Search Results - subject:"predictive control"

Thermal stress management of a solid oxide fuel cell using neural network predictive control

Hajimolana, S.A.; Tonekabonimoghadam, S.M.; Hussain, M.A.; … - In: Energy 62 (2013) C, pp. 320-329

In SOFC (solid oxide fuel cell) systems operating at high temperatures, temperature fluctuation induces a thermal stress in the electrodes and electrolyte ceramics; therefore, the cell temperature distribution is recommended to be kept as constant as possible. In the present work, a mathematical...

Persistent link: https://www.econbiz.de/10011055199

Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performance

Goyal, Siddharth; Ingley, Herbert A.; Barooah, Prabir - In: Applied Energy 106 (2013) C, pp. 209-221

based schemes use a model predictive control (MPC) methodology; the difference between the two is that one is allowed …

Persistent link: https://www.econbiz.de/10011040928

Dynamical optimal positioning of a photovoltaic panel in all weather conditions

Gulin, Marko; Vašak, Mario; Perić, Nedjeljko - In: Applied Energy 108 (2013) C, pp. 429-438

In this paper we develop and verify a model predictive control algorithm for photovoltaic panel orientation with the … constraints. The model predictive control synthesis procedure comprises two basic steps: (i) identification of solar irradiance … model and development of the photovoltaic system model and (ii) development of predictive control algorithm for the …

Persistent link: https://www.econbiz.de/10011041387

Simulation-based weight factor selection and FPGA prediction core implementation for finite-set model based predictive control of power electronics

Vyncke, Thomas J.; Thielemans, Steven; Melkebeek, Jan A.A. - In: Mathematics and Computers in Simulation (MATCOM) 91 (2013) C, pp. 150-166

Model-based predictive control (MBPC) for power-electronic converters offers fast and accurate control. Based on the …

Persistent link: https://www.econbiz.de/10010751819

Importance of occupancy information for building climate control

Oldewurtel, Frauke; Sturzenegger, David; Morari, Manfred - In: Applied Energy 101 (2013) C, pp. 521-532

Predictive Control (MPC) framework, which is well-suited for this study due to its ability to readily include occupancy …

Persistent link: https://www.econbiz.de/10010594030

Cooperative traffic control of a mixed network with two urban regions and a freeway

Haddad, Jack; Ramezani, Mohsen; Geroliminis, Nikolas - In: Transportation Research Part B: Methodological 54 (2013) C, pp. 17-36

. The optimal traffic control problem is solved by a Model Predictive Control (MPC) approach in order to minimize total …

Persistent link: https://www.econbiz.de/10010679244

Desiccant wheel thermal performance modeling for indoor humidity optimal control

Wang, Nan; Zhang, Jiangfeng; Xia, Xiaohua - In: Applied Energy 112 (2013) C, pp. 999-1005

this paper, an optimal humidity control model (OHCM) is presented. Model predictive control (MPC) strategy is applied to …

Persistent link: https://www.econbiz.de/10010702499

Model-based predictive control of an ice storage device in a building cooling system

Candanedo, J.A.; Dehkordi, V.R.; Stylianou, M. - In: Applied Energy 111 (2013) C, pp. 1032-1045

This paper describes an approach to the formulation of a model-based predictive control (MPC) algorithm for the cooling …

Persistent link: https://www.econbiz.de/10010702708

Generalized predictive control applied in waste heat recovery power plants

Zhang, Jianhua; Zhou, Yeli; Li, Ying; Hou, Guolian; … - In: Applied Energy 102 (2013) C, pp. 320-326

A multivariable control strategy is needed to ensure high efficiency and load-following capability in the operation of waste heat recovery power plants. In this paper, a generalized predictive controller is proposed for a waste heat recovery process operating on an organic Rankine cycle. The...

Persistent link: https://www.econbiz.de/10010602991

An optimal operation of wind energy storage system for frequency control based on model predictive control

Khalid, M.; Savkin, A.V. - In: Renewable Energy 48 (2012) C, pp. 127-132

designed. The strategy is based on model predictive control to ensure the optimal operation of BESS in the presence of system …

Persistent link: https://www.econbiz.de/10010803862