Energy, economic and environmental (3E) analysis and multi-objective optimization of a spray-assisted low-temperature desalination system

Q. Chen, M. Kum Ja, Y. Li, K. J. Chua*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Energetic, environmental and economic (3E) performances are major effective criteria that one needs to consider when designing and optimizing a desalination plant. In order to optimize all the three variables, it is important to determine an optimal system configuration and operation strategy at early design stages. Therefore, 3E analyses and multi-objective optimization of desalination systems are the areas of significant research interests. This paper specially conducts a 3E analysis and multi-objective optimization exercise of a spray-assisted low-temperature desalination technology through a judiciously developed mathematical model. Several optimization scenarios are studied to emphasize different performance variables. A multi-objective optimization is also performed to obtain the best trade-offs among these variables. Results revealed that the specific energy consumption highly conflicts with the initial investment, while the specific CO2 emission and the initial investment present a positive correlation. The specific CO2 emission can be minimized through the use of upward spray condensers, while the initial cost can be reduced by designing more compact spray evaporators and using cheaper materials.

Original languageEnglish (US)
Pages (from-to)387-401
Number of pages15
JournalEnergy
Volume151
DOIs
StatePublished - May 15 2018

Bibliographical note

Funding Information:
The authors gratefully acknowledge the generous funding from (1) the National Research Foundation Singapore under the Competitive Research Programme (CRP) Funding Scheme (R-265-000-466-281), (2) the National Research Foundation Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme and (3) the China Scholarship Council.

Funding Information:
The authors gratefully acknowledge the generous funding from (1) the National Research Foundation Singapore under the Competitive Research Programme (CRP) Funding Scheme ( R-265-000-466-281 ), (2) the National Research Foundation Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme and (3) the China Scholarship Council .

Publisher Copyright:
© 2018 Elsevier Ltd

Keywords

  • 3E analyses
  • Multi-objective optimization
  • Spray-assisted low-temperature desalination

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Modeling and Simulation
  • Renewable Energy, Sustainability and the Environment
  • Building and Construction
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Pollution
  • Mechanical Engineering
  • General Energy
  • Management, Monitoring, Policy and Law
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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