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

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Bibtex

@article{bb5124cd463e4996b54375bd421e1ee7,
title = "A novel design-based optimization framework for enhancing the energy efficiency of high-rise office buildings in urban areas",
abstract = "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.",
keywords = "design-based framework, multi-objective optimization, early design stage, energy demand, thermal discomfort time, urban microclimate",
author = "Kavan Javanroodi and Vahid Nik and Mohammadjavad Mahdavinejad",
year = "2019",
month = "8",
doi = "10.1016/j.scs.2019.101597",
language = "English",
volume = "49",
journal = "Sustainable Cities and Society",
issn = "2210-6707",
publisher = "Elsevier",

}