Main Article Content


Bioclimatic charts are used by engineers and architects in implementing passive cooling systems and architectural optimization with respect to natural air conditioning. Conventionally, the development of these charts is based on the availability of typical meteorological year which requires a record of meteorological data that are rarely available in sufficient amounts. Bioclimatic charts in Oman were developed earlier by the authors for limited locations based on the available typical meteorological years. Using dry bulb and dew point temperatures only, bioclimatic charts are developed for Adam, Buraimi, Ibra, Muscat, Nizwa, Rustaq, Saiq, Salalah, Suhar and Sur. These charts are better representative of bioclimatic trends since their development is mainly based on the relevant parameters, namely dry bulb temperature and dew point.


Bioclimatic charts Passive cooling TMY.

Article Details

How to Cite
Al-Azri, N., Zurigat, Y., & Al-Rawahi, N. (2017). Development of Bioclimatic Design Tool for Oman Using Dry Bulb and Dew Point Temperatures Open Database. The Journal of Engineering Research [TJER], 14(2), 137–144.


  1. Al-Azri NA (2016), Development of a typical meteorological year based on temperature and humidity for passive cooling applications. Energy for Sustainable Development 33: 61-74.
  2. Al-Azri N, Zurigat Y, Al-Rawahi N (2013), Development of bioclimatic chart for passive building design. International Journal of Sustainable Energy 32(6): 713-723.
  3. Givoni B (1992), Comfort, climate analysis and building design guidelines. Energy and Buildings 1: 11-23.
  4. Givoni B (1994), Passive and Low Energy Cooling of Buildings. Van Nostrand Reinhold, New York.
  5. Hall I, Prairie R, Anderson H, Bose E (1978), Generation of typical meteorological years for 26 SOLMET stations. SAND78-1601. Albuquerque, NM, Sandia National Laboratories.
  6. NSRDB (1992), User’s Manual - National Solar Radiation Data Base (1961-1990). Version 1.0. Golden, CO: National Renewable Energy Laboratory and Asheville, NC: National Climatic Data Center.
  7. Sawaqed NM, Zurigat YH, Al-Hinai HA (2005), Step-by-Step application of sandia method in developing typical meteorological years for different locations. International Journal of Energy Research 29(8): 723–737.