Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
FAST energy and daylight optimization of an office with fixed and movable shading devices
https://orcid.org/0000-0002-8873-6981
AbstractThis paper describes the Energy and Daylighting optimization of a fixed inclined panel which shades an office room with a south exposed window. The window features also user deployable internal Venetian blinds. Energy analysis takes into account the primary energy required for heating, cooling and artificial lights. Different numerical codes have been employed in order to perform the simulations required by the optimization process: Daysim estimates the artificial light consumption based on daylighting distribution, ESP-r computes heating and cooling loads and modeFRONTIER integrates the simulation codes in an automatic optimization loop. The performance of an algorithm specifically designed to deal with problems involving long simulation times (combining response surfaces and genetic algorithms) has been successfully evaluated; the algorithm has then been applied in the optimization loop. The optimized solutions are analysed in this paper, in particular three solutions have been selected: minimum primary energy consumption, minimum hours of blind deployed and an intermediate solution. The analysis compares the primary energy consumption and daylighting performance on the basis of the Useful Daylight Illuminance indicator and the time history of illuminance on predefined locations.
HighlightsThe geometry of an external shading device for a room with internal blinds is optimized.The FAST algorithm combining response surface methods and genetic optimization is introduced.A comparison of FAST algorithm and NSGA II algorithm has been carried on.Optimized designs pertaining to the Pareto frontier are analysed.Energy can be reduced using fixed shading devices.
FAST energy and daylight optimization of an office with fixed and movable shading devices
https://orcid.org/0000-0002-8873-6981
AbstractThis paper describes the Energy and Daylighting optimization of a fixed inclined panel which shades an office room with a south exposed window. The window features also user deployable internal Venetian blinds. Energy analysis takes into account the primary energy required for heating, cooling and artificial lights. Different numerical codes have been employed in order to perform the simulations required by the optimization process: Daysim estimates the artificial light consumption based on daylighting distribution, ESP-r computes heating and cooling loads and modeFRONTIER integrates the simulation codes in an automatic optimization loop. The performance of an algorithm specifically designed to deal with problems involving long simulation times (combining response surfaces and genetic algorithms) has been successfully evaluated; the algorithm has then been applied in the optimization loop. The optimized solutions are analysed in this paper, in particular three solutions have been selected: minimum primary energy consumption, minimum hours of blind deployed and an intermediate solution. The analysis compares the primary energy consumption and daylighting performance on the basis of the Useful Daylight Illuminance indicator and the time history of illuminance on predefined locations.
HighlightsThe geometry of an external shading device for a room with internal blinds is optimized.The FAST algorithm combining response surface methods and genetic optimization is introduced.A comparison of FAST algorithm and NSGA II algorithm has been carried on.Optimized designs pertaining to the Pareto frontier are analysed.Energy can be reduced using fixed shading devices.
FAST energy and daylight optimization of an office with fixed and movable shading devices
https://orcid.org/0000-0002-8873-6981
AbstractThis paper describes the Energy and Daylighting optimization of a fixed inclined panel which shades an office room with a south exposed window. The window features also user deployable internal Venetian blinds. Energy analysis takes into account the primary energy required for heating, cooling and artificial lights. Different numerical codes have been employed in order to perform the simulations required by the optimization process: Daysim estimates the artificial light consumption based on daylighting distribution, ESP-r computes heating and cooling loads and modeFRONTIER integrates the simulation codes in an automatic optimization loop. The performance of an algorithm specifically designed to deal with problems involving long simulation times (combining response surfaces and genetic algorithms) has been successfully evaluated; the algorithm has then been applied in the optimization loop. The optimized solutions are analysed in this paper, in particular three solutions have been selected: minimum primary energy consumption, minimum hours of blind deployed and an intermediate solution. The analysis compares the primary energy consumption and daylighting performance on the basis of the Useful Daylight Illuminance indicator and the time history of illuminance on predefined locations.
HighlightsThe geometry of an external shading device for a room with internal blinds is optimized.The FAST algorithm combining response surface methods and genetic optimization is introduced.A comparison of FAST algorithm and NSGA II algorithm has been carried on.Optimized designs pertaining to the Pareto frontier are analysed.Energy can be reduced using fixed shading devices.
FAST energy and daylight optimization of an office with fixed and movable shading devices
Manzan, Marco (Autor:in) / Clarich, Alberto (Autor:in)
Building and Environment ; 113 ; 175-184
30.09.2016
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
FAST energy and daylight optimization of an office with fixed and movable shading devices
| Online Contents | 2016
FAST energy and daylight optimization of an office with fixed and movable shading devices
| Online Contents | 2017
FAST energy and daylight optimization of an office with fixed and movable shading devices
| BASE | 2017
FAST energy and daylight optimization of an office with fixed and movable shading devices
| British Library Online Contents | 2017
| Springer Verlag | 2015