Search Results - subject:"Model Predictive Control"

Fault tolerance modeling for an e-waste recycling supply chain

Chen, Yenming J.; Sheu, Jiuh-Biing; Lirn, Taih-Cherng - In: Transportation Research Part E: Logistics and … 48 (2012) 5, pp. 897-906

supply chain. Due to the double-ended fluctuations in this supply chain, conventional, optimization based, model predictive … control cannot be applied without proper improvement. This paper contributes to the e-waste management literature in the …

Persistent link: https://www.econbiz.de/10010755131

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

Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach

Bououden, S.; Chadli, M.; Filali, S.; El Hajjaji, A. - In: Renewable Energy 37 (2012) 1, pp. 434-439

This paper deals with fuzzy model based multivariable predictive control (FMMPC) for wind turbine generator. Using Linear Matrix Inequalities (LMI) technique combined with predictive approach, a FMMPC law is designed easily by solving a convex optimization problem subject to LMI conditions....

Persistent link: https://www.econbiz.de/10010803967

Direct connection of WECS system to the MV grid with multilevel converters

Verne, Santiago A.; Valla, María I. - In: Renewable Energy 41 (2012) C, pp. 336-344

are based on a Finite-States Model Predictive Control approach, leading to fast dynamic response and DC bus voltage …

Persistent link: https://www.econbiz.de/10011045033

Model predictive control technologies for efficient and flexible power consumption in refrigeration systems

Hovgaard, Tobias Gybel; Larsen, Lars F.S.; Edlund, Kristian - In: Energy 44 (2012) 1, pp. 105-116

system load over time in a more cost-optimal way. In this paper we describe a novel economic-optimizing Model Predictive … Control (MPC) scheme that reduces operating costs by utilizing the thermal storage capabilities. A nonlinear optimization tool …

Persistent link: https://www.econbiz.de/10011054041

A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges

Staden, Adam Jacobus van; Zhang, Jiangfeng; Xia, Xiaohua - In: Applied Energy 88 (2011) 12, pp. 4785-4794

for electricity on both time-of-use (TOU) and maximum demand (MD). A model predictive control approach is used to … uncertainty and plant failure is also simulated to demonstrate the benefits of a model predictive control model. …

Persistent link: https://www.econbiz.de/10010572026

Controller tuning of district heating networks using experiment design techniques

Dobos, László; Abonyi, János - In: Energy 36 (2011) 8, pp. 4633-4639

There are various governmental policies aimed at reducing the dependence on fossil fuels for space heating and the reduction in its associated emission of greenhouse gases. DHNs (District heating networks) could provide an efficient method for house and space heating by utilizing residual...

Persistent link: https://www.econbiz.de/10011055120

Experimental analysis of model predictive control for an energy efficient building heating system

Široký, Jan; Oldewurtel, Frauke; Cigler, Jiří; … - In: Applied Energy 88 (2011) 9, pp. 3079-3087

the analysis of energy savings that can be achieved in a building heating system by applying model predictive control (MPC …

Persistent link: https://www.econbiz.de/10011040761

Reheat optimization of the variable-air-volume box

Kusiak, Andrew; Li, Mingyang - In: Energy 35 (2010) 5, pp. 1997-2005

introduced while solving the optimization model. A model predictive control strategy is used to generate controls minimizing the …

Persistent link: https://www.econbiz.de/10010811062

Dynamic control of wind turbines

Kusiak, Andrew; Li, Wenyan; Song, Zhe - In: Renewable Energy 35 (2010) 2, pp. 456-463

approaches: data mining, model predictive control, and evolutionary computation. To enhance the control strategy of the …

Persistent link: https://www.econbiz.de/10010806523