Intelligent design of rural residential floor plans integrated with features of room orientation and shape and Strategy of energy saving

Abstract

A generative design (i.e., Intelligent Design) method for the floor plans in the rural residential buildings was proposed, integrated with the features of the functional room orientations and shapes, and the energy saving strategies. Firstly, the spatial orientation characteristics of different functional rooms in the local rural residential buildings were explored, and integrated into our proposed algorithm model to assign the functional rooms to the selected spatial layout pattern. Secondly, to enhance the total energy saving efficiency for the generated design scheme, the functional rooms with large energy requirements were assigned to the spatial locations with low AECSMHs, to generate the functional room layout. Thirdly, according to the statistical data of the length-to-width ratios for various functional rooms, the shapes of all the functional rooms in the generated floor plan were constrained. Finally, the generated design scheme was energy-efficiently optimized again, via selecting the minimum sum of lengths and widths of the external walls in the AL + AC rooms. The research result was applied to the floor plan designs of a study case under Hangzhou’s climate, and found that the total energy efficiency of the generated schemes was improved by 5.1 % and 7.9 % for the second and third floors, respectively.