Proceedings ArticleDOI
A dynamic horizon distributed predictive control approach for temperature regulation in multi-zone buildings
Petru-Daniel Morosan,Romain Bourdais,Didier Dumur,Jean Buisson +3 more
- pp 622-627
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TLDR
In this paper, a distributed predictive control strategy for building temperature regulation is proposed, where each controller solves a local optimization problem using information about the expected behavior of the other local regulators.Abstract:
This paper proposes a distributed predictive control strategy for building temperature regulation. The originality of the approach consists of using a dynamic prediction horizon MPC, allowing a more effective disturbances rejection. Then this idea is extended, for multizone temperature control in buildings, in a distributed manner, where each controller solves a local optimization problem using information about the expected behavior of the other local regulators. The effectiveness of the proposed approach is showed through different simulations.read more
Citations
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Journal ArticleDOI
A distributed MPC strategy based on Benders' decomposition applied to multi-source multi-zone temperature regulation
TL;DR: In this paper, a distributed model predictive control (DMPC) algorithm based on Benders' decomposition for temperature regulation in buildings using multiple heating sources is presented, which can reduce the computational demand required to solve the minimization problem.
Proceedings Article
Stochastic model predictive controller for the integration of building use and temperature regulation
TL;DR: A novel control algorithm is developed that uses a stochastic building occupancy model to improve mean energy efficiency while minimizing expected discomfort and is compared by simulation to the standard heating control method to empirically demonstrate a 4.3% reduction in energy use and 38.3%" reduction in expected discomfort.
A distributed approach to efficient model predictive control of building HVAC systems.
TL;DR: In this paper, a distributed optimization approach is proposed to solve reduced dimensional optimization problems at the subsystem level and integrate the resulting solutions to obtain a global control law, which is then analyzed analytically using a dynamic programming-based approach without resorting to numerical optimization routine.
Proceedings ArticleDOI
An adaptive distributed predictive control strategy for temperature regulation in a multizone office building
TL;DR: In this paper, an innovative MPC strategy for indoor temperature regulation in a three-zones building is presented and two different strategies of adaptive MPC are proposed to achieve even higher performances ensuring temperature regulation on the basis of the occupancy level of each building zone.
Dissertation
A Study of Predictive Control Strategies for Optimally Designed Solar Homes
Candanedo Ibarra,José +1 more
TL;DR: In this article, the authors investigated the development of predictive control strategies for optimally or near-optimally designed solar homes, which refers to the integration of renewable energy technologies (mainly active and passive solar) with a high-quality building envelope as well as efficiency and conservation measures to achieve substantial reductions in energy consumption and peak demand.
References
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Nash-optimization enhanced distributed model predictive control applied to the Shell benchmark problem
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Networked model predictive control based on neighbourhood optimization for serially connected large-scale processes
Yan Zhang,Shaoyuan Li +1 more
TL;DR: In this article, two networked model predictive control schemes based on neighbourhood optimization are presented for on-line optimization and control of a class of serially connected processes (known as the cascade processes in some references).