Characterization of the solar drying of Tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis

Microalgae is one of the most promising sources of biofuel, but its high initial moisture content remains a hindrance to efficient lipid extraction. According to Halim, et al. (2011), the lipid yield of dried microalgae is 33% higher than wet microalgae using hexane extraction. In this study, Tetras...

Full description

Saved in:
Bibliographic Details
Main Authors: Lopez, Neil Stephen A., Ubando, Aristotle T., Biona, Jose Bienvenido Manuel M., Tan, Raymond Girard R., Culaba, Alvin B., Garibay, Soledad S., Toledo, Nieves A., Jimenez, Caridad N., Pahila, Ida G., Ami, Letty S.
Format: text
Published: Animo Repository 2012
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/6615
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-7491
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-74912022-09-02T00:48:51Z Characterization of the solar drying of Tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis Lopez, Neil Stephen A. Ubando, Aristotle T. Biona, Jose Bienvenido Manuel M. Tan, Raymond Girard R. Culaba, Alvin B. Garibay, Soledad S. Toledo, Nieves A. Jimenez, Caridad N. Pahila, Ida G. Ami, Letty S. Microalgae is one of the most promising sources of biofuel, but its high initial moisture content remains a hindrance to efficient lipid extraction. According to Halim, et al. (2011), the lipid yield of dried microalgae is 33% higher than wet microalgae using hexane extraction. In this study, Tetraselmis sp. was dried using a laboratory-scale set up simulating a solar dryer. The direct radiation (Qr), air flow rate (V1) and convective heat input to the inlet air (Qci) were the control variables. Statistical analysis showed that Qr is limited by the chamber temperature, which is largely controlled by Qci. With regards to Vf, increasing its results to less energy-efficient drying. As a conclusion, it can be derived that the drying rate is best at high Qci and low Vf. Also, Qr significantly improves the drying rate. Finally, when modeling drying rate, it is best to describe it as a function of chamber temperature and mass flow rate instead of Vf and heat input. 2012-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/6615 Faculty Research Work Animo Repository Microalgae—Drying Solar heating—Equipment and supplies Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Microalgae—Drying
Solar heating—Equipment and supplies
Engineering
spellingShingle Microalgae—Drying
Solar heating—Equipment and supplies
Engineering
Lopez, Neil Stephen A.
Ubando, Aristotle T.
Biona, Jose Bienvenido Manuel M.
Tan, Raymond Girard R.
Culaba, Alvin B.
Garibay, Soledad S.
Toledo, Nieves A.
Jimenez, Caridad N.
Pahila, Ida G.
Ami, Letty S.
Characterization of the solar drying of Tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis
description Microalgae is one of the most promising sources of biofuel, but its high initial moisture content remains a hindrance to efficient lipid extraction. According to Halim, et al. (2011), the lipid yield of dried microalgae is 33% higher than wet microalgae using hexane extraction. In this study, Tetraselmis sp. was dried using a laboratory-scale set up simulating a solar dryer. The direct radiation (Qr), air flow rate (V1) and convective heat input to the inlet air (Qci) were the control variables. Statistical analysis showed that Qr is limited by the chamber temperature, which is largely controlled by Qci. With regards to Vf, increasing its results to less energy-efficient drying. As a conclusion, it can be derived that the drying rate is best at high Qci and low Vf. Also, Qr significantly improves the drying rate. Finally, when modeling drying rate, it is best to describe it as a function of chamber temperature and mass flow rate instead of Vf and heat input.
format text
author Lopez, Neil Stephen A.
Ubando, Aristotle T.
Biona, Jose Bienvenido Manuel M.
Tan, Raymond Girard R.
Culaba, Alvin B.
Garibay, Soledad S.
Toledo, Nieves A.
Jimenez, Caridad N.
Pahila, Ida G.
Ami, Letty S.
author_facet Lopez, Neil Stephen A.
Ubando, Aristotle T.
Biona, Jose Bienvenido Manuel M.
Tan, Raymond Girard R.
Culaba, Alvin B.
Garibay, Soledad S.
Toledo, Nieves A.
Jimenez, Caridad N.
Pahila, Ida G.
Ami, Letty S.
author_sort Lopez, Neil Stephen A.
title Characterization of the solar drying of Tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis
title_short Characterization of the solar drying of Tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis
title_full Characterization of the solar drying of Tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis
title_fullStr Characterization of the solar drying of Tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis
title_full_unstemmed Characterization of the solar drying of Tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis
title_sort characterization of the solar drying of tetraselmis sp. for biofuel production using a laboratory-scale setup and statistical analysis
publisher Animo Repository
publishDate 2012
url https://animorepository.dlsu.edu.ph/faculty_research/6615
_version_ 1767196594593071104