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Modelling and optimization of modular system for power generation from a salinity gradient
- Source :
- Renewable Energy. 141:139-147
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Pressure retarded osmosis has been proposed for power generation from a salinity gradient resource. The process has been promoted as a promising technology for power generation from renewable resources, but most of the experimental work has been done on a laboratory size units. To date, pressure retarded osmosis optimization and operation is based on parametric studies performed on laboratory scale units, which leaves a gap in our understanding of the process behaviour in a full-scale modular system. A computer model has been developed to predict the process performance. Process modelling was performed on a full-scale membrane module and impact of key operating parameters such as hydraulic feed pressure and feed and draw solution rates were evaluated. Results showed that the optimum fraction of feed/draw solution in a mixture is less than what has been earlier proposed ratio of 50% and it is entirely dependent on the salinity gradient resource concentration. Furthermore, the optimized pressure retarded osmosis process requires a hydraulic pressure less than that in the normal (unoptimized) process. The results here demonstrate that the energy output from the optimized pressure regarded osmosis process is up to 54% higher than that in the normal (unoptimized) process.
- Subjects :
- Process modeling
060102 archaeology
Renewable Energy, Sustainability and the Environment
business.industry
020209 energy
Pressure-retarded osmosis
Process (computing)
06 humanities and the arts
02 engineering and technology
Osmosis
Renewable energy
Membrane technology
Electricity generation
0202 electrical engineering, electronic engineering, information engineering
Environmental science
0601 history and archaeology
Process optimization
business
Process engineering
Subjects
Details
- ISSN :
- 09601481
- Volume :
- 141
- Database :
- OpenAIRE
- Journal :
- Renewable Energy
- Accession number :
- edsair.doi...........5415649ed9b9bf0d698bcdfbd27c55ef