Advances in Recirculating and Sustainable Aquaculture Systems

A special issue of Fishes (ISSN 2410-3888). This special issue belongs to the section "Sustainable Aquaculture".

Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 7652

Special Issue Editors


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Guest Editor
Production Advisory Services, AKVA Group ASA, Plogfabrikkvegen 11, N-4353 Klepp Stasjon, Norway
Interests: recirculating aquaculture systems; fish performance; water quality; feed and feeding; aquaponics; biological water treatment; ozonation; protein skimmers; precision farming; effects of light and environmental factors on fish biology; nutrient dynamics; system modeling; hatchery

E-Mail Website
Guest Editor
Production Biology, The Norwegian Institute of Food, Fisheries and Aquaculture Research, Muninbakken 9-13, Breivika, 9019 Tromsø, Norway
Interests: aquaculture technologies development; fish physiology; water quality

Special Issue Information

Dear Colleagues,

The Special Issue, titled "Advances in Recirculating and Sustainable Aquaculture Systems", aims to provide a comprehensive overview of the recent developments in the field of aquaculture, focusing specifically on recirculating systems and sustainability practices. The primary objective is to highlight innovative technologies, methodologies, and approaches that contribute to the advancement of environmentally friendly and economically viable aquaculture. This Special Issue will explore a range of topics, including system design, water quality management, energy efficiency, waste reduction, and the integration of emerging technologies. By addressing these aspects, the Special Issue seeks to bridge gaps in the existing literature and offer valuable insights for researchers, practitioners, and policymakers engaged in the sustainable development of aquaculture. Emphasizing both the theoretical underpinnings and practical applications, the collection of articles will contribute to a deeper understanding of the challenges and opportunities in enhancing the sustainability of aquaculture systems.

Dr. Sebastian Marcus Strauch
Dr. Kevin Torben Stiller
Guest Editors

Manuscript Submission Information

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Keywords

  • aquaculture technology
  • closed-loop systems
  • sustainable practices
  • cutting-edge innovations
  • environmental stewardship
  • water quality management
  • energy-efficient solutions
  • system optimization
  • waste minimization
  • emerging aquaculture technologies

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Published Papers (3 papers)

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Research

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14 pages, 2494 KiB  
Article
Virtual Sensing of Nitrite: A Novel Control for Safe Denitrification in Recirculating Aquaculture Systems (RASs)
by Anneliese Ernst, Christian Steinbach, Kai Wagner and Uwe Waller
Fishes 2024, 9(10), 398; https://doi.org/10.3390/fishes9100398 - 1 Oct 2024
Cited by 1 | Viewed by 3590
Abstract
Recirculating aquaculture system (RAS) technology is seen worldwide as a solution for sustainable fish production. However, there are still deficiencies in the process technology imperiling consistent operation and thus economic results. Drawbacks are linked to essential processes of the water treatment systems such [...] Read more.
Recirculating aquaculture system (RAS) technology is seen worldwide as a solution for sustainable fish production. However, there are still deficiencies in the process technology imperiling consistent operation and thus economic results. Drawbacks are linked to essential processes of the water treatment systems such as denitrification. Nitrogenous waste needs to be removed from RAS process water to maintain an adequate production environment for fish and to mitigate the environmental impact of discharged process water. At present, denitrification lacks reliable process control, especially regarding the organic carbon feed to heterotrophic denitrification processes. An investigation into heterotrophic denitrification in an experimental RAS resulted in the discovery of a virtual sensor based on measurements of the oxidation reduction potential (ORP). The virtual sensor responds to an insufficient carbon feed to denitrification. It is based on the oxidation of nitrite in an ozone-enhanced foam flotation installed downstream of the denitrification. The sensor essentially delivers a binary signal denoting either a complete or an incomplete denitrification process. The virtual sensor can be used for reliably controlling heterotrophic denitrification. It requires an upgraded process chain employing ozone-enhanced foam flotation (protein skimmer) downstream of the denitrification. However, the virtual sensor does not require any additional instrumentation. Full article
(This article belongs to the Special Issue Advances in Recirculating and Sustainable Aquaculture Systems)
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13 pages, 9028 KiB  
Article
Rapid Real-Time Prediction Techniques for Ammonia and Nitrite in High-Density Shrimp Farming in Recirculating Aquaculture Systems
by Fudi Chen, Tianlong Qiu, Jianping Xu, Jiawei Zhang, Yishuai Du, Yan Duan, Yihao Zeng, Li Zhou, Jianming Sun and Ming Sun
Fishes 2024, 9(10), 386; https://doi.org/10.3390/fishes9100386 - 28 Sep 2024
Cited by 4 | Viewed by 1511
Abstract
Water quality early warning is a key aspect in industrial recirculating aquaculture systems for high-density shrimp farming. The concentrations of ammonia nitrogen and nitrite in the water significantly impact the cultured animals and are challenging to measure in real-time, posing a substantial challenge [...] Read more.
Water quality early warning is a key aspect in industrial recirculating aquaculture systems for high-density shrimp farming. The concentrations of ammonia nitrogen and nitrite in the water significantly impact the cultured animals and are challenging to measure in real-time, posing a substantial challenge to water quality early warning technology. This study aims to collect data samples using low-cost water quality sensors during the industrial recirculating aquaculture process and to construct predictive values for ammonia nitrogen and nitrite, which are difficult to obtain through sensors in the aquaculture environment, using data prediction techniques. This study employs various machine learning algorithms, including General Regression Neural Network (GRNN), Deep Belief Network (DBN), Long Short-Term Memory (LSTM), and Support Vector Machine (SVM), to build predictive models for ammonia nitrogen and nitrite. The accuracy of the models is determined by comparing the predicted values with the actual values, and the performance of the models is evaluated using Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RMSE) metrics. Ultimately, the optimized GRNN-based predictive model for ammonia nitrogen concentration (MAE = 0.5915, MAPE = 28.95%, RMSE = 0.7765) and the nitrite concentration predictive model (MAE = 0.1191, MAPE = 29.65%, RMSE = 0.1904) were selected. The models can be integrated into an Internet of Things system to analyze the changes in ammonia nitrogen and nitrite concentrations over time through aquaculture management and routine water quality conditions, thereby achieving the application of recirculating aquaculture system water environment early warning technology. Full article
(This article belongs to the Special Issue Advances in Recirculating and Sustainable Aquaculture Systems)
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Review

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39 pages, 109622 KiB  
Review
A Critical Assessment of the Process and Logic Behind Fish Production in Marine Recirculating Aquaculture Systems
by Uwe Waller
Fishes 2024, 9(11), 431; https://doi.org/10.3390/fishes9110431 - 25 Oct 2024
Cited by 1 | Viewed by 1850
Abstract
A recirculating aquaculture system (RAS) represents a forward-looking form of aquaculture. A RAS consists of fish tanks and water treatment processes in a closed loop to sustain the environmental conditions for fish production. However, the rapid industrialization of the technology is fraught with [...] Read more.
A recirculating aquaculture system (RAS) represents a forward-looking form of aquaculture. A RAS consists of fish tanks and water treatment processes in a closed loop to sustain the environmental conditions for fish production. However, the rapid industrialization of the technology is fraught with transfer problems. This review justifies a RAS process chain based on fish biology. The underlying concept has been evaluated by the author in experimental and commercial RAS projects. The core idea is that the fish must be considered as a technical subcomponent in a RAS, determining the technology. Fish, when considered as small biological machines, are still a black box in many ways. However, their basic biology and physiology provide all the knowledge to implement them in a technical setting. The information required to understand this concept is presented and discussed based on current scientific knowledge. The conclusion is that the technology is available but needs to be rigorously implemented. If this were carried out, fish production in RASs would be ecologically sustainable, which is already claimed for RASs but is not always the reality in commercial applications. Full article
(This article belongs to the Special Issue Advances in Recirculating and Sustainable Aquaculture Systems)
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