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 high-sulfur 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 language | British English |
|---|---|
| Title of host publication | Computing and Systems Technology Division 2016 - Core Programming Area at the 2016 AIChE Annual Meeting |
| Pages | 490-496 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781510834323 |
| State | Published - 2016 |
| Event | Computing and Systems Technology Division 2016 - Core Programming Area at the 2016 AIChE Annual Meeting - San Francisco, United States Duration: 13 Nov 2016 → 18 Nov 2016 |
Publication series
| Name | Computing and Systems Technology Division 2016 - Core Programming Area at the 2016 AIChE Annual Meeting |
|---|
Conference
| Conference | Computing and Systems Technology Division 2016 - Core Programming Area at the 2016 AIChE Annual Meeting |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 13/11/16 → 18/11/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Keywords
- Economics
- Electricity sector
- Greenhouse gas
- Life cycle assessment
- Optimization
- Simulation
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