A P PENDIX 7

- C

. WEATHER S TATION D ATA MAPPING TO RECS AND CBECS

B UILDINGS

TABLE OF CO NTENTS

7

- C.1 INTRODUCTION

................................ ................................ ................................ . 7

- C

- 1

7

- C.2 MAPPING METHODOLOGY

................................ ................................ ............. 7

- C

- 1

7

- C.3 MAPPING RESULTS

................................ ................................ ........................... 7

- C

- 2

LIST OF TABLES

Table 7

- C.3.1 Weather Station Data

................................ ................................ ........... 7

- C

- 2

7

- C

- iAPPENDIX 7

- C. MAPPING OF W EATHER S TATION D ATA TO RECS AND CBEC S

B UILDINGS

7

- C.1 IN TRODUCTION

The Energy Information Administration’s (EIA ’s ) 2003 Commercial Building Energy

Consumption Survey (CBECS 2003) and 2009 Residential Energy Consumption Survey (RECS

2009) provide annual data about heating and cooling degree

- days

. 1

, 2 However, neither provide

data about outdoor design temperature (O DT), monthly heating degree days (HDD s ) and

monthly cooling degree days (CDD s ), and average outdoor temperature, which are important for

the analysis

. ODTs are used for sizing commercial packaged boiler equipment as described in

Appendix 7

- B. Energy price data used in this analysis are available on a monthly basis. Monthly

HDD s are used to disaggregate the annual energy use provided by RECS and CBECS by month.

M onthly energy use is combined with monthly energy prices to find the monthly operating cost.

7

- C.2 MA PPING M ETHODOLOGY

To derive the additional weather data that is needed for the analysis (e.g.

, ODT, HDD s ),

for each building in the sample, the U.S. Department of Energy ( DOE ) assign s a physical

location to each CBECS ` building and RECS household. a The methodology consists of th e

following steps:

1. DOE assemble s National Oceanic and Atmospheric Administration (NOAA) monthly

weather data from 360 weather stations . The data consist of reported heating and cooling

degree

- days at base temperature 65 o F for yea r 2003 (for the CBECS sample)

, and year

2009 (for the RECS sample)

. 3 The 2003 and 2009 heating and cooling degree days match

the time period used to determine the degree

- days in CBECS 2003 and in RECS 2009

, respectively

. 2. DOE gather s ODT data from the 1993 ASHRAE Handbook and only select s the weather

stations for which NOAA provide s HDD s and CDD s

, thus reduc ing the number of

weather stations in the matching process to 339. 4

3. CBECS and RECS report both HDD s and CDD s to base temperature 65 o F for each

building record. DOE assign s each building to one of the 339 weather stations by

calculating which weather station (within the appropriate region) i s the closest using the

best linear least

- squares fit of the CBECS/ RECS data to the weather data

. The following

equation calculate s the U.S. w eather station closest (or with minimum “distance”) to the

CBECS/RECS building :



### " " ( ) ( )

Distance

=

− +

− HDD HDD CDD CDD

2 1 2

2 1 2

Eq. 7

- C

. 1

a For confidentiality, h eating and cooling degree day values were altered slightly by EIA to mask the exact

geographic location of the housing unit.

7

- C

- 1Where:

HDD 1 = heating degree days from U.S. weather data,

HDD 2 = he ating degree days from CBECS/RECS data,

CDD 1 = cooling degree days from U.S. weather data, and

CDD 2 = co oling degree days from CBECS/RECS data.

7

- C.3 MAPPING RESULTS

Table 7

- C.3.1 shows the weather station results for all CBECS and RECS locations

. Note

that some U.S. weather station data match several CBECS/RECS weather data. The “Count”

column indicates t he number of CBECS/RECS buildings that match a specified weather station

. Table 7

- C.3.1 shows data matche s, including heating ODT, for 321 weather stations

.

Table 7

- C.3.1 Weather Station Data

Station Location

Code CBECS 2003 RECS 2009 Heating

ODT State City HDD CDD Count HDD CDD Count

AK Anchorage ANC 9300 25 1 10335 2 8

- 18

AK Bethel BET 11261 14 1 12530 0 1

- 24

AK Cold Bay CDB 8693 0 0 9668 0 2 10

AK Cordova CDV 8332 0 1 9511 0 2 1

AK Homer HOM 8686 0 0 9817 0 10 4

AK Juneau JNU 8198 2 1 8536 6 2 1

AK Kenai ENA 9819 3 0 10423 0 1

- 14

AK Ketchikan KTN 7160 0 11 7359 68 2 20

AK King Salmon AKN 9773 10 1 11088 0 1

- 19

AK Kodiak ADQ 8051 15 1 8903 0 1 13

AK Sitka SIT 6515 2 3

- - - -

AK St Paul Island SNP 9790 0 0 11420 0 4 3

AK Talkeetna TKA 8824 85 1

- - - -

AK Valdez VWS 8735 6 0 7074 23 2 7

AK Yakutat YAK 8591 0 0 9295 1 1 2

AL Birmingham BHM 2664 1874 20 2605 1958 25 21

AL Huntsville HSV 3121 1633 24 2982 1863 26 16

AL Mobile MOB 1667 2695 6 1594 2681 59 29

AL Montgomery MGM 2248 2212 9 2137 2367 3 25

AL Muscle Shoals MSL 3138 1533 9 2948 1773 12 21

7

- C

- 2AL Tuscaloosa TCL 2510 2047 13 2349 2136 10 23

AR Fayetteville FYV 4017 1202 12 3957 1185 48 12

AR Fort Smith FSM 3144 1998 0 3174 1906 3 17

AR Little Rock LIT 3105 2187 0 2946 1943 27 20

AR Texarkana TXK 2259 2573 5 2573 2006 10 23

AZ Douglas DUG 2340 2206 7 2160 2204 27 31

AZ Flagstaff FLG 6326 193 0 6741 176 2 4

AZ Phoenix PHX 702 4975 24 807 4942 26 34

AZ Tucson TUS 1279 3480 15 1268 3626 85 32

AZ Winslow INW 4377 1459 16 4233 1395 4 10

AZ Yuma NYL 558 4747 16 671 4757 82 39

CA Bakersfield BFL 1931 2692 25 1873 2644 177 32

CA Blythe BLH 853 4649 4 968 4580 8 33

CA Eureka EKA 4670 12 3 5137 2 2 33

CA Fresno FAT 2147 2412 48 2239 2390 50 30

CA Los Angeles LAX 1237 677 99 1294 569 117 43

CA Mt Shasta MHS 5294 418 24 5474 433 5 21

CA Paso Robles PRB 2699 1219 14 2676 1095 144 29

CA Red Bluff RBL 2635 2097 8 2452 2122 70 32

CA Redding RDD 2697 2247 0 2750 2086 63 31

CA Sacramento SAC 2417 1463 49 2531 1357 30 32

CA San Diego SAN 1060 724 98 1050 813 540 44

CA San Francisco SFO 2494 269 64 2614 220 278 38

CA Stockton SCK 2497 1525 21 2451 1468 122 30

CO Alamosa ALS 7762 151 4 8229 49 27

- 16

CO Colorado

Spring COS 5846 603 4 6301 356 90 2

CO Denver DEN 5796 800 6 5988 541 69 1

CO Eagle EGE 6889 369 5 7593 124 15

- 7

CO Pueblo PUB 4891 1115 2 5427 818 77 0

CO Trinidad TAD 5109 944 31 5323 719 17 3

CT Bridgeport BDR 5800 824 47 5484 669 57 9

CT Hartford BDL 6359 723 32 6072 610 94 7

DC Washington DCA 4338 1288 49 4124 1427 39 17

DE Wilmington ILG 5206 1010 15 4789 1031 14 14

FL Daytona DAB 849 3153 35 753 3321 99 35

7

- C

- 3Beach

FL Fort Myers FMY 370 4062 28 294 4151 63 44

FL Ft Lauderdale FLL 194 4622 10 118 4839 30 46

FL Gainesville GNV 1288 2700 26 1181 2789 118 31

FL Jacksonville JAX 1450 2605 8 1339 2772 60 32

FL Key West EYW 127 5071 11 108 5017 11 57

FL Melbourne MLB 632 3469 16 526 3718 80 43

FL Miami MIA 166 4721 9 109 4914 2 47

FL Orlando MCO 661 3528 11 588 3620 103 38

FL Pensacola PNS 1565 2642 10 1443 2729 44 29

FL Tallahassee TLH 1673 2538 2 1574 2802 31 30

FL Tampa TPA 639 3666 39 496 3876 112 40

FL Vero Beach VRB 544 3582 16 477 3604 26 43

FL West Palm

Beach PBI 294 4388 26 239 4314 169 45

GA Albany ABY 1927 2413 0 1767 2686 5 29

GA Athens AHN 2831 1564 45 2882 1903 253 22

GA Atlanta ATL 2732 1614 33 2813 1838 87 22

GA Augusta AGS 2561 1820 9 2475 2068 55 23

GA Brunswick SSI 1557 2513 15

- - - -

GA Columbus CSG 2053 2284 2 2183 2194 2 24

GA Macon MCN 2261 2195 34 2288 2133 17 25

GA Savannah SAV 1851 2434 5 1739 2497 21 27

GA Waycross AYS 1424 2689 17

HI Hilo

- Hawaii ITO 0 3669 7 0 3050 14 62

HI Honolulu

Oahu HNL 0 5030 4 0 4816 14 63

HI Kahului

- Maui OGG 0 4270 2 1 3746 21 61

HI Lihue

- Kauai LIH 0 4136 3 2 3611 5 62

IA Burlington BRL 6031 870 10 5687 810 24

- 3

IA Cedar Rapids CID 6861 721 17 6977 419 15

- 5

IA Des Moines DSM 6263 1130 2 6124 898 33

- 5

IA Dubuque DBQ 7189 602 10 7204 345 1

- 7

IA Mason City MCW 7699 556 16 7856 338 15

- 11

IA Ottumwa OTM 6335 883 12 6317 588 43

- 4

IA Sioux City SUX 6699 833 17 6913 678 75

- 7

7

- C

- 4IA Waterloo ALO 6962 849 8 7253 448 58

- 10

ID Boise BOI 4877 1316 1 5592 1199 9 10

ID Burley BYI 5978 568 15 6697 397 1 2

ID Idaho Falls IDA 7069 409 8

- - - -

ID Lewiston LWS 4803 1081 15 5386 1008 3 6

ID Pocatello PIH 6443 675 16 7463 321 17

- 1

IL Chicago ORD 6446 697 37 6417 585 40 0

IL Moline MLI 6207 933 17 6250 636 35

- 4

IL Peoria PIA 5846 906 46 5841 752 62

- 4

IL Quincy UIN 5580 938 7 5460 849 12 3

IL Rockford RFD 6738 732 52 6738 433 58

- 4

IL Springfield SPI 5549 916 10 5234 933 41 2

IN Evansville EVV 4530 1143 22 4397 1283 13 9

IN Fort Wayne FWA 6481 576 24 6077 601 41 1

IN Indianapolis IND 5551 883 7 5203 953 22 2

IN South Bend SBN 6416 626 10 6426 545 54 1

IN West

Lafayette LAF 5690 825 32 5436 826 32 3

KS Concordia CNK 5231 1465 14 5558 1094 18 3

KS Dodge City DDC 4926 1490 8 4975 1257 27 5

KS Garden City GCK 5025 1367 24 5014 1154 31 4

KS Goodland GLD 5494 1096 22 6016 722 11 0

KS Russell RSL 5157 1459 3 5298 1194 46 4

KS Salina SLN 4608 1771 8

- - - -

KS Topeka TOP 4887 1499 21 4968 1195 9 4

KS Wichita ICT 4502 1620 56 4552 1506 68 7

KY Bowling

Green BWG 4087 1183 34 3808 1407 52 10

KY Jackson JKL 4299 917 5 4237 984 15 14

KY Lexington LEX 4750 954 8 4670 1020 40 8

KY Louisville SDF 4201 1307 9 4155 1316 29 10

KY Paducah PAH 4365 1258 10 4198 1239 39 12

LA Baton Rouge BTR 1683 2674 17 1404 2985 24 29

LA Lafayette LFT 1581 2787 14 1296 3086 3 30

LA Lake Charles LCH 1525 2823 18 1380 2980 10 31

LA Monroe MLU 2381 2353 7 2118 2547 11 25

7

- C

- 5LA New Orleans MSY 1327 3162 11 1156 3221 35 33

LA Shreveport SHV 2143 2504 3

- - - -

MA Boston BOS 6067 745 13 5694 581 243 9

MA Worcester ORH 7006 479 32 6699 370 258 4

MD Baltimore BWI 5010 1020 22 4745 1088 34 13

MD Salisbury SBY 4870 1010 55 4345 1149 19 16

ME Augusta AUG 7746 420 11 7487 276 18

- 3

ME Bangor BGR 8161 403 21 8098 246 19

- 6

ME Caribou CAR 9754 214 2 9415 149 13

- 13

ME Houlton HUL 9458 238 3 9316 178 24

- 13

ME Portland PWM 7508 355 21 7107 294 108

- 1

MI Alpena APN 8468 241 7

- - - -

MI Detroit DTW 6398 659 19 6224 588 81 6

MI Flint FNT 6891 494 22 7068 328 40 1

MI Grand Rapids GRR 7030 487 17 6580 444 35 5

MI Houghton

Lake HTL 8311 197 1

- - - -

MI Jackson JXN 6955 392 2 6585 420 11 5

MI Lansing LAN 7239 385 10 6830 372 36 1

MI Marquette MQT 9288 248 3

- - - -

MI Muskegon MKG 6740 516 32 6719 371 38 6

MI Saginaw MBS 7313 406 8 6960 350 19 4

MI Sault St Marie SSM 8809 168 2

- - - -

MI Traverse City TVC 7826 345 13 7695 253 14 1

MN Alexandria AXN 8675 553 9 8922 340 8

- 16

MN Duluth DLH 9526 265 0 9517 118 10

- 16

MN Hibbing HIB 10000 203 0 10159 64 4

- 20

MN Int'l Falls INL 10115 220 5 10648 72 8

- 25

MN Minneapolis MSP 7538 880 3 7613 646 48

- 12

MN Rochester RST 7957 512 16 7884 321 9

- 12

MN Saint Cloud STC 8489 496 2 8704 301 74

- 11

MO Columbia COU 5010 1151 5 4999 958 125 4

MO Joplin JLN 3974 1677 11 4216 1382 98 10

MO Kansas City MCI 5053 1419 0 5084 1093 213 6

MO Saint Louis STL 4445 1485 3 4438 1457 70 6

MO Springfield SGF 4529 1321 6 4596 1114 180 9

7

- C

- 6MS Greenwood GWO 2668 2080 0 2376 2250 1 20

MS McComb MCB 1909 2482 0 1833 2472 34 26

MS Tupelo TUP 3002 1722 4 2842 1947 20 19

MT Billings BIL 6623 1017 0 6948 627 9

- 10

MT Butte BTM 8967 180 6

- - - -

MT Cut Bank CTB 8419 313 6

- - - -

MT Great Falls GTF 7431 576 5 7941 300 1

- 15

MT Havre HVR 8190 683 6

- - - -

MT Helena HLN 7066 798 2 7704 444 1

- 16

MT Kalispell FCA 7681 317 2

- - - -

MT Lewistown LWT 7878 493 4

- - - -

MT Miles City MLS 7377 1064 0 7700 716 1

- 15

MT Missoula MSO 7073 518 1 7588 355 2

- 6

NC Asheville AVL 4207 718 0 4194 768 23 14

NC Cape Hatteras HAT 2446 1687 30

- - - -

NC Charlotte CLT 3311 1308 50 3346 1611 71 22

NC Greensboro GSO 3622 1210 28 3605 1510 41 18

NC Hickory HKY 3703 1032 31 3593 1353 42 18

NC New Bern EWN 2797 1818 25 2769 1788 16 24

NC Raleigh

Durham RDU 3413 1459 42 3164 1865 55 20

NC Wilmington ILM 2625 1864 2 2521 1937 14 26

ND Bismarck BIS 8505 738 9 9130 332 16

- 19

ND Devil's Lake P11 9544 454 3 10245 236 8

- 21

ND Fargo FAR 8862 616 17 9304 362 17

- 18

ND Grand Forks GFK 9575 417 3 9928 269 8

- 22

ND Minot MOT 9066 609 20 9559 314 9

- 20

ND Williston ISN 9603 670 14 9721 297 8

- 21

NE Grand Island GRI 5942 1059 16 6431 788 26

- 3

NE Lincoln LNK 6027 1131 5 6159 912 14

- 2

NE Norfolk OFK 6312 962 8 6789 643 4

- 4

NE North Platte LBF 6249 926 2 6946 534 14

- 4

NE Omaha OMA 6130 1158 3 6288 851 32

- 3

NE Scottsbluff BFF 6293 867 4 6689 579 6

- 3

NE Valentine VTN 6861 917 4 7279 527 2

- 8

NH Concord CON 7666 541 2 7462 325 5

- 3

7

- C

- 7NH Lebanon LEB 8434 362 6 7312 371 18

- 3

NJ Atlantic City ACY 5328 1012 58 4693 994 57 13

NJ Newark EWR 5165 1098 38 4790 1021 147 14

NM Albuquerque ABQ 3663 1678 0 3823 1435 17 16

NM Carlsbad CNM 2322 2370 0 2398 2376 2 19

NM Clayton CAO 4390 1025 9 4517 1143 31 9

NM Gallup GUP 5827 550 8 6134 442 6 5

NM Roswell ROW 2678 2063 0 3098 1961 7 18

NV Elko EKO 6266 597 25 6948 450 1

- 2

NV Ely ELY 6856 404 8 7925 125 4

- 4

NV Las Vegas LAS 1882 3846 41 1882 3818 66 28

NV Lovelock LOL 5463 975 8

- - - -

NV Reno RNO 4556 1184 11

- - - -

NV Tonopah TPH 5102 1127 4 5298 874 5 10

NV Winnemucca WMC 5696 736 13 6236 611 2 3

NY Albany ALB 7023 613 12 6644 433 149

- 1

NY Binghamton BGM 7580 316 3 7067 261 59 1

NY Buffalo BUF 6909 429 18 6651 361 54 6

NY Glens Falls GFL 8024 376 15 7612 285 26

- 5

NY Massena MSS 8752 381 6 7980 298 2

- 8

NY New York LGA 5025 1155 43 4647 1041 469 15

NY Rochester ROC 6986 477 9 6765 315 46 5

NY Syracuse SYR 6939 522 15 6687 439 23 2

NY Utica UCA 7580 386 33

- - - -

NY Watertown ART 8018 379 5 7707 298 11

- 6

OH Akron Canton CAK 6361 543 17 6131 497 6 6

OH Cincinnati CVG 5229 838 70 4950 874 13 6

OH Cleveland CLE 6077 685 50 5833 664 44 5

OH Columbus CMH 5504 765 46 5243 874 32 5

OH Dayton DAY 5832 676 65 5602 732 45 4

OH Findlay FDY 6156 643 52 5901 698 34 3

OH Mansfield MFD 6493 476 7 6214 468 10 5

OH Toledo TOL 6311 630 34 6283 592 32 1

OH Youngstown YNG 6566 394 6 6239 443 8 4

OK Hobart HBR 3439 2129 6 3392 2034 1 16

OK McAlester MLC 3082 1973 47 3136 1845 6 19

7

- C

- 8OK Oklahoma

City OKC 3529 1881 46 3519 1849 37 13

OK Tulsa TUL 3473 2053 13 3608 1885 24 13

OR Astoria AST 4517 22 0 4871 39 4 29

OR Baker BKE 6650 315 30 7529 220 2 6

OR Eugene EUG 4269 350 6 4999 331 89 22

OR Medford MFR 4002 1060 4

- - - -

OR Pendleton PDT 4739 895 32 5713 720 6 5

OR Portland PDX 3908 623 13 4357 635 32 23

OR Redmond RDM 6020 353 41 6737 313 17 9

OR Salem SLE 4162 467 4 4660 457 50 23

PA Allentown ABE 5935 797 61 5725 622 22 9

PA Altoona AOO 6515 439 12 6109 433 17 5

PA Bradford BFD 8029 125 1

- - - -

PA Du Bois DUJ 7092 243 9 6753 254 5 5

PA Erie ERI 6496 489 42 6183 423 9 9

PA Harrisburg CXY 5534 856 76 5097 866 111 11

PA Philadelphia PHL 4894 1269 106 4557 1219 46 14

PA Pittsburgh PIT 5892 587 51 5661 617 6 5

PA Williamsport IPT 6233 611 62 5636 644 69 7

RI Providence PVD 5961 742 13 5717 579 69 9

SC Charleston CHS 1981 2272 3 1941 2390 13 27

SC Columbia CAE 2562 1908 33 2561 2220 19 24

SC Florence FLO 2644 1839 11 2541 2061 13 25

SC Greenville GSP 3108 1379 58 3116 1735 42 22

SD Aberdeen ABR 8324 605 33 8872 329 13

- 15

SD Huron HON 7598 860 7 8070 469 105

- 14

SD Pierre PIR 7200 961 5 7738 577 36

- 10

SD Rapid City RAP 7034 905 5 7738 362 12

- 7

SD Sioux Falls FSD 7463 724 17 7670 481 42

- 11

TN Bristol TRI 4294 860 1 4267 930 28 14

TN Chattanooga CHA 3206 1498 34 3168 1808 35 18

TN Crossville CSV 4240 839 4 4100 940 33 15

TN Jackson MKL 3603 1394 14 3379 1597 22 16

TN Knoxville TYS 3584 1282 34 3643 1392 91 19

TN Memphis MEM 2954 1961 17 2906 2091 3 18

7

- C

- 9TN Nashville BNA 3595 1449 23 3615 1558 37 14

TX Abilene ABI 2366 2374 3 2359 2494 217 20

TX Alice ALI 1022 3628 28 738 4832 23 34

TX Amarillo AMA 3787 1410 43 4034 1340 33 11

TX Austin AUS 1888 2793 4 1722 3214 45 28

TX Brownsville BRO 587 4025 8 525 4300 20 39

TX College

Station CLL 1662 2965 34 1404 3476 29 29

TX Corpus Christi CRP 968 3462 8 811 4058 8 35

TX Dallas

- Ft.

Worth DFW 2239 2752 25 2097 2745 61 22

TX Del Rio DRT 1338 3406 16 1252 3807 29 31

TX El Paso ELP 2207 2696 4 2106 2783 43 24

TX Galveston GLS 1058 3343 17 907 3640 3 36

TX Houston IAH 1386 3185 20 1267 3410 170 32

TX Laredo LRD 826 4348 37 602 5330 1 36

TX Lubbock LBB 2960 1950 28 3178 1965 10 15

TX Lufkin LFK 1966 2600 7 1803 2839 64 29

TX McAllen MFE 707 4415 26 393 5387 3 39

TX Midland

Odessa MAF 2366 2509 15 2495 2445 81 21

TX San Angelo SJT 2180 2497 0 2020 2814 56 22

TX San Antonio SAT 1485 3039 25 1270 3598 28 30

TX Victoria VCT 1270 3217 10 1123 3608 35 32

TX Waco ACT 1975 2776 16 1927 3086 18 26

TX Wichita Falls SPS 2752 2485 20 2838 2394 14 18

UT Cedar City CDC 5606 810 17 6058 645 56 5

UT Salt Lake City SLC 5060 1544 0 5716 1147 29 8

VA Lynchburg LYH 4434 884 6 4433 1003 159 16

VA Norfolk ORF 3279 1761 51 3330 1659 41 22

VA Richmond RIC 3971 1336 51 3781 1564 47 17

VA Roanoke ROA 4216 1002 10 3931 1173 34 16

VT Burlington BTV 7833 576 1

- - - -

VT Montpelier MPV 8793 305 13 7998 237 12

- 6

WA Bellingham BLI 5124 54 5 5568 115 8 15

WA Olympia OLM 5095 144 0 5614 178 24 22

WA Quillayute UIL 5411 20 2 5869 44 7 27

7

- C

- 10WA Seattle

Tacoma SEA 4509 277 11 4879 319 94 26

WA Spokane GEG 6295 592 0 6942 599 5 2

WA Walla Walla ALW 4498 1189 0 5062 1144 12 7

WA Yakima YKM 5433 734 0 6204 699 25 5

WI Eau Claire EAU 7949 623 20 8208 333 23

- 11

WI Green Bay GRB 7878 386 18 8005 275 55

- 9

WI Lacrosse LSE 7126 854 14 7334 536 16

- 9

WI Madison MSN 7356 560 58 7343 368 66

- 7

WI Milwaukee MKE 7058 601 48 6816 474 28

- 4

WI Wausau AUW 8299 466 14 8337 277 54

- 12

WV Beckley BKW 5439 487 2 5325 404 16 4

WV Charleston CRW 4628 789 3 4443 960 3 11

WV Elkins EKN 6291 322 2 5993 284 3 6

WV Huntington HTS 4487 881 6 4557 922 3 10

WV Martinsburg MRB 5411 783 19 5046 854 63 10

WV Morgantown MGW 5358 628 1 4957 836 15 8

WV Parkersburg PKB 5138 729 4 4910 850 19 11

WY Casper CPR 7192 587 6

- - - -

WY Cheyenne CYS 6680 577 11 7390 203 11

- 1

WY Cody COD 6992 686 7 7551 410 2

- 13

WY Lander LND 7475 713 0 7743 351 1

- 11

WY Rock Springs RKS 7574 540 2 8204 230 3

- 3

WY Sheridan SHR 7401 652 5 7844 287 2

- 8

WY Worland WRL 7336 1010 0 7757 467 2

- 13

7

- C

- 11REFERENCES

1. U.S. Department of Energy: Energy Information Administration, Residential Energy

Consumption Survey: 2009 RECS Survey Data, 2013. (Last accessed March, 2013.)

< http://www.eia.gov/consumption/residential/data/2009/ >

2. U.S. Department of Energy: Energy Information Administration, Commercial Buildings

Energy Consu mption Survey, 2003. (Last accessed September, 2013.)

< http://www.eia.doe.gov/emeu/cbecs/ >

3. National Oceanic And Atmospheric Administration, Degree Days Archives, 1997

-

Present.

< ftp://ftp.cpc.ncep.noaa.gov/htdocs/products/analysis_monitoring/cdus/degree_days/archi

ves/ >

4. American Society for Heating Refrigeration and Air

- Conditioning Engineers (ASHRAE),

ASHRAE Handbook: Fundamentals . 1993.

7

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- 12