Search Results - subject:"Predictive control"

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 …

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

Energy analysis and optimization of a food defrosting system

Damour, C.; Hamdi, M.; Josset, C.; Auvity, B.; … - In: Energy 37 (2012) 1, pp. 562-570

overall energy consumption. Second, an on-line energy optimization approach, based on a nonlinear model-based predictive … control strategy, is developed. This second approach takes simultaneously into account the expected thawing time, the highest …

Persistent link: https://www.econbiz.de/10010811448

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

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

Local model predictive controller in a solar desalination plant collector field

Ayala, Claudio O.; Roca, Lidia; Guzman, Jose Luis; … - In: Renewable Energy 36 (2011) 11, pp. 3001-3012

This paper proposes a new predictive control strategy for a distributed collector field of a solar desalination plant … predictive control algorithm and a simple procedure to update the linear model used in the predictor as well as the tuning …

Persistent link: https://www.econbiz.de/10010804731

Implementation of photovoltaic array MPPT through fixed step predictive control technique

Kakosimos, Panagiotis E.; Kladas, Antonios G. - In: Renewable Energy 36 (2011) 9, pp. 2508-2514

This paper proposes the implementation of Photovoltaic (PV) array Maximum Power Point Tracker (MPPT) through Fixed Step-Model Predictive Controller (FS MPC). The proposed controller scheme is based on the modified INcremental Conductance (INC) algorithm combined with the two-step horizon FS MPC....

Persistent link: https://www.econbiz.de/10010807056

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

Method for simulating predictive control of building systems operation in the early stages of building design

Petersen, Steffen; Svendsen, Svend - In: Applied Energy 88 (2011) 12, pp. 4597-4606

A method for simulating predictive control of building systems operation in the early stages of building design is …

Persistent link: https://www.econbiz.de/10010571918

ANN virtual sensors for emissions prediction and control

Yap, Wai Kean; Karri, Vishy - In: Applied Energy 88 (2011) 12, pp. 4505-4516

This paper demonstrates the use of artificial neural networks virtual sensors in emissions prediction and control for a gasoline engine. Tailpipe emissions and engine parameters were first measured experimentally to form a comprehensive database for network training and testing. Individual...

Persistent link: https://www.econbiz.de/10010571984