Abstract
In recent years, escalating cost of generating electricity, substantial investments with the purpose of building power plants, and environmental pollution related to the power generation have underlined the importance of optimal power supply and demand management. Given that, by employing Long-range Energy Alternatives Planning (LEAP) software, the present study set out to optimize the energy system of Iran through two model capabilities, namely electric sector optimization and simulation. To do so, the energy system was initially evaluated by optimizing Iran's demand for electricity by the Demand Side Management (DSM) scenario. Then, Iran's electricity sector was optimized to generate electricity at the lowest cost by setting emission roof with different scenarios, especially the Optimized scenario. The social cost and GHG emission were evaluated in both steps. The prospective social costs of the electricity generation sector based on Optimized and DSM scenarios were calculated to be 5.1 and 4.8 Billion U.S. Dollars in 2035. Regarding the environmental results of the study, the emission rates of pollutants based on Optimized and DSM scenarios were reported to be144 and 429 \({\mathrm{MtCO}}_{2}\) for the same year.
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References
ACEEE. (2018). The State Energy Efficiency Scorecard, American Council for an Energy-Efficient Economy. https://aceee.org/state-policy/scorecard (Accessed 21 August 2019).
Ardebili, S. M. S. (2020). Green electricity generation potential from biogas produced by anaerobic digestion of farm animal waste and agriculture residues in Iran. Renewable Energy, 154, 29–37. https://doi.org/10.1016/j.renene.2020.02.102
Ates, 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, 90, 417–428. https://doi.org/10.1016/j.energy.2015.07.059
Basiri, S. K., Sobhani, F. M., & Sadjadi, S. J. (2020). Developing naturalgas-supply security to mitigate distribution disruptions: A case study of the National Iranian Gas Company. Journal of Cleaner Production, 254, 120066. https://doi.org/10.1016/j.jclepro.2020.120066
Bautista, S. (2012). A sustainable scenario for Venezuelan power generation sector in 2050 and its costs. Energy Policy, 44, 331–340. https://doi.org/10.1016/j.enpol.2012.01.060
Cai, L., Guo, J., & Zhu, L. (2013). China’s future power structure analysis based on LEAP. Energy Sources. Part A Recover. Util. Environ. Eff, 35, 2113–2122. https://doi.org/10.1080/15567036.2013.764361
Cai, W., Wang, C., Chen, J., Wang, K., Zhang, Y., & Lu, X. (2008). Comparison of CO2 emission scenarios and mitigation opportunities in China’s five sectors in 2020. Energy Policy, 36, 1181–1194. https://doi.org/10.1016/j.enpol.2007.11.030
Chontanawat, J., Wiboonchutikula, P., & Buddhivanich, A. (2014). Decomposition analysis of the change of energy intensity of manufacturing industries in Thailand. Energy, 77, 171–182. https://doi.org/10.1016/j.energy.2014.05.111
Chung, W.-S., Kim, S.-S., Moon, K.-H., Lim, C.-Y., & Yun, S.-W. (2017). A conceptual framework for energy security evaluation of power sources in South Korea. Energy, 137, 1066–1074. https://doi.org/10.1016/j.energy.2017.03.108
Energy balance. (2013). Tehran: Iran Ministry of Power; 2013. - In Persian.
Eto, J. (1996). The Past, Present, and Future of U.S Utility Demand-Side Management Programs, Ernest Orlando Berkeley National Laboratory.
European commission: Joint research center (JRC). (2014). Energy technology reference indicator projections for 2010–2050.
Farrokhifar, M., Nie, Y., & Pozo, D. (2020). Energy systems planning: A survey on models for integrated power and natural gas networks coordination. Applied Energy, 262, 114567. https://doi.org/10.1016/j.apenergy.2020.114567
Ferguson, R., Wilkinson, W., & Hill, R. (2000). Electricity use and economic development. Energy Policy, 28, 923–934. https://doi.org/10.1016/S0301-4215(00)00081-1
Ghadaksaz, H., & Saboohi, Y. (2020). Energy supply transformation pathways in Iran to reduce GHG emissions in line with the Paris Agreement. Energy Strategy Reviews, 32, 100541. https://doi.org/10.1016/j.esr.2020.100541
Good, N. (2019). Using behavioural economic theory in modelling of demand response. Applied Energy, 239, 107–116. https://doi.org/10.1016/j.apenergy.2019.01.158
IEA. (2009). World Energy Outlook 2009. Paris, France: International Energy Agency.
IEA. (2011). Emission from Fuel Combustion, International Energy Agency, (2011 Edition).
IEA. (2012). Emissions from Fuel Combustion, International Energy Agency.
Ikram, M., Zhang, Q., Sroufe, R., & Shah, S. Z. A. (2020). Towards a sustainable environment: The nexus between ISO 14001, renewable energy consumption, access to electricity, agriculture and CO2 emissions in SAARC countries. Sustainable Production and Consumption, 22, 218–230. https://doi.org/10.1016/j.spc.2020.03.011
Jaccard, M. (1992). Regulation of energy utilities in Canada: where do we go from here?, Energy Stud. Rev, 4. https://doi.org/10.15173/esr.v4i3.283.
Kachoee, M. S., Salimi, M., & Amidpour, M. (2018). The long-term scenario and greenhouse gas effects cost-benefit analysis of Iran’s electricity sector. Energy, 143, 585–596. https://doi.org/10.1016/j.energy.2017.11.049
Lauer, M., Leprich, U., & Thrän, D. (2020). Economic assessment of flexible power generation from biogas plants in Germany’s future electricity system. Renewable Energy, 146, 1471–1485. https://doi.org/10.1016/j.renene.2019.06.163
Le, T.-H., & Nguyen, C. P. (2019). Is energy security a driver for economic growth? Evidence from a global sample. Energy Policy, 129, 436–451. https://doi.org/10.1016/j.enpol.2019.02.038
Letschert, V., Desroches, L.-B., Ke, J., & McNeil, M. (2013). Energy efficiency–How far can we raise the bar? Revealing the potential of best available technologies. Energy, 59, 72–82. https://doi.org/10.1016/j.energy.2013.06.067
Li, Y. P., & Huang, G. H. (2012). Electric-power systems planning and greenhouse-gas emission management under uncertainty. Energy Convers. Manag, 57, 173–182. https://doi.org/10.1016/j.enconman.2011.12.018
Liu, D., Yang, D., & Huang, A. (2021). LEAP-Based Greenhouse Gases Emissions Peak and Low Carbon Pathways in China’s Tourist Industry. International Journal of Environmental Research and Public Health, 18, 1218. https://doi.org/10.3390/ijerph18031218
Love, p. (2015). The past, present and future of energy conservation in Ontario. Energy Regulation Quarterly, 3.
Lund, H., Arler, F., Østergaard, P. A., Hvelplund, F., Connolly, D., Mathiesen, B. V., & Karnøe, P. (2017). Simulation versus optimisation: Theoretical positions in energy system modelling. Energies, 10(7), 840. https://doi.org/10.3390/en10070840
Lyden, A., Pepper, R., & Tuohy, P. G. (2018). A modelling tool selection process for planning of community scale energy systems including storage and demand side management. Sustainable Cities and Society, 39, 674–688. https://doi.org/10.1016/j.scs.2018.02.003
Mahbub, M. S., Viesi, D., Cattani, S., & Crema, L. (2017). An innovative multi-objective optimization approach for long-term energy planning. Applied Energy, 208, 1487–1504. https://doi.org/10.1016/j.apenergy.2017.08.245
Masoomi, M., Panahi, M., & Samadi, R. (2020). Scenarios evaluation on the greenhouse gases emission reduction potential in Iran’s thermal power plants based on the LEAP model. Environmental Monitoring and Assessment, 192, 235. https://doi.org/10.1007/s10661-020-8196-3
McPherson, M., & Karney, B. (2014). Long-term scenario alternatives and their implications: LEAP model application of Panama׳ s electricity sector. Energy Policy, 68, 146–157. https://doi.org/10.1016/j.enpol.2014.01.028
Ming, Z., Song, X., Mingjuan, M., Lingyun, L., Min, C., & Yuejin, W. (2013). Historical review of demand side management in China: Management content, operation mode, results assessment and relative incentives. Renewable and Sustainable Energy Reviews, 25, 470–482. https://doi.org/10.1016/j.rser.2013.05.020
Ouedraogo, N. S. (2017a). Africa energy future: Alternative scenarios and their implications for sustainable development strategies. Energy Policy, 106, 457–471. https://doi.org/10.1016/j.enpol.2017.03.021
Ouedraogo, N. S. (2017b). Modeling sustainable long-term electricity supply-demand in Africa. Applied Energy, 190, 1047–1067. https://doi.org/10.1016/j.apenergy.2016.12.162
Pape-Salmon, A., & Berkout, T. (2018). Case study: British Columbia, in: P. Love (Ed.), Fundamentals of Energy Efficiency: Policy, Programs and Best Practices, 143–156.
Park, K., Shin, D., & Yoon, E. S. (2011). The cost of energy analysis and energy planning for emerging, fossil fuel power plants based on the climate change scenarios. Energy, 36, 3606–3612. https://doi.org/10.1016/j.energy.2011.03.080
Park, S., Lee, S., Jeong, S. J., Song, H.-J., & Park, J.-W. (2010). Assessment of CO2 emissions and its reduction potential in the Korean petroleum refining industry using energy-environment models. Energy, 35, 2419–2429. https://doi.org/10.1016/j.energy.2010.02.026
Perissi, I., Martelloni, G., Bardi, U., Natalini, D., Jones, A., Nikolaev, A., Eggler, L., Baumann, M., Samsó, R., & Solé, J. (2021). Cross-Validation of the MEDEAS Energy-Economy-Environment Model with the Integrated MARKAL-EFOM System (TIMES) and the Long-Range Energy Alternatives Planning System (LEAP). Sustainability, 13, 1967. https://doi.org/10.3390/su13041967
Phdungsilp, A., & Wuttipornpun, T. (2010). Modeling Energy Consumption and CO2 Emissions in Thailand’s Manufacturing Sector. AIJSTPME, 3, 29–35.
Prina, M. G., Lionetti, M., Manzolini, G., Sparber, W., & Moser, D. (2019). Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning. Applied Energy, 235, 356–368. https://doi.org/10.1016/j.apenergy.2018.10.099
Pukšec, T., Mathiesen, B. V., Novosel, T., & Duić, N. (2014). Assessing the impact of energy saving measures on the future energy demand and related GHG (greenhouse gas) emission reduction of Croatia. Energy, 76, 198–209. https://doi.org/10.1016/j.energy.2014.06.045
Ramanathan, R., & Sudhakara Reddy, B. (1995). Conservation and deferral potentials of demand side management programmes: A case study. International Journal of Energy Research, 19, 493–505. https://doi.org/10.1002/er.4440190604
Rehman, E., Ikram, M., Rehman, S. H., & Feng, M. T. (2021). Growing green? Sectoral-based prediction of GHG emission in Pakistan: A novel NDGM and doubling time model approach. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-020-01163-5
Rogan, F., Cahill, C. J., Daly, H. E., Dineen, D., Deane, J. P., Heaps, C., Welsch, M., Howells, M., Bazilian, M., & Gallachóir, B. P. Ó. (2014). LEAPs and bounds—an energy demand and constraint optimised model of the Irish energy system. Energy Effic, 7, 441–466. https://doi.org/10.1007/s12053-013-9231-9
Rosenow, J. (2012). Energy savings obligations in the UK—a history of change. Energy Policy, 49, 373–382. https://doi.org/10.1016/j.enpol.2012.06.052
Schmidt, J., Kemmetmüller, W., & Kugi, A. (2017). Modeling and static optimization of a variable speed pumped storage power plant. Renewable Energy, 111, 38–51. https://doi.org/10.1016/j.renene.2017.03.055
SEI-Stockholm Environment Institute, Tellus Institute. (2011). Leap: Long Range Energy Alternative Planning System, Quick start guide for using optimization in LEAP;2011. https://www.energycommunity.org/documents/OptimizationQuickStart.pdf
SEI-Stockholm Environment Institute, Tellus Institute. (2006). Leap: Long Range Energy Alternative Planning System, User Guide for LEAP; 2006. http://www.energycomunity.org/documents/leap2006UserGuideEnglish.pdf.
Shrestha, R. M., & Marpaung, C. O. P. (2006). Integrated resource planning in the power sector and economy-wide changes in environmental emissions. Energy Policy, 34, 3801–3811. https://doi.org/10.1016/j.enpol.2005.08.017
Siano, P. (20140. Demand response and smart grids—A survey. Renew. Sustain. energy Rev, 30, 461–478. https://doi.org/10.1016/j.rser.2013.10.022.
Solaymani, S. (2020). A demand-side assessment of sustainable energy security in Iran. International Journal of Energy and Water Resources, 4, 307–320. https://doi.org/10.1007/s42108-020-00079-0
Song, Y., Ming, Z., & Ruifeng, S. (2019). Using a new aggregated indicator to evaluate China’s energy security. Energy Policy, 132, 167–174. https://doi.org/10.1016/j.enpol.2019.05.036
Statistical Review of World Energy economics BP Global. (2017). Retrieved from http://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html. Accessed: 2017–10–05.
Yang, D., Liu, D., Huang, A., Lin, J., & Xu, L. (2021). Critical transformation pathways and socio-environmental benefits of energy substitution using a LEAP scenario modeling. Renewable and Sustainable Energy Reviews, 135, 110116. https://doi.org/10.1016/j.rser.2020.110116
Yue, X., Pye, S., DeCarolis, J., Li, F. G. N., Rogan, F., & Gallachoir, B. O. (2018). A review of approaches to uncertainty assessment in energy system optimization models. Energy Strateg Rev, 21, 204–217. https://doi.org/10.1016/j.esr.2018.06.003
Zhao, X., Ma, Q., & Yang, R. (2013). Factors influencing CO2 emissions in China’s power industry: Co-integration analysis. Energy Policy, 57, 89–98. https://doi.org/10.1016/j.enpol.2012.11.037
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. https://doi.org/10.1016/j.rser.2015.01.056
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Masoomi, M., Panahi, M. & Samadi, R. Demand side management for electricity in Iran: cost and emission analysis using LEAP modeling framework. Environ Dev Sustain 24, 5667–5693 (2022). https://doi.org/10.1007/s10668-021-01676-7
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DOI: https://doi.org/10.1007/s10668-021-01676-7