Research Article
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Year 2024, Volume: 9 Issue: 2, 42 - 60

Abstract

References

  • [1] Ditl P, Šulc R. Calculations of CO2 emission and combustion efficiency for various fuels. Energy. 2024 Mar 1;290.
  • [2] Bal H, Çağlı ZŞ, Uslu B, Keleş CÖ. Exergy-Based analysis of CO2e reduction by campus solar energy installation for sustainability improvement. InE3S Web of Conferences 2024 (Vol. 545, p. 02004). EDP Sciences.
  • [3] Cârdu M, Baica M. Regarding a new variant methodology to estimate the ecologic impact of thermopower plants globally. Energy conversion and management. 1999 Sep 1;40(14):1569-75.
  • [4] Porteiro R, Nesmachnow S, Moreno-Bernal P, Torres-Aguilar CE. Computational intelligence for residential electricity consumption assessment: detecting household air conditioner use. Sustainable Energy Technologies and Assessments. 2023 Aug 1;58:103319.
  • [5] Kristanto A. Electrical Energy Audit in Pakuwon City Mall 2 Building for Efficiency. JEECS (Journal of Electrical Engineering and Computer Sciences). 2023 Jun 30;8(1):71-82.
  • [6] KC B, Ruth M. Estimation and projection of institutional building electricity consumption. Energy Build. 2017 May 15;143:43–52.
  • [7] Kim HG, Kim SS, Ahn H. Data-driven analysis of heating and cooling base temperatures for buildings: Case studies in South Korea. Energy Build. 2024 Nov 1;322.
  • [8] Javed F. Impact of Climate Change on Electricity Consumption: A Case Study of Pakistan. Human Nature Journal of Social Sciences [Internet]. 2021;2(2):1–19. Available from: http://hnpublisher.com
  • [9] Eisapour AH, Kashan ME, Fung AS. Integrating insulated concrete form (ICF) with solar-driven reverse osmosis desalination for building integrated energy storage in cold climates. J Energy Storage. 2024 Sep 20;98.
  • [10] Zhang M, Zhang K, Hu W, Zhu B, Wang P, Wei YM. Exploring the climatic impacts on residential electricity consumption in Jiangsu, China. Energy Policy. 2020 May 1;140.
  • [11] Fikru MG, Gautier L. The impact of weather variation on energy consumption in residential houses. Appl Energy. 2015 Apr 5;144:19–30.
  • [12] Marten AL, Newbold SC. Estimating the social cost of non-CO 2 GHG emissions: Methane and nitrous oxide. Energy Policy. 2012 Dec;51:957–72.
  • [13] Craig CA, Feng S. Exploring utility organization electricity generation, residential electricity consumption, and energy efficiency: A climatic approach. Appl Energy. 2017 Jan 1;185:779–90.
  • [14] Zheng S, Huang G, Zhou X, Zhu X. Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China. Appl Energy. 2020 Mar 1;261.
  • [15] Xu P, Huang YJ, Miller N, Schlegel N, Shen P. Impacts of climate change on building heating and cooling energy patterns in California. Energy. 2012;44(1):792–804.
  • [16] Shakouri G. H. The share of cooling electricity in global warming: Estimating the loop gain for the positive feedback. Energy. 2019 Jul 15;179:747–61.
  • [17] Ye H, Hu X, Ren Q, Lin T, Li X, Zhang G, et al. Effect of urban micro-climatic regulation ability on public building energy usage carbon emission. Energy Build. 2017 Nov 1;154:553–9.
  • [18] Zhang M, Chen Y, Hu W, Deng N, He W. Exploring the impact of temperature change on residential electricity consumption in China: The ‘crowding-out’ effect of income growth. Energy Build. 2021 Aug 15;245.
  • [19] Kheiri F, Haberl JS, Baltazar JC. Split-degree day method: A novel method for improving building energy performance estimation. Energy Build. 2023 Jun 15;289.
  • [20] Li J, He X, Li W, Zhang M, Wu J. Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory. Electric Power Systems Research. 2023 May 1;218.
  • [21] Can OF, Celik N, Dagtekin I. Energetic-exergetic-economic analyses of a cogeneration thermic power plant in Türkiye. International Communications in Heat and Mass Transfer. 2009 Dec;36(10):1044–9.
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  • [24] Islam MS, Khatun MS, Biswas MHA. Mathematical modelling of using renewable energy in the power sectors for the sustainable environment. Mathematical Modelling and Numerical Simulation with Applications. 2024 Jun 30;4(2):216–37.
  • [25] Kon O, Caner İ. Investigating electricity produced in power plants and used for cooling buildings with a life cycle approach of carbon capture and storage technology. Journal of New Results in Science. 2022 Apr 30;11(1):77–90.
  • [26] Kusi E, Boateng I, Danso H. Energy consumption and carbon emission of conventional and green buildings using building information modelling (BIM). International Journal of Building Pathology and Adaptation. 2024
  • [27] Baig K S, M Y. Coal Fired Power Plants: Emission Problems and Controlling Techniques. J Earth Sci Clim Change. 2017;08(07).
  • [28] Yurtsever Ö. A practical methodology for predicting electricity consumption of urban residential buildings. Environ Prog Sustain Energy. 2022 Sep 1;41(5).
  • [29] Meng Q, Xi Y, Zhang X, Mourshed M, Hui Y. Evaluating multiple parameters dependency of base temperature for heating degree-days in building energy prediction. Build Simul. 2021 Aug 1;14(4):969–85.
  • [30] Wang T, Teng F. Damage function uncertainty increases the social cost of methane and nitrous oxide. Nat Clim Chang. 2023 Nov 1;13(11):1258–65.
  • [31] Sözen A, Isikan O, Menlik T, Arcaklioglu E. The forecasting of net electricity consumption of the consumer groups in Türkiye. Energy Sources, Part B: Economics, Planning and Policy. 2011;6(1):20–46.
  • [32] Shahzad B. K., Yousaf M. Coal Fired Power Plants: Emission Problems and Controlling Techniques. Journal of Earth Science and Climatic Change. 2017, 8(7), 1000404, 1-9.
  • [33] Ulaş A., (2010). Binalarda TS 825 hesap yöntemine göre ısı kaybı, yakıt tüketimi, karbondioksit emisyonu hesabı ve maliyet analizi, Yüksek Lisans Tezi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, Makina Mühendisliği Anabilim Dalı, Ankara
  • [34] Kon O., Determining theoretically and practically the optimum insulation thickness of buildings used for different purposes according to heating and cooling loads, 2014. PhD thesis, Balikesir University, Türkiye.
  • [35] TS 825. Thermal Insulation Requirements in Buildings. Turkish Standards Institution, 2013, Ankara. Türkiye.
  • [36] K. Jraida, A. Farchi, B. Mounir, I. Mounir, A study on the optimum insulation thicknesses of building walls with respect to different zones in Morocco. International Journal of Ambient Energy, 38(6), 2017, 550–555.
  • [37] Unal F, Ozkan DB. Application of exergoeconomic analysis for power plants. Thermal Science. 2018;22(6 Part A):2653-66.
  • [38] Unal, F., and Acar, M. Ş. (2024). Exergoeconomic analysis of a solar assisted organic Rankine cycle: Case study of Mardin, Türkiye. Thermal Science, (00), 192-192.
  • [39] Ünal, F., and D. B. Özkan. "Tunçbilek Termik Santralinin Enerji ve Ekserji Analizi.Tesisat Mühendisliği 143 (2014): 5-13.

INVESTIGATION OF CARBON DIOXIDE EMISSIONS RELEASED FROM POWER PLANTS DUE TO ELECTRIC ENERGY CONSUMPTION DURING THE COOLING PERIOD OF RESIDENTIAL BUILDINGS

Year 2024, Volume: 9 Issue: 2, 42 - 60

Abstract

This study calculated the amount of carbon dioxide released during electricity production in power plants, focusing on using electrical energy in buildings during the cooling period. The emissions were analysed based on different fuels used in power plants, including semi-anthracite, bituminous and lignite coal, methane, propane, and butane. To determine the electrical energy consumption of buildings during the cooling period, cooling degree day values and the building envelope heat transfer coefficient were utilised. The calculations for cooling degree days were based on long-term averages, including average temperature, average high temperature, maximum temperature, and TS 825 temperature values from 1929 to 2023. The building envelope heat transfer coefficient values were sourced from TS 825. As a result, the highest carbon dioxide (CO2) emissions were calculated for semi-anthracite, ranging from 11.008 to 70.332 kg/m², while the lowest emissions were for methane, ranging from 6.265 to 40.021 kg/m².

References

  • [1] Ditl P, Šulc R. Calculations of CO2 emission and combustion efficiency for various fuels. Energy. 2024 Mar 1;290.
  • [2] Bal H, Çağlı ZŞ, Uslu B, Keleş CÖ. Exergy-Based analysis of CO2e reduction by campus solar energy installation for sustainability improvement. InE3S Web of Conferences 2024 (Vol. 545, p. 02004). EDP Sciences.
  • [3] Cârdu M, Baica M. Regarding a new variant methodology to estimate the ecologic impact of thermopower plants globally. Energy conversion and management. 1999 Sep 1;40(14):1569-75.
  • [4] Porteiro R, Nesmachnow S, Moreno-Bernal P, Torres-Aguilar CE. Computational intelligence for residential electricity consumption assessment: detecting household air conditioner use. Sustainable Energy Technologies and Assessments. 2023 Aug 1;58:103319.
  • [5] Kristanto A. Electrical Energy Audit in Pakuwon City Mall 2 Building for Efficiency. JEECS (Journal of Electrical Engineering and Computer Sciences). 2023 Jun 30;8(1):71-82.
  • [6] KC B, Ruth M. Estimation and projection of institutional building electricity consumption. Energy Build. 2017 May 15;143:43–52.
  • [7] Kim HG, Kim SS, Ahn H. Data-driven analysis of heating and cooling base temperatures for buildings: Case studies in South Korea. Energy Build. 2024 Nov 1;322.
  • [8] Javed F. Impact of Climate Change on Electricity Consumption: A Case Study of Pakistan. Human Nature Journal of Social Sciences [Internet]. 2021;2(2):1–19. Available from: http://hnpublisher.com
  • [9] Eisapour AH, Kashan ME, Fung AS. Integrating insulated concrete form (ICF) with solar-driven reverse osmosis desalination for building integrated energy storage in cold climates. J Energy Storage. 2024 Sep 20;98.
  • [10] Zhang M, Zhang K, Hu W, Zhu B, Wang P, Wei YM. Exploring the climatic impacts on residential electricity consumption in Jiangsu, China. Energy Policy. 2020 May 1;140.
  • [11] Fikru MG, Gautier L. The impact of weather variation on energy consumption in residential houses. Appl Energy. 2015 Apr 5;144:19–30.
  • [12] Marten AL, Newbold SC. Estimating the social cost of non-CO 2 GHG emissions: Methane and nitrous oxide. Energy Policy. 2012 Dec;51:957–72.
  • [13] Craig CA, Feng S. Exploring utility organization electricity generation, residential electricity consumption, and energy efficiency: A climatic approach. Appl Energy. 2017 Jan 1;185:779–90.
  • [14] Zheng S, Huang G, Zhou X, Zhu X. Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China. Appl Energy. 2020 Mar 1;261.
  • [15] Xu P, Huang YJ, Miller N, Schlegel N, Shen P. Impacts of climate change on building heating and cooling energy patterns in California. Energy. 2012;44(1):792–804.
  • [16] Shakouri G. H. The share of cooling electricity in global warming: Estimating the loop gain for the positive feedback. Energy. 2019 Jul 15;179:747–61.
  • [17] Ye H, Hu X, Ren Q, Lin T, Li X, Zhang G, et al. Effect of urban micro-climatic regulation ability on public building energy usage carbon emission. Energy Build. 2017 Nov 1;154:553–9.
  • [18] Zhang M, Chen Y, Hu W, Deng N, He W. Exploring the impact of temperature change on residential electricity consumption in China: The ‘crowding-out’ effect of income growth. Energy Build. 2021 Aug 15;245.
  • [19] Kheiri F, Haberl JS, Baltazar JC. Split-degree day method: A novel method for improving building energy performance estimation. Energy Build. 2023 Jun 15;289.
  • [20] Li J, He X, Li W, Zhang M, Wu J. Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory. Electric Power Systems Research. 2023 May 1;218.
  • [21] Can OF, Celik N, Dagtekin I. Energetic-exergetic-economic analyses of a cogeneration thermic power plant in Türkiye. International Communications in Heat and Mass Transfer. 2009 Dec;36(10):1044–9.
  • [22] Filonchyk M, Peterson MP. An integrated analysis of air pollution from US coal-fired power plants. Geoscience Frontiers. 2023 Mar 1;14(2).
  • [23] Kaghembega WSH, Chen S, Tchewafei A, Lionel KBF. Paper: Modeling and scenario analysis of residential building energy conservation in cities of different weather. Energy Reports. 2024 Jun 1;11:2670–84.
  • [24] Islam MS, Khatun MS, Biswas MHA. Mathematical modelling of using renewable energy in the power sectors for the sustainable environment. Mathematical Modelling and Numerical Simulation with Applications. 2024 Jun 30;4(2):216–37.
  • [25] Kon O, Caner İ. Investigating electricity produced in power plants and used for cooling buildings with a life cycle approach of carbon capture and storage technology. Journal of New Results in Science. 2022 Apr 30;11(1):77–90.
  • [26] Kusi E, Boateng I, Danso H. Energy consumption and carbon emission of conventional and green buildings using building information modelling (BIM). International Journal of Building Pathology and Adaptation. 2024
  • [27] Baig K S, M Y. Coal Fired Power Plants: Emission Problems and Controlling Techniques. J Earth Sci Clim Change. 2017;08(07).
  • [28] Yurtsever Ö. A practical methodology for predicting electricity consumption of urban residential buildings. Environ Prog Sustain Energy. 2022 Sep 1;41(5).
  • [29] Meng Q, Xi Y, Zhang X, Mourshed M, Hui Y. Evaluating multiple parameters dependency of base temperature for heating degree-days in building energy prediction. Build Simul. 2021 Aug 1;14(4):969–85.
  • [30] Wang T, Teng F. Damage function uncertainty increases the social cost of methane and nitrous oxide. Nat Clim Chang. 2023 Nov 1;13(11):1258–65.
  • [31] Sözen A, Isikan O, Menlik T, Arcaklioglu E. The forecasting of net electricity consumption of the consumer groups in Türkiye. Energy Sources, Part B: Economics, Planning and Policy. 2011;6(1):20–46.
  • [32] Shahzad B. K., Yousaf M. Coal Fired Power Plants: Emission Problems and Controlling Techniques. Journal of Earth Science and Climatic Change. 2017, 8(7), 1000404, 1-9.
  • [33] Ulaş A., (2010). Binalarda TS 825 hesap yöntemine göre ısı kaybı, yakıt tüketimi, karbondioksit emisyonu hesabı ve maliyet analizi, Yüksek Lisans Tezi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, Makina Mühendisliği Anabilim Dalı, Ankara
  • [34] Kon O., Determining theoretically and practically the optimum insulation thickness of buildings used for different purposes according to heating and cooling loads, 2014. PhD thesis, Balikesir University, Türkiye.
  • [35] TS 825. Thermal Insulation Requirements in Buildings. Turkish Standards Institution, 2013, Ankara. Türkiye.
  • [36] K. Jraida, A. Farchi, B. Mounir, I. Mounir, A study on the optimum insulation thicknesses of building walls with respect to different zones in Morocco. International Journal of Ambient Energy, 38(6), 2017, 550–555.
  • [37] Unal F, Ozkan DB. Application of exergoeconomic analysis for power plants. Thermal Science. 2018;22(6 Part A):2653-66.
  • [38] Unal, F., and Acar, M. Ş. (2024). Exergoeconomic analysis of a solar assisted organic Rankine cycle: Case study of Mardin, Türkiye. Thermal Science, (00), 192-192.
  • [39] Ünal, F., and D. B. Özkan. "Tunçbilek Termik Santralinin Enerji ve Ekserji Analizi.Tesisat Mühendisliği 143 (2014): 5-13.
There are 39 citations in total.

Details

Primary Language English
Subjects Energy, Thermal Power Systems
Journal Section Research Article
Authors

İsmail Caner 0000-0003-1232-649X

Okan Kon 0000-0002-5166-0258

Publication Date
Submission Date October 2, 2024
Acceptance Date November 30, 2024
Published in Issue Year 2024 Volume: 9 Issue: 2

Cite

APA Caner, İ., & Kon, O. (n.d.). INVESTIGATION OF CARBON DIOXIDE EMISSIONS RELEASED FROM POWER PLANTS DUE TO ELECTRIC ENERGY CONSUMPTION DURING THE COOLING PERIOD OF RESIDENTIAL BUILDINGS. The International Journal of Energy and Engineering Sciences, 9(2), 42-60.

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