Comparative study of photovoltaic thermal (PVT) integrated thermoelectric cooler (TEC) fluid collectors. (April 2019)
- Record Type:
- Journal Article
- Title:
- Comparative study of photovoltaic thermal (PVT) integrated thermoelectric cooler (TEC) fluid collectors. (April 2019)
- Main Title:
- Comparative study of photovoltaic thermal (PVT) integrated thermoelectric cooler (TEC) fluid collectors
- Authors:
- Dimri, Neha
Tiwari, Arvind
Tiwari, G.N. - Abstract:
- Abstract: In this research, photovoltaic thermal integrated thermoelectric cooler (PVT-TEC) collector has been analyzed, considering three different types of PV modules, namely opaque, semitransparent and Aluminium base. The analysis is based on two models namely, thermal model and artificial neural network (ANN) model. The advantage of ANN model is that it does not require several parameters and complex calculations, unlike thermal model. The performance of opaque PVT-TEC collector [Case 1] has been studied by considering air [Case 1a] and water [Case 1b] as working fluids. The overall electrical efficiency and thermal efficiency of [Case 1b] is greater than [Case 1a] by 1.9–2.8% and 20.8–21.8%, respectively. Also, the impact of base cover material of PV module has been discussed by evaluating and comparing the performances of [Case 1b] opaque PVT-TEC water collector, [Case 2] semitransparent PVT-TEC water collector and [Case 3] Aluminium base PVT-TEC water collector. The results demonstrate that the daily overall electrical energy gain, daily rate of thermal energy gain and daily overall exergy gain is the highest for [Case 3] Aluminium base PVT-TEC water collector. Further, the results calculated from thermal model have been compared with ANN model and a fair agreement has been achieved. Highlights: PVT-TEC fluid collectors have been examined based on thermal model and ANN model. The electrical and thermal efficiencies of opaque PVT-TEC air and water collectors have beenAbstract: In this research, photovoltaic thermal integrated thermoelectric cooler (PVT-TEC) collector has been analyzed, considering three different types of PV modules, namely opaque, semitransparent and Aluminium base. The analysis is based on two models namely, thermal model and artificial neural network (ANN) model. The advantage of ANN model is that it does not require several parameters and complex calculations, unlike thermal model. The performance of opaque PVT-TEC collector [Case 1] has been studied by considering air [Case 1a] and water [Case 1b] as working fluids. The overall electrical efficiency and thermal efficiency of [Case 1b] is greater than [Case 1a] by 1.9–2.8% and 20.8–21.8%, respectively. Also, the impact of base cover material of PV module has been discussed by evaluating and comparing the performances of [Case 1b] opaque PVT-TEC water collector, [Case 2] semitransparent PVT-TEC water collector and [Case 3] Aluminium base PVT-TEC water collector. The results demonstrate that the daily overall electrical energy gain, daily rate of thermal energy gain and daily overall exergy gain is the highest for [Case 3] Aluminium base PVT-TEC water collector. Further, the results calculated from thermal model have been compared with ANN model and a fair agreement has been achieved. Highlights: PVT-TEC fluid collectors have been examined based on thermal model and ANN model. The electrical and thermal efficiencies of opaque PVT-TEC air and water collectors have been compared. The effect of base cover material of PV module has been discussed. The results obtained from ANN model have been compared with thermal model. … (more)
- Is Part Of:
- Renewable energy. Volume 134(2019)
- Journal:
- Renewable energy
- Issue:
- Volume 134(2019)
- Issue Display:
- Volume 134, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 134
- Issue:
- 2019
- Issue Sort Value:
- 2019-0134-2019-0000
- Page Start:
- 343
- Page End:
- 356
- Publication Date:
- 2019-04
- Subjects:
- Solar thermoelectric cooler -- Modelling -- Artificial neural network -- Photovoltaic thermal -- Solar energy
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09601481 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-energy/ ↗ - DOI:
- 10.1016/j.renene.2018.10.105 ↗
- Languages:
- English
- ISSNs:
- 0960-1481
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.187000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9399.xml