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Heating degree days and cooling degree days for thousands of locations worldwide. Download free data in a simple spreadsheet format.
- Pro Website
With Degree Days.net Pro you can download as much of the...
- An Introduction
Heating degree days in 2017: 3,320 (I'll explain what this...
- How to Calculate Energy Savings
Note that the units of the calculated energy usage E will be...
- Desktop App
The desktop app fetches data from the Degree Days.net API: a...
- Base Temperature
Degree-Day Base Temperature – Choosing the Best Values for...
- API
Whilst most weather APIs require you to fetch data one day...
- Regression Tool
Regression equations With day normalization (weighted or...
- Regression Analysis
Regression equation for heating (no cooling) with no day...
- Pro Website
In this study, the degree-days (heating and cooling) for the period 1981–2100 were computed (as described below) based on daily values of minimum and maximum temperature. Note that the RCP4.5 and the RCP8.5 data refer to the years 2006–2100, while historical data for the years 1981–2005 have been added to both scenarios.
Heating Degree Days (HDD) index: the severity of the cold in a specific time period taking into consideration outdoor temperature and average room temperature (in other words the need for heating). The calculation of HDD
1 Απρ 2018 · consumption for heating and cooling buildings are considered: heating degree-days (HDD) and cooling degree-days (CDD). The evolution of these indicators has been analysed based on 11 high...
30 Σεπ 2019 · Driven by the requirements of energy impact modellers, policymakers and building design experts; a new historical high‐spatial resolution, global gridded dataset of degree‐days constructed...
21 Οκτ 2019 · Cooling and heating degree-days (CDD/HDD) are important metrics used in energy studies as a proxy for determining demand and consumption patterns of residential/commercial buildings and work spaces.
The cooling and heating degree days methodology is regarded as a reliable tool for appropriately accounting for the effect of weather on energy demand. Degree days methodologies are commonly used to calculate seasonally adjusted energy consumption in a variety of discrete geographies. These include, among others, Dombayci (2009) for