Model predictive control for flexible power consumption of large-scale refrigeration systems

Shafiei, Seyed Ehsan; Stoustrup, Jakob; Rasmussen, Henrik

doi:10.1109/acc.2014.6858921

Cited by 11 publications

(23 citation statements)

References 13 publications

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“…Trabajos más recientes utilizan control predictivo para la gestión de sistema de refrigeración. Por ejemplo, Shafiei et al presenta un esquema de control MPC para minimizar las desviaciones de consumo de energía eléctrica respecto a un consumo de referencia en una planta de refrigeración de gran escala [21]. Para ello utiliza la energía cargada y descargada del PCM, introduciendo en el problema de optimización una referencia de la temperatura de evaporación como una variable manipulable ficticia.…”

Section: Recinto a Refrigerarunclassified

Modelado dinámico de un sistema de almacenamiento de frío vinculado a un ciclo de refrigeración

Pellicer¹,

Aguilar²,

Villanueva³

et al. 2020

XXXVIII Jornadas De Automática: Gijón, 6, 7, Y 8 De Septiembre De 2017

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Section: Recinto a Refrigerarunclassified

Modelado dinámico de un sistema de almacenamiento de frío vinculado a un ciclo de refrigeración

Pellicer¹,

Aguilar²,

Villanueva³

et al. 2020

XXXVIII Jornadas De Automática: Gijón, 6, 7, Y 8 De Septiembre De 2017

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“…This involved building a mathematical model of the temperature dynamics of the room, and combining this model with statistical methods allows us to compute the heating load due to occupants and equipment using only a single temperature sensor. A model predictive control (MPC) scheme was proposed for flexible power consumption of refrigeration systems (Shafiei, Stoustrup, & Rasmussen, 2014), which directly controlled the electrical power consumption of largescale refrigeration systems. A high performance for the power regulation and control for the refrigerator system was obtained by the MPC algorithm.…”

Section: Efficiency In Appliance Usagementioning

confidence: 99%

A Survey of Methods for Achieving Efficiency in Electricity Consumption

Ozoh¹,

Abd-Rahman²,

Labadin³

2016

IJAIS

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This paper investigates related research work on electricity consumption in buildings and outlines its context relative to improving efficiency in appliance usage by customers. The aim of this research is to study the impact of applying powersaving measures on appliance usage in order to reduce electric costs. The study focuses on a review of tools and methods involved in achieving efficient electricity consumption system with respect to minimization of electric costs and reduction of electricity wastage in the system. It also conducts a survey of various literatures involving the potential impact of incorporating power-saving measures on low-power and highpower appliances to allow for more efficient use of electrical appliances. The paper provides a number of recommendations for achieving efficiency in electricity consumption, when power-saving measures are applied to appliance usage.

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“…Other influences on the COP are evaporation temperature and mass flow out of the evaporators as stated by Shafiei et al [2014]. The evaporation temperature is constant in this work due to the constant suction pressure.…”

Section: Cost Minimizationmentioning

confidence: 99%

Model-Based Predictive Control Scheme for Cost Optimization and Balancing Services for Supermarket Refrigeration Systems

Weerts

Shafiei

Stoustrup

et al. 2014

IFAC Proceedings Volumes

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General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract: A formulation of model predictive control for supermarket refrigeration systems is proposed to facilitate the regulatory power services as well as energy cost optimization of such systems in the smart grid. Nonlinear dynamics existing in large-scale refrigeration plants challenges the predictive control design. It is however shown that taking into account the knowledge of different time scales in the dynamical subsystems makes possible a linear formulation of a centralized predictive controller. A realistic scenario of regulatory power services in the smart grid is considered and formulated in the same objective as of a cost optimization one. A simulation benchmark validated against real data and including significant dynamics of the system is employed to show the effectiveness of the proposed control scheme.

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Model predictive control for flexible power consumption of large-scale refrigeration systems

Cited by 11 publications

References 13 publications

Modelado dinámico de un sistema de almacenamiento de frío vinculado a un ciclo de refrigeración

Modelado dinámico de un sistema de almacenamiento de frío vinculado a un ciclo de refrigeración

A Survey of Methods for Achieving Efficiency in Electricity Consumption

Model-Based Predictive Control Scheme for Cost Optimization and Balancing Services for Supermarket Refrigeration Systems

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