A Parametric Optimization for Decision Making of Building Envelope Design: A Case Study of High-Rise Residential Building in Jaipur (India)

Abstract

Parametric optimization approach provides logical support for decision-making for the adaption of active, passive design in net zero/energy-efficient building design. In this paper, parametric optimization is applied to high-rise residential building, situated in the composite climate (köppen climate: Cwg) region of India for decision-making of wall and roof design configuration. Total six wall construction typologies (Redbrick, AAC block, FlyAsh brick, Cast Concrete brick, Resource Efficient Hollow brick, Exposed Red brick + AAC block), and 5 roof construction typologies (Cement Screed + XPS Insulation + Mother Slab, Mother Slab + Bitumen + Tiles, Mud Phuska + Brick Tile, Mud Phuska + PCC, Foam Concrete + PCC) is explored through eQUEST version 3.65 and 30 search space design scenarios identified in which one scenario is considered as a base case condition. The aim of this paper is to identify the wall and roof design configuration that reduce the building cooling demand, hourly peak cooling demand, total operational energy demand, and energy performance index (EPI). Especially, it focuses to identify the amount of heat passed through the different wall and roof configurations. The methodology of this paper is categorized into four parts: base case simulation, parametric framework, decision-making parameters, and optimal result. It reveals that the optimal set of solutions reduces daily cooling demand, monthly cooling demand, and annual operational demand by 21.5, 8.96, and 3.44% from the base case.