GHG life cycle assessment for the United Arab Emirates electricity sector combining optimization and simulation tools

Alberto Betancourt-Torcat, Mohammed Alkatheri, Ali Almansoori

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The United Arab Emirates (UAE) relies heavily on natural gas for power generation, and the demand for gas in a country with one of the highest per capita power consumption rates in the world position the electricity sector as the leading CO2 emission source. Although the country is very rich in energy resources it is currently facing challenges to meet its domestic gas demand. Thus, the country has been forced to develop its large, but highly sour (high-sulfur content) gas reservoirs. Given the gas highsulfur content, the sweetening process is particularly very energy and greenhouse gas (GHG) emission intensive compared with conventional gas resources. Additionally, the volume of sweet gas yield is low due to the high proportion of acid gases in the feed gas (e.g., over 35% of H2S and CO2 combined). This work quantifies the well-to-grid (WTG) GHG emissions per kilowatt hour (kWh) of domestic gas-based electricity generated in the UAE using mathematical models, simulation tools, and engineering principles. WTG emissions include emissions from sour gas extracting, sour gas processing, sweet gas product transportation, electricity generation, and electricity transmission in the UAE. Two types of gas resources were examined: conventional and ultra-sour gas. The results show that the WTG GHG emissions of domestic gas-based power generation in UAE ranges between 444 to 501 g CO2 eq./kWh; placing the country in the low-mid range of values compared with the literature 413-587 g CO2 eq./kWh.

Original languageBritish English
Title of host publicationSustainable Engineering Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting
Pages305-311
Number of pages7
ISBN (Electronic)9781510834491
StatePublished - 2016
EventSustainable Engineering Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting - San Francisco, United States
Duration: 13 Nov 201618 Nov 2016

Publication series

NameSustainable Engineering Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting

Conference

ConferenceSustainable Engineering Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting
Country/TerritoryUnited States
CitySan Francisco
Period13/11/1618/11/16

Keywords

  • Economics
  • Electricity sector
  • Greenhouse gas
  • Life cycle assessment
  • Optimization
  • Simulation

Fingerprint

Dive into the research topics of 'GHG life cycle assessment for the United Arab Emirates electricity sector combining optimization and simulation tools'. Together they form a unique fingerprint.

Cite this