Type
Conference PaperAuthors
Hosny, OssamaElhakeem, Ahmed
KAUST Grant Number
KUK-C1-014-12Date
2013Permanent link to this record
http://hdl.handle.net/10754/597940
Metadata
Show full item recordAbstract
This paper structures a generic framework to support optimum design for multi-buildings in desert environment. The framework is targeting an environmental friendly design with minimum lifecycle cost, using Genetic Algorithms (Gas). GAs function through a set of success measures which evaluates the design, formulates a proper objective, and reflects possible tangible/intangible constraints. The framework optimizes the design and categorizes it under a certain environmental category at minimum Life Cycle Cost (LCC). It consists of three main modules: (1) a custom Building InformationModel (BIM) for desert buildings with a compatibility checker as a central interactive database; (2) a system evaluator module to evaluate the proposed success measures for the design; and (3) a GAs optimization module to ensure optimum design. The framework functions through three levels: the building components, integrated building, and multi-building levels. At the component level the design team should be able to select components in a designed sequence to ensure compatibility among various components, while at the building level; the team can relatively locate and orient each individual building. Finally, at the multi-building (compound) level the whole design can be evaluated using success measures of natural light, site capacity, shading impact on natural lighting, thermal change, visual access and energy saving. The framework through genetic algorithms optimizes the design by determining proper types of building components and relative buildings locations and orientations which ensure categorizing the design under a specific category or meet certain preferences at minimum lifecycle cost.Citation
Hosny O, Elhakeem A (2013) Design Buildings Optimally: A Lifecycle Assessment Approach. Proceedings of the New Developments in Structural Engineering and Construction. Available: http://dx.doi.org/10.3850/978-981-07-5354-2_CPM-31-474.Sponsors
This publication is based on the work supported by Award No. KUK-C1-014-12, made by King Abdullah University of Science and Technology (KAUST), Saudi Arabia.Publisher
Research Publishing Servicesae974a485f413a2113503eed53cd6c53
10.3850/978-981-07-5354-2_CPM-31-474