TY - GEN
T1 - GHG life cycle assessment for the United Arab Emirates electricity sector combining optimization and simulation tools
AU - Betancourt-Torcat, Alberto
AU - Alkatheri, Mohammed
AU - Almansoori, Ali
N1 - Publisher Copyright:
Copyright © 2017 American Institute of Chemical Engineers. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Economics
KW - Electricity sector
KW - Greenhouse gas
KW - Life cycle assessment
KW - Optimization
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85019112207&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85019112207
T3 - Sustainable Engineering Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting
SP - 305
EP - 311
BT - Sustainable Engineering Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting
T2 - Sustainable Engineering Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting
Y2 - 13 November 2016 through 18 November 2016
ER -