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Paper

Systems engineering based advanced optimization for sustainable water management in refineries

by Independent / Community 00aed44689240e84cabc0fea44871ed24ebb8d57

Free2AITools Nexus Index

66.4

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 78

P: Popularity 53

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Abstract Refineries are increasingly compelled to play an imperative role in achieving sustainable management of water as mandated by sustainable development goals (SDGs). Existing optimization models lack the ability to addresses this challenge of obtaining optimal refinery water network configuration for problems of industrial scale due to difficulty in application of complex solution algorithms of mixed integer non-linear problem (MINLP) formulations to large dimensions. Therefore, the opt...

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Semantic Scholar 14 Citations

Paper Information Summary
Entity Passport
Registry ID	00aed44689240e84cabc0fea44871ed24ebb8d57
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{00aed44689240e84cabc0fea44871ed24ebb8d57,
  author = {Unknown},
  title = {Systems engineering based advanced optimization for sustainable water management in refineries Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/00aed44689240e84cabc0fea44871ed24ebb8d57}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Systems engineering based advanced optimization for sustainable water management in refineries [Paper]. Free2AITools. https://api.semanticscholar.org/00aed44689240e84cabc0fea44871ed24ebb8d57

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 78

Popularity (P) 53

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Systems engineering based advanced optimization for sustainable water management in refineries: Authority (A:78), Popularity (P:53), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Abstract Refineries are increasingly compelled to play an imperative role in achieving sustainable management of water as mandated by sustainable development goals (SDGs). Existing optimization models lack the ability to addresses this challenge of obtaining optimal refinery water network configuration for problems of industrial scale due to difficulty in application of complex solution algorithms of mixed integer non-linear problem (MINLP) formulations to large dimensions. Therefore, the opt..."

❝ Cite Node

@article{Unknown2026Systems,
  title={Systems engineering based advanced optimization for sustainable water management in refineries},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈14CitationsSemantic Scholar

🏛️78AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️infrastructure opsField

📦Data Source: semantic_scholar

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
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downloads: 0
stars: null
forks: null
citations: 14

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