Application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: A case study in the Philippines

Microalgae are considered as one of the promising advanced biomass feedstock for biofuel production offering higher oil yield per land area. The archipelagic nature of the Philippine and its tropical climate provide a thriving habitat for numerous microalgal species. The strategic deployment of alga...

Full description

Saved in:
Bibliographic Details
Main Authors: Ubando, Aristotle T., Promentilla, Michael Angelo B., Culaba, Alvin B., Tan, Raymond Girard R.
Format: text
Published: Animo Repository 2016
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1664
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2663/type/native/viewcontent
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-2663
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-26632021-07-14T01:44:23Z Application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: A case study in the Philippines Ubando, Aristotle T. Promentilla, Michael Angelo B. Culaba, Alvin B. Tan, Raymond Girard R. Microalgae are considered as one of the promising advanced biomass feedstock for biofuel production offering higher oil yield per land area. The archipelagic nature of the Philippine and its tropical climate provide a thriving habitat for numerous microalgal species. The strategic deployment of algal cultivation sites in the country require a multi-criteria decision analysis based on available natural resources, social aspect, installed plants, and fuel demand per region. Hence, a spatial analytic hierarchy process was proposed to select potential cultivation regional sites in the Philippines. Due to the limiting attribute of the available natural resources and climactic type in each region, in this study, the available natural resources criterion was given more weight compared to other criteria. The results revealed that the preferred cultivation sites for the Philippines' group of islands were Region IV-A for Luzon, Region VII for Visayas, and Region XII for Mindanao. Future work includes the use of geographic information system coupled with analytic hierarchy process in identifying specific potential cultivation sites per region. © 2015 IEEE. 2016-01-25T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1664 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2663/type/native/viewcontent Faculty Research Work Animo Repository Microalgae--Philippines Algal biofuels--Philipines Multiple criteria decision making Spatial ecology--Philippines
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--Philippines
Algal biofuels--Philipines
Multiple criteria decision making
Spatial ecology--Philippines
spellingShingle Microalgae--Philippines
Algal biofuels--Philipines
Multiple criteria decision making
Spatial ecology--Philippines
Ubando, Aristotle T.
Promentilla, Michael Angelo B.
Culaba, Alvin B.
Tan, Raymond Girard R.
Application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: A case study in the Philippines
description Microalgae are considered as one of the promising advanced biomass feedstock for biofuel production offering higher oil yield per land area. The archipelagic nature of the Philippine and its tropical climate provide a thriving habitat for numerous microalgal species. The strategic deployment of algal cultivation sites in the country require a multi-criteria decision analysis based on available natural resources, social aspect, installed plants, and fuel demand per region. Hence, a spatial analytic hierarchy process was proposed to select potential cultivation regional sites in the Philippines. Due to the limiting attribute of the available natural resources and climactic type in each region, in this study, the available natural resources criterion was given more weight compared to other criteria. The results revealed that the preferred cultivation sites for the Philippines' group of islands were Region IV-A for Luzon, Region VII for Visayas, and Region XII for Mindanao. Future work includes the use of geographic information system coupled with analytic hierarchy process in identifying specific potential cultivation sites per region. © 2015 IEEE.
format text
author Ubando, Aristotle T.
Promentilla, Michael Angelo B.
Culaba, Alvin B.
Tan, Raymond Girard R.
author_facet Ubando, Aristotle T.
Promentilla, Michael Angelo B.
Culaba, Alvin B.
Tan, Raymond Girard R.
author_sort Ubando, Aristotle T.
title Application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: A case study in the Philippines
title_short Application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: A case study in the Philippines
title_full Application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: A case study in the Philippines
title_fullStr Application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: A case study in the Philippines
title_full_unstemmed Application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: A case study in the Philippines
title_sort application of spatial analytic hierarchy process in the selection of algal cultivation site for biofuel production: a case study in the philippines
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/1664
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2663/type/native/viewcontent
_version_ 1707058769850007552