ANN application to modelling and control of small absorption chillers
The main aim of this paper is to demonstrate the application of Artificial Neural Networks (ANN) in small absorption chillers modelling and their control optimisation. The Genetic Algorithms (GA) optimisation method was coupled to the ANN model in order to solve the optimal operation problem where the objective function was the minimal primary energy consumption. This paper analyses the impact of control strategy on energy performance of small capacity absorption chillers, while emphasizing the usability of ANN model, and comparing this strategy to conventional operation strategies.
Citation : Labus, J., Korolija, I., Marjanovic-Halburd, L., Zhang, Y. and Coronas, A. (2012) ANN application to modelling and control of small absorption chillers. BSO12 - Building Simulation and Optimization Conference. Loughborough, UK, pp. 245–252.
Research Group : Institute of Energy and Sustainable Development
Research Institute : Institute of Energy and Sustainable Development (IESD)
Peer Reviewed : Yes