Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation

The objective of this thesis was to gain new insight into the process of feeding in large scale sea cage aquaculture and investigate novel methods of feeding in order to increase profitability, welfare and minimize environmental impact. Compared to livestock farming, Atlantic salmon (Salmo salar ) f...

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Published in:2014 Oceans - St. John's
Main Author: Skøien, Kristoffer Rist
Other Authors: Alfredsen, Jo Arve
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: NTNU 2017
Subjects:
Online Access:http://hdl.handle.net/11250/2435195
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topic VDP::Technology: 500::Information and communication technology: 550::Technical cybernetics: 553
spellingShingle VDP::Technology: 500::Information and communication technology: 550::Technical cybernetics: 553
Skøien, Kristoffer Rist
Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation
topic_facet VDP::Technology: 500::Information and communication technology: 550::Technical cybernetics: 553
description The objective of this thesis was to gain new insight into the process of feeding in large scale sea cage aquaculture and investigate novel methods of feeding in order to increase profitability, welfare and minimize environmental impact. Compared to livestock farming, Atlantic salmon (Salmo salar ) farming is a young industry which has experienced an almost exponential growth rate and the product continues to be in high demand. A single cage in Norway may contain more than a 1000 tonnes of fish in the form of 200.000 individuals. Such a figure is difficult to comprehend, but one may draw a parallel to the equivalent of 1600 cows inside a single cage. Feeding of fish kept in sea cages is a complicated endeavour compared to land based farming for a number of reasons. Thousands of individuals co-exist in a single three-dimensional dynamic space, observation is restricted to surface inspections or a submerged camera with limited field of view, feed can not be given to a specific fish and the location of feed is difficult to predict as a consequence of currents and fish induced turbulence. In addition, feed which is not consumed from the time it is distributed over the surface to it passes through the cage represents a direct economic loss and acts as an unnecessary nutrient discharge to the environment. Over 10.000 kg of feed may be administered to a single cage towards the end of a production cycle and is the single largest cost in Norwegian salmon farming. Even though the process of feeding is a complicated one, the systems used to distribute feed are simple. Significant effort has been made in determining the ration size, meal frequency and at what time of day Atlantic salmon should be fed. This thesis looks into the temporal feed availability on a meal to meal basis and goes into depth with respect to the spatial availability of feed within the sea cage. Many studies on a smaller scale indicate that spatially and temporally restrictive feeding may lead to unequal feed accessibility, loss of growth potential and elevated levels of aggression. With respect to controlling the spatial distribution of feed, it has been shown that current methods cover a small area of the cage surface. In addition, existing methods have limited ability to increase the feed distribution without exhibiting other detrimental effects such as increased pellet breakage. There is also no way of controlling where feed is placed as a consequence of wind or currents. Experimental results are presented to better understand the dynamics of a feed spreader, a model has been developed and the performance of different spreader designs investigated. Further experimental results for settling rate and diffusion of pellets are presented and have been used to parametrize a full sea cage model. This model enables simulation of environmental factors, feeding methods and fish to predict the effect on central production parameters. Finally, using these two models, different feeding regimes are simulated and the consequent effects on spatiotemporal feed distribution, feed intake and feed loss are commented upon. It is likely that by increased use of environmental measurements run through feed distribution models and having more adaptable methods of feed placement, one can in the future minimize the environmental impact whilst maintaining high growth rates and good fish welfare.
author2 Alfredsen, Jo Arve
format Doctoral or Postdoctoral Thesis
author Skøien, Kristoffer Rist
author_facet Skøien, Kristoffer Rist
author_sort Skøien, Kristoffer Rist
title Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation
title_short Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation
title_full Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation
title_fullStr Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation
title_full_unstemmed Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation
title_sort feed distribution in large scale sea cage aquaculture: experiments, modelling and simulation
publisher NTNU
publishDate 2017
url http://hdl.handle.net/11250/2435195
long_lat ENVELOPE(162.000,162.000,-76.550,-76.550)
geographic Endeavour
Norway
geographic_facet Endeavour
Norway
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_relation Doctoral theses at NTNU;2017:14
Paper A: Skøien, Kristoffer Rist; Alfredsen, Jo Arve. Feeding of large-scale fish farms: Motion characterization of a pneumatic rotor feed spreader. I: OCEANS'14 MTS/IEEE St. John's, 14-19 September. IEEE conference proceedings 2014 http://dx.doi.org/10.1109/OCEANS.2014.7003103 - © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Paper B: Skøien, Kristoffer Rist; Alver, Morten; Alfredsen, Jo Arve. A Computer Vision Approach for Detection and Quantification of Feed Particles in Marine Fish Farms. I: Image Processing (ICIP), 2014 IEEE International Conference on. IEEE Signal Processing Society 2014 s. 1648-1652 http://dx.doi.org/10.1109/ICIP.2014.7025330 © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Paper C: Skøien, Kristoffer Rist; Alver, Morten; Alfredsen, Jo Arve. Modelling spatial surface pellet distribution from rotary pneumatic feed spreaders. I: Control and Automation (MED), 2015 23th Mediterranean Conference on. IEEE conference proceedings 2015 ISBN 9781479999378. s. 883-888 http://dx.doi.org/10.1109/MED.2015.7158857 © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Paper D: Alver, Morten; Skøien, Kristoffer Rist; Føre, Martin; Aas, Turid Synnøve; Oehme, Maike; Alfredsen, Jo Arve. Modelling of surface and 3D pellet distribution in Atlantic salmon (Salmo salar L.) cages. Aquacultural Engineering 2016 ;Volum 72-73. s. 20-29 http://dx.doi.org/10.1016/j.aquaeng.2016.03.003 The article is reprinted with kind permission from Elsevier, sciencedirect.com
Paper E: Skøien, Kristoffer Rist; Aas, Turid Synnøve; Alver, Morten; Romarheim, Odd Helge; Alfredsen, Jo Arve. Intrinsic settling rate and spatial diffusion properties of extruded fish feed pellets. Aquacultural Engineering 2016 ;Volum 74. s. 30-37 http://dx.doi.org/10.1016/j.aquaeng.2016.05.001 The article is reprinted with kind permission from Elsevier, sciencedirect.com
Paper F: Skøien, Kristoffer Rist; Alver, Morten; Lundregan, Sarah; Frank, Kevin; Alfredsen, Jo Arve. Effects of wind on surface feed distribution in sea cage aquaculture: A simulation study. I: Control Conference (ECC), 2016 European. IEEE 2017 s. 1291-1296 http://dx.doi.org/10.1109/ECC.2016.7810467 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Paper G: Skøien, Kristoffer Rist; Alver, Morten; Zolich, Artur Piotr; Alfredsen, Jo Arve. Feed spreaders in sea cage aquaculture – Motion characterization and measurement of spatial pellet distribution using an unmanned aerial vehicle. Computers and Electronics in Agriculture 2016 ;Volum 129. s. 27-36 http://dx.doi.org/10.1016/j.compag.2016.08.020 The article is reprinted with kind permission from Elsevier, sciencedirect.com
Paper H: Skøien, K. R., Alver, M. O., and Alfredsen, J. A. Modelling and simulation of rotary feed spreaders with application to sea cage aquaculture - a study of common and alternative designs
Paper I: Skøien, K. R., Alver, M. O., and Alfredsen, J. A. Optimizing feed delivery in salmon sea cage culture for growth and fish welfare - a simulation study
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spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2435195 2023-05-15T15:32:40+02:00 Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation Skøien, Kristoffer Rist Alfredsen, Jo Arve 2017 http://hdl.handle.net/11250/2435195 eng eng NTNU Doctoral theses at NTNU;2017:14 Paper A: Skøien, Kristoffer Rist; Alfredsen, Jo Arve. Feeding of large-scale fish farms: Motion characterization of a pneumatic rotor feed spreader. I: OCEANS'14 MTS/IEEE St. John's, 14-19 September. IEEE conference proceedings 2014 http://dx.doi.org/10.1109/OCEANS.2014.7003103 - © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Paper B: Skøien, Kristoffer Rist; Alver, Morten; Alfredsen, Jo Arve. A Computer Vision Approach for Detection and Quantification of Feed Particles in Marine Fish Farms. I: Image Processing (ICIP), 2014 IEEE International Conference on. IEEE Signal Processing Society 2014 s. 1648-1652 http://dx.doi.org/10.1109/ICIP.2014.7025330 © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Paper C: Skøien, Kristoffer Rist; Alver, Morten; Alfredsen, Jo Arve. Modelling spatial surface pellet distribution from rotary pneumatic feed spreaders. I: Control and Automation (MED), 2015 23th Mediterranean Conference on. IEEE conference proceedings 2015 ISBN 9781479999378. s. 883-888 http://dx.doi.org/10.1109/MED.2015.7158857 © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Paper D: Alver, Morten; Skøien, Kristoffer Rist; Føre, Martin; Aas, Turid Synnøve; Oehme, Maike; Alfredsen, Jo Arve. Modelling of surface and 3D pellet distribution in Atlantic salmon (Salmo salar L.) cages. Aquacultural Engineering 2016 ;Volum 72-73. s. 20-29 http://dx.doi.org/10.1016/j.aquaeng.2016.03.003 The article is reprinted with kind permission from Elsevier, sciencedirect.com Paper E: Skøien, Kristoffer Rist; Aas, Turid Synnøve; Alver, Morten; Romarheim, Odd Helge; Alfredsen, Jo Arve. Intrinsic settling rate and spatial diffusion properties of extruded fish feed pellets. Aquacultural Engineering 2016 ;Volum 74. s. 30-37 http://dx.doi.org/10.1016/j.aquaeng.2016.05.001 The article is reprinted with kind permission from Elsevier, sciencedirect.com Paper F: Skøien, Kristoffer Rist; Alver, Morten; Lundregan, Sarah; Frank, Kevin; Alfredsen, Jo Arve. Effects of wind on surface feed distribution in sea cage aquaculture: A simulation study. I: Control Conference (ECC), 2016 European. IEEE 2017 s. 1291-1296 http://dx.doi.org/10.1109/ECC.2016.7810467 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Paper G: Skøien, Kristoffer Rist; Alver, Morten; Zolich, Artur Piotr; Alfredsen, Jo Arve. Feed spreaders in sea cage aquaculture – Motion characterization and measurement of spatial pellet distribution using an unmanned aerial vehicle. Computers and Electronics in Agriculture 2016 ;Volum 129. s. 27-36 http://dx.doi.org/10.1016/j.compag.2016.08.020 The article is reprinted with kind permission from Elsevier, sciencedirect.com Paper H: Skøien, K. R., Alver, M. O., and Alfredsen, J. A. Modelling and simulation of rotary feed spreaders with application to sea cage aquaculture - a study of common and alternative designs Paper I: Skøien, K. R., Alver, M. O., and Alfredsen, J. A. Optimizing feed delivery in salmon sea cage culture for growth and fish welfare - a simulation study urn:isbn:978-82-326-2115-6 urn:issn:1503-8181 http://hdl.handle.net/11250/2435195 VDP::Technology: 500::Information and communication technology: 550::Technical cybernetics: 553 Doctoral thesis 2017 ftntnutrondheimi https://doi.org/10.1109/OCEANS.2014.7003103 https://doi.org/10.1109/ICIP.2014.7025330 https://doi.org/10.1109/MED.2015.7158857 https://doi.org/10.1016/j.aquaeng.2016.03.003 https://doi.org/10.1016/j.aquaeng.2016.05.001 https://doi.org/10.1109/EC 2019-09-17T06:52:18Z The objective of this thesis was to gain new insight into the process of feeding in large scale sea cage aquaculture and investigate novel methods of feeding in order to increase profitability, welfare and minimize environmental impact. Compared to livestock farming, Atlantic salmon (Salmo salar ) farming is a young industry which has experienced an almost exponential growth rate and the product continues to be in high demand. A single cage in Norway may contain more than a 1000 tonnes of fish in the form of 200.000 individuals. Such a figure is difficult to comprehend, but one may draw a parallel to the equivalent of 1600 cows inside a single cage. Feeding of fish kept in sea cages is a complicated endeavour compared to land based farming for a number of reasons. Thousands of individuals co-exist in a single three-dimensional dynamic space, observation is restricted to surface inspections or a submerged camera with limited field of view, feed can not be given to a specific fish and the location of feed is difficult to predict as a consequence of currents and fish induced turbulence. In addition, feed which is not consumed from the time it is distributed over the surface to it passes through the cage represents a direct economic loss and acts as an unnecessary nutrient discharge to the environment. Over 10.000 kg of feed may be administered to a single cage towards the end of a production cycle and is the single largest cost in Norwegian salmon farming. Even though the process of feeding is a complicated one, the systems used to distribute feed are simple. Significant effort has been made in determining the ration size, meal frequency and at what time of day Atlantic salmon should be fed. This thesis looks into the temporal feed availability on a meal to meal basis and goes into depth with respect to the spatial availability of feed within the sea cage. Many studies on a smaller scale indicate that spatially and temporally restrictive feeding may lead to unequal feed accessibility, loss of growth potential and elevated levels of aggression. With respect to controlling the spatial distribution of feed, it has been shown that current methods cover a small area of the cage surface. In addition, existing methods have limited ability to increase the feed distribution without exhibiting other detrimental effects such as increased pellet breakage. There is also no way of controlling where feed is placed as a consequence of wind or currents. Experimental results are presented to better understand the dynamics of a feed spreader, a model has been developed and the performance of different spreader designs investigated. Further experimental results for settling rate and diffusion of pellets are presented and have been used to parametrize a full sea cage model. This model enables simulation of environmental factors, feeding methods and fish to predict the effect on central production parameters. Finally, using these two models, different feeding regimes are simulated and the consequent effects on spatiotemporal feed distribution, feed intake and feed loss are commented upon. It is likely that by increased use of environmental measurements run through feed distribution models and having more adaptable methods of feed placement, one can in the future minimize the environmental impact whilst maintaining high growth rates and good fish welfare. Doctoral or Postdoctoral Thesis Atlantic salmon Salmo salar NTNU Open Archive (Norwegian University of Science and Technology) Endeavour ENVELOPE(162.000,162.000,-76.550,-76.550) Norway 2014 Oceans - St. John's 1 7