An early-stage design optimization for office buildings’ façade providing high-energy performance and daylight

Abstract

The amount of received sunlight and radiant energy could affect the energy consumption in heating, cooling and lighting systems. Utilization of natural daylight in architecture, in addition to fulfilling the inhabitants' mental and physical needs, could greatly reduce fossil fuel consumption. Although higher levels of daylight can be obtained by increasing light transmission, this increased transmission could negatively affect the building's sustainability and thus result in higher energy consumption in turn. So, designers must seek an acceptable balance, in which not only optimal daylight comfort and usage are met but also the best possible thermal performance is achieved. The use of a parametric design model can facilitate the simulation of lighting and annual thermal performance of a building in the early stages of the design or restoration process. In this paper, the daylight and thermal performances of an office building are optimized using a simulated parametric-based design model and the Octopus plug-in which is an optimizing tool based on genetic algorithms developed for Grasshopper. By applying the developed workflow, the enhanced results for (useful daylight illuminance) is up by 20.56% and for energy use intensity by 141 kWh/m 2 /yr.

Multi-objective optimization of building-integrated microalgae photobioreactors for energy and daylighting performance

“…The approximation of the average value of X as the random variable is equal to the sum of the sample size N chosen from the population divided by the sample size. Octopus plugin is getting popular especially in the field of multiobjective optimization of building performance design [40,49,94] and verified by recent research [95,96]. Parameters including WWR and algae density were connected to the Genetic input, while performance metrics, EUI, and UDI were connected to the Fitness input (Fig.…”

User Thermal Comfort in Historic Buildings: Evaluation of the Potential of Thermal Mass, Orientation, Evaporative Cooling and Ventilation

“…Note that the type of glazing has a greater impact on the energy demand in hot countries than the orientation, building shape, and storey level [19]. Shahbazi [20] introduced a new tool to optimise the glazing system by using a parametric study. In cold regions, the WWR may affect the solar gain and the daylight in winter when passive solar heat is required; however, it may lead to overheating in summer [21].…”

Biophilic, photobiological and energy-efficient design framework of adaptive building façades for Northern Canada

“…A list of references discussing advancements and challenges in the field of occupancy detection and control systems as well as data mining and machine learning techniques for detecting and predicting occupants' behaviour: Hong et al, 105 Parsaee et al, 114 Trivedi and Badarla, 158 Heidari Matin and Eydgahi, 159,160 Al-Masrani and Al-Obaidi, 161 Konstantoglou and Tsangrassoulis, 162 Delzendeh et al, 164 Ashouri et al, 164 Miller et al, 165 Fan et al, 166 Hong et al 167 Part 4. Some example studies of multi-objective optimization of fac¸ade's design: Buratti et al, 168 Oral et al, 169 Shahbazi et al, 170 Lartigue et al, 171 Goia et al, 172 Ferrara et al, 173 Zhai et al, 174 Yi. 175…”

“…167 Part 4. Some example studies of multi-objective optimization of façade’s design: Buratti et al., 168 Oral et al., 169 Shahbazi et al., 170 Lartigue et al., 171 Goia et al., 172 Ferrara et al., 173 Zhai et al., 174 Yi. 175…”