Abstract
The power generation sector is considered one of the major contributors to nitrogen oxides (NOx) emissions which have serious impacts on air quality. An optimization model is developed to help decision-makers determine the best strategy or mix of strategies for the electricity sector to meet a given NOx reduction target and electricity demand at a minimum cost. The model recommended the selective catalytic reduction (SCR) technology to be applied at higher NOx emissions and the reduction reached up to 80 %. This potential option provides promising prospects for NOx emissions control, which is in line with the economic demand for sustainable energy and environmentally friendly technologies.
| Original language | English |
|---|---|
| Pages (from-to) | 979-986 |
| Number of pages | 8 |
| Journal | Chemical Engineering and Technology |
| Volume | 46 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2023 |
Bibliographical note
Publisher Copyright:© 2023 Wiley-VCH GmbH.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 17 Partnerships for the Goals
Keywords
- Mixed-integer nonlinear programming
- NO emissions reduction
- Power generation industry
- Power plants
- Selective catalytic reduction
ASJC Scopus subject areas
- General Chemistry
- General Chemical Engineering
- Industrial and Manufacturing Engineering
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