Advanced

Multi-objective optimization of fenestration design in residential spaces – The case of MKB Greenhouse, Malmö, Sweden : Abstract and oral presentation

Bournas, Iason LU and Haav, Ludvig (2017) BuildSim-Nordic 2017 Conference
Abstract
This work presented and optimization scheme for daylighting, heating and thermal comfort objectives in a highly insulated apartment, while varying different geometrical aspects of external windows (number, shape, size, position). To satisfy all objectives simultaneously, a large number of design iterations was evaluated by the use of the SPEA2 genetic algorithm as it is implemented on the Octopus explicit components used in the visual programming environment of Grasshopper. The latter was used to connect the validated simulation engines of EnergyPlus, Daysim and Radiance with the generated designs governed by the optimization algorithm. Overall, it was shown that the use of genetic algorithms can accelerate the optimization process in... (More)
This work presented and optimization scheme for daylighting, heating and thermal comfort objectives in a highly insulated apartment, while varying different geometrical aspects of external windows (number, shape, size, position). To satisfy all objectives simultaneously, a large number of design iterations was evaluated by the use of the SPEA2 genetic algorithm as it is implemented on the Octopus explicit components used in the visual programming environment of Grasshopper. The latter was used to connect the validated simulation engines of EnergyPlus, Daysim and Radiance with the generated designs governed by the optimization algorithm. Overall, it was shown that the use of genetic algorithms can accelerate the optimization process in building simulation scenarios, while evaluating a representative part of the solution space (total of solutions). The results indicate that the optimization process can lead to a good set of solutions for designers to work with in the initial design stage. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Building simulation, Daylight, Thermal comfort, Optimization algorithms
conference name
BuildSim-Nordic 2017 Conference
conference location
Lund, Sweden
conference dates
2017-09-21 - 2017-09-22
language
English
LU publication?
yes
id
dcc2c874-756f-4dfa-b123-c0b30d3fdb67
date added to LUP
2019-05-20 12:13:08
date last changed
2019-05-28 09:20:32
@misc{dcc2c874-756f-4dfa-b123-c0b30d3fdb67,
  abstract     = {This work presented and optimization scheme for daylighting, heating and thermal comfort objectives in a highly insulated apartment, while varying different geometrical aspects of external windows (number, shape, size, position). To satisfy all objectives simultaneously, a large number of design iterations was evaluated by the use of the SPEA2 genetic algorithm as it is implemented on the Octopus explicit components used in the visual programming environment of Grasshopper. The latter was used to connect the validated simulation engines of EnergyPlus, Daysim and Radiance with the generated designs governed by the optimization algorithm. Overall, it was shown that the use of genetic algorithms can accelerate the optimization process in building simulation scenarios, while evaluating a representative part of the solution space (total of solutions). The results indicate that the optimization process can lead to a good set of solutions for designers to work with in the initial design stage.},
  author       = {Bournas, Iason and Haav, Ludvig},
  language     = {eng},
  title        = {Multi-objective optimization of fenestration design in residential spaces – The case of MKB Greenhouse, Malmö, Sweden : Abstract and oral presentation},
  year         = {2017},
}