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Simulation-based control of enclosed ecosystems - a case study: determinatio 'of greenhouse heating setpor ts
Authors: R. Lacroix and R. Kok
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Download file: https://library.csbe-scgab.ca/docs/journal/41/41_3_175_ocr.pdf
Published in: CBE Journal » CBE Journal Volume 41 (1999)
Download RAW file: https://library.csbe-scgab.ca/docs/journal/41/41_3_175_raw.pdf
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Description: The overall objective of this study was to investigate the use ofa simulation-based approach for the control of enclosed ecosystems. To do this, a simulation-based controller was developed and implemented in a simulated greenhouse system. The role of the controller was to determine the setpoint path that would minimize the energy requirements for heating. It did this once a day, for the ensuing 24 hours, by simulating the greenhouse behavior in response to anticipated meteorological conditions. For each day a number of simulations were run for various setpoint scenarios and the most favorable scenario chosen. The greenhouse model that was used for these simulations was a neural network. The strategy used by the controller was based on the supposition that crops have a temperature integration capacity. Overall, the simulation-based controller allowed the greenhouse system to adapt itself to the anticipated disturbances and to behave more optimally than with a reference controller. It maintained high night temperatures when outside temperature and solar radiation intensity were anticipated to be low during the next day and vice-versa. This control approach reduced the average heating load by more than 7%. The results illustrate the adaptive capacity of a simulation-based controller and provides a basis for the use of this approach in various other types of enclosed ecosystems.
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Citation: R. Lacroix and R. Kok 1999. SlMULATIO -BASED CONTROL OF ENCLOSED ECOSYSTEMS - A CASE STUDY: DETERMINATIO 'OF GREENHOUSE HEATING SETPor TS. Canadian Agricultural Engineering 41(3):175-183.
Volume: 41
Issue: 3
Pages -
Contributor:
Date: 1999
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Type: Text.Article
Format: PDF
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Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
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DOI:
Description: The overall objective of this study was to investigate the use ofa simulation-based approach for the control of enclosed ecosystems. To do this, a simulation-based controller was developed and implemented in a simulated greenhouse system. The role of the controller was to determine the setpoint path that would minimize the energy requirements for heating. It did this once a day, for the ensuing 24 hours, by simulating the greenhouse behavior in response to anticipated meteorological conditions. For each day a number of simulations were run for various setpoint scenarios and the most favorable scenario chosen. The greenhouse model that was used for these simulations was a neural network. The strategy used by the controller was based on the supposition that crops have a temperature integration capacity. Overall, the simulation-based controller allowed the greenhouse system to adapt itself to the anticipated disturbances and to behave more optimally than with a reference controller. It maintained high night temperatures when outside temperature and solar radiation intensity were anticipated to be low during the next day and vice-versa. This control approach reduced the average heating load by more than 7%. The results illustrate the adaptive capacity of a simulation-based controller and provides a basis for the use of this approach in various other types of enclosed ecosystems.
Keywords:
Résumé:
Mots-clés:
Citation: R. Lacroix and R. Kok 1999. SlMULATIO -BASED CONTROL OF ENCLOSED ECOSYSTEMS - A CASE STUDY: DETERMINATIO 'OF GREENHOUSE HEATING SETPor TS. Canadian Agricultural Engineering 41(3):175-183.
Volume: 41
Issue: 3
Pages -
Contributor:
Date: 1999
Technical field:
Conference name:
Session name:
Other information:
Type: Text.Article
Format: PDF
Publication type:
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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