Maximum efficiency point tracking for an ocean thermal energy harvesting system. (20th January 2020)
- Record Type:
- Journal Article
- Title:
- Maximum efficiency point tracking for an ocean thermal energy harvesting system. (20th January 2020)
- Main Title:
- Maximum efficiency point tracking for an ocean thermal energy harvesting system
- Authors:
- Xia, Qingchao
Chen, Yanhu
Yang, Canjun
Chen, Bingzhe
Muhammad, Gul
Ma, Xiaoxia - Abstract:
- Summary: Limited energy is the most critical factor that restricts the persistent presence of underwater vehicles in the oceans; thus, harvesting the ocean's thermal energy that is stored in the water column between the sea surface and deep water is a particularly promising solution for the current power shortage. This paper has designed a new ocean thermal energy conversion system which using phase change material as energy storage medium, and proposed a novel maximum efficiency point tracking (MEPT) method for energy conversion. This new method, which is integrated with a radial basis function neural network (RBFNN), particle swarm optimization (PSO) and the proportion integration differentiation (PID) control method, could effectively improve the efficiency of energy conversion. Compared with the power generation system that does not use the MEPT method, experimental results show that the proposed method can improve the efficiency of the power generation from less than 19.05% to more than 34.3% and has higher stability (using this method: the efficiency changes from 34.3%‐34.7%; without using this method: the efficiency changes from 13.56% ‐19.05%) when the load changes. This novel method can be used in many conditions, especially when the mathematical model of the generation system is unknown or researchers want to use fewer sensors for maximum efficiency point tracking. Abstract : This paper has designed a new ocean thermal energy conversion system which using phaseSummary: Limited energy is the most critical factor that restricts the persistent presence of underwater vehicles in the oceans; thus, harvesting the ocean's thermal energy that is stored in the water column between the sea surface and deep water is a particularly promising solution for the current power shortage. This paper has designed a new ocean thermal energy conversion system which using phase change material as energy storage medium, and proposed a novel maximum efficiency point tracking (MEPT) method for energy conversion. This new method, which is integrated with a radial basis function neural network (RBFNN), particle swarm optimization (PSO) and the proportion integration differentiation (PID) control method, could effectively improve the efficiency of energy conversion. Compared with the power generation system that does not use the MEPT method, experimental results show that the proposed method can improve the efficiency of the power generation from less than 19.05% to more than 34.3% and has higher stability (using this method: the efficiency changes from 34.3%‐34.7%; without using this method: the efficiency changes from 13.56% ‐19.05%) when the load changes. This novel method can be used in many conditions, especially when the mathematical model of the generation system is unknown or researchers want to use fewer sensors for maximum efficiency point tracking. Abstract : This paper has designed a new ocean thermal energy conversion system which using phase change material as energy storage medium, and established a novel RBFNN‐PSO‐PID‐based maximum efficiency point tracking (MEPT) method for energy conversion. An experimental platform was built and the experimental study confirmed that this novel MEPT method can improve the efficiency of power generation significantly. … (more)
- Is Part Of:
- International journal of energy research. Volume 44:Number 4(2020)
- Journal:
- International journal of energy research
- Issue:
- Volume 44:Number 4(2020)
- Issue Display:
- Volume 44, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 44
- Issue:
- 4
- Issue Sort Value:
- 2020-0044-0004-0000
- Page Start:
- 2693
- Page End:
- 2703
- Publication Date:
- 2020-01-20
- Subjects:
- ocean thermal energy -- fixed initial energy -- hydraulic power generation system -- maximum efficiency point tracking (MEPT) -- current control -- artificial neural network
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Power resources -- Research -- Periodicals
621.042 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/er.5055 ↗
- Languages:
- English
- ISSNs:
- 0363-907X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.236000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13148.xml