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Bastos, J, Batterman, S A and Freire, F (2016) Significance of mobility in the life-cycle assessment of buildings. Building Research & Information, 44(04), 376-93.

Giesekam, J, Barrett, J R and Taylor, P (2016) Construction sector views on low carbon building materials. Building Research & Information, 44(04), 423-44.

Gleeson, C P (2016) Residential heat pump installations: The role of vocational education and training. Building Research & Information, 44(04), 394-406.

Huchuk, B, Gunay, H B, O'Brien, W and Cruickshank, C A (2016) Model-based predictive control of office window shades. Building Research & Information, 44(04), 445-55.

  • Type: Journal Article
  • Keywords: office buildings; shades; model-based predictive control; low-order control model; windows; automated window shades; ensemble kalman filter; system; parameter-estimation; performance; demand; construction & building technology; thermal-model; building
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2016.1101949
  • Abstract:
    In the automation of interior window shading devices, a control system that relies on a prediction of environmental conditions and a building's thermal response can provide savings to space-conditioning loads beyond what can be achieved using a reactive approach. The development of these control strategies can be difficult because of the uniqueness of each building. A simplified model-based predictive control (MPC) method for window shades is proposed. To this end, a control-oriented model representing the heat transfer problem in a perimeter office space was developed. The parameters of the model were estimated using the ensemble Kalman filter (EnKF). The energy-savings potential of the EnKF-based MPC approach for window shades was investigated using EnergyPlus simulations. This was accomplished by implementing the control-oriented model into the energy management system application of EnergyPlus. Simulations were conducted to assess the energy saving potential of using the EnKF-based MPC for roller blinds in a south-facing perimeter office space in Ottawa, Canada. The simulation-based results indicate the potential for about 35% reduction in electricity usage for space conditioning over manually operated interior roller blinds.;  In the automation of interior window shading devices, a control system that relies on a prediction of environmental conditions and a building's thermal response can provide savings to space-conditioning loads beyond what can be achieved using a reactive approach. The development of these control strategies can be difficult because of the uniqueness of each building. A simplified model-based predictive control (MPC) method for window shades is proposed. To this end, a control-oriented model representing the heat transfer problem in a perimeter office space was developed. The parameters of the model were estimated using the ensemble Kalman filter (EnKF). The energy-savings potential of the EnKF-based MPC approach for window shades was investigated using EnergyPlus simulations. This was accomplished by implementing the control-oriented model into the energy management system application of EnergyPlus. Simulations were conducted to assess the energy saving potential of using the EnKF-based MPC for roller blinds in a south-facing perimeter office space in Ottawa, Canada. The simulation-based results indicate the potential for about 35% reduction in electricity usage for space conditioning over manually operated interior roller blinds.;In the automation of interior window shading devices, a control system that relies on a prediction of environmental conditions and a building's thermal response can provide savings to space-conditioning loads beyond what can be achieved using a reactive approach. The development of these control strategies can be difficult because of the uniqueness of each building. A simplified model-based predictive control (MPC) method for window shades is proposed. To this end, a control-oriented model representing the heat transfer problem in a perimeter office space was developed. The parameters of the model were estimated using the ensemble Kalman filter (EnKF). The energy-savings potential of the EnKF-based MPC approach for window shades was investigated using EnergyPlus simulations. This was accomplished by implementing the control-oriented model into the energy management system application of EnergyPlus. Simulations were conducted to assess the energy saving potential of using the EnKF-based MPC for roller blinds in a south-facing perimeter office space in Ottawa, Canada. The simulation-based results indicate the potential for about 35% reduction in electricity usage for space conditioning over manually operated interior roller blinds.;

Keenan, J M (2016) From sustainability to adaptation: Goldman Sachs' corporate real estate strategy. Building Research & Information, 44(04), 407-22.

Marsh, R (2016) LCA profiles for building components: Strategies for the early design process. Building Research & Information, 44(04), 358-75.

Vimpari, J and Junnila, S (2016) Theory of valuing building life-cycle investments. Building Research & Information, 44(04), 345-57.