Operation safety in the smart grid can be secured by prescribing constraints on the power consumption of the end-users when considered necessary. In this paper a cohesive integration of the grid and building control i...
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ISBN:
(纸本)9781479977369
Operation safety in the smart grid can be secured by prescribing constraints on the power consumption of the end-users when considered necessary. In this paper a cohesive integration of the grid and building control is presented. First, a hierarchical model predictive control in smart grids for optimally calculating grid constraints is considered. Furthermore, in order to eff ciently incorporate grid constraints and still achieve admissible thermal comfort in the building, a modelpredictivecontrol for building climate system with thermally activated building structure (TABS) is suggested. The load-shifting potential of the building with large thermal mass is demonstrated in simulations for various climate conditions on an example of an existing modern off ce building.
In this paper, a hierarchicalcontrol structure based on modelpredictivecontrol (MPC) is proposed for managing energy in residential houses. The control objective is to minimize the building energy cost while fulfil...
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In this paper, a hierarchicalcontrol structure based on modelpredictivecontrol (MPC) is proposed for managing energy in residential houses. The control objective is to minimize the building energy cost while fulfilling various constraints. The optimization problem takes into account the fluctuations of the energy tariff and the available power that can be supplied by the grid market. The structure is composed of two anticipative layers: a scheduling MPC (S-MPC) with a long time horizon, and a piloting MPC (P-MPC) dealing with short time horizon. This two-level MPC structure is explained in details and compared to a centralized control approach. The methodology is assessed on a case study, developed in SIMBAD, a MATLAB toolbox dedicated to building modeling and simulation. This representative case study is used to compare this hierarchical approach with a classical control structure. (C) 2013 Elsevier B.V. All rights reserved.
Abstract A ground source heat pump connected to a domestic hydronic heating network is studied to be driven with the minimum electric power. The hypothesis is to decrease the forward temperature to the extent that one...
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Abstract A ground source heat pump connected to a domestic hydronic heating network is studied to be driven with the minimum electric power. The hypothesis is to decrease the forward temperature to the extent that one of the hydronic heaters work at full capacity. A less forward temperature would result in a dramatic temperature drop in the room with saturated actuator. The optimization hypothesis is inspired by the fact that, the consumed electric power by the heat pump has a strong positive correlation with the generated forward temperature. A modelpredictivecontrol scheme is proposed in the current study to achieve the optimal forward temperature. At the lower hierarchy level, local PI controllers seek the corresponding room temperature setpoint. Simulation results for a multi-room house case study show considerable energy savings compared to the heat pump's traditional control scheme.
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