Simulation and model validation of sheet and tube type photovoltaic thermal solar system and conventional solar collecting system in transient states

Bhattarai, Sujala; Oh, Jung-Kwon; Euh, Seung-Hee; Kafle, Gopi Krishna; Kim, Dae Hyun

doi:10.1016/j.solmat.2012.04.017

Cited by 183 publications

(58 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The predicted biogas production obtained from the SPSS program was plotted with the measured biogas production using Matlab software R2011b (7.13.0.564). The statistical indicators R 2 and root mean square error (RMSE) were calculated (Bhattarai, et al, 2012a;Bhattarai, et al, 2012b): …”

Section: Kinetic Modelingmentioning

confidence: 99%

Evaluation of the Biogas Productivity Potential of Fish Waste: A Lab Scale Batch Study

Kafle¹,

Kim²

2012

Journal of Biosystems Engineering

View full text Add to dashboard Cite

Purpose:The biogas productivity potential of fish waste (FW) was evaluated. Methods: Batch trials were carried out in 1.3 L glass digesters kept in a temperature controlled chambers at 36.5˚C. The first order kinetic model and the modified Gompertz model were evaluated for biogas production. The Chen and Hashimoto model was used to determine the critical hydraulic retention time (HRT Critical) for FW under mesophilic conditions. The feasibility of co-digestion of FW with animal manure was studied. Results: The biogas and methane potential of FW was found to be 757 and 554 mL/g VS, respectively. The methane content in the biogas produced from FW was found to be 73% and VS removal was found to be 77%. There was smaller difference between measured and predicted biogas production when using the modified Gompertz model (16.5%) than using first order kinetic model (31%). The time period for 80%-90% of biogas production (T80-90) from FW was calculated to be 50.3-53.5 days. Similarly, the HRT Critical for FW was calculated to be 13 days under mesophilic conditions. The methane production from swine manure (SM) and cow manure (CM) digesters could be enhanced by 13%-115% and 17%-152% by mixing 10%-90% of FW with SM and CM, respectively. Conclusions: The FW was found to be highly potential substrate for anaerobic digestion for biogas production. The modified Gompertz model could be more appropriate in describing anaerobic digestion process of FW. It could be promising for co-digestion of FW with animal manure.

show abstract

Section: Kinetic Modelingmentioning

confidence: 99%

Evaluation of the Biogas Productivity Potential of Fish Waste: A Lab Scale Batch Study

Kafle¹,

Kim²

2012

Journal of Biosystems Engineering

View full text Add to dashboard Cite

show abstract

“…Total exergy efficiency values (thermal and electrical) of CuO/water and of Al 2 O 3 / water were estimated using (18). According to Bejan's narrative [29], the maximum power output is inversely associated with the entropy generation of the solar system.…”

Section: Resultsmentioning

confidence: 99%

“…The conductive heat transfer coefficient between the PV laminate and the tube can be expressed using the following correlation [18]:…”

Section: Energy Balance For Fluidmentioning

confidence: 99%

See 1 more Smart Citation

Performance Optimization of Unglazed Nanofluid Photovoltaic/Thermal System: Energy and Exergy Analyses

Hussain

Kim

2018

International Journal of Photoenergy

View full text Add to dashboard Cite

The focus of this paper is to predict the transient response of a nanoengineered photovoltaic thermal (PV/T) system in view of energy and exergy analyses. Instead of a circular-shaped receiver, a trapezoidal-shaped receiver is employed to increase heat transfer surface area with photovoltaic (PV) cells for improvement of heat extraction and thus achievement of a higher PV/T system efficiency. The dynamic mathematical model is developed using MATLAB® software by considering real-time heat transfer coefficients. The proposed model is validated with experimental data from a previous study. Negligible discrepancies were found between measured and predicted data. The validated model was further investigated in detail using different nanofluids by dispersing copper oxide (CuO) and aluminum oxide (Al 2 O 3 ) in pure water. The overall performance of the nanoengineered PV/T system was compared to that of a PV/T system using water only, and optimal operating conditions were determined for maximum useful energy and exergy rates. The results indicated that the CuO/water nanofluid has a notable impact on the energy and exergy efficiencies of the PV/T system compared to that of Al 2 O 3 /water nanofluid and water only cases.

show abstract

“…As for the PV/T produced thermal energy is used to heat seawater so as to increase the efficiency of (RO) desalination process [15]. Different PV/T configurations and plants are studied and modeled [16]. PV/T modeling aims essentially to quantify the produced electric and thermal energies.…”

Section: Introductionmentioning

confidence: 99%

Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller

Ammous¹,

Charfi²,

Harb³

et al. 2016

IJMNTA

View full text Add to dashboard Cite

Photovoltaic based reverse osmosis desalination systems (PV/RO) present an effective method of water desalination especially in remote areas. The increase of the feed water temperature leads to an amelioration of the plant performances. Photovoltaic Thermal Collector (PV/T) represents an ideal power source as it provides both electric and thermal energies for the reverse osmosis process. Nevertheless, PV/T based RO plants should be controlled in order to solve operation problems related to electrical efficiency, reverse osmosis membrane, produced water and the rejected salts. This paper suggests a fuzzy logic controller for the flow rate of the circulating fluid into the PV/T collectors so as to ameliorate the system performances. The designed controller has improved the PV/T field electrical efficiency and preserved the reverse osmosis membrane which upgrades the system productivity. LABVIEW software is used to simulate the controlled system and validate the effectiveness of the controller.

show abstract

Simulation and model validation of sheet and tube type photovoltaic thermal solar system and conventional solar collecting system in transient states

Cited by 183 publications

References 20 publications

Evaluation of the Biogas Productivity Potential of Fish Waste: A Lab Scale Batch Study

Evaluation of the Biogas Productivity Potential of Fish Waste: A Lab Scale Batch Study

Performance Optimization of Unglazed Nanofluid Photovoltaic/Thermal System: Energy and Exergy Analyses

Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller

Contact Info

Product

Resources

About