Integrated techno-economic optimization for the design and operations of energy, water and food nexus systems constrained as non-cooperative games

Sarah Namany, Tareq Al-Ansari, Rajesh Govindan

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

The rise in global population and the consumption of energy, water, and food (EWF) resources continues to increase exponentially, placing enormous stresses on the three resource sectors. Therefore, assessing the inter-linkages between EWF resources is a very crucial step to achieve sustainable resource utilization, through increased economic efficiency and enhanced environmental performance. Such integrated assessment is often challenged by the difficulty in presenting a robust formulation which considers the necessary details of embedded systems, the availability of relevant models and data, as well as the representation of their uncertainties, based on which the design and operations of connected supply chains are ideally optimized. The objective of the research presented in this paper is to address the key challenges of the EWF nexus through the development of a techno-economic framework under non-cooperative settings. The methodology developed assumes a bottom-up approach in which the self-interested stakeholders, i.e. the players, are represented based on their own decision variables and objective functions at various levels, i.e. resources and environment systems, engineering systems, and their integration and operations. For this purpose, a combination of optimization models based on linear programming, stochastic programming, and game theoretic approach, represented by a Stackelberg competition, were developed. A case study is set in the State of Qatar with the objective of enhancing food security using hypothetical scenarios. The results obtained demonstrates that interesting interactions between systems, albeit competitive, can potentially result in the achievement of desired objectives under properly regulated markets, and is therefore envisaged as a promising contribution towards sustainable policy development and nexus governance.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages1003-1008
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2018

Publication series

NameComputer Aided Chemical Engineering
Volume44
ISSN (Print)1570-7946

Fingerprint

Economics
Water
Stochastic programming
Systems engineering
Embedded systems
Linear programming
Supply chains
Availability
Nexus
Uncertainty

Keywords

  • EWF nexus
  • food security
  • Stackelberg
  • stochastic optimization

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Namany, S., Al-Ansari, T., & Govindan, R. (2018). Integrated techno-economic optimization for the design and operations of energy, water and food nexus systems constrained as non-cooperative games. In Computer Aided Chemical Engineering (pp. 1003-1008). (Computer Aided Chemical Engineering; Vol. 44). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-64241-7.50162-2

Integrated techno-economic optimization for the design and operations of energy, water and food nexus systems constrained as non-cooperative games. / Namany, Sarah; Al-Ansari, Tareq; Govindan, Rajesh.

Computer Aided Chemical Engineering. Elsevier B.V., 2018. p. 1003-1008 (Computer Aided Chemical Engineering; Vol. 44).

Research output: Chapter in Book/Report/Conference proceedingChapter

Namany, S, Al-Ansari, T & Govindan, R 2018, Integrated techno-economic optimization for the design and operations of energy, water and food nexus systems constrained as non-cooperative games. in Computer Aided Chemical Engineering. Computer Aided Chemical Engineering, vol. 44, Elsevier B.V., pp. 1003-1008. https://doi.org/10.1016/B978-0-444-64241-7.50162-2
Namany, Sarah ; Al-Ansari, Tareq ; Govindan, Rajesh. / Integrated techno-economic optimization for the design and operations of energy, water and food nexus systems constrained as non-cooperative games. Computer Aided Chemical Engineering. Elsevier B.V., 2018. pp. 1003-1008 (Computer Aided Chemical Engineering).
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