Assessment of technology portfolios with enhanced economic and environmental performance for the energy, water and food nexus

Rajesh Govindan, Tareq Al-Ansari, Anna Korre, Nilay Shah

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

In modern day sustainable development, it has become necessary to apply integrated approaches that aid in the understanding of the synergies and trade-offs between various systems and processes which co-exist and utilizing the resources in the energy, water and food nexus has become necessary. The research presented in this paper discusses a probabilistic risk-based approach to assess the diversification of the energy economy, which would particularly play an important role in the enhancement of food security in the State of Qatar. The modern portfolio theory was adopted for this purpose and was used to evaluate energy portfolios with enhanced economic and environmental performance, when compared to the constituent power generation assets. The results obtained thus far demonstrate that a symbiosis between the industries related to energy and biomass waste utilisation could simultaneously help tackle the problem of environmental deterioration and mitigate economic risks, primarily caused by the variabilities in the natural gas and CO2 prices.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages537-542
Number of pages6
ISBN (Print)9780444642356
DOIs
Publication statusPublished - 1 Jan 2018

Publication series

NameComputer Aided Chemical Engineering
Volume43
ISSN (Print)1570-7946

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Keywords

  • Food Security
  • Portfolio Theory
  • Stochastic Processes

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Govindan, R., Al-Ansari, T., Korre, A., & Shah, N. (2018). Assessment of technology portfolios with enhanced economic and environmental performance for the energy, water and food nexus. In Computer Aided Chemical Engineering (pp. 537-542). (Computer Aided Chemical Engineering; Vol. 43). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-64235-6.50095-4