THERMAL AND FEED COMPOSITION FACTORS: A COMPUTATIONAL APPROACH TO DISTILLATION PLANT EFFICIENCY

Binary distillation, a fundamental process in chemical engineering, involves the separation of a liquid or vapor mixture containing two substances into its component fractions of desired purity through the application and removal of heat. While the concept of distillation has ancient roots, its refinement into a systematic method for separation emerged in the 16th century when it was recognized that the process could be enhanced through multiple stages of vapor-liquid contacting. This advancement paved the way for the widespread adoption of multiple-stage distillation as the predominant industrial technique for liquid mixture separation in the 20th century. In this paper, we delve into the historical evolution of distillation, highlighting its transition from batch distillation, primarily used for producing alcoholic beverages, to the more efficient and versatile multiple-stage distillation method. By exploring the contributions of pioneers in distillation theory and practice, such as Lone and Rather (2015), we aim to elucidate the principles underlying binary distillation and its significance in modern chemical engineering processes. Through a comprehensive review of the literature and theoretical frameworks, we discuss the key factors influencing the efficiency and effectiveness of binary distillation, including stage design, heat exchange mechanisms, and thermodynamic considerations. Furthermore, we examine contemporary advancements in distillation technology, such as the integration of computational tools and optimization algorithms, which have revolutionized process design and operation. By synthesizing historical perspectives with current research trends, this paper provides insights into the evolution, principles, and applications of binary distillation, laying the groundwork for further advancements in separation science and engineering

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-05
DOI
https://doi.org/10.5281/zenodo.14280765
Primary Topic
Process Optimization and Integration
Type
article
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article

THERMAL AND FEED COMPOSITION FACTORS: A COMPUTATIONAL APPROACH TO DISTILLATION PLANT EFFICIENCY

Zenodo (CERN European Organization for Nuclear Research)
Process Optimization and Integration
article

THERMAL AND FEED COMPOSITION FACTORS: A COMPUTATIONAL APPROACH TO DISTILLATION PLANT EFFICIENCY

article en

Abstract

Binary distillation, a fundamental process in chemical engineering, involves the separation of a liquid or vapor mixture containing two substances into its component fractions of desired purity through the application and removal of heat. While the concept of distillation has ancient roots, its refinement into a systematic method for separation emerged in the 16th century when it was recognized that the process could be enhanced through multiple stages of vapor-liquid contacting. This advancement paved the way for the widespread adoption of multiple-stage distillation as the predominant industrial technique for liquid mixture separation in the 20th century. In this paper, we delve into the historical evolution of distillation, highlighting its transition from batch distillation, primarily used for producing alcoholic beverages, to the more efficient and versatile multiple-stage distillation method. By exploring the contributions of pioneers in distillation theory and practice, such as Lone and Rather (2015), we aim to elucidate the principles underlying binary distillation and its significance in modern chemical engineering processes. Through a comprehensive review of the literature and theoretical frameworks, we discuss the key factors influencing the efficiency and effectiveness of binary distillation, including stage design, heat exchange mechanisms, and thermodynamic considerations. Furthermore, we examine contemporary advancements in distillation technology, such as the integration of computational tools and optimization algorithms, which have revolutionized process design and operation. By synthesizing historical perspectives with current research trends, this paper provides insights into the evolution, principles, and applications of binary distillation, laying the groundwork for further advancements in separation science and engineering

Zenodo (CERN European Organization for Nuclear Research)
University of Dar es Salaam (TZ)
Openalex Percentile: Top 59%
Process Optimization and Integration
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