Loading...
HomeMy WebLinkAbout5 - Handout - Plant Investment Fee (PIF) Study. ~ ;;ti~;~ Ave_Indoor_Use_vs_Number_of_Res KEYCODE AvgOfINDOOR Residents Log Indoor Log Res 10003 405.399999 4 2.608 0.602 10012 124.1311542 3 2.094 0.477 10029 149.3419231 3 2.174 0.477 10034 43.69999981 1 1.640 0.000 10035 122.8592002 3 2.089 0.477 10037 147.0007694 2 2.167 0.301 10049 188.2300001 2 2275 0.301 10051 160.3900001 2 2.205 0.301 10057 71.99499991 2 1.857 0.301 10065 162.4846159 2 2.211 0.301 10067 199.1034612 2 2.299 0.301 10076 111.1084617 2 2.046 0.301 10079 64.00166664 1 1.806 0.000 10080 109.5142311 1 2.039 0.000 10081 344.6292304 3 2.537 0.477 10093 215.1311544 2 2.333 0.301 10095 38.56961532 1 1.586 0.000 10096 98.13884669 2 1.992 0.301 10097 100.5992307 2 2.003 0.301 10104 213.341154 4 2.329 0.602 10105 114.2447999 2 2.058 0.301 10107 122.3600005 2 2.088 0.301 10109 260.7653847 3 2.416 0.477 10110 208.88125 2 2.320 0.301 10112 135.0107695 3 2.130 0.477 10113 97.8450001 2 1.991 0.301 10114 335.8184622 5 2.526 0.699 10120 120.23 2 2.080 0.301 10127 125.2011532 2 2.098 0.301 10133 65.48538498 2 1.816 0.301 10135 119.9099999 2.5 2.079 0.398 10140 91.67153823 1 1.962 0.000 10144 264.183461 3 2.422 0.477 10155 126.2892306 2 2.101 0.301 10160 273.4803845 4.5 2.437 0.653 10165 230.3907688 4 2.362 0.602 10169 142.9196153 2 2.155 0.301 10180 163.6469233 3 2.214 0.477 10183 90.74181869 2 1.958 0.301 10196 43.97913047 1 1.643 0.000 10210 224.425294 4 2.351 0.602 10215 125.7707693 2 2.100 0.301 10217 55.97615376 1 1.748 0.000 10222 330.5769234 3 2.519 0.477 10224 154.8755999 2 2.190 0.301 10225 178.4957691 1 2.252 0.000 10231 25.74439998 1 1.411 0.000 10232 121.0823071 3 2.083 0.477 10236 268.8157693 3 2.429 0.477 10237 71.73115395 1 1.856 0.000 ~__ ~C~~.~ l~ /y'e~~li ~ ~ , ~ - ~~,C~Tr~a /~~ t~s Page 1 Ave_Indoor_Use_vs_Number_of_Res SUMMARY OUTPUT (Just Boulder) Regression Statistics Multiple R 0.735168 R Square 0.540471 Adjusted R Square 0.535685 Standard Error 0.151252 Observations 98 ANOVA df SS MS F ignificance F Regression 1 2.583069 2.583069 112.9097 6.77E-18 Residual 96 2.196221 0.022877 Total 97 4.77929 Coetficientstandard Ern t Stat P-value Lower 95%Upper 95%.ower 95.09Ipper 95.0 Intercept 1.853509 0.029298 63.26472 4.55E-80 1.795354 1.911665 1.795354 1.911665 0.602059991 0.794242 0.074746 10.6259 6.77E-18 0.645873 0.942611 0.645873 0.942611 Resulting equation Indoor use gpd daily use (gpd) = 10^1.8535 ' Res^.7942 71.36892 1 1 71.36892 71.36892 2 1.734166 123.7656 71.36892 3 2.393039 170.7886 71.36892 4 3.007332 214.63 71.36892 5 3.590471 256.248 71.36892 6 4.149927 296.1758 71.36892 7 4.690428 334.7507 Page 1 Indoor Use vs Residents for Boulder 450 _ _ 400 ? i 350 - - - - • s a ? a ~ 300 - - a~ ? y=70.856xosi~a ~ ~ R2 = 0.5473 ~ 250 - - - - - - o N ~ • ~ 200 - - - -~a ? ~ ? _ c a 150 - : - - - - ~ • 100 - - - - - - Z 50 - 0 0 1 2 3 4 5 6 7 Number of Residents MODELS OF INDOOR WATER DEMANDS BASED ON DATA LOGGING STUDIES IN SEATTLE, EAST BAY AND TAMPA Water demands based on equation: gpd=9.5 x Res^.687 x SF^.295 Water demands based on equation: gpd=5 x Res^.767 x SF^.307 This assumes standard, non-conservin fixtures and a liances. This assumes hi h effieicn toilets, clothes washers & showers STANDARD. NON-CONSERVING--HOUSES HIGH EFFICIENCY HOUSES Gallons er da Gallons er da House Size SF House Size SF BR Res 1500 2000 2500 3000 4000 BR Res 1500 2000 2500 3000 4000 2 3 175 190 203 214 233 2 3 80 88 94 99 109 3 4 213 232 248 261 284 3 4 110 120 128 136 148 4 5 248 270 289 305 332 4 5 137 149 160 169 185 5 6 281 306 327 345 376 5 6 162 177 190 201 219 6 7 313 340 364 384 418 6 7 187 204 218 231 252 7 8 343 373 399 421 458 7 8 210 229 246 260 284 KGallons er ear KGallons er ear House Size SF House Size SF BR Res 1500 2000 2500 3000 4000 BR Res 1500 2000 2500 3000 4000 2 3 64 69 74 78 85 2 3 29 32 34 36 40 3 4 78 85 90 95 104 3 4 40 44 47 50 54 4 5 91 99 105 111 121 4 5 50 55 58 62 67 5 6 103 112 119 126 137 5 6 59 65 69 73 80 6 7 114 124 133 140 152 6 7 68 74 80 84 92 7 8 125 136 145 154 167 7 8 77 84 90 95 104 AF Per Year AF Per Year House Size SF House Size SF BR Res 1500 2000 2500 3000 4000 BR Res 1500 2000 2500 3000 4000 2 3 0.20 0.21 0.23 0.24 0.26 2 3 0.09 0.10 0.11 0.11 0.12 3 4 0.24 0.26 0.28 0.29 0.32 3 4 0.12 0.13 0.14 0.15 0.17 4 5 0.28 0.30 0.32 0.34 0.37 4 5 0.15 0.17 0.18 0.19 0.21 5 6 0.32 0.34 0.37 0.39 0.42 5 6 0.18 0.20 0.21 0.22 0.25 6 7 0.35 0.38 0.41 0.43 0.47 6 7 0.21 0.23 0.24 0.26 0.28 7 8 0.38 0.42 0.45 0.47 0.51 7 8 0.24 0.26 0.28 0.29 0.32 Enter Water Vatue: $ 12,400 er AF ear ear House Size SF House Size SF BR Res 1500 2000 2500 3000 4000 BR Res 1500 2000 2500 3000 4000 2 3 $ 2,427 $ 2,642 $ 2,822 $ 2,978 $ 3,242 2 3 $ 1 ,1 16 $ 1,219 $ 1,305 $ 1,380 $ 1,508 3 4 $ 2,958 $ 3,220 $ 3,439 $ 3,629 $ 3,950 3 4 $ 1 ,523 $ 1,664 $ 1,781 $ 1,884 $ 2,058 4 5 $ 3,448 $ 3,753 $ 4,009 $ 4,230 $ 4,605 4 5 $ 1 ,899 $ 2,074 $ 2,221 $ 2,349 $ 2,566 5 6 $ 3,908 $ 4,254 $ 4,544 $ 4,795 S 5,219 5 6 $ 2,253 $ 2,461 $ 2,636 $ 2,788 $ 3,045 6 7 $ 4,345 $ 4,729 $ 5,051 $ 5,330 $ 5,802 6 7 $ 2,592 $ 2,831 $ 3,032 $ 3,206 $ 3,502 7 8 $ 4,762 $ 5,184 $ 5,536 $ 5,842 $ 6,360 7 8 $ 2,917 $ 3,186 $ 3,412 $ 3,609 $ 3,942 Data from the EPA Retrofit Study for Seattle, EBMUD and Tampa Copyright by Aquacraft, Inc 3/17/2008 1