Research Article Open Access Double-Blind Peer Review

INTEGRATED COMPUTATIONAL MODELING OF FEED COMPOSITION AND THERMAL VARIABLES IN DISTILLATION PLANTS

Elias David Mnyandu
Published 20 January 2025
Vol. 11, No. 02 (2023)
pp. 16-58
CC BY 4.0
  1. 1
    Elias David Mnyandu
    Department of Chemical and Mining Engineering, University of Dar es Salaam, Tanzania
    TZ

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

JournalApplied Sciences, Engineering, and Technology Journal
ISSN3064-8408
Volume / IssueVol. 11, No. 02 (2023)
Pages16-58
Published20 January 2025
Access Open Access
LicenseCC BY 4.0 — reuse with attribution
PublisherKeith Publications
Mnyandu, E. (2025). INTEGRATED COMPUTATIONAL MODELING OF FEED COMPOSITION AND THERMAL VARIABLES IN DISTILLATION PLANTS. Applied Sciences, Engineering, and Technology Journal, Vol. 11 No. 02, pp. 16-58

 Submit Your Research to Applied Sciences, Engineering, and Technology Journal

We invite original research articles, review papers, and case studies. Benefit from rigorous double-blind peer review, rapid decision within 4–8 weeks, DOI for every article, and worldwide open-access distribution.