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Optimal control strategy for ventilation systems using POD model reduction and genetic algorithm.

Number: pap. 767

Author(s) : LI K., SU H., CHU J.

Summary

This paper is concerned with the development of a fast and high-resolution optimization scheme, which can improve the thermal comfort and indoor air quality (IAQ), as well as building energy consumption. The proposed approach encompasses two essential components. The first one is acquiring high-resolution information about indoor environment, for which proper orthogonal decomposition (POD) technique is introduced. By projecting the original parameter space onto a subspace optimally in energy sense, POD based method can reconstruct low dimensional steady spaces of indoor temperature, velocity and CO2 distributions, which have comparable precisions as their CFD-based original ones. At the same time, because of the extremely lower dimension, the resulted parameter spaces are suitable for optimization procedure in online applications. The other one is integrating an appropriate optimization scheme. The objective function is constructed in a way attempting to aggregate and weight indices into one indicator, such as index of PMV, space temperature gradients (STG), IAQ index, energy consumption, etc.. The constrained optimization problem is solved by genetic algorithm (GA). Multi-dimensional interpolation within obtained multi-parameter subspaces can fast calculate environmental responses, which can speed up fitness evaluations inside GA loops. A simulation based case study indicates that the presented optimization approach are able to result in improvements of thermal comfort, IAQ and energy costs of ventilation system in a balanced way.

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Pages: 10 p.

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Details

  • Original title: Optimal control strategy for ventilation systems using POD model reduction and genetic algorithm.
  • Record ID : 30009840
  • Languages: English
  • Source: Clima 2013. 11th REHVA World Congress and 8th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings.
  • Publication date: 2013/06/16

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