Predictive Simulation-Based Lighting and Shading Systems Control in Buildings

被引:43
|
作者
Mahdavi, Ardeshir [1 ]
机构
[1] Vienna Univ Technol, Dept Bldg Phys & Bldg Ecol, A-1040 Vienna, Austria
基金
奥地利科学基金会;
关键词
simulation; lighting; shading; control; sky luminance mapping; calibration;
D O I
10.1007/s12273-008-8101-4
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper presents a prototypically implemented daylight-responsive lighting and shading systems control in buildings that makes use of real-time sensing and lighting simulation. This system can control the position of window blinds and the status of the luminaires. It operates as follows: (1) at regular time intervals, the system considers a set of candidate control states for the subsequent time step; (2) these alternatives are then virtually enacted via a lighting simulation application that receives input data from a self-updating model of sky (luminance distribution maps obtained via calibrated digital photography), room, and occupancy; (3) the simulation results are compared and ranked according to the preferences (objective function) specified by the occupants and/or facility manager to identify the candidate control state with the most desirable performance.
引用
收藏
页码:25 / 35
页数:11
相关论文
共 50 条
  • [1] Predictive simulation-based lighting and shading systems control in buildings
    Ardeshir Mahdavi
    Building Simulation, 2008, 1 : 25 - 35
  • [2] Adaptive Control for Lighting, Shading and HVAC Systems in Near Zero Energy Buildings
    Bisegna, Fabio
    Burattini, Chiara
    Manganelli, Matteo
    Martirano, Luigi
    Mattoni, Benedetta
    Parise, Luigi
    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2016,
  • [3] Occupants' operation of lighting and shading systems in office buildings
    Department of Building Physics and Building Ecology, Vienna University of Technology, Vienna, Austria
    Journal of Building Performance Simulation, 2008, 1 (01) : 57 - 65
  • [4] A simulation-powered approach to ventilation, lighting and shading systems control
    Schuss, Matthias
    Proeglhoef, Claus
    Orehounig, Kristina
    Mandavi, Ardeshir
    BAUPHYSIK, 2010, 32 (06) : 391 - 398
  • [5] Simulation-Based Evaluation and Optimization of Control Strategies in Buildings
    Kontes, Georgios D.
    Giannakis, Georgios I.
    Sanchez, Victor
    de Agustin-Camacho, Pablo
    Romero-Amorrortu, Ander
    Panagiotidou, Natalia
    Rovas, Dimitrios V.
    Steiger, Simone
    Mutschler, Christopher
    Gruen, Gunnar
    ENERGIES, 2018, 11 (12)
  • [6] Simulation-based performance evaluation of model predictive control for building energy systems
    Huang, Sen
    Lin, Yashen
    Chinde, Venkatesh
    Ma, Xu
    Lian, Jianming
    APPLIED ENERGY, 2021, 281
  • [7] Model predictive control for integrated control of air-conditioning and mechanical ventilation, lighting and shading systems
    Yang, Shiyu
    Wan, Man Pun
    Ng, Bing Feng
    Dubey, Swapnil
    Henze, Gregor P.
    Chen, Wanyu
    Baskaran, Krishnamoorthy
    APPLIED ENERGY, 2021, 297
  • [8] SIMULATION-BASED PREDICTIVE ANALYTICS FOR DYNAMIC QUEUEING SYSTEMS
    Ouyang, Huiyin
    Nelson, Barry L.
    2017 WINTER SIMULATION CONFERENCE (WSC), 2017, : 1716 - 1727
  • [9] Simulation-based design of machine control systems
    van de Mortel-Fronczak, JM
    Vervoort, J
    Rooda, JE
    MODELLING AND SIMULATION 2001, 2001, : 331 - 338
  • [10] Simulation-based control of building systems operation
    Mahdavi, A
    BUILDING AND ENVIRONMENT, 2001, 36 (06) : 789 - 796