A simulation-based performance evaluation of new generation dynamic shading devices with multi-objective optimization

被引:10
|
作者
Kirimtat, Ayca [1 ,2 ]
Manioglu, Gulten [3 ]
机构
[1] Istanbul Tech Univ, Grad Sch, Dept Architecture, ITU Ayazaga Campus, TR-34469 Maslak, Istanbul, Turkiye
[2] Univ Hradec Kralove, Fac Informat & Management, Ctr Basic & Appl Res, Rokitanskeho 62, Hradec Kralove 50003, Czech Republic
[3] Istanbul Tech Univ, Fac Architecture, TR-34437 Taksim, Istanbul, Turkiye
来源
关键词
Dynamic shading devices; Cooling energy consumption; Thermal comfort; Multi-objective optimization; THERMAL PERFORMANCE; DAYLIGHTING SYSTEM; ENERGY-CONSUMPTION; VISUAL COMFORT; CLIMATE; DESIGN; ENVIRONMENT; SCREEN; IMPACT;
D O I
10.1016/j.jobe.2024.109322
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Shading devices are the integrated components of building envelopes, which are designed to protect interiors from the excessive amount of direct and indirect solar radiation. Blocking the sunlight, these devices reduce the operational cost of cooling systems, which implies an inverse proportionality between the cooling energy consumption and desired thermal comfort. Therefore, in this study, a unique design for dynamic shading devices of an office building, located in the hot and humid climatic region, is proposed and presented from the early stages of the architectural design process. Above all, an innovative parametric model is created using the Grasshopper algorithmic modeling environment with the Honeybee and Ladybug plug-ins to overcome all difficulties of the manual design process. By employing the optimization plug-in of the Grasshopper software named Octopus, a performance evaluation based multi-objective optimization (MOO) method is introduced to find different cell dimensions of the devices for various orientations, south, east and west, of the office building. This research also investigates the potential of the proposed shading devices based on two major performance aspects, reducing the cooling load while increasing the thermal comfort of the office building, located at Bayrakli, Izmir, Turkey, latitude: 38 degrees 27 ' 44.00 '' N and longitude: 27 degrees 10 ' 0.00 '' E. The lowest cooling energy consumption is estimated as 8.35 kWh for 22nd of July 12:00 a.m. for the west orientation with the dimension of 100 x 100 cm, among other cell dimensions, which are 50 x 200 cm and 200 x 50 cm. The novelty lies behind the optimization of the conflicting performance features and the design of the new generation dynamic shading devices which would shed light on new shading device era.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization
    Pellegrini, Riccardo
    Serani, Andrea
    Leotardi, Cecilia
    Lemma, Umberto
    Campana, Emilio F.
    Diez, Matteo
    APPLIED SOFT COMPUTING, 2017, 58 : 714 - 731
  • [32] Simulation-based multi-objective optimization for roll shifting strategy in hot strip mill
    Li Wei-gang
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2013, 20 (05) : 1226 - 1234
  • [33] Simulation-based multi-objective optimization towards proactive evacuation planning at metro stations
    Guo, Kai
    Zhang, Limao
    Wu, Maozhi
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 120
  • [34] System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization
    Uriarte, A. Goienetxea
    Zuniga, E. Ruiz
    Moris, M. Urenda
    Ng, A. H. C.
    MINI EURO CONFERENCE ON IMPROVING HEALTHCARE: NEW CHALLENGES, NEW APPROACHES, 2015, 616
  • [35] A simulation-based multi-objective optimization study of the fleet sizing problem in the offshore industry
    Eskandari, Hamidreza
    Mahmoodi, Ehsan
    MARITIME ECONOMICS & LOGISTICS, 2016, 18 (04) : 436 - 457
  • [36] Availability Analysis of Reconfigurable Manufacturing System Using Simulation-Based Multi-Objective Optimization
    Diaz, Carlos Alberto Barrera
    Navarro, Andres Del Riego
    Perez, Alvaro Rico
    Nourmohammadi, Amir
    SPS 2022, 2022, 21 : 369 - 379
  • [37] Simulation-based Optimization Using Genetic Algorithms for Multi-objective Flexible JS']JSSP
    Nicoara, Elena Simona
    Filip, Florin Gheorghe
    Paraschiv, Nicolae
    STUDIES IN INFORMATICS AND CONTROL, 2011, 20 (04): : 333 - 344
  • [38] Simulation-based multi-objective optimization combined with a DHM tool for occupant packaging design
    Luque, Estela Perez
    Pascual, Aitor Iriondo
    Hogberg, Dan
    Lamb, Maurice
    Brolin, Erik
    INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2025, 105
  • [39] Simulation-based multi-objective optimization for roll shifting strategy in hot strip mill
    Wei-gang Li
    Journal of Central South University, 2013, 20 : 1226 - 1234
  • [40] Kinetic facades as a solution for educational buildings: A multi-objective optimization simulation-based study
    Bahri, Seyedehsara Yazdi
    Forment, Marc Alier
    Riera, Alberto Sanchez
    Heiranipour, Milad
    Hosseini, Seyedeh Nazli
    ENERGY REPORTS, 2025, 13 : 3915 - 3928