Navier-stokes based indoor climate control

US2017074535A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017074535-A1
Application numberUS-201515123706-A
CountryUS
Kind codeA1
Filing dateMar 10, 2015
Priority dateMar 10, 2014
Publication dateMar 16, 2017
Grant date

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Abstract

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A data processor ( 4 ) is disclosed that can be used in a climate control system ( 1 ) for controlling a climate in an indoor space ( 10 ) or in a design system ( 20 ) for designing such a climate control system. The data processor jointly resolves a set of coupled optimization problems of the following form: Formula (5a) subject to Formula (5b) wherein: Formula (I) is an augmented state-vector comprising a vector Φ specifying the spatial distribution of a climate related variable with respect to a plurality of spatial cells, and a source term q Φ to be resolved, and wherein Formula (II) is the solution found for point in time k+1, Formula (III) being a vector specifying a setpoint specified for said climate related variable at point in time k+1 for at least a part of said plurality of cells, Formula (IV) are boundary conditions relevant for said climate related variable at point in time k, S is a selection matrix, selecting cells for said distribution having a setpoint, O is the zero matrix, I is the identity matrix and Q and R are weighting matrices for tracking and energy consumption, wherein A Φ is a matrix that defines the development of vector Φ as a function of one or more other vectors of climate related variables, wherein B Φ is a matrix that maps the source terms for field Φ to the cell field values affected by those source terms, and wherein the data processor ( 4 ) controls the plurality of said actuators in accordance with the source term q Φ. z Φ k = argmin  ?  ( [ S Φ k   1   O ] Z Φ   Φ ~ k   1 ) T  Q Φ k  ( [ S Φ k   1   O ] Z Φ   Φ ~ k   1 )  ( [ O   I ] Z Φ ) T  R Φ k  ( [ O   I ] Z Φ ) ( 5  a )  ⌊ A Φ k   B Φ k ⌋ Z Φ   b Φ k  ( Φ k , e Φ k ) = 0 ( 5  b )  Z Φ - [ Φ q Φ ] ( I )  Z Φ k - [ Φ k   1 q Φ i  ? ( II )  Φ ~ k  + 1 ( III )  e Φ  k    ?  indicates text missing or illegible when filed ( IV )

First claim

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1 . A data processor, comprising outputs to provide control signals (Ca, . . . , Cna) suitable for control of the indoor climate related variables, wherein said data processor jointly resolves a set of coupled optimization problems of the following form z Φ k =arg min z Φ ([ S Φ k+1 O]z Φ −{tilde over (Φ)} k+1 ) T Q Φ k ([ S Φ k+1 O]z Φ −{tilde over (Φ)} k+1 )+([ O I]z Φ ) T R Φ k ([ O I]z Φ ) subject to [ A Φ k −B Φ k ]z Φ −b′ Φ k (Φ k ,e Φ k )=0 wherein: z Φ = [ Φ q Φ ] is an augmented state-vector comprising a vector φ specifying the spatial distribution of a climate related variable with respect to a plurality of spatial cells, and a source term q Φ to be resolved, said source term corresponding to settings for said control signals and wherein z Φ k = [ Φ k + 1 q Φ k ] is the solution found for point in time k, {tilde over (Φ)} k+1 being a vector specifying a setpoint specified for said climate related variable at point in time k+1 for at least a part of said plurality of cells, e Φ k are boundary conditions relevant for said climate related variable at point in time k, S is a selection matrix, selecting cells for said distribution having a setpoint, O is the zero matrix, I is the identity matrix and Q and R are weighting matrices for tracking and energy consumption, and wherein A φ is a matrix that defines the development of vector φ as a function of one or more other vectors of climate related variables, wherein B φ is a matrix that maps the source terms for field φ to the cell field values affected by those source terms, and wherein the data processor provides the control signals (Ca, . . . , Cna) in accordance with the source term q Φ . 2 . The data processor according to claim 1 , wherein jointly resolving the set of coupled optimization problems involves the following steps: An update step, comprising the following sub-steps to be carried out in arbitrary order update (S1u) the air velocity field u and associated source term field q u for a first spatial direction (x) by optimizing the air velocity field u for said direction, update (S1v) the air velocity field v and associated source term field q v for a second spatial direction (y) by optimizing the air velocity field v for said direction, update (S1 w) the air velocity field w and associated source term field q w for a third spatial direction (z) by optimizing the air velocity field z for said direction, update (S1T) the temperature field T and associated source term field q T by optimizing the temperature field T, Calculate (S2) the pressure field (P) Apply a relaxation step (S3), Check for convergence, otherwise repeat the previous steps S1-S3 3 - 7 . (canceled) 8 . A data processing method relating to control of a climate in an indoor space, the data processing method comprising jointly resolving a set of coupled optimization problems of the following form: z Φ k =arg min z Φ ([ S Φ k+1 O]z Φ −{tilde over (Φ)} k+1 ) T Q Φ k ([ S Φ k+1 O]z Φ −{tilde over (Φ)} k+1 )+([ O I]z Φ ) T R Φ k ([ O I]z Φ ) subject to [ A Φ k −B Φ k ]z Φ −b′ Φ k (Φ k ,e Φ k )=0 wherein: z Φ = [ Φ q Φ ] is an augmented state-vector comprising a vector φ specifying the spatial distribution of a climate related variable with respect to a plurality of spatial cells, and a source term q Φ to be resolved, and wherein z Φ k = [ Φ k + 1 q Φ k ] is the solution found for point in time k, {tilde over (Φ)} k+1 being a vector specifying a setpoint specified for said climate related variable at point in time k+1 for at least a part of said plurality of cells, e Φ k are boundary conditions relevant for said climate related variable at point in time k, S is a selection matrix, selecting cells for said distribution having a setpoint, O is the zero matrix, I is the identity matrix and Q and R are weighting matrices for tracking and energy consumption, and wherein A φ is a matrix that defines the development of vector φ as a function of one or more other vectors of climate related variables, and wherein B φ is a matrix that maps the source terms for field φ to the cell field values affected by those source terms, the method further comprising providing control signals in accordance with said source terms. 9 . A method according to claim 8 , further comprising receiving sensory data indicative for sensed values from climate related variables in an indoor space as the data indicative for values of indoor climate related variables, driving a plurality of actuators by said control signals. 10 . The method according to claim 9 , comprising providing the vector {tilde over (Φ)} specifying a setpoint and the boundary conditions e Φ k as constants. 11 . The method according to claim 9 , comprising providing the vector {tilde over (Φ)} specifying a setpoint and/or the boundary conditions e Φ k as variables. 12 . The method

Assignees

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Classifications

  • F24F11/46Primary

    Improving electric energy efficiency or saving · CPC title

  • Electronic processing · CPC title

  • Greenhouse technology, e.g. cooling systems therefor · CPC title

  • F24F11/30Primary

    for purposes related to the operation of the system, e.g. for safety or monitoring · CPC title

  • F24F11/006Primary

    Mechanical Engineering · mapped topic

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What does patent US2017074535A1 cover?
A data processor ( 4 ) is disclosed that can be used in a climate control system ( 1 ) for controlling a climate in an indoor space ( 10 ) or in a design system ( 20 ) for designing such a climate control system. The data processor jointly resolves a set of coupled optimization problems of the following form: Formula (5a) subject to Formula (5b) wherein: Formula (I) is an augmented state-vector…
Who is the assignee on this patent?
Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno
What technology area does this patent fall under?
Primary CPC classification F24F11/46. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Thu Mar 16 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).