Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents
As efforts to achieve Net Zero are intensifying, there is a strong need to identify the technological positioning of green process innovations that can support the green energy transition. A veritable contender to support these efforts is the hydrothermal biomass processing technology. This process...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022020266 |
| _version_ | 1811206359343955968 |
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| author | Silviu Florin Acaru Rosnah Abdullah Daphne Teck Ching Lai Ren Chong Lim |
| author_facet | Silviu Florin Acaru Rosnah Abdullah Daphne Teck Ching Lai Ren Chong Lim |
| author_sort | Silviu Florin Acaru |
| collection | DOAJ |
| description | As efforts to achieve Net Zero are intensifying, there is a strong need to identify the technological positioning of green process innovations that can support the green energy transition. A veritable contender to support these efforts is the hydrothermal biomass processing technology. This process innovation comprises diverse techniques that can convert biomass substrates into valuable low-carbon fuels. Coordination across all available conversion approaches is encouraged to propel the application of those that consider the environmental and sustainability impacts. We assessed the innovation intensity for different techniques under this green process innovation through applying natural language processing and deployment of principal component analysis on patent data. We positioned our techniques within four distinctive groups (intense, dormant, emerging, and exploratory). In this way, we tracked which hydrothermal technique currently dominates international applications and which ones are gaining traction in the future. |
| first_indexed | 2024-04-12T03:46:07Z |
| format | Article |
| id | doaj.art-276f86da15364c20a8e648dbfc7383de |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-12T03:46:07Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-276f86da15364c20a8e648dbfc7383de2022-12-22T03:49:07ZengElsevierHeliyon2405-84402022-09-0189e10738Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patentsSilviu Florin Acaru0Rosnah Abdullah1Daphne Teck Ching Lai2Ren Chong Lim3Centre for Advanced Material and Energy Sciences (CAMES), Universiti Brunei Darussalam, Jalan Tungku Link, BE1410 Brunei Darussalam; Corresponding author.Centre for Advanced Material and Energy Sciences (CAMES), Universiti Brunei Darussalam, Jalan Tungku Link, BE1410 Brunei Darussalam; Faculty of Science (FOS), Universiti Brunei Darussalam, Jalan Tungku Link, BE1410 Brunei DarussalamSchool of Digital Science, Universiti Brunei Darussalam, Jalan Tungku Link, BE1410 Brunei Darussalam; Institute of Applied Data Analytics (IADA), Universiti Brunei Darussalam, Jalan Tungku Link, BE1410 Brunei DarussalamCentre for Advanced Material and Energy Sciences (CAMES), Universiti Brunei Darussalam, Jalan Tungku Link, BE1410 Brunei Darussalam; Corresponding author.As efforts to achieve Net Zero are intensifying, there is a strong need to identify the technological positioning of green process innovations that can support the green energy transition. A veritable contender to support these efforts is the hydrothermal biomass processing technology. This process innovation comprises diverse techniques that can convert biomass substrates into valuable low-carbon fuels. Coordination across all available conversion approaches is encouraged to propel the application of those that consider the environmental and sustainability impacts. We assessed the innovation intensity for different techniques under this green process innovation through applying natural language processing and deployment of principal component analysis on patent data. We positioned our techniques within four distinctive groups (intense, dormant, emerging, and exploratory). In this way, we tracked which hydrothermal technique currently dominates international applications and which ones are gaining traction in the future.http://www.sciencedirect.com/science/article/pii/S2405844022020266Innovation intensityNatural language processingPrincipal component analysisHydrothermal biomass processingPatent data analyticsGreen energy transition |
| spellingShingle | Silviu Florin Acaru Rosnah Abdullah Daphne Teck Ching Lai Ren Chong Lim Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents Heliyon Innovation intensity Natural language processing Principal component analysis Hydrothermal biomass processing Patent data analytics Green energy transition |
| title | Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents |
| title_full | Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents |
| title_fullStr | Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents |
| title_full_unstemmed | Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents |
| title_short | Hydrothermal biomass processing for green energy transition: insights derived from principal component analysis of international patents |
| title_sort | hydrothermal biomass processing for green energy transition insights derived from principal component analysis of international patents |
| topic | Innovation intensity Natural language processing Principal component analysis Hydrothermal biomass processing Patent data analytics Green energy transition |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022020266 |
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