• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.60 no.2
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• pp.194-206
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• 2024

This study focuses on analyzing the energy-saving effects of the recirculation aquaculture system using seawater source heat pumps and solar power generation. Based on the thermal load analysis conducted using the transient system simulation tool, the annual energy consumption of the recirculation aquaculture system was analyzed and the energy-saving effects of utilizing the photovoltaic system was evaluated. When analyzing the heat load, the sea areas where the fish farms are located, the type of breeding tank, and the circulation rate of breeding water were taken into consideration. In addition, a method for determining the appropriate capacity for each operation time was examined when applying the energy storage system instead of the existing diesel generator as an emergency power, which is required to maintain the water temperature of breeding water during power outage. The results suggest that, among the four seas considered, Jeju should be estimated to achieve the highest energy-saving performance using the solar power generation, with approximately 45% energy savings.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.60 no.1
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• pp.87-99
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• 2024

This study deals with the application of an artificial neural network (ANN) model to predict power consumption for utilizing seawater source heat pumps of recirculating aquaculture system. An integrated dynamic simulation model was constructed using the TRNSYS program to obtain input and output data for the ANN model to predict the power consumption of the recirculating aquaculture system with a heat pump system. Data obtained from the TRNSYS program were analyzed using linear regression, and converted into optimal data necessary for the ANN model through normalization. To optimize the ANN-based power consumption prediction model, the hyper parameters of ANN were determined using the Bayesian optimization. ANN simulation results showed that ANN models with optimized hyper parameters exhibited acceptably high predictive accuracy conforming to ASHRAE standards.

• 보일러설비
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• s.74
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• pp.98-99
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• 2000

• Journal of Korea Fishing Vessel Association
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• v.34
• /
• pp.26-35
• /
• 1988

• The KSFM Journal of Fluid Machinery
• /
• v.6 no.4 s.21
• /
• pp.86-93
• /
• 2003

• 기계와재료
• /
• v.5 no.3 s.17
• /
• pp.142-160
• /
• 1993

• Air Cleaning Technology
• /
• v.15 no.2 s.57
• /
• pp.59-61
• /
• 2002

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
• /
• v.40 no.12
• /
• pp.132-137
• /
• 2011

• Superconductivity and Cryogenics
• /
• v.14 no.1
• /
• pp.10-14
• /
• 2012

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
• /
• v.35 no.9
• /
• pp.30-43
• /
• 2006