The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Exploration and corrective measures of greenhouse gas emission from fossil fuel power stations for Bangladesh
Open accessAbstract
Abstract Greenhouse gas emission is increasing alarmingly due to bulk electricity generation from fossil fuel such as coal, gas and oil with its limited stock. While researchers are struggling to minimize the emission using suitable mitigation techniques including renewable energy sources, the Government of Bangladesh is implementing several Coal based power plants. This paper presents mathematical model of parameters related to Greenhouse gas emission and demonstrates its emission rates resulting from various fuels used in Bangladeshi power plants. The Greenhouse gas emission from the existing fossil fuel power plants using HOMER (Hybrid Optimization of Multiple Energy Resources) software is analyzed in this research. The result shows that power plants of coal, diesel and natural gas emit 0.90 kg, 0.76 kg and 0.566 kg of CO2 per kWh, respectively. Furthermore, several Greenhouse gas mitigating procedures are proposed for fossil fuel-based power generating stations.
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1 retracted
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Self-citationRetractedCarbon capture and storage (CCS): the way forward
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A review of renewable energy sources, sustainability issues and climate change mitigation
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Life cycle GHG emission analysis of power generation systems: Japanese case
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Cited by
Farghali, M., Osman, A. I., Chen, Z., Abdelhaleem, A., Ihara, I., Mohamed, I. M. A., Yap, P.-S., & Rooney, D. W. (2023) · Environmental Chemistry Letters · doi:10.1007/s10311-023-01587-1 · Cited by 361
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Prospects of Electric Vehicles in the Developing Countries: A Literature Review
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Yang, X., Jiang, D., Cheng, X., Yuan, C., Wang, S., He, Z., & Esakkimuthu, S. (2022) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2022.106519 · Cited by 81
Integrated Fischer-Tropsch synthesis process with hydrogen liquefaction cycle
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Metadata
- Authors
- Karmaker, A. K., Rahman, M. M., Hossain, M. A., & Ahmed, M. R.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 244
- Pages
- 118645
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2978345470
- Cited by
- 264
- References
- 39
- FWCI
- 4.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.