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During the earliest phase of architectural design process, practitionersafter analyzing the client's design program, legal requirements, topographicconstraints, and preferences synthesize these requirements into architecturalfloor plan drawings. Design decisions taken in this phase may significantlycontribute to the building performance. On account of this reason, it isimportant to estimate and compare alternative solutions, when it is stillmanageable to change the building design.  The authors have been developing a prototype tool to assist architects duringthis initial design phase. It is made up of two algorithms. The first algorithmgenerates alternative floor plans according to the architect's preferences andrequirements, and the client's design program. It consists in one evolutionarystrategy approach enhanced with local search technique to allocate rooms onseveral levels in the two-dimensional space. The second algorithm evaluates,ranks, and optimizes those floor plans according to thermal performancecriteria. The prototype tool is coupled with dynamic simulation program, whichestimates the thermal behavior of each solution. A sequential variableoptimization is used to change several geometric values of differentarchitectural elements in the floor plans to explore the improvement potential.  In the present communication, the two algorithms are used in an iterativeprocess to generate and optimize the thermal performance of alternative floorplans. In the building simulation specifications of EnergyPlus program, theairflow network model has been used in order to adequately model the airinfiltration and the airflows through indoor spaces. A case study of asingle-family house with three rooms in a single level is presented.

Contributions of natural ventilation on thermal performance of alternative floor plan designs