Comparative effectiveness of environmental regulation instruments: Case of the Moroccan electricity mix

Soufiyan Bahetta; Nabil Dahhou; Rachid Hasnaoui; Soufiyan Bahetta; Nabil Dahhou; Rachid Hasnaoui

doi:10.3934/energy.2021050

AIMS Energy

2021, Volume 9, Issue 5: 1097-1112. doi: 10.3934/energy.2021050

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Research article Topical Sections

Comparative effectiveness of environmental regulation instruments: Case of the Moroccan electricity mix

1.
Ibn tofail University of Kénitra, Faculty of Economics and Management—Laboratory of Economics and Management of Organizations
2.
Ibn tofail University of Kénitra, Faculty of Economics and Management—Laboratory of Economics and Management Organizations
3.
Ibn tofail University of Kénitra, Faculty of Economics and Management—Laboratory of Economics and Management Organizations

Received: 14 August 2021 Accepted: 18 October 2021 Published: 25 October 2021

Fossil fuels dominate the electricity mix of Morocco, the country is placing renewable energy at the heart of its energy strategy, to improve the security of supply and ensure environmental sustainability. However, the penetration of renewable energy technologies (RET) in the Moroccan electricity mix remains low due to an excess of investment in conventional energy technologies. This study first explores the characteristics of the Moroccan electricity mix before studying the dynamic effects of environmental regulatory instruments, in particular the carbon tax and the emission standards. To do so, we analyzed scenarios using a bottom-up linear and dynamic optimization model « OSeMOSYS» . We will therefore assess the impact of the carbon tax and the emission standards on RET adoption in the Moroccan electricity mix, over a period from 2015 to 2040. Our results suggest that environmental regulation in the electricity sector will lead to a large diversification of the Moroccan electricity mix with a large penetration of RET thus reducing the overall production of conventional energy technologies. Therefore, it follows that the carbon tax encourages the adoption of RET in the Moroccan electricity mix with significant reductions on fuel costs and operating & maintenance (O & M) costs of conventional energy technologies compared to emission standards.
- environmental regulation,
- electricity mix,
- energy transition,
- OSeMOSYS,
- optimisation
Citation: Soufiyan Bahetta, Nabil Dahhou, Rachid Hasnaoui. Comparative effectiveness of environmental regulation instruments: Case of the Moroccan electricity mix[J]. AIMS Energy, 2021, 9(5): 1097-1112. doi: 10.3934/energy.2021050

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Abstract

Fossil fuels dominate the electricity mix of Morocco, the country is placing renewable energy at the heart of its energy strategy, to improve the security of supply and ensure environmental sustainability. However, the penetration of renewable energy technologies (RET) in the Moroccan electricity mix remains low due to an excess of investment in conventional energy technologies. This study first explores the characteristics of the Moroccan electricity mix before studying the dynamic effects of environmental regulatory instruments, in particular the carbon tax and the emission standards. To do so, we analyzed scenarios using a bottom-up linear and dynamic optimization model « OSeMOSYS» . We will therefore assess the impact of the carbon tax and the emission standards on RET adoption in the Moroccan electricity mix, over a period from 2015 to 2040. Our results suggest that environmental regulation in the electricity sector will lead to a large diversification of the Moroccan electricity mix with a large penetration of RET thus reducing the overall production of conventional energy technologies. Therefore, it follows that the carbon tax encourages the adoption of RET in the Moroccan electricity mix with significant reductions on fuel costs and operating & maintenance (O & M) costs of conventional energy technologies compared to emission standards.

References

[1]	Haidi T, Cheddadi B, Mariami FE, et al. (2021) Wind energy development in Morocco: Evolution and impacts. Int J Electr Computer Eng 11: 2088-8708.
[2]	Ministère de l'énergie, des mines et de l'environnement (MEME)—Département de l'énergie, (2019). Secteur de l'énergie: Chiffres clés. Available from: https://www.observatoirenergie.ma./.
[3]	Herbst A, Toro F, Reitze F, et al. (2012) Introduction to energy systems modelling. Swiss J Econ Stat 148: 111-135. doi: 10.1007/BF03399363
[4]	Bazmi AA, Zahedi G (2011) Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review. Renewable Sustainable Energy Rev 15: 3480-3500. doi: 10.1016/j.rser.2011.05.003
[5]	Yang C, Yeh S, Zakerinia S, et al. (2015) Achieving California's 80% greenhouse gas reduction target in 2050: technology, policy and scenario analysis using CA-TIMES energy economic systems model. Energy Policy 77: 118-130. doi: 10.1016/j.enpol.2014.12.006
[6]	Awopone A, Zobaa A (2017) Analyses of optimum generation scenarios for sustainable power generation in Ghana. AIMS Energy 5: 193-208. doi: 10.3934/energy.2017.2.193
[7]	Leibowicz BD, Lanham CM, Brozynski MT, et al. (2018) Optimal decarbonization pathways for urban residential building energy services. Appl Energy 230: 1311-1325. doi: 10.1016/j.apenergy.2018.09.046
[8]	Palmer-Wilson K, Donald J, Robertson B, et al. (2019) Impact of land requirements on electricity system decarbonisation pathways. Energy Policy 129: 193-205. doi: 10.1016/j.enpol.2019.01.071
[9]	Chentouf M, Allouch M (2021) Assessment of renewable energy transition in Moroccan electricity sector using a system dynamics approach. Environ Prog Sustainable Energy 40: e13571. doi: 10.1002/ep.13571
[10]	Bahetta S, Rachid H (2021) Analyses of optimum production scenarios for sustainable power production in Morocco. Rev Econ Finance 19: 184-195.
[11]	Ministère de l'énergie, des mines et de l'environnement (MEME)—Département de l'environnement, (2019). Rapport de mise à jour biennale. Available from: https://unfccc.int/documents/208394.
[12]	Šimelytė A (2020) Promotion of renewable energy in Morocco. Energy Transform Towards Sustainability, 249-287.
[13]	Baumol WJ, Oates WE, Bawa VS, et al. (1988) The Theory of Environmental Policy. Cambridge university press.
[14]	Nguyen‐van P, Pham TKC (2019) Environmental Incentives Over Time: From the First Forms of Regulation to the Recognition of Cognitive Biases. Incentives Environ Policies: Theory to Empirical Novelties, 25-46. doi: 10.1002/9781119597490.ch2
[15]	Moriarty P, Honnery D (2018) Energy policy and economics under climate change. AIMS Energy 6: 272-290. doi: 10.3934/energy.2018.2.272
[16]	Chiroleu-Assouline M (2007) Efficacité comparée des instruments de régulation environnementale. Notes de synthèse du SESP 2: 7-17.
[17]	Linares P, Batlle C, Pérez-Arriaga IJ (2013) Environmental regulation. Regul Power Sector 539-579. doi: 10.1007/978-1-4471-5034-3_11
[18]	Kneese AV, Schultze CL (1975) Pollution, Prices, and Public. Policy. The Brookings InstituUon, Washington, DC.
[19]	Milliman SR, Prince R (1989) Firm incentives to promote technological change in pollution control. J Environ Econ Manage 17: 247-265. doi: 10.1016/0095-0696(89)90019-3
[20]	Jung Ch, Krutilla K, Boyd R (1996) Incentives for advanced pollution abatement technology at the industrylevel: An evaluation of policy alternatives. J Environ Econ Manage 30: 95-111. doi: 10.1006/jeem.1996.0007
[21]	Downing PB, White LJ (1986) Innovation in pollution control. J Environ Econ Manage 13: 18-29. doi: 10.1016/0095-0696(86)90014-8
[22]	Requate T, Unold W (2003) Environmental policy incentives to adopt advanced abatement technology:: Will the true ranking please stand up? Eur Econ Rev 47: 125-146. doi: 10.1016/S0014-2921(02)00188-5
[23]	Afif M (2012) Incitation à l'adoption de technologies propres. Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
[24]	H-Holger Rogner (2017) Introduction to Energy System Modelling. Available from: http://indico.ictp.it/event/8008/session/3/contribution/22/material/slides/0.pdf.
[25]	Howells M, Rogner H, Strachan N, et al. (2011) OSe-MOSYS: the open-source energy modeling system: an introduction to its ethos, structure and development. Energy Policy 39: 5850-5870. doi: 10.1016/j.enpol.2011.06.033
[26]	Citroen N, Ouassaid M, Maaroufi M (2015) Long term electricity demand forecasting using autoregressive integrated moving average model: Case study of Morocco. Int Conf Electr Information Technol (ICEIT), 59-64.
[27]	Office national de l'électricité et de l'eau potable (ONEE)—Branche d'électricité, (2015-2019). Chiffres clés, Available from: http://www.one.ma/.
[28]	Pfenninger S, Staffell I (2019) Renewables. ninja. Available from: https://www.renewables.ninja/.
[29]	Carlsson J, Fortes MDMP, de Marco G, et al. (2014) ETRI 2014-Energy technology reference indicator projections for 2010-2050. Europe-an Commission, Joint Research Centre, Institute for Energy and Transport.
[30]	International Energy Agency[IEA] (2020) Projected Costs of Generating Electricity.
[31]	Pappis I, Howells M, Sridharan V, et al. (2019). Energy projections for African countries. EUR, 29904.
[32]	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. doi: 10.1016/j.enpol.2014.01.028
[33]	Kousksou T, Allouhi A, Belattar M, et al. (2015) Morocco's strategy for energy security and low-carbon growth. Energy 84: 98-105. doi: 10.1016/j.energy.2015.02.048
[34]	Dagher L, Ruble I (2011) Modeling Lebanon's electricity sector: alternative scenarios and their implications. Energy 36: 4315-4326. doi: 10.1016/j.energy.2011.04.010
[35]	Rocco MV, Tonini F, Fumagalli EM, et al. (2020) Electrification pathways for Tanzania: implications for the economy and the environment. J Cleaner Prod 263: 121278. doi: 10.1016/j.jclepro.2020.121278
[36]	Abban J, Zobaa AF, Awopone A (2021) Techno-Economic and environmental analysis of energy scenarios in Ghana. Smart Grid Renewable Energy 12: 81-98. doi: 10.4236/sgre.2021.126006
[37]	Shrivastava P (1995) Environmental technologies and competitive advantage. Strategic Manage J 16: 183-200. doi: 10.1002/smj.4250160923
[38]	Dolter B, Rivers N (2018) The cost of decarbonizing the Canadian electricity system. Energy Policy 113: 135-148. doi: 10.1016/j.enpol.2017.10.040
[39]	Wang S, Tarroja B, Schell LS, et al. (2021) Determining cost-optimal approaches for managing excess renewable electricity in decarbonized electricity systems. Renewable Energy 178: 1187-1197. doi: 10.1016/j.renene.2021.06.093
[40]	Herath HA, Jung TY (2021) Carbon pricing and supporting policy tools for deep decarbonization; case of electricity generation of Sri Lanka. Carbon Manage, 1-20.
[41]	El Ghazi F, Sedra MB, Akdi M (2021) Energy transition from fossil to renewable sources in North Africa: Focus on the renewable electricity generation in Morocco. Int J Energy Econ Policy 11: 236-242. doi: 10.32479/ijeep.11036
[42]	Bahetta S, Rachid H (2021) Les énergies renouvelables comme vecteur de transition énergétique: une analyse des traits de la stratégie énergétique marocaine. Revue Afr Sci J 3: 382-398.

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