Results 171 to 180 of about 423 (206)
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Variable Base Heating Degree-Day Data

Transactions of the ASAE, 1984
ABSTRACT HEATING degree-day (HDD) data are often used to estimate annual fuel energy requirements for heating buildings. Commonly, a base temperature of 18.3°C (65°F) is used for calculating HDD. This fixed-base data is generally not appropriate for structures housing livestock since the balance or base temperature of the structure can vary ...
null David P. Shelton   +1 more
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Characteristics of Heating Degree Days and Cooling Degree Days in Beijing During Last 50 Years

2011 Fourth International Joint Conference on Computational Sciences and Optimization, 2011
Degree-day is a quantitative index demonstrated to reflect the demand for energy to heat or cool houses and businesses. In this paper, the 18°C threshold temperature is chosen in Beijing. The homogenized mean daily temperature series during 1960-2009 in Beijing Weather Observatory is collected to calculate HDD and CDD.
Zuofang Zheng, Xiuli Zhang
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Heating Degree Day Data Applied to Residential Heating Energy Consumption

Journal of Applied Meteorology, 1980
Abstract Site-specific total electric energy and heating oil consumption for individual residences show a very high correlation with National Weather Service airport temperature data when transformed to heating degree days. Correlations of regional total residential electrical consumption with airport heating degree days for about 40 000 dwelling units
Robert G. Quayle, Henry F. Diaz
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Weather data and heating-degree days for Saudi Arabia

Energy, 1996
We present monthly-average maximum, minimum and mean temperatures and the medians of extreme temperatures for 24 weather stations in Saudi Arabia. Heating-degree days are also given for these locations.
M.A.I. El-Shaarawi, N. Al-Masri
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Using modified multiple heating-degree-day (HDD) and cooling-degree-day (CDD) indices to estimate building heating and cooling loads

Energy and Buildings, 2020
Abstract There is substantial confusion in the literature concerning the appropriate reference temperatures to use for the computation of heating-degree-day (HDD) and cooling-degree-day (CDD) indices, with the former ranging from 10 to 20 °C and the latter ranging from 10 to 28 °C.
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Topoclimatic Influences On Heating Degree Days In Complex Terrain

2022
The relationships between temperature and topographic variations are examined in a small area of complex terrain located within Watauga County, North Carolina. Temperatures were recorded and heating degree days were computed for an eighty day observation period in late winter and early spring at five sites with different combinations of the physical ...
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Statistical formula to estimate heating or cooling degree-days

Agricultural Meteorology, 1979
Abstract An expression to estimate heating or cooling degree-days accumulated on the average above or below a given temperature and for a given period of time is developed according to a statistical criterion. If the mean daily temperatures for a given month are assurned to be normally distributed the derived formula is only a function of the ...
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Degree : day of heating on Croatian Adriatic

Jadranska meteorologija, 2002
Analizirani su stupanj-dani za područje hrvatskog dijela Jadrana. Takve analize mogu pomoći optimalnom planiranju naselja na tom području.
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Analytic calculation of degree-days for the regulated heating season

Energy and Buildings, 1998
This paper describes a method for the degree-days calculation by means of the proposed cumulative air temperature duration function for the heating season by additionally setting the temperature which determines the limits of the heating season in this function.
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Variability of Population-Weighted Seasonal Heating Degree Days

Journal of Climate and Applied Meteorology, 1983
Abstract Regional and national heating fuel demand is related to both weather and population density. This study analyzes the variability of population-weighted, seasonal heating degree days for the coterminous 48 states. A risk assessment of unusual weather-related beating energy demand, based on a Gaussian distribution model, is provided. Nationally,
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