26/08/2026
Day 48: Design Conditions 🧐
Ultimately, there is no design condition that will represent the actual reality, because it’s impossible to get all the parameters right where they will be in real life.
When it comes to equipment sizing, we don’t need to busy ourselves with all the possible design scenarios. Instead, designers have long been implementing the “design condition” philosophy. 🥸
What is the “design condition”? 🤔
A set of conditions at which the cooling equipment will have to deliver the highest cooling effect. It yields the maximum heat load that needs to be carried out of the conditioned space.
In other words, the environment must be working against us with its full power; the outdoor air temperature must be at an absolute peak, and the sun is at its hottest. 🥵
To predict annual temperature peaks, we look at our godfathers, ASHRAE, for their weather data predictions.
For example, take Dammam, KSA. ASHRAE’s 2025 weather data give us the following values:
In 20 years, the maximum expected annual temperatures would be:
At the driest condition (DB/WB): 50.3 / 22.9 °C (Max DB temperature, highest sensible load)
At the most humid condition (DB/WB): 40.7 / 35.5 °C (Max WB temperature, highest latent load)
The heat load absorbed due to sunlight radiation on each external element (wall, window or door) depends mainly on six things:
- Orientation of the element with respect to the North direction 🧭
- Vertical orientation of that element (usually vertical or horizontal)
- Site location with respect to the equator (sun angle) ☀️
- Earth’s location and angle with respect to the sun (depends on what day/month it is)
- The average clarity of the surrounding air
- The average reflectiveness of the surroundings and that of the external surface (bright colors reflect light, absorbing less heat) 😎
Thankfully, multiple software programs can calculate all these parameters instantly based on the coordinates of the site and the orientation of each element. One such program is Hourly Analysis Program, famously known as HAP. 📐
HAP can calculate precisely which month and at which hour of the day the sun will be exerting the highest heat load on each conditioned space.
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