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

Javanroodi, Kavan; Nik, Vahid M.; Mahdavinejad, Mohammadjavad

doi:10.1016/j.scs.2019.101597

Cited by 50 publications

(12 citation statements)

References 98 publications

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“…On average we find that every month of full lockdown reduced the demand by 20% on average, or over 1.5% on an annual basis [5]. Therefore, focusing on methods to optimize the energy efficiency and promoting sustainability in the building's component while considering the quality of indoor spaces has been one of the trend topics among researchers [6][7][8][9][10][11][12][13]. In Iran, artificial lighting is reported to contribute up to 25% of electricity consumption in office buildings [14].…”

Section: Introductionmentioning

confidence: 99%

Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran

et al. 2021

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(1) Background: considering multiple, and somehow conflicting, design objectives can potentially make achieving a high-performance design a complex task to perform. For instance, shading devices can dramatically affect the building performance in various ways, such as energy consumption and daylight. This paper introduces a novel procedure for designing shading devices as an integral part of daylightophil architecture for office buildings by considering daylight and energy performance as objectives to be optimal. (2) Methods: to address the topic, a three-step research method was used. Firstly, three different window shades (fixed and dynamic) were modeled, one of which was inspired by traditional Iranian structures, as the main options for evaluation. Secondly, each option was evaluated for energy performance and daylight-related variables in critical days throughout the year in terms of climatic conditions and daylight situations (equinoxes and solstices including 20 March, 21 June, 22 September, and 21 December). Finally, to achieve a reliable result, apart from the results of the comparison of three options, all possible options for fixed and dynamic shades were analyzed through a multi-objective optimization to compare fixed and dynamic options and to find the optimal condition for dynamic options at different times of the day. (3) Results: through different stages of analysis, the findings suggest that, firstly, dynamic shading devices are more efficient than fixed shading devices in terms of energy efficiency, occupants’ visual comfort, and efficient use of daylight (roughly 10%). Moreover, through analyzing dynamic shading devices in different seasons and different times of the year, the optimal form of this shading device was determined. The results indicate that considering proper shading devices can have a significant improvement on achieving high-performance architecture in office buildings. This implies good potential for daylightophil architecture, but would require further studies to be confirmed as a principle for designing office buildings.

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Section: Introductionmentioning

confidence: 99%

Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran

et al. 2021

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“…Then, the outside surface temperature, operative temperature, and total energy demand of the central building in each urban model were evaluated with an hourly time-step. For energy performance simulations (EPS), cooling and heating demand were defined as the sum of the latent and sensible cooling and heating energy of the central twelve-story building through a validated approach in the earlier work of the authors [54]. Each floor consists of a private office zone and a shared space zone.…”

Section: Cfd and Epsmentioning

confidence: 99%

Impacts of Microclimate Conditions on the Energy Performance of Buildings in Urban Areas

Javanroodi

Nik

2019

Buildings

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Urbanization trends have changed the morphology of cities in the past decades. Complex urban areas with wide variations in built density, layout typology, and architectural form have resulted in more complicated microclimate conditions. Microclimate conditions affect the energy performance of buildings and bioclimatic design strategies as well as a high number of engineering applications. However, commercial energy simulation engines that utilize widely-available mesoscale weather data tend to underestimate these impacts. These weather files, which represent typical weather conditions at a location, are mostly based on long-term metrological observations and fail to consider extreme conditions in their calculation. This paper aims to evaluate the impacts of hourly microclimate data in typical and extreme climate conditions on the energy performance of an office building in two different urban areas. Results showed that the urban morphology can reduce the wind speed by 27% and amplify air temperature by more than 14%. Using microclimate data, the calculated outside surface temperature, operating temperature and total energy demand of buildings were notably different to those obtained using typical regional climate model (RCM)–climate data or available weather files (Typical Meteorological Year or TMY), i.e., by 61%, 7%, and 21%, respectively. The difference in the hourly peak demand during extreme weather conditions was around 13%. The impact of urban density and the final height of buildings on the results are discussed at the end of the paper.

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“…In another study, Yang et al analyzed 530 buildings in midsized US cities to determine the impact of a building's surroundings on its energy consumption, and ultimately introduced a data-driven urban energy analysis methodology (DUE-A) (Yang, Gupta, & Jain, 2019). Javanroodi et al introduced a multi-objective optimization framework based on a genetic algorithm called Energy Efficient Form-finder (EEF), and used it to study the form combination of five reference buildings in five different urban areas, based on a new technique called 'Building Modular Cell' (Javanroodi, Nik, & Mahdavinejad, 2019). A summary of the studies conducted in this field and their proposed methods is provided in the following table (Table 1).…”

Section: Introductionmentioning

confidence: 99%

Computational modeling of land surface temperature using remote sensing data to investigate the spatial arrangement of buildings and energy consumption relationship

Faroughi

Karimimoshaver

Aram

et al. 2020

Engineering Applications of Computational Fluid Mechanics

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The effect of urban form on energy consumption has been the subject of various studies around the world. Having examined the effect of buildings on energy consumption, these studies indicate that the physical form of a city has a notable impact on the amount of energy consumed in its spaces. The present study identified the variables that affected energy consumption in residential buildings and analyzed their effects on energy consumption in four neighborhoods in Tehran: Apadana, Bimeh, Ekbatan-phase I, and Ekbatan-phase II. After extracting the variables, their effects are estimated with statistical methods, and the results are compared with the land surface temperature (LST) remote sensing data derived from Landsat 8 satellite images taken in the winter of 2019. The results showed that physical variables, such as the size of buildings, population density, vegetation cover, texture concentration, and surface color, have the greatest impacts on energy usage. For the Apadana neighborhood, the factors with the most potent effect on energy consumption were found to be the size of buildings and the population density. However, for other neighborhoods, in addition to these two factors, a third factor was also recognized to have a significant effect on energy consumption. This third factor for the Bimeh, Ekbatan-I, and Ekbatan-II neighborhoods was the type of buildings, texture concentration, and orientation of buildings, respectively.

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

Cited by 50 publications

References 98 publications

Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran

Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran

Impacts of Microclimate Conditions on the Energy Performance of Buildings in Urban Areas

Computational modeling of land surface temperature using remote sensing data to investigate the spatial arrangement of buildings and energy consumption relationship

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