Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economy
Electricity power plants are the primary source of carbon dioxide (CO2) production. The combustion of fossil fuels in these power plants releases CO2 and other greenhouse gases (GHGs) into the atmosphere. Emissions of CO2 and other GHGs occur throughout the life cycle of electricity gener...
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Academia.edu Journals
2024-05-01
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| Series: | Academia Green Energy |
| Online Access: | https://www.academia.edu/119938797/Modeling_carbon_dioxide_emissions_in_power_plants_a_perspective_on_smart_cities_and_low_carbon_economy |
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| author | Isa S. Qamber |
| author_facet | Isa S. Qamber |
| author_sort | Isa S. Qamber |
| collection | DOAJ |
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Electricity power plants are the primary source of carbon dioxide (CO2) production. The combustion of fossil fuels in these power plants releases CO2 and other greenhouse gases (GHGs) into the atmosphere. Emissions of CO2 and other GHGs occur throughout the life cycle of electricity generation technologies, including extraction, processing, transportation, and combustion of fossil fuels. Nowadays, the development of smart cities plays a crucial role in reducing CO2 emissions. By integrating technology and sustainable practices into urban infrastructure, smart cities aim to minimize energy consumption and emissions. This research focuses on creating models that correlate CO2 emissions with the installed capacity of power plants and the energy they produce. Polynomial quadratic regression is applied to establish these correlations, enabling the assessment of both present and future CO2 emission values. The construction of new infrastructure for smart cities aligns with the broader goal of fostering a low-carbon economy. The study also considers the potential contribution of thermal energy to CO2 reduction efforts. Researchers aim to identify strategies for meeting emission reduction goals by analyzing power generation models. This involves implementing policies and technologies aimed at reducing GHG emissions and mitigating climate change. CO2 emissions contribute significantly to global warming, leading to climate change and patterns of extreme weather. The data on CO2 emissions encompasses gases generated from burning fossil fuels, highlighting the importance of reducing reliance on these energy sources. |
| format | Article |
| id | doaj-art-117adaf9a8424710a95ab8885b64e51f |
| institution | Kabale University |
| issn | 2998-3665 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Academia.edu Journals |
| record_format | Article |
| series | Academia Green Energy |
| spelling | doaj-art-117adaf9a8424710a95ab8885b64e51f2025-02-10T21:35:09ZengAcademia.edu JournalsAcademia Green Energy2998-36652024-05-011110.20935/AcadEnergy6234Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economyIsa S. Qamber0Former Department of Electrical and Electronics Engineering, University of Bahrain, Isa Town, P. O. Box 33831, Kingdom of Bahrain. Electricity power plants are the primary source of carbon dioxide (CO2) production. The combustion of fossil fuels in these power plants releases CO2 and other greenhouse gases (GHGs) into the atmosphere. Emissions of CO2 and other GHGs occur throughout the life cycle of electricity generation technologies, including extraction, processing, transportation, and combustion of fossil fuels. Nowadays, the development of smart cities plays a crucial role in reducing CO2 emissions. By integrating technology and sustainable practices into urban infrastructure, smart cities aim to minimize energy consumption and emissions. This research focuses on creating models that correlate CO2 emissions with the installed capacity of power plants and the energy they produce. Polynomial quadratic regression is applied to establish these correlations, enabling the assessment of both present and future CO2 emission values. The construction of new infrastructure for smart cities aligns with the broader goal of fostering a low-carbon economy. The study also considers the potential contribution of thermal energy to CO2 reduction efforts. Researchers aim to identify strategies for meeting emission reduction goals by analyzing power generation models. This involves implementing policies and technologies aimed at reducing GHG emissions and mitigating climate change. CO2 emissions contribute significantly to global warming, leading to climate change and patterns of extreme weather. The data on CO2 emissions encompasses gases generated from burning fossil fuels, highlighting the importance of reducing reliance on these energy sources.https://www.academia.edu/119938797/Modeling_carbon_dioxide_emissions_in_power_plants_a_perspective_on_smart_cities_and_low_carbon_economy |
| spellingShingle | Isa S. Qamber Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economy Academia Green Energy |
| title | Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economy |
| title_full | Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economy |
| title_fullStr | Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economy |
| title_full_unstemmed | Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economy |
| title_short | Modeling carbon dioxide emissions in power plants: a perspective on smart cities and low-carbon economy |
| title_sort | modeling carbon dioxide emissions in power plants a perspective on smart cities and low carbon economy |
| url | https://www.academia.edu/119938797/Modeling_carbon_dioxide_emissions_in_power_plants_a_perspective_on_smart_cities_and_low_carbon_economy |
| work_keys_str_mv | AT isasqamber modelingcarbondioxideemissionsinpowerplantsaperspectiveonsmartcitiesandlowcarboneconomy |