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Degree-Days: Growing, Heating, and Cooling

open access: yesEDIS, 2018
How much and when it rains, freezes, and thaws can make the difference between boom and bust for a year's crop. However, temperature can predict more than boom or bust. Atmospheric temperature can predict the growth rates of many plants. For this reason,
Clyde W. Fraisse   +1 more
doaj   +7 more sources

Degree Days: Heating, Cooling, and Growing

open access: yesEDIS, 2007
ABE-381, a 7-page illustrated fact sheet by Clyde W. Fraisse, John Bellow, and Charles Brown, discusses how growers can use the AgClimate Web site to find out how to predict Growing Degree Day accumulation for the current season, and to review GDD for ...
Clyde W. Fraisse   +2 more
doaj   +8 more sources

Heating degree day spatial datasets for Canada

open access: yesData in Brief, 2023
Heating degree days (HDD) represent a concise measure of heating energy requirements used to inform decision making about the impact of climate change on heating energy demand.
Heather MacDonald   +5 more
doaj   +3 more sources

Analysis of variable-base heating and cooling degree-days for Turkey [PDF]

open access: yesApplied Energy, 2001
The degree-day method is one of the well-known and the simplest methods used in the Heating, Ventilating and Air-Conditioning industry to estimate heating and cooling energy requirements. In this study, the heating and cooling degree-days for Turkey are determined by using long-term recent measured data. Five different base temperatures ranging from 14
Hüsamettin Bulut, Orhan Buyukalaca
exaly   +2 more sources

Heating and Cooling Degree-Days Maps of Pakistan [PDF]

open access: yesEnergies, 2018
The building sector consumes about 40% of the world’s primary energy. Seasonal climatic conditions have a significant effect on the energy consumption in buildings. One of the famous methods used for decoding this seasonal variation in buildings energy consumption is the “Degree Days Method”.
Hafiz Muhammad Ali   +2 more
exaly   +2 more sources

Population-weighted degree-days: The global shift between heating and cooling

open access: yesEnergy and Buildings, 2022
Anthropogenic greenhouse gas emissions are driving global increases in temperature. This rise will likely lead to an increase in demand for cooling in the coming years. However, increasing temperatures are not the main explanatory factor for why the world is moving towards more cooling.
Tadeusz Oreszczyn, Ian Hamilton
exaly   +4 more sources

Global historical population exposure to heating and cooling degree days

open access: yesScientific Reports
The interplay between population growth and climate warming is reshaping human exposure to temperature extremes worldwide, yet how this composite effect varies across regions and income groups remains insufficiently quantified.
Yue Gong, Hui Tao, Zehua Fang, Yabin Wei
doaj   +3 more sources

The Influence of Heating Degree Days on Fuelwood Consumption in Households in Selected Countries of Central and Southeastern Europe

open access: yesDrvna Industrija, 2021
Serbia is one of the few European countries that does not keep official statistics and does not have data on heating degree days. A heating degree day (HDD) represents a measure to quantify the energy needs for heating a building.
Slavica Petrović
doaj   +1 more source

Heating and Cooling Degree-Days Climate Change Projections for Portugal

open access: yesAtmosphere, 2021
Climate change is expected to influence cooling and heating energy demand of residential buildings and affect overall thermal comfort. Towards this end, the heating (HDD) and cooling (CDD) degree-days along with HDD + CDD were computed from an ensemble ...
Cristina Andrade   +2 more
doaj   +1 more source

Modeling the impacts of climate change on monthly commercial sector electricity consumption: A case of Suzhou, China

open access: yesEnergy Science & Engineering, 2023
Multiple regression equations are the most common method for modeling the influences of climate variables on electricity demand. However, the multiple regression equations based on time series data often suffer from the problem of serial correlation or ...
Zhenyu Su, Zhifan Zhou
doaj   +1 more source

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