P-graph approach in value chain modeling of rice husk-fired biomass processes
Clicks: 4
ID: 284848
2022
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
0.9
/100
4 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #336 of 3,757 articles by views in Malay Journal
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The world energy demand will keep rising and put a strain on all sources of energy unless a change is made. Countries, like the Philippines, which rely heavily on agriculture can make use of the biomass they produce to generate energy. This paper developed a framework on rice husk-fired biomass value chains using P-graph which generate high-value energy products. A process flow diagram was first created using existing literature to determine the input flows and output flows between each technology to be used for the conversion of rice husks into high-value energy products. This process flow diagram was then transformed into a P-graph model. Two case studies were created from this process flow diagram where the first one only generates bioelectricity as its high-value energy product while the second one generates diesel, jet fuel, and bioelectricity as its high-value energy products. An optimal solution structure was chosen from each case study based on its economic returns and environmental impact. A sensitivity analysis was performed on the optimal solutions of both case studies to determine the effect of changing the product demand on the overall system. The results of these case studies show that the framework can produce optimal solutions which generate high-value products at a steady profit and low environmental impact. The framework presented can be used to help guide policy decisions by transforming existing rice-based value chains to be more efficient and sustainable.
| Reference Key |
persistent_1760653867_68f1722b8c1c9
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Maleniza, Michael Reiji A. |
| Journal | Malay Journal |
| Year | 2022 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.