| A newly emerging way to promote sustainability in the built environment is through the incorporation of wind power within buildings, resulting in minimum transmission losses (distributed generation). However, the effectiveness of the proposed solutions are seriously dependent on early integration with the architectural design process.;Wind power is considered a potential renewable energy source in tall buildings due to the possibility of accessing greater wind velocities at higher altitudes. In addition, airflow patterns around buildings are considerably influenced by a buildings' geometric characteristics. Hypothetically, proper modification of building form can turn this unstructured phenomenon in to a massive concentrator effect, capable of boosting power production in tall buildings with an integrated wind turbine (BIWT).;These aerodynamic modifications are typically evaluated via CFD simulation or wind tunnel testing. However, these methods are too expensive and time-consuming to analyze all annual fluctuations of local wind regimes (velocity, direction, and density) and is therefore inappropriate for use in early design stages when architectural concepts quickly evolve. As a result, existing wind analysis techniques are often used under simplified conditions (steady state analysis, single velocity, and angle). This approach simply disregards the wide variety of other criteria influencing "BIWT annual energy output" including fluctuations of local wind regimes, and surrounding urban terrain roughness.;This research seeks to address the issues indicated above, and proposes a performance based parametric design tool, primarily for the early design stages when architectural concepts evolve rapidly. The automated output delivers real time assessment of BIWT potential energy enhancement for each alternation of the concept, as well as analysis of multiple BIWT typologies simultaneously.;The parametric tool employs hourly weather data, different terrain condition mathematical models, and two databases of CFD measurements to approximate annual energy enhancement as result of BIWT geometrical transformations.;The tool develops a decision mechanism to find the best BIWT typology and optimum angle, based on the long-term local climatic trends and adjacent terrain context. The outcome of this dissertation is an automated parametric tool which addresses all above indicated difficulties associated with incorporation of current wind analysis method and the architectural design process of BIWT. |
