Journal
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
Volume 48, Issue 9, Pages 11391-11405Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s13369-022-07463-4
Keywords
Climate classification; Cooling degree days (CDD); Heating degree days (HDD); Hot climates; Oman
Categories
Ask authors/readers for more resources
In this study, five models were evaluated for predicting cooling degree days (CDD) and heating degree days (HDD) in Oman, and regression models were developed for these variables. Four climate zones were identified for Oman based on this research.
Local climate classification is mandatory for building energy standards and codes. The degree-days method is one of the most widespread methods used for climate classification. Many degree-days models are available for determining the cooling degree days (CDD) and the heating degree days (HDD). A limited number of studies have been conducted to evaluate the performance of these models in cooling-dominated climates, which is mandatory before a model is adopted for climate classification. In this research, five models, namely the hourly method, ASHRAE method, Erbs method, Schoenau and Kehrig (S-K) method, and hybrid S-K method, were evaluated and analyzed for predicting CDD and HDD. Hourly data from selected meteorological stations located in different regions of Oman were used. The results indicated that the performance of all models was acceptable and within 10% variation from the hourly method, with the hybrid S-K model being the best among all models. This model was then used to estimate the CDD and HDD for 31 weather stations in Oman using the monthly average temperature data. Regression models were then developed for CDD and HDD at different base temperatures, with determination coefficient, R-2, of higher than 99%, maximum error of 4.9, and - 0.217% for CV[RMSE] and NMBE, respectively. Using the GIS ArcMap, the CDD values were used to generate the climate classification for Oman. Subsequently, four climate zones were identified, namely hot-humid climate, hot-dry climate, warm-humid climate, and high-altitude climate. The developed climate classification is useful and can be used for building energy efficiency programs, standards, and codes.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available