Abstract
Tunisia is among the Mediterranean countries most exposed to climate change. It would face increased temperature, reduced rainfall, rising sea levels, and increased extreme climatic phenomena (floods and droughts). Aware of these threats, Tunisia has adopted a proactive policy to combat climate change. This chapter deals with a Tunisia case study that proposes to reduce its greenhouse gas emissions in all sectors (energy, industrial processes, agriculture, etc.) and lowering by 45% by 2030. The reduction effort seems to result, particularly in the energy sector. The challenge is to reduce energy consumption and transition to renewable energies, such as wind, hydraulic, etc., especially solar photovoltaic (PV). This chapter summarizes the results of a study carried out to establish the inventory of currently connected solar photovoltaic projects and evaluate the potential for PV self-production and forecasts of evolution by 2030. A decision support framework for PV energy prediction is proposed to assist decision-makers in their decisions.
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References
Lionello, P., & Scarascia, L. (2018). The relation between climate change in the Mediterranean region and global warming. Regional Environmental Change, 18(5), 1481–1493.
Masson-Delmotte, V., Zhai, P., Pörtner, H. O., Roberts, D., Skea, J., Shukla, P. R., & Waterfield, T. (2018). Global warming of 1.5 C. An IPCC Special Report on the impacts of global warming of 1.5 °C, 1(5).
Burke, M., Hsiang, S. M., & Miguel, E. (2015). Global non-linear effect of temperature on economic production. Nature, 527(7577), 235–239.
IRENA. (2019). Global energy transformation: A roadmap to 2050 (2019 edition). https://www.irena.org/publications/2019/Apr/Global-energy-transformation-A-roadmap-to-2050-2019Edition
Conference of the Parties (COP). (2022). https://unfccc.int/process/bodies/supreme-bodies/conference-of-the-parties-cop
Lechtenböhmer, S., Durand, A., Fischedick, M., Nebel, A., Soukup, O., Wane, S., & Zarrouk, T. (2012). Etude stratégique du mix energétique pour la production d'electricité en Tunisie: rapport final.
La Contribution Determinee au niveau National (CDN) de la Tunisie. https://www4.unfccc.int/sites/ndcstaging/PublishedDocuments/Tunisia%20First/Tunisia%20Update%20NDC-french.pdf
The United Nations Development Program (UNDP). (2022). https://www.undp.org/about-us
Ministère de l’Energie, des Mines et de la Transition Energétique. (2022). Aperçu sur le secteur de l'énergie. https://www.energiemines.gov.tn/fr/themes/energie/#:~:text=Au%20cours%20de%20la%20p%C3%A9riode,'%C3%A9quivalent%20p%C3%A9trole%20(tep)%20.
United Nations. (2022). Digitization update—Conv on climate change. https://www.un.org/en/library/digitization-update-conv-climate-change
United Nations. (2022). The Paris agreement. https://www.un.org/en/climatechange/paris-agreement
ANME. (2022). Politiques d’atténuation dans le secteur de l’énergie. http://www.anme.tn/?q=fr/content/politiques-dattenuation-dans-le-secteur-de-lenergie
Agence Nationale pour la Maitrise de l'Energie (ANME). http://www.anme.tn/
ANME. (2022). Atlas Eolien. http://www.anme.tn/?q=fr/projets/eolien/atlas-eolien
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). https://www.giz.de/
GIZ. (2022). Renforcement du marché solaire en Tunisie. https://www.giz.de/en/worldwide/27358.html].
Plan solaire Tunisien (PST). (2015). https://www.energiemines.gov.tn/fileadmin/user_upload/energies_renouvelables/PST_2015.pdf
Ministère de l’Energie, des Mines et de la Transition Energétique. (2022). https://www.energiemines.gov.tn/fr/tc/actualites/
ANME. (2022). Raccordé en Mt-HT. http://www.anme.tn/?q=fr/projets/solaire-photovoltaique/raccorde-en-mt-ht
Société Tunisienne de l'Electricité et du Gaz (STEG). (2022). https://www.steg.com.tn/
IRENA–International Renewable Energy Agency. (2019). Future of solar photovoltaic: Deployment, investment, technology, grid integration, and socio-economic aspects.
International Energy Agency (IEA). (2022). https://www.iea.org/
IEA. (2014). Technology roadmap, solar photovoltaic. In Energy (2014 edition). https://iea.blob.core.windows.net/assets/e78cd964-9859-48c8-89b5-81fb4a1423b3/TechnologyRoadmapSolarPhotovoltaicEnergy_2014edition.pdf
Rauf, A., Al-Awami, A. T., Kassas, M., & Khalid, M. (2021). Optimal sizing and cost minimization of solar photovoltaic power system considering economical perspectives and net metering schemes. Electronics, 10(21), 2713.
GIZ. (2011). Etude du développement des systèmes solaires thermiques collectifs dans le résidentiel. https://energypedia.info/images/3/3e/FR_CES_Residence_Collectif_CAMI_2011_GIZ.pdf
National Institute of Statistics. (2021). Characteristics of housing. http://www.ins.tn/statistiques/103
STEG. (2019). Annual report 2019. https://www.steg.com.tn/fr/institutionnel/publication/rapport_act2019/Rapport_Annuel_steg_2019_fr.pdf
NAMA Facility. (2022). https://www.nama-facility.org/.
Kimball, R., & Ross, M. (2011). The data warehouse toolkit: The complete guide to dimensional modeling. Wiley.
Inmon, W. H. (2005). Building the data warehouse. Wiley.
Kimball, R. (1996). The data warehouse toolkit: Practical techniques for building dimensional data warehouses. Wiley.
Wang, J., Yang, Y., Wang, T., Sherratt, R. S., & Zhang, J. (2020). Big data service architecture: A survey. Journal of Internet Technology, 21(2), 393–405.
Patel, M., & Patel, D. B. (2021). Progressive growth of ETL tools: A literature review of past to equip future. Rising Threats in Expert Applications and Solutions, 389–398.
Nayak, L. S., Das, K., Hota, S., & Sahu, B. J. R. (2022). Implementation of data warehouse: An improved data-driven decision-making approach. In Intelligent and cloud computing (pp. 419–427). Singapore.
Badgujar, A. D., Kadam, S. S., Zambare, M. M., & Kulkarni, S. R. (2022). A comparative study: Business intelligence tools. International Journal of Research in Engineering, Science and Management, 5(1), 116–118.
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Ben Abdessalem, W., Jayari, I., Karaa, S. (2023). Climate Change: The Challenge of Tunisia and Previsions for Renewable Energy Production. In: Hassanien, A.E., Darwish, A. (eds) The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations. Studies in Big Data, vol 118. Springer, Cham. https://doi.org/10.1007/978-3-031-22456-0_6
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