Taking this city as case study, I implemented multiple climatic analysis tools in combination with a sensible assessment of results in order to achieve the best environmental performance of the site.

As first approach, diagrams of climate factors were collected to compare them to west Europe conditions.

Damascus {33°30’42.6″N 36°18’18.7″E}

Köppen-Geiger: cool arid climate (BWk)
Weather last read: 21/12: 11°C
Wind: S at 16 km/h
Humidity: 63%
Area: 105 km²
Population: 2,503,000

Rotterdam {51°54’54.9″N 4°26’46.3″E}

Temperatures: warm temp-full humid-warm summer
Weather now 21/12: 5°C
Wind S at 16 km/h
Humidity: 78%
Area: 324.1 km²
Population: 623,652 (2015)

The lesson was to focus the climate performance on the harsh temperatures between 12 and 7 PM.


The project is located between the new neighborhoods and the old city of Damascus.
In this 14 000m2 empty square the plots are divided manually trying to connect new paths between the two sites. The optimization setup took as variables n-empty plots and two type of tree covering for squares while minimizing floor radiation.

Dividing the squares to smaller plots and placing them to the north of the square was the the most efficient option.


The project materializes in timber elements, which in this case study are minimized to find the optimum UTC index.


In this case, daylight was tested to optimize three facade options from my workplace. First, the facade was parametrized to a pattern of balconies and windows, an the for simulation purposes, each block was represented by a set of two consecutive floors.

GOAL: DF value of 1 in the 50% of the rooms.
INPUT: parapets heights, balconies disposition and percentage of windows.


The new proposal for the square is completely exposed to the sun of Damascus, which makes essential the implementation of cooling strategies from the wind. For that, the optimal courtyard conditions was ensured using Infrared software, while the openings design was approached with Butterfly for a finer detail.

Focusing the design on the worst climate conditions of July and August, 10 m/s south direction was the value for wind simulations.
Option 3 is the one with the best key performance indicators of comfort speeds.

Syrian wind tower implementation:

Tower option makes excessive turbulences, while the flaps lower profile of openings perform an smooth distribution interior wind cooling.