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
  • [1] An integrated simulation-based optimization technique for multi-objective dynamic facility layout problem
    Pourhassan, Mohammad Reza
    Raissi, Sadigh
    JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2017, 8 : 49 - 58
  • [2] The Simulation-based Multi-objective Evolutionary Optimization (SIMEON) Framework
    Halim, Ronald Apriliyanto
    Seck, Mamadou Diouf
    THEORY OF MODELING & SIMULATION: DEVS INTEGRATIVE M&S SYMPOSIUM 2011 (TMS-DEVS 2011) - 2011 SPRING SIMULATION, 2011, 43 (01): : 169 - 174
  • [3] THE SIMULATION-BASED MULTI-OBJECTIVE EVOLUTIONARY OPTIMIZATION (SIMEON) FRAMEWORK
    Halim, Ronald Apriliyanto
    Seck, Mamadou D.
    PROCEEDINGS OF THE 2011 WINTER SIMULATION CONFERENCE (WSC), 2011, : 2834 - 2846
  • [4] A Comparison of Multi-objective Evolutionary Algorithms for Simulation-Based Optimization
    Tan, Wen Jun
    Turner, Stephen John
    Aydt, Heiko
    ASIASIM 2012, PT III, 2012, 325 : 60 - 72
  • [5] New simulation-based frameworks for multi-objective reliability-based design optimization of structures
    Hamzehkolaei, Naser Safaeian
    Miri, Mahmoud
    Rashki, Mohsen
    APPLIED MATHEMATICAL MODELLING, 2018, 62 : 1 - 20
  • [6] Simulation-based multi-objective muffler optimization using efficient global optimization
    Puthuparampil, Jobin
    Sullivan, Pierre
    NOISE CONTROL ENGINEERING JOURNAL, 2020, 68 (06) : 441 - 458
  • [7] Simulation-based multi-objective system optimization of train traction systems
    Dullinger, Christian
    Struckl, Walter
    Kozek, Martin
    SIMULATION MODELLING PRACTICE AND THEORY, 2017, 72 : 104 - 117
  • [8] A simulation-based optimization approach for multi-objective runway operations scheduling
    Soykan, Bulent
    Rabadi, Ghaith
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2022, 98 (11): : 991 - 1012
  • [9] Towards Optimal Algorithmic Parameters for Simulation-Based Multi-Objective Optimization
    Andersson, Martin
    Bandaru, Sunith
    Ng, Amos H. C.
    2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2016, : 5162 - 5169
  • [10] Multi-Objective Optimization For Shading Devices in Buildings By Using Evolutionary Algorithms
    Kirimtat, Ayca
    Koyunbaba, Basak Kundakci
    Chatzikonstantinou, Ioannis
    Sariyildiz, Sevil
    Suganthan, Ponnuthurai Nagaratnam
    2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2016, : 3917 - 3924