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Carl-Otto Ottosen

DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses

Publikation: Bidrag til bog/antologi/rapport/proceedingBidrag til bog/antologiForskningpeer review

Standard

DynaGrow : Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses. / Sørensen, Jan Corfixen; Kjær, Katrine Heinsvig; Ottosen, Carl-Otto; Nørregaard Jørgensen, Bo.

Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9–11, 2016. Revised Selected Papers. red. / Juan Julian Merelo; Fernando Melício; José M. Cadenas; António Dourado; Kurosh Madani; António Ruano; Joaquim Filipe. Springer, 2019. s. 25-44 (Studies in Computational Intelligence, Bind 792).

Publikation: Bidrag til bog/antologi/rapport/proceedingBidrag til bog/antologiForskningpeer review

Harvard

Sørensen, JC, Kjær, KH, Ottosen, C-O & Nørregaard Jørgensen, B 2019, DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses. i JJ Merelo, F Melício, JM Cadenas, A Dourado, K Madani, A Ruano & J Filipe (red), Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9–11, 2016. Revised Selected Papers. Springer, Studies in Computational Intelligence, bind 792, s. 25-44. https://doi.org/10.1007/978-3-319-99283-9_2

APA

Sørensen, J. C., Kjær, K. H., Ottosen, C-O., & Nørregaard Jørgensen, B. (2019). DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses. I J. J. Merelo, F. Melício, J. M. Cadenas, A. Dourado, K. Madani, A. Ruano, & J. Filipe (red.), Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9–11, 2016. Revised Selected Papers (s. 25-44). Springer. Studies in Computational Intelligence, Bind. 792 https://doi.org/10.1007/978-3-319-99283-9_2

CBE

Sørensen JC, Kjær KH, Ottosen C-O, Nørregaard Jørgensen B. 2019. DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses. Merelo JJ, Melício F, Cadenas JM, Dourado A, Madani K, Ruano A, Filipe J, red. I Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9–11, 2016. Revised Selected Papers. Springer. s. 25-44. (Studies in Computational Intelligence, Bind 792). https://doi.org/10.1007/978-3-319-99283-9_2

MLA

Sørensen, Jan Corfixen o.a.. "DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses"., Merelo, Juan Julian, Melício, Fernando, Cadenas, José M. Dourado, António Madani, Kurosh Ruano, António Filipe, Joaquim (red.). Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9–11, 2016. Revised Selected Papers. Springer. (Studies in Computational Intelligence, Bind 792). 2019, 25-44. https://doi.org/10.1007/978-3-319-99283-9_2

Vancouver

Sørensen JC, Kjær KH, Ottosen C-O, Nørregaard Jørgensen B. DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses. I Merelo JJ, Melício F, Cadenas JM, Dourado A, Madani K, Ruano A, Filipe J, red., Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9–11, 2016. Revised Selected Papers. Springer. 2019. s. 25-44. (Studies in Computational Intelligence, Bind 792). https://doi.org/10.1007/978-3-319-99283-9_2

Author

Sørensen, Jan Corfixen ; Kjær, Katrine Heinsvig ; Ottosen, Carl-Otto ; Nørregaard Jørgensen, Bo. / DynaGrow : Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses. Computational Intelligence: International Joint Conference, IJCCI 2016 Porto, Portugal, November 9–11, 2016. Revised Selected Papers. red. / Juan Julian Merelo ; Fernando Melício ; José M. Cadenas ; António Dourado ; Kurosh Madani ; António Ruano ; Joaquim Filipe. Springer, 2019. s. 25-44 (Studies in Computational Intelligence, Bind 792).

Bibtex

@inbook{e54fb815eaca4d3b800e65526574797c,
title = "DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses",
abstract = "It is not possible for growers to compromise product quality by savingenergy but the increasing electricity prices challenge the growers economically.Optimizationof such multiple conflicting goals requires advanced strategies that arecurrently not supported in existing greenhouse climate control systems. DynaGrowis built on top of the existing climate control computers and utilizes the existinghardware. By integrating with exiting hardware it is possibly to support advancedmulti-objective optimization of climate parameters without investing in new hardware.Furthermore, DynaGrow integrates with local climate data, electricity priceforecasts and outdoor weather forecasts, in order to formulate advanced controlobjectives. In September 2014 and February 2015 two greenhouse experiments wererun to evaluate the effects of DynaGrow. By applying multi-objective optimization,it was possible to produce a number of different cultivars and save energy withoutcompromising quality. The best energy savings were achieved in the February 2015experiment where the contribution from natural light was limited.",
keywords = "Multi-objective optimization",
author = "S{\o}rensen, {Jan Corfixen} and Kj{\ae}r, {Katrine Heinsvig} and Carl-Otto Ottosen and {N{\o}rregaard J{\o}rgensen}, Bo",
year = "2019",
doi = "10.1007/978-3-319-99283-9_2",
language = "English",
isbn = "978-3-319-99282-2",
series = "Studies in Computational Intelligence",
publisher = "Springer",
pages = "25--44",
editor = "Merelo, {Juan Julian} and Fernando Mel{\'i}cio and Cadenas, {Jos{\'e} M.} and Ant{\'o}nio Dourado and Kurosh Madani and Ant{\'o}nio Ruano and Joaquim Filipe",
booktitle = "Computational Intelligence",

}

RIS

TY - CHAP

T1 - DynaGrow

T2 - Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses

AU - Sørensen, Jan Corfixen

AU - Kjær, Katrine Heinsvig

AU - Ottosen, Carl-Otto

AU - Nørregaard Jørgensen, Bo

PY - 2019

Y1 - 2019

N2 - It is not possible for growers to compromise product quality by savingenergy but the increasing electricity prices challenge the growers economically.Optimizationof such multiple conflicting goals requires advanced strategies that arecurrently not supported in existing greenhouse climate control systems. DynaGrowis built on top of the existing climate control computers and utilizes the existinghardware. By integrating with exiting hardware it is possibly to support advancedmulti-objective optimization of climate parameters without investing in new hardware.Furthermore, DynaGrow integrates with local climate data, electricity priceforecasts and outdoor weather forecasts, in order to formulate advanced controlobjectives. In September 2014 and February 2015 two greenhouse experiments wererun to evaluate the effects of DynaGrow. By applying multi-objective optimization,it was possible to produce a number of different cultivars and save energy withoutcompromising quality. The best energy savings were achieved in the February 2015experiment where the contribution from natural light was limited.

AB - It is not possible for growers to compromise product quality by savingenergy but the increasing electricity prices challenge the growers economically.Optimizationof such multiple conflicting goals requires advanced strategies that arecurrently not supported in existing greenhouse climate control systems. DynaGrowis built on top of the existing climate control computers and utilizes the existinghardware. By integrating with exiting hardware it is possibly to support advancedmulti-objective optimization of climate parameters without investing in new hardware.Furthermore, DynaGrow integrates with local climate data, electricity priceforecasts and outdoor weather forecasts, in order to formulate advanced controlobjectives. In September 2014 and February 2015 two greenhouse experiments wererun to evaluate the effects of DynaGrow. By applying multi-objective optimization,it was possible to produce a number of different cultivars and save energy withoutcompromising quality. The best energy savings were achieved in the February 2015experiment where the contribution from natural light was limited.

KW - Multi-objective optimization

UR - http://www.scopus.com/inward/record.url?scp=85054367072&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-99283-9_2

DO - 10.1007/978-3-319-99283-9_2

M3 - Book chapter

SN - 978-3-319-99282-2

T3 - Studies in Computational Intelligence

SP - 25

EP - 44

BT - Computational Intelligence

A2 - Merelo, Juan Julian

A2 - Melício, Fernando

A2 - Cadenas, José M.

A2 - Dourado, António

A2 - Madani, Kurosh

A2 - Ruano, António

A2 - Filipe, Joaquim

PB - Springer

ER -