A novel design-based optimization framework for enhancing the energy efficiency of high-rise office buildings in urban areas

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Standard

A novel design-based optimization framework for enhancing the energy efficiency of high-rise office buildings in urban areas. / Javanroodi, Kavan; Nik, Vahid; Mahdavinejad, Mohammadjavad.

I: Sustainable Cities and Society, Vol. 49, 101597, 08.2019.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Harvard

APA

CBE

MLA

Vancouver

Author

RIS

TY - JOUR

T1 - A novel design-based optimization framework for enhancing the energy efficiency of high-rise office buildings in urban areas

AU - Javanroodi, Kavan

AU - Nik, Vahid

AU - Mahdavinejad, Mohammadjavad

PY - 2019/8

Y1 - 2019/8

N2 - Designing high-rise buildings is a complex and challenging task involving several parameters and variables. Recently, there have been major attempts to design the overall form of these buildings based on optimization approaches. This paper introduces a multi-objective optimization framework based on Genetic Algorithm, namely Energy Efficient Form-finder (EEF), consisting of four main steps of Form-Generation, Form-Simulation, Form-Optimization, and Form-Solutions. The EEF with a comprehensive design-based approach is evaluated through five functions considering objectives of minimizing cooling and heating demand and thermal discomfort time while maintaining operative temperature on the defined thermal comfort zone. This work studies the form combination of five reference buildings based on a new technique called “Building Modular Cell” in five different urban areas, resulting in twenty-five distinct design problems. According to the results, there is a great potential to adopt EEF in newly-built projects with a rectangular layout; while it can reduce the annual energy demand and thermal discomfort time of the optimal form combinations around 34% and 12% respectively. Finally, a series of qualitative and quantitative design-aid recommendations are presented based on 1998 best design solutions, which can be used as form-finding rules of thumb by architects and urban designers at the early design stages.

AB - Designing high-rise buildings is a complex and challenging task involving several parameters and variables. Recently, there have been major attempts to design the overall form of these buildings based on optimization approaches. This paper introduces a multi-objective optimization framework based on Genetic Algorithm, namely Energy Efficient Form-finder (EEF), consisting of four main steps of Form-Generation, Form-Simulation, Form-Optimization, and Form-Solutions. The EEF with a comprehensive design-based approach is evaluated through five functions considering objectives of minimizing cooling and heating demand and thermal discomfort time while maintaining operative temperature on the defined thermal comfort zone. This work studies the form combination of five reference buildings based on a new technique called “Building Modular Cell” in five different urban areas, resulting in twenty-five distinct design problems. According to the results, there is a great potential to adopt EEF in newly-built projects with a rectangular layout; while it can reduce the annual energy demand and thermal discomfort time of the optimal form combinations around 34% and 12% respectively. Finally, a series of qualitative and quantitative design-aid recommendations are presented based on 1998 best design solutions, which can be used as form-finding rules of thumb by architects and urban designers at the early design stages.

KW - design-based framework

KW - multi-objective optimization

KW - early design stage

KW - energy demand

KW - thermal discomfort time

KW - urban microclimate

U2 - 10.1016/j.scs.2019.101597

DO - 10.1016/j.scs.2019.101597

M3 - Article

VL - 49

JO - Sustainable Cities and Society

JF - Sustainable Cities and Society

SN - 2210-6707

M1 - 101597

ER -