Skip to main content

Advertisement

Log in

Scenarios evaluation on the greenhouse gases emission reduction potential in Iran’s thermal power plants based on the LEAP model

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Over the past few years, the pace of fossil fuel consumption has witnessed an accelerating trend across the world which has been really noticeable especially for the power generation sector. With regard to its global importance, the environment must be also preserved and emissions of pollutants and greenhouse gases (GHGs) as well as environmental costs need to be moderated. Given the urgency of energy preservation and environmental issues, the process of electricity generation should be evaluated. Accordingly, elimination of conditions along with prediction of energy consumption and pollutant emissions have been performed through energy simulation and modeling software tools, e.g., Long-range Energy Alternatives Planning System (LEAP). The energy consumption in thermal power plants for 2035 is estimated to be 209.7, 153.5, and 132.0 Bcm respectively for Reference (REF), Efficiency based on 5-Year National Development Plan (E5P), and Efficiency similar to UK (EUK) scenarios using efficiency improvement scenario of thermal power plants in Iran. GHG emissions for 2035 are thus predicted by 456.8 MtCO2-eq for the REF scenario, and 332.6 and 285.1 MtCO2-eq for the E5P and the EUK ones, respectively. Environmental costs for electricity generation system will also diminish via applying scenarios in this sector and its least amount, that is, US$835.8 million is related to the EUK scenario. Accomplishing goals such as better preservation of fossil resources and the environment will be consequently facilitated through improved efficiency and effectiveness of consumption of energy resources. To meet the objectives of environmental preservation, it is suggested to completely implement development plans and also make attempts to promote the technology of thermal power plants in Iran similar to that in developed countries. This study also compares the findings with those reported in recently published investigations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Ataei, A., & Ebadi, S. M. (2015). Environmental and economic optimization model for electric system planning in Qazvin, Iran: a LEAP model. American Institute of Science, 1, 112–120.

    Google Scholar 

  • Attes, S. A. (2015). Energy efficiency and CO2 mitigation potential of the Turkish iron and steel industry using the LEAP (long-range energy alternatives planning) system. Energy, 1–12.

  • Bing Bi, G.-B., Song, W., et al. (2014). Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model. Energy Policy, 66, 537–546.

    Google Scholar 

  • Cai, W., Wang, C., Wang, K., Zhang, Y., & Chen, J. (2007). Scenario analysis on CO2 emissions reduction potential in china’s electricity sector. Energy Policy, 35, 6445–6456.

    Google Scholar 

  • Choi, Y., Zhang, N., & Zhou, P. (2012). Efficiency and abatement costs of energy-related CO2 emission in china: a slacks-based efficiency measure. Applied Energy, 98, 198–208.

    Google Scholar 

  • Cohan, D. S., & Douglass, C. (2011). Potential emissions reductions from grandfathered coal power plants in the United States. Energy Policy, 39, 4816–4822.

    CAS  Google Scholar 

  • Ediger, V. Ş., Hoşgör, E., Sürmeli, A. N., & Tatlıdil, H. (2007). Fossil fuel sustainability index: an application of resource management. Energy Policy, 35, 2969–2977.

    Google Scholar 

  • Fleishman, R., Alexander, R., et al. (2009). Dose regulation stimulate productivity? The effect of air quality policies on the efficiency of US power plant. Energy Policy, 37(11), 4574–4582.

    Google Scholar 

  • Gargiulo, M., & Ó Gallachóir, B. (2013). Long-term energy models: principles, characteristics, focus, and limitations. WIREs Energy and Environment, 2, 158–177.

    Google Scholar 

  • Ghosh, S. (2010). Status of thermal power generation in India—perspectives on capacity, generation and carbon dioxide emissions. Energy Policy, 38, 6886–6899.

    Google Scholar 

  • Hammons, T. J. (2006). Impact of electric power generation on greenhouse gas emissions in Europe: Russia, Greece, Italy and views of the EU Power Plant Supply Industry – a critical analysis. Electrical Power and Energy Systems, 28, 548–564.

    Google Scholar 

  • Han, Y., Long, C., Geng, Z., & Zhang, K. (2018). Carbon emission analysis and evaluation of industrial departments in China: an improved environmental DEA cross model based on information entropy. Journal of Environmental Management, 205, 298–307.

    Google Scholar 

  • Handayani, K., Krozer, Y., & Filatova, T. (2017). Trade-offs between electrification and climate change mitigation: An analysis of the Java-Bali power system in Indonesia. Applied Energy, 208, 1020–1037.

    Google Scholar 

  • Handayani, K., Filatova, T., Krozer, Y., & Anugrah, P. (2020). Seeking for a climate change mitigation and adaptation nexus: analysis of a long-term power system expansion. Applied Energy, 262, 114485. https://doi.org/10.1016/j.apenergy.2019.114485.

    Article  Google Scholar 

  • Hasanbeigi, A., Morrow, W., Masanet, E., Sathaye, J., & Xu, T. (2013a). Energy efficiency improvement and CO2 emissions reduction opportunities in the cement industry in China. Energy Policy, 57, 287–297.

    Google Scholar 

  • Hasanbeigi, A., Morrow, W., Sathaye, J., Masanet, E., & Xu, T. (2013b). A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry. Energy, 50, 315–325.

    Google Scholar 

  • Hasanbeigi, A., Morrow, W., Sathaye, J., Masanet, E., & Xu, T. (2013c). Assessment of energy efficiency improvement and CO2 emission reduction potentials in the iron and steel industry in China. U.S. Environmental Protection Agency, Lawrence Berkeley National Laboratory, LBNL-5535E.

  • Indo-German centre for sustainability-IGCS. (2014). Long-term energy and development pathways for India, JUNE 2014 IIT Madras Chennai. www. Energycommunity.org.

  • Indo-German centre for sustainability-IGES. (2005). Institute for global environmental strategies. Urban environmental management challenges in Asia. Japan: IGES.

    Google Scholar 

  • Jabber, J. O. (2002). Future energy consumption and greenhouse gas emissions in Jordanian industries. Applied Energy, 71, 15–30.

    Google Scholar 

  • Janet Ruiz-Mendoza, B., & Sheinbaum-Pardo, C. (2010). Electricity sector reforms in four Latin-American countries and their impact on carbon dioxide emissions and renewable energy. Energy Policy, 38, 6755–6766.

    Google Scholar 

  • Kong, L., Price, L., Hasanbeigi, A., Liu, H., & Li, J. (2013). Potential for reducing paper mill energy use and carbon dioxide emissions through plant-wide energy audits: a case study in China. Applied Energy, 102, 1334–1342.

    Google Scholar 

  • Lam, P., & Shiu, A. (2001). A data envelopment analysis of the efficiency of China’s thermal power generation. Utilities Policy, 10(2), 75–83.

    Google Scholar 

  • Mikulčić, H., Vujanović, M., & Duić, N. (2013). Reducing the CO2 emissions in Croatian cement industry. Applied Energy, 101, 41–48.

    Google Scholar 

  • Morrow, W., Hasanbeigi, A., Sathaye, J., Masanet, E., & Xu, T. (2012). Assessment of energy efficiency improvement and CO2 emission reduction potentials in India’s iron and steel industry. Berkeley: U.S. Environmental Protection Agency. Lawrence Berkeley National Laboratory.

    Google Scholar 

  • Ouedraogo, N. S. (2017a). Africa energy future: alternative scenarios and their implications for sustainable development strategies. Energy Policy, 106, 457–471.

    Google Scholar 

  • Ouedraogo, N. S. (2017b). Modeling sustainable long-term electricity supply-demand in Africa. Applied Energy, 190, 1047–1067.

    Google Scholar 

  • Pachauri, R. K. (2007). Climate change 2007: synthesis report. Contribution of working groups І, ІІ and ІІІ to the fourth assessment report of the intergovernmental panel on climate change, 446 (November) IPCC.

  • Pan, L., Xie, Y., et al. (2013). An analysis of emission reduction of chief air pollutants and greenhouse gases in Beijing based on the LEAP model. Procedia Environmental Sciences, 18, 347–352.

    CAS  Google Scholar 

  • Porzio, G. F., Fornai, B., Amato, A., Matarese, N., Vannucci, M., Chiappelli, L., & Colla, V. (2013). Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – an example of application to the steel industry. Applied Energy, 112, 818–833.

    Google Scholar 

  • Ramana, M. V., & Kumar, A. (2009). Least cost principles and electricity planning for Karnataka. Energy for Sustainable Development, 13, 225–234.

    Google Scholar 

  • Rogge, K. S., Schneider, M., & Hoffmann, V. H. (2011). The innovation impact of the EU emission trading system-findings of company case studies in the German power sector. Ecological Economics, 70, 513–523.

    Google Scholar 

  • Rosen, M. A. (2009). Energy, environmental, health and cost benefits of cogeneration from fossil fuels and nuclear energy using the electrical utility facilities of a province. Energy for Sustainable Development, 13, 43–51.

    Google Scholar 

  • SEI, Stockholm Environment Institute. (2011). User guide, IEAP: Long-range energy alternative planning system. Boston: Stockholm Environment Institute.

    Google Scholar 

  • SEI, Stockholm Environment Institute, Tellus Institute. (2006). LEAP: long-Range Energy Alternative Planning System, User Guide for LEAP; 2006http://www.energycommunity.org/documents/Leap2006UserGudeEnglish.pdf.

  • Shrestha, R. M., & Timilsina, G. R. (1997). SO2 emission intensities of the power sector in Asia: effects of generation-mix and fuel-intensity changes. Energy Economics, 19, 355–362.

    Google Scholar 

  • Siitonen, S., Tuomaala, M., Suominen, M., & Ahtila, P. (2010). Implications of process energy efficiency improvements for primary energy consumption and CO2 emissions at the national level. Applied Energy, 87, 2928–2937.

    CAS  Google Scholar 

  • Turner, K., Pearce, D. W., & Bateman, I. (2010). Environmental economics: as elementary introduction. Translated from Persian by S. Dehghanian., A. Kochaki., A. K. Ahari. Ferdowsi University of Mashhad.

  • Wang, Y., Gu, A., & Zhang, A. (2010). Recent development of energy supply and demand in China, and energy sector prospects through 2030. Energy Policy.

  • Wang, K., Lu, B., & Wei, Y. (2013). China’s regional energy and environmental efficiency: a range-adjusted measure based analysis. Applied Energy, 112, 1403–1415.

    Google Scholar 

  • Worrel, E., Blinde, P., Neelis, M., Blomen, E., & Masanet, E. (2013).Energy efficiency improvement and cost saving opportunities for the U.S. iron and steel industry. U.S. Environmental Protection Agency, Lawrence Berkeley National Laboratory, LBNL-4779E.

  • Worrell, E., Price, L., Martin, N., Farla, J., & Schaeffer, R. (1997). Energy intensity in the iron and steel industry: a comparison of physical and economic indicators. Energy Policy, 25, 727–744.

    Google Scholar 

  • Xu, T., Sathaye, J., & Kramer, K. (2012). Development of bottom-up representation of industrial energy efficiency technologies in integrated assessment models for the pulp and paper sector. U.S. Environmental Protection Agency, Lawrence Berkeley National Laboratory. LBNL-5801E.

  • Xu, T., Galama, T., & Sathaye, J. (2013a). Reducing carbon footprint in cement material making: characterizing costs of conserved energy and reduced carbon emissions. Sustainable Cities and Society, 9, 54–61.

    Google Scholar 

  • Xu, T., Sathaye, J., & Kramer, K. (2013b). Sustainability options in pulp and paper making: costs of conserved energy and carbon reduction in the U.S. Sustainable Cities and Society, 8, 56–62.

    Google Scholar 

  • Yan, X., & Crookes, R. J. (2010). Energy demand and emissions from road transportation vehicles in China. Progress in Energy and Combustion Science, 36, 651–676.

    CAS  Google Scholar 

  • Yeo, J., Wang, Y., Kyoungjin An, A., & Zhang, L. (2019). Estimation of energy efficiency for educational buildings in Hong Kong. Journal of Cleaner Production, 235, 453–460.

    Google Scholar 

  • Yophy, H., Jeffrey, B. Y., & Chieh-Yu, P. (2011). The long-term forecast of Taiwan’s energy supply and demand: LEAP model application. Energy Policy, 39, 6790–6803.

    Google Scholar 

  • Yu, H., Pan, S. Y., Tang, B. J., Mi, Z. F., Zhang, Y., & Wei, Y. M. (2015). Urban energy consumption and CO2 emissions in Beijing: current and future. Energy Efficiency, 8, 527–543.

    Google Scholar 

  • Zecca, A., & Chiari, L. (2010). Fossil-fuel constraints on global warming. Energy Policy, 38, 1–3.

    CAS  Google Scholar 

  • Zhou, K., Yang, S., Shen, C., Ding, S., & Sun, C. (2015). Energy conservation and emission reduction of China’s electric power industry. Renewable and Sustainable Energy Reviews, 45, 10–19.

    Google Scholar 

Download references

Acknowledgments

We would like to express our gratitude to Ms. Najmeh Hesami and Aisan Khalili Azar for their valuable and constructive contributions during the implementation of this research work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mostafa Panahi.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

Table 4. Parameters units in LEAP modeling

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Masoomi, M., Panahi, M. & Samadi, R. Scenarios evaluation on the greenhouse gases emission reduction potential in Iran’s thermal power plants based on the LEAP model. Environ Monit Assess 192, 235 (2020). https://doi.org/10.1007/s10661-020-8196-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-020-8196-3

Keywords

Navigation