Optimal Day-to-Night Greenhouse Heat Storage: Square-Wave Weather

Ido Seginer; Gerrit van Straten; Peter van Beveren

doi:10.1016/j.ifacol.2016.10.069

Optimal Day-to-Night Greenhouse Heat Storage: Square-Wave Weather

Ido Seginer, Gerrit van Straten, Peter van Beveren

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

Abstract

Day-to-night heat storage is often practiced in cold-climate greenhouses. It is suggested to manage the heat storage by considering the co-state (virtual value) of the stored heat in the on-line optimization of the greenhouse environment. Examples worked out for a periodic square-wave weather show that a properly selected constant co-state can produce an optimal solution to the control problem. The optimal co-state is shown to change with time over the year. Maximizing the performance criterion can also be achieved by minimizing the time that the heat buffer is either completely empty or completely full.

Original language	English
Title of host publication	5th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture AGRICONTROL 2016
Editors	L. Tang
Publisher	IFAC
Pages	375-380
Volume	49
Edition	16
DOIs	https://doi.org/10.1016/j.ifacol.2016.10.069
Publication status	Published - 25 Oct 2016

Publication series

Name	IFAC-PapersOnLine
Publisher	Elsevier
ISSN (Print)	2405-8963

Keywords

Co-state
Constrained optimum
Greenhouse
Heat storage
Optimal control
Time on bounds

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ifacol.2016.10.069

Cite this

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title = "Optimal Day-to-Night Greenhouse Heat Storage: Square-Wave Weather",

abstract = "Day-to-night heat storage is often practiced in cold-climate greenhouses. It is suggested to manage the heat storage by considering the co-state (virtual value) of the stored heat in the on-line optimization of the greenhouse environment. Examples worked out for a periodic square-wave weather show that a properly selected constant co-state can produce an optimal solution to the control problem. The optimal co-state is shown to change with time over the year. Maximizing the performance criterion can also be achieved by minimizing the time that the heat buffer is either completely empty or completely full.",

keywords = "Co-state, Constrained optimum, Greenhouse, Heat storage, Optimal control, Time on bounds",

author = "Ido Seginer and {van Straten}, Gerrit and {van Beveren}, Peter",

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doi = "10.1016/j.ifacol.2016.10.069",

language = "English",

volume = "49",

series = "IFAC-PapersOnLine",

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edition = "16",

}

Optimal Day-to-Night Greenhouse Heat Storage: Square-Wave Weather. / Seginer, Ido; van Straten, Gerrit; van Beveren, Peter.
5th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture AGRICONTROL 2016. ed. / L. Tang. Vol. 49 16. ed. IFAC, 2016. p. 375-380 (IFAC-PapersOnLine).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

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AU - Seginer, Ido

AU - van Straten, Gerrit

AU - van Beveren, Peter

PY - 2016/10/25

Y1 - 2016/10/25

N2 - Day-to-night heat storage is often practiced in cold-climate greenhouses. It is suggested to manage the heat storage by considering the co-state (virtual value) of the stored heat in the on-line optimization of the greenhouse environment. Examples worked out for a periodic square-wave weather show that a properly selected constant co-state can produce an optimal solution to the control problem. The optimal co-state is shown to change with time over the year. Maximizing the performance criterion can also be achieved by minimizing the time that the heat buffer is either completely empty or completely full.

AB - Day-to-night heat storage is often practiced in cold-climate greenhouses. It is suggested to manage the heat storage by considering the co-state (virtual value) of the stored heat in the on-line optimization of the greenhouse environment. Examples worked out for a periodic square-wave weather show that a properly selected constant co-state can produce an optimal solution to the control problem. The optimal co-state is shown to change with time over the year. Maximizing the performance criterion can also be achieved by minimizing the time that the heat buffer is either completely empty or completely full.

KW - Co-state

KW - Constrained optimum

KW - Greenhouse

KW - Heat storage

KW - Optimal control

KW - Time on bounds

U2 - 10.1016/j.ifacol.2016.10.069

DO - 10.1016/j.ifacol.2016.10.069

M3 - Conference paper

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PB - IFAC

ER -

Optimal Day-to-Night Greenhouse Heat Storage: Square-Wave Weather

Abstract

Publication series

Keywords

UN SDGs

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