# degree day

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## Synonyms for degree day

### a unit used in estimating fuel requirements for heating a building

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They then received enough accumulated degree-days (142 DD) to convert to adults in mid-June when average temperature was 24[degrees]C.
(1997) used records from nine stations with topography-adjusted polynomial regression to produce weekly degree-day fields.
Equations 8 through 13 were tested with the calculation of heating and cooling degree-day bases of 0[degrees]C, 5[degrees]C, 10[degrees]C, 15[degrees]C, 20[degrees]C, and 25[degrees]C (32[degrees]F, 41[degrees]F, 50[degrees]F, 59[degrees]F, 68[degrees]F, and 77[degrees]F) for all 12 months, for over 1000 stations randomly selected from the stations listed in the "Climatic Design Conditions" tables in the 2009 ASHRAE Handbook--Fundamentals (ASHRAE 2009).
Degree-Days, Cooling (CDD): A measure of how warm a location is over a period of time relative to a base temperature, most commonly specified as 65 degrees Fahrenheit.
* The calculation of heating and cooling degree-days base 50[degrees]F (10[degrees]C) and 65[degrees]F (18.3[degrees]C), in support of various standards including ASHRAE Std.
Understanding degree-days and using them in pest management decision making.
Using the daily accumulation method, each day from April 1 to April 15 would have a degree-day total of 0, while each day from April 16 to April 30 would have a degree-day total of 4, for an April total of 60 degree days.
The sampling commenced at 5 day intervals from hatching after 349th degree-day (DD=water temperature, degC, x age, days post hatch) and repeated at 395, 440, 484, 529, 574 and 618 degree-days.
Table 1.9 and Table 1.10 have been modified to include annual degree-day data beginning in 1949 and monthly degree-day data beginning in 1973.
Specific basin characteristics include runoff coefficients, degree-day factors, and historical recession coefficients and the zonal mean hypsometric elevation was determined for each zone from this curve.
A second verification analysis was using the sliding annual variable based degree-day (Fels, 1986), which evaluates the variations of the Normalized Annual Consumption (NAC) in a monthly moving window.
Table 1 Energy Use Linear Change-Point Regression Models and Statistical Parameters Before After After IECC IECC IECC 2006 2000/2001 2000/2001 a 14.0456 10.8119 10.3621 b 0.9835 0.9717 0.5612 Tcp 62.4644 66.2052 66.8500 [R.sup.2] 0.9667 0.9703 0.9839 Adj[R.sup.2] 0.9633 0.9673 0.9823 RMSE 1.7633 1.4224 0.5602 CV-RMSE 7.7% 8.2% 4.0% Table 2 Variable Based Degree-Day Analysis for the Group of Residential Houses Built Before/ After the Implementation of the Internationa Energy Conservations Codes.
Four subtasks are included: 1) A building Markov deterioration model is established based on building condition assessment through which the practical building service lifetime is estimated; 2) The ambient temperature variation is simulated using Markov Chain by examining the transition of the degree day level; 3) The annual energy consumption distribution for each possible combination of building condition and degree-day level is projected through neural network technique based on a measured dataset; 4) The transition between the possible energy consumption state (i.e.
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