ means motors incorporating the design elements of a general purpose electric motor (Subtype I) that are configured as one of the following: A U-Frame Motor A Design C Motor A close-coupled pump motor A Footless motor
Table 320: Variables for HVAC Systems Component Type Value Source BtuH Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering EERbase Variable Early Replacement: Nameplate data EDC’s Data Gathering New Construction or Replace on Burnout: Default values from Table 321 See Table 321 EERee Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering SEERbase Variable Early Replacement: Nameplate data EDC’s Data Gathering New Construction or Replace on Burnout: Default values from Table 321 See Table 321 SEERee Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering COPbase Variable Early Replacement: Nameplate data EDC’s Data Gathering New Construction or Replace on Burnout: Default values from Table 321 See Table 321 COPee Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering HSPFbase Variable Early Replacement: Nameplate data EDC’s Data Gathering New Construction or Replace on Burnout: Default values from Table 321 See Table 321 HSPFee Variable Nameplate data (AHRI or AHAM) EDC’s Data Gathering CF Fixed 55% 2 EFLHcool Variable Based on Logging, BMS data or Modeling EDC’s Data Gathering Default values from Table 322 See Table 322 EFLHheat Variable Based on Logging, BMS data or Modeling EDC’s Data Gathering Default values from Table 323 See Table 323 Note: For water-source and evaporatively-cooled air conditioners, subtract 0.2 from the required baseline efficiency rating value if unit has heating section other than electric resistance. Integrated Energy Efficiency Ratios (IEERs) are only applicable to equipment with capacity modulation. Sources:
Table 335: Variables for HE Evaporator Fan Motor Motor Category Weighting Percentage (population)1 Motor Output Watts SP Efficiency1 SP Input Watts PSC Efficiency2 PSC Input Watts ECM Efficiency1 ECM Input Watts 1-14 watts (Using 9 watt as industry average) 91% 9 18% 50 41% 22 66% 14 16-23 watts (Using 19.5 watt as industry average) 3% 19.5 21% 93 41% 48 66% 30 1/20 HP (~37 watts) 6% 37 26% 142 41% 90 66% 56 Sources: Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Display Case ECM, FY2010, V2. Accessed from RTF website http://www.nwcouncil.org/rtf/measures/Default.asp on July 30, 2010. AO Smith New Product Notification. I-motor 9 & 16 Watt. Stock Numbers 9207F2 and 9208F2. Web address: http://www.aosmithmotors.com/uploadedFiles/Bulletin%206029B_6-09_web.pdf. Accessed July 30, 2010.
Table 338: Shaded Pole to ECM Deemed Savings Measure Wbase (Shaded Pole) Wee (ECM) LF DCEvap DG COP per case Temp Demand Impact (kW) Energy Impact (kWh) Cooler: Shaded Pole to ECM: 1-14 Watt 50 14 0.9 100% 0.98 2.5 0.0461 404 Cooler: Shaded Pole to ECM: 16-23 Watt 93 30 0.9 100% 0.98 2.5 0.0802 703 Cooler: Shaded Pole to ECM: 1/20 HP (37 Watt) 142 56 0.9 100% 0.98 2.5 0.1093 958 Freezer: Shaded Pole to ECM: 1-14 Watt 50 14 0.9 94.4% 0.98 1.3 0.0551 483 Freezer: Shaded Pole to ECM: 16-23 Watt 93 30 0.9 94.4% 0.98 1.3 0.0960 841 Freezer: Shaded Pole to ECM: 1/20 HP (37 Watt) 142 56 0.9 94.4% 0.98 1.3 0.1308 1146 Table 339: Default High-Efficiency Evaporator Fan Motor Deemed Savings Measure Cooler Weighted Demand Impact (kW) Cooler Weighted Energy Impact (kWh) Freezer Weighted Demand Impact (kW) Freezer Weighted Energy Impact (kWh) Default Demand Impact (kW) Default Energy Impact (kWh) Shaded Pole to PSC 0.0380 333 0.0455 399 0.0404 354 PSC to ECM 0.0129 113 0.0154 135 0.0137 120 Shaded Pole to ECM 0.0509 446 0.0609 534 0.0541 474
Measure Life 15 years Sources: “ActOnEnergy; Business Program-Program Year 2, June, 2009 through May, 2010. Technical Reference Manual, No. 2009-01.” Published 12/15/2009. “Efficiency Maine; Commercial Technical Reference User Manual No. 2007-1.” Published 3/5/07. Regional Technical Forum (RTF) as part of the Northwest Power & Conservation Council, Deemed Measures List. Grocery Display Case ECM, FY2010, V2. Accessed from RTF website http://www.nwcouncil.org/rtf/measures/Default.asp on July 30, 2010. High-Efficiency Evaporator Fan Motors for Walk-in Refrigerated Cases This protocol covers energy and demand savings associated with retrofit of existing shaded-pole (SP) or permanent-split capacitor (PSC) evaporator fan motors in walk-in refrigerated display cases with an electronically commutated motor (ECM). A default savings option is offered if case temperature and/or motor size are not known. However, these parameters should be collected by EDCs for greatest accuracy. There are two sources of energy and demand savings through this measure. There are the direct savings associated with replacement of an inefficient motor with a more efficient one, and there are the indirect savings of a reduced cooling load on the refrigeration unit due to less heat gain from the more efficient evaporator fan motor in the air-stream. Algorithms Cooler kWpeak per unit = (Wbase – Wee) / 1,000 * LF * DCEvapCool * (1 + 1 / (DG * COPcooler)) kWhper unit = kWpeak per unit * HR kWpeak = N *kWpeak per unit kWh = N * kWhper unit Freezer kWpeak per unit = (Wbase – Wee) / 1,000 * LF * DCEvapFreeze * (1 + 1 / (DG * COPfreezer)) kWhper unit = kWpeak per unit * HR
Table 343: Shaded Pole to ECM Deemed Savings Measure Wbase (Shaded Pole) Wee (ECM) LF DCEvap DG COP per case Temp Demand Impact (kW) Energy Impact (kWh) Cooler: Shaded Pole to ECM: 1/40 HP (16-23 Watt) 93 30 0.9 100% 0.98 2.5 0.0798 661 Cooler: Shaded Pole to ECM: 1/20 HP (37 Watt) 142 56 0.9 100% 0.98 2.5 0.1090 902 Cooler: Shaded Pole to ECM: 1/15 HP (49 Watt) 191 75 0.9 100% 0.98 2.5 0.1470 1,216 Freezer: Shaded Pole to ECM: 1/40 HP (16-23 Watt) 93 30 0.9 94.4% 0.98 1.3 0.0955 790 Freezer: Shaded Pole to ECM: 1/20 HP (37 Watt) 142 56 0.9 94.4% 0.98 1.3 0.1304 1,079 Freezer: Shaded Pole to ECM: 1/15 HP (49 Watt) 191 75 0.9 94.4% 0.98 1.3 0.1759 1,455 Table 344: Default High-Efficiency Evaporator Fan Motor Deemed Savings Measure Cooler Weighted Demand Impact (kW) Cooler Weighted Energy Impact (kWh) Freezer Weighted Demand Impact (kW) Freezer Weighted Energy Impact (kWh) Default Demand Impact (kW) Default Energy Impact (kWh) PSC to ECM 0.0469 388 0.0561 464 0.0499 413 Shaded Pole to ECM 0.1258 1,041 0.1506 1,246 0.1335 1,105
using the formula for CEE Tier 2 specifications. The two energy consumption values are then applied to the energy savings algorithm above. Table 351: Ice Machine Energy Usage Ice machine type Ice harvest rate (H) (lbs/day) Baseline energy use per 100 lbs of ice (kWhbase) High-efficiency energy use per 100 lbs of ice (kWhhe) Ice-Making Head <450 10.26 – 0.0086*H 9.23 – 0.0077*H ≥450 6.89 – 0.0011*H 6.20 – 0.0010*H Remote-Condensing w/out remote compressor <1000 8.85 – 0.0038*H 8.05 – 0.0035*H ≥1000 5.1 4.64 Remote-Condensing with remote compressor <934 8.85 – 0.0038*H 8.05 – 0.0035*H ≥934 5.3 4.82 Self-Contained <175 18 – 0.0469*H 16.7 – 0.0436*H ≥175 9.8 9.11 Measure Life Measure life = 10 years. Sources: Karas, A., Fisher, D. (2007), A Field Study to Characterize Water and Energy Use of Commercial Ice-Cube Machines and Quantify Saving Potential, Food Service Technology Center, December 2007, Energy-Efficient Products, How to Buy an Energy-Efficient Commercial Ice Machine, U.S. Department of Energy, Energy Efficiency and Renewable Energy, accessed August 2010 at Wall and Ceiling Insulation Wall and ceiling insulation is one of the most important aspects of the energy system of a building. Insulation dramatically minimizes energy expenditure on heating and cooling. Increasing the R-value of wall insulation above building code requirements generally lowers heating and
the computer back from standby, sleep, or off modes. However, these strategies use a large amount of energy during times when the computer is not in active use. Studies have shown that energy consumed during non-use periods is large, and is often the majority of total energy consumed. Qualifying software must control desktop computer and monitor power settings within a network from a central location. Eligibility Requirements The deemed savings reported in Table 374 are applicable to any software that meets the following Pacific Northwest Regional Technical Forum's (“RTF”) Networked Computer Power Management Control Software Specifications: Workstation is defined as the computer monitor and the PC box. The software shall have wake-on-LAN capability to allow networked workstations to be remotely wakened from or placed into any power-saving mode and to remotely boot or shut down ACPI-compliant workstations. The software shall give the IT administrator easily-accessible central control over the power management settings of networked workstations that optionally overrides settings made by users. The software shall be capable of applying specific power management policies to network groups, utilizing existing network grouping capabilities. The software shall be compatible with multiple operating systems and hardware configurations on the same network. The software shall monitor workstation keyboard, mouse, CPU and disk activity in determining workstation idleness. Deemed Savings The energy savings per unit found in various studies specific to the Verdiem Surveyor software varied from 33.8 kWh/year to 330 kWh/year, with an average savings of about 200 kWh/year. This includes the power savings from the PC as well as the monitor. Deemed savings are based on a research study conducted by Regional Technical Forum which involves actual field measurements of the Verdiem Surveyor product. The study reports deemed energy and demand savings for three different building types (schools, large office and small office) in combination with different HVAC systems types (electric heat, gas heat, and heat pumps). The deemed savings values in Table 374 also take into account the HVAC interactive effects. A simple average is reported for Pennsylvania.
kWee = kW of post-retrofit or energy-efficient lighting system (LED) lighting per letter CF = Demand Coincidence Factor (See Section 1.5) HOU = Hours of Use IFdemand = Interactive HVAC Demand Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary demand savings in cooling required which results from decreased indoor lighting wattage. IFenergy = Interactive HVAC Energy Factor – applies to C&I interior lighting in space that has air conditioning or refrigeration only. This represents the secondary energy savings in cooling required which results from decreased indoor lighting wattage. SVGEE = Savings factor for new lighting control (percent of time the lights are off). SVGbase = Savings factor for existing lighting control (percent of time the lights are off), typically manual switch. Table 393: LED Channel Signage Calculation Assumptions Component Type Value Source kWbase Variable EDC Data Gathering Default: See Table 394 EDC Data Gathering kWee Variable EDC Data Gathering Default: See Table 394 EDC Data Gathering CF Variable EDC Data Gathering Default for Indoor Applications: See Table 36 Default for Outdoor Applications: 0 EDC Data Gathering Table 36 HOU Variable EDC Data Gathering Default: See Table 36 EDC Data Gathering Table 36 IFdemand Fixed See Table 37 Table 37 IFenergy Fixed See Table 37 Table 37 SVGbase and SVGEE Variable Default: See Table 39: Savings Control Factors Assumptions Table 39: Savings Control Factors Assumptions
Figure 312: Energy to demand factors for four commercial building types Definition of Terms The parameters in the above equation are listed in Table 3111. Table 3111: Commercial Water Heater Fuel Switch Calculation Assumptions Component Type Values Source EFbase, Energy Factor of baseline water heater Variable Default: 0.904 1 Nameplate EDC Data Gathering EFfuel, Energy Factor of installed fossil fuel water heater* Variable >=0.67 for Natural Gas and Propane >=0.495 for Oil 5, EDC Data Gathering EFTankless Water Heater , Energy Factor of installed tankless water heater Variable >=0.82 5 DFfuel, adjust, Fossil Fuel Water Heaters Derating Adjustment factor Fixed Storage Water Heaters: 1.0 Tankless Water Heaters: 0.91 7 Load, Average annual Load in kBTU Fixed Varies DEER Database Thot, Temperature of hot water Fixed 123 °F 2 Tcold, Temperature of cold water supply Fixed 55 °F 3 HW, Average annual gallons of Use Variable Default: See Table 3110 Calculation EDC Data Gathering EDC Data Gathering EnergyToDemandFactor Fixed 0.000178 4 EFNG, base, Energy Factor of baseline gas water heater Fixed 0.594 5 ResistiveDiscountFactor Fixed 1.0 6 Energy Factors based on Tank Size Federal Standards for Energy Factors are equal to 0.97 -0.00132 x Rated Storage in Gallons. The following table shows the Energy Factors for various tank sizes.
Option 2: Compliance through luminaire performance IESNA LM-79-08 report at 0 hours (same file as point c) IESNA LM-79-08 report at 6000 hours after continuous operation in the appropriate ANSI/UL 1598 environment (use ANSI/UL 1574 for track lighting systems). All supporting documentation must include a specific, relevant model or part number. Appendix G: Zip Code Mapping Per Section 1.17, the following table is to be used to determine the appropriate reference city for each Pennsylvania zip code. Zip Reference City 15001 Pittsburgh 15003 Pittsburgh 15004 Pittsburgh 15005 Pittsburgh 15006 Pittsburgh 15007 Pittsburgh 15009 Pittsburgh 15010 Pittsburgh 15012 Pittsburgh 15014 Pittsburgh 15015 Pittsburgh 15017 Pittsburgh 15018 Pittsburgh 15019 Pittsburgh 15020 Pittsburgh 15021 Pittsburgh 15022 Pittsburgh 15024 Pittsburgh 15025 Pittsburgh 15026 Pittsburgh 15027 Pittsburgh 15028 Pittsburgh 15030 Pittsburgh 15031 Pittsburgh 15032 Pittsburgh 15033 Pittsburgh 15034 Pittsburgh 15035 Pittsburgh 15036 Pittsburgh 15037 Pittsburgh 15038 Pittsburgh 15042 Pittsburgh 15043 Pittsburgh 15044 Pittsburgh 15045 Pittsburgh 15046 Pittsburgh 15047 Pittsburgh 15049 Pittsburgh 15050 Pittsburgh 15051 Pittsburgh 15052 Pittsburgh 15053 Pittsburgh 15054 Pittsburgh 15055 Pittsburgh 15056 Pittsburgh 15057 Pittsburgh 15059 Pittsburgh 15060 Pittsburgh 15061 Pittsburgh 15062 Pittsburgh 15063 Pittsburgh 15064 Pittsburgh 15065 Pittsburgh 15066 Pittsburgh 15067 Pittsburgh 15068 Pittsburgh 15069 Pittsburgh 15071 Pittsburgh 15072 Pittsburgh 15074 Pittsburgh 15075 Pittsburgh 15076 Pittsburgh 15077 Pittsburgh 15078 Pittsburgh 15081 Pittsburgh 15082 Pittsburgh 15083 Pittsburgh 15084 Pittsburgh 15085 Pittsburgh 15086 Pittsburgh 15087 Pittsburgh 15088 Pittsburgh 15089 Pittsburgh 15090 Pittsburgh 15091 Pittsburgh 15095 Pittsburgh 15096 Pittsburgh 15101 Pittsburgh 15102 Pittsburgh 15104 Pittsburgh 15106 Pittsburgh 15108 Pittsburgh 15110 Pittsburgh 15112 Pittsburgh 15116 Pittsburgh 15120 Pittsburgh 15122 Pittsburgh 15123 Pittsburgh 15126 Pittsburgh 15127 Pittsburgh 15129 Pittsburgh 15130 Pittsburgh 15131 Pittsburgh 15132 Pittsburgh 15133 Pittsburgh 15134 Pittsburgh
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16510 Erie 16511 Erie 16512 Erie 16514 Erie 16515 Erie 16522 Erie 16530 Erie 16531 Erie 16532 Erie 16533 Erie 16534 Erie 16538 Erie 16541 Erie 16544 Erie 16546 Erie 16550 Erie 16553 Erie 16554 Erie 16563 Erie 16565 Erie 16601 Pittsburgh 16602 Pittsburgh 16603 Pittsburgh 16611 Harrisburg 16613 Pittsburgh 16616 Pittsburgh 16617 Williamsport 16619 Pittsburgh 16620 Williamsport 16621 Harrisburg 16622 Harrisburg 16623 Harrisburg 16624 Pittsburgh 16625 Pittsburgh 16627 Pittsburgh 16629 Pittsburgh 16630 Pittsburgh 16631 Harrisburg 16633 Harrisburg 16634 Harrisburg 16635 Pittsburgh 16636 Pittsburgh 16637 Pittsburgh 16638 Harrisburg 16639 Pittsburgh 16640 Pittsburgh 16641 Pittsburgh 16644 Pittsburgh 16645 Pittsburgh 16646 Pittsburgh 16647 Harrisburg 16648 Pittsburgh 16650 Harrisburg 16651 Williamsport 16652 Harrisburg 16654 Harrisburg 16655 Pittsburgh 16656 Pittsburgh 16657 Harrisburg 16659 Harrisburg 16660 Harrisburg 16661 Williamsport 16662 Harrisburg 16663 Williamsport 16664 Pittsburgh 16665 Pittsburgh 16666 Williamsport 16667 Pittsburgh 16668 Pittsburgh 16669 Harrisburg 16670 Pittsburgh 16671 Williamsport 16672 Harrisburg 16673 Pittsburgh 16674 Harrisburg 16675 Pittsburgh 16677 Williamsport 16678 Harrisburg 16679 Harrisburg 16680 Williamsport 16681 Williamsport 16682 Pittsburgh 16683 Williamsport 16684 Williamsport 16685 Harrisburg 16686 Williamsport 16689 Harrisburg 16691 Harrisburg 16692 Pittsburgh 16693 Harrisburg 16694 Harrisburg 16695 Harrisburg 16698 Williamsport 16699 Pittsburgh 16701 Erie 16720 Williamsport 16724 Williamsport 16725 Erie 16726 Erie 16727 Erie 16728 Erie 16729 Erie 16730 Williamsport 16731 Williamsport 16732 Erie 16733 Erie 16734 Erie 16735 Erie 16738 Erie 16740 Erie 16743 Williamsport 16744 Erie 16745 Erie 16746 Williamsport 16748 Williamsport 16749 Williamsport 16750 Williamsport 16801 Williamsport 16802 Williamsport 16803 Williamsport 16804 Williamsport 16805 Williamsport 16820 Williamsport 16821 Williamsport 16822 Williamsport 16823 Williamsport 16825 Williamsport 16826 Williamsport 16827 Williamsport 16828 Williamsport 16829 Williamsport 16830 Williamsport 16832 Williamsport 16833 Williamsport 16834 Williamsport 16835 Williamsport 16836 Williamsport 16837 Williamsport 16838 Pittsburgh 16839 Williamsport 16840 Williamsport
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18042 Allentown 18043 Allentown 18044 Allentown 18045 Allentown 18046 Allentown 18049 Allentown 18050 Allentown 18051 Allentown 18052 Allentown 18053 Allentown 18054 Philadelphia 18055 Allentown 18056 Allentown 18058 Allentown 18059 Allentown 18060 Allentown 18062 Allentown 18063 Allentown 18064 Allentown 18065 Allentown 18066 Allentown 18067 Allentown 18068 Allentown 18069 Allentown 18070 Philadelphia 18071 Allentown 18072 Allentown 18073 Philadelphia 18074 Philadelphia 18076 Philadelphia 18077 Philadelphia 18078 Allentown 18079 Allentown 18080 Allentown 18081 Philadelphia 18083 Allentown 18084 Philadelphia 18085 Allentown 18086 Allentown 18087 Allentown 18088 Allentown 18091 Allentown 18092 Allentown 18098 Allentown 18099 Allentown 18101 Allentown 18102 Allentown 18103 Allentown 18104 Allentown 18105 Allentown 18106 Allentown 18109 Allentown 18175 Allentown 18195 Allentown 18201 Scranton 18202 Scranton 18210 Scranton 18211 Allentown 18212 Allentown 18214 Allentown 18216 Allentown 18218 Allentown 18219 Scranton 18220 Allentown 18221 Scranton 18222 Scranton 18223 Scranton 18224 Scranton 18225 Scranton 18229 Allentown 18230 Allentown 18231 Allentown 18232 Allentown 18234 Scranton 18235 Allentown 18237 Allentown 18239 Scranton 18240 Allentown 18241 Allentown 18242 Allentown 18244 Allentown 18245 Allentown 18246 Scranton 18247 Scranton 18248 Allentown 18249 Scranton 18250 Allentown 18251 Scranton 18252 Allentown 18254 Allentown 18255 Allentown 18256 Allentown 18301 Scranton 18302 Scranton 18320 Scranton 18321 Scranton 18322 Allentown 18323 Scranton 18324 Scranton 18325 Scranton 18326 Scranton 18327 Allentown 18328 Scranton 18330 Allentown 18331 Allentown 18332 Scranton 18333 Allentown 18334 Scranton 18335 Scranton 18336 Scranton 18337 Scranton 18340 Scranton 18341 Allentown 18342 Scranton 18343 Allentown 18344 Scranton 18346 Scranton 18347 Scranton 18348 Scranton 18349 Scranton 18350 Scranton 18351 Allentown 18352 Allentown 18353 Allentown 18354 Allentown 18355 Scranton 18356 Allentown 18357 Scranton 18360 Allentown 18370 Scranton 18371 Scranton 18372 Scranton 18373 Scranton 18401 Scranton 18403 Scranton 18405 Scranton 18407 Scranton 18410 Scranton 18411 Scranton 18413 Scranton 18414 Scranton
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