LAPSE:2019.1259v1
Published Article

LAPSE:2019.1259v1
Mass and Heat Integration in Ethanol Production Mills for Enhanced Process Efficiency and Exergy-Based Renewability Performance
December 3, 2019
Abstract
This paper presents the process design and assessment of a sugarcane-based ethanol production system that combines the usage of both mass and heat integration (pinch analysis) strategies to enhance the process efficiency and renewability performance. Three configurations were analyzed: (i) Base case: traditional ethanol production (1G); (ii) mass-integrated (1G2G); and (iii) mass and heat-integrated system (1G2G-HI). The overall assessment of these systems was based on complementary approaches such as mass and mass−heat integration, energy and exergy analysis, exergy-based greenhouse gas (GHG) emissions, and renewability exergy criteria. The performances of the three cases were assessed through five key performance indicators (KIPs) divided into two groups: one is related to process performance, namely, energy efficiency, exergy efficiency, and average unitary exergy cost (AUEC), and the other one is associated to environmental performance i.e., exergy-based CO2-equation emissions and renewability exergy index. Results showed a higher exergy efficiency of 50% and the lowest AUEC of all the systems (1.61 kJ/kJ) for 1G2G-HI. Furthermore, the destroyed exergy in 1G2G-HI was lower by 7% and 9% in comparison to the 1G and 1G2G cases, respectively. Regarding the exergy-based GHG emissions and renewability performance (λindex), the 1G2G-HI case presented the lowest impacts in terms of the CO2-equivalent emissions (94.10 gCO2-eq/MJ products), while λindex was found to be environmentally unfavorable (λ = 0.77). However, λindex became favorable (λ > 1) when the useful exergy of the byproducts was considered.
This paper presents the process design and assessment of a sugarcane-based ethanol production system that combines the usage of both mass and heat integration (pinch analysis) strategies to enhance the process efficiency and renewability performance. Three configurations were analyzed: (i) Base case: traditional ethanol production (1G); (ii) mass-integrated (1G2G); and (iii) mass and heat-integrated system (1G2G-HI). The overall assessment of these systems was based on complementary approaches such as mass and mass−heat integration, energy and exergy analysis, exergy-based greenhouse gas (GHG) emissions, and renewability exergy criteria. The performances of the three cases were assessed through five key performance indicators (KIPs) divided into two groups: one is related to process performance, namely, energy efficiency, exergy efficiency, and average unitary exergy cost (AUEC), and the other one is associated to environmental performance i.e., exergy-based CO2-equation emissions and renewability exergy index. Results showed a higher exergy efficiency of 50% and the lowest AUEC of all the systems (1.61 kJ/kJ) for 1G2G-HI. Furthermore, the destroyed exergy in 1G2G-HI was lower by 7% and 9% in comparison to the 1G and 1G2G cases, respectively. Regarding the exergy-based GHG emissions and renewability performance (λindex), the 1G2G-HI case presented the lowest impacts in terms of the CO2-equivalent emissions (94.10 gCO2-eq/MJ products), while λindex was found to be environmentally unfavorable (λ = 0.77). However, λindex became favorable (λ > 1) when the useful exergy of the byproducts was considered.
Record ID
Keywords
exergy analysis, heat integration, integrated first- and second-generation ethanol, lignocellulosic ethanol, renewability exergy index
Subject
Suggested Citation
Silva Ortiz PA, Maciel Filho R, Posada J. Mass and Heat Integration in Ethanol Production Mills for Enhanced Process Efficiency and Exergy-Based Renewability Performance. (2019). LAPSE:2019.1259v1
Author Affiliations
Silva Ortiz PA: School of Chemical Engineering, Laboratory of Optimization, Design and Advanced Process Control-LOPCA, University of Campinas, Campinas 13083-852, Brazil; Department of Biotechnology, Faculty of Applied Sciences, Delft University of Technology, 2629 HZ De
Maciel Filho R: School of Chemical Engineering, Laboratory of Optimization, Design and Advanced Process Control-LOPCA, University of Campinas, Campinas 13083-852, Brazil
Posada J: Department of Biotechnology, Faculty of Applied Sciences, Delft University of Technology, 2629 HZ Delft, The Netherlands [ORCID]
Maciel Filho R: School of Chemical Engineering, Laboratory of Optimization, Design and Advanced Process Control-LOPCA, University of Campinas, Campinas 13083-852, Brazil
Posada J: Department of Biotechnology, Faculty of Applied Sciences, Delft University of Technology, 2629 HZ Delft, The Netherlands [ORCID]
Journal Name
Processes
Volume
7
Issue
10
Article Number
E670
Year
2019
Publication Date
2019-09-27
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7100670, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.1259v1
This Record
External Link

https://doi.org/10.3390/pr7100670
Publisher Version
Download
Meta
Record Statistics
Record Views
679
Version History
[v1] (Original Submission)
Dec 3, 2019
Verified by curator on
Dec 3, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.1259v1
Record Owner
Calvin Tsay
Links to Related Works
