A linear process analysis and sensor applications of a pilot water treatment plant

Waqas Ahmed Khan Afridi; Subhas Chandra Mukhopadhyay

doi:10.1007/978-3-030-98886-9_29

A linear process analysis and sensor applications of a pilot water treatment plant

Waqas Ahmed Khan Afridi, Subhas Chandra Mukhopadhyay^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

2 Citations (Scopus)

Abstract

The pharmaceutical industry is a highly water-reliant sector that consumes a high amount of raw water and energy in its production processes to meet rising healthcare demands and achieve environmental standards. This paper presents an empirical investigation through a linear process analysis of a pilot water treatment plant employed in the manufacturing of medicines. In the paper, key ICTs involving sensor applications at subsequent treatment stages have been discussed. In particular, volumetric flowrate across successive filtration methods, and a semipermeable RO membrane operation have been mathematically modeled for process analysis and optimization. The results of the study reveal that the performance and durability of the RO treatment section are chiefly determined by the robust pretreatment organic filtration methods, where the main operational parameters such as volumetric flow rate, solute concentrations, and change in pressures across RO unit have been instrumental in the optimization of plant performance and act as a driving force in enhancing system efficiency.

Original language	English
Title of host publication	Sensing technology
Subtitle of host publication	proceedings of ICST 2022
Editors	Nagender Kumar Suryadevara, Boby George, Krishanthi P. Jayasundera, Joyanta Kumar Roy, Subhas Chandra Mukhopadhyay
Place of Publication	Cham, Switzerland
Publisher	Springer, Springer Nature
Pages	367-384
Number of pages	18
ISBN (Electronic)	9783030988869
ISBN (Print)	9783030988852
DOIs	https://doi.org/10.1007/978-3-030-98886-9_29
Publication status	Published - 2022
Event	International Conference on Sensing Technology (14th : ICST 2022) - Indian Institute of Technology Madras, Chennai, India Duration: 16 Jan 2022 → 18 Jan 2022 Conference number: 14th

Publication series

Name	Lecture Notes in Electrical Engineering
Publisher	Springer
Volume	886
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Sensing Technology (14th : ICST 2022)
Abbreviated title	ICST 2022
Country/Territory	India
City	Chennai
Period	16/01/22 → 18/01/22

Keywords

Pilot study
Water treatment plant
Process analysis
Sensor applications
Controlled operation
Mathematical modeling

Access to Document

10.1007/978-3-030-98886-9_29

Cite this

Afridi, W. A. K., & Mukhopadhyay, S. C. (2022). A linear process analysis and sensor applications of a pilot water treatment plant. In N. K. Suryadevara, B. George, K. P. Jayasundera, J. K. Roy, & S. C. Mukhopadhyay (Eds.), Sensing technology: proceedings of ICST 2022 (pp. 367-384). (Lecture Notes in Electrical Engineering; Vol. 886). Springer, Springer Nature. https://doi.org/10.1007/978-3-030-98886-9_29

Afridi, Waqas Ahmed Khan ; Mukhopadhyay, Subhas Chandra. / A linear process analysis and sensor applications of a pilot water treatment plant. Sensing technology: proceedings of ICST 2022. editor / Nagender Kumar Suryadevara ; Boby George ; Krishanthi P. Jayasundera ; Joyanta Kumar Roy ; Subhas Chandra Mukhopadhyay. Cham, Switzerland : Springer, Springer Nature, 2022. pp. 367-384 (Lecture Notes in Electrical Engineering).

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title = "A linear process analysis and sensor applications of a pilot water treatment plant",

abstract = "The pharmaceutical industry is a highly water-reliant sector that consumes a high amount of raw water and energy in its production processes to meet rising healthcare demands and achieve environmental standards. This paper presents an empirical investigation through a linear process analysis of a pilot water treatment plant employed in the manufacturing of medicines. In the paper, key ICTs involving sensor applications at subsequent treatment stages have been discussed. In particular, volumetric flowrate across successive filtration methods, and a semipermeable RO membrane operation have been mathematically modeled for process analysis and optimization. The results of the study reveal that the performance and durability of the RO treatment section are chiefly determined by the robust pretreatment organic filtration methods, where the main operational parameters such as volumetric flow rate, solute concentrations, and change in pressures across RO unit have been instrumental in the optimization of plant performance and act as a driving force in enhancing system efficiency.",

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author = "Afridi, \{Waqas Ahmed Khan\} and Mukhopadhyay, \{Subhas Chandra\}",

year = "2022",

doi = "10.1007/978-3-030-98886-9\_29",

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Afridi, WAK & Mukhopadhyay, SC 2022, A linear process analysis and sensor applications of a pilot water treatment plant. in NK Suryadevara, B George, KP Jayasundera, JK Roy & SC Mukhopadhyay (eds), Sensing technology: proceedings of ICST 2022. Lecture Notes in Electrical Engineering, vol. 886, Springer, Springer Nature, Cham, Switzerland, pp. 367-384, International Conference on Sensing Technology (14th : ICST 2022), Chennai, India, 16/01/22. https://doi.org/10.1007/978-3-030-98886-9_29

A linear process analysis and sensor applications of a pilot water treatment plant. / Afridi, Waqas Ahmed Khan; Mukhopadhyay, Subhas Chandra.
Sensing technology: proceedings of ICST 2022. ed. / Nagender Kumar Suryadevara; Boby George; Krishanthi P. Jayasundera; Joyanta Kumar Roy; Subhas Chandra Mukhopadhyay. Cham, Switzerland: Springer, Springer Nature, 2022. p. 367-384 (Lecture Notes in Electrical Engineering; Vol. 886).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - A linear process analysis and sensor applications of a pilot water treatment plant

AU - Afridi, Waqas Ahmed Khan

AU - Mukhopadhyay, Subhas Chandra

N1 - Conference code: 14th

PY - 2022

Y1 - 2022

N2 - The pharmaceutical industry is a highly water-reliant sector that consumes a high amount of raw water and energy in its production processes to meet rising healthcare demands and achieve environmental standards. This paper presents an empirical investigation through a linear process analysis of a pilot water treatment plant employed in the manufacturing of medicines. In the paper, key ICTs involving sensor applications at subsequent treatment stages have been discussed. In particular, volumetric flowrate across successive filtration methods, and a semipermeable RO membrane operation have been mathematically modeled for process analysis and optimization. The results of the study reveal that the performance and durability of the RO treatment section are chiefly determined by the robust pretreatment organic filtration methods, where the main operational parameters such as volumetric flow rate, solute concentrations, and change in pressures across RO unit have been instrumental in the optimization of plant performance and act as a driving force in enhancing system efficiency.

AB - The pharmaceutical industry is a highly water-reliant sector that consumes a high amount of raw water and energy in its production processes to meet rising healthcare demands and achieve environmental standards. This paper presents an empirical investigation through a linear process analysis of a pilot water treatment plant employed in the manufacturing of medicines. In the paper, key ICTs involving sensor applications at subsequent treatment stages have been discussed. In particular, volumetric flowrate across successive filtration methods, and a semipermeable RO membrane operation have been mathematically modeled for process analysis and optimization. The results of the study reveal that the performance and durability of the RO treatment section are chiefly determined by the robust pretreatment organic filtration methods, where the main operational parameters such as volumetric flow rate, solute concentrations, and change in pressures across RO unit have been instrumental in the optimization of plant performance and act as a driving force in enhancing system efficiency.

KW - Pilot study

KW - Water treatment plant

KW - Process analysis

KW - Sensor applications

KW - Controlled operation

KW - Mathematical modeling

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DO - 10.1007/978-3-030-98886-9_29

M3 - Conference proceeding contribution

AN - SCOPUS:85132990980

SN - 9783030988852

T3 - Lecture Notes in Electrical Engineering

SP - 367

EP - 384

BT - Sensing technology

A2 - Suryadevara, Nagender Kumar

A2 - George, Boby

A2 - Jayasundera, Krishanthi P.

A2 - Roy, Joyanta Kumar

A2 - Mukhopadhyay, Subhas Chandra

PB - Springer, Springer Nature

CY - Cham, Switzerland

T2 - International Conference on Sensing Technology (14th : ICST 2022)

Y2 - 16 January 2022 through 18 January 2022

ER -

Afridi WAK, Mukhopadhyay SC. A linear process analysis and sensor applications of a pilot water treatment plant. In Suryadevara NK, George B, Jayasundera KP, Roy JK, Mukhopadhyay SC, editors, Sensing technology: proceedings of ICST 2022. Cham, Switzerland: Springer, Springer Nature. 2022. p. 367-384. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-3-030-98886-9_29

A linear process analysis and sensor applications of a pilot water treatment plant

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