This paper proposes an energy management model using system dynamics (SD) modeling approach. The time span of the model extends from 2003 to 2030. The Model was calibrated and used for the evaluation of six policy scenarios. Population, per capita electricity consumption, and the industrial sectors were identified as key components and used as inputs to predict future electricity supply and demand needs. Particular attention was paid, in the proposed model, to the individual and total amounts of carbon released into the atmosphere. Finally, to demonstrate the usefulness of the model, it was applied to Niger’s electricity sector. The raw data from the past ten years was used as a benchmark for the study. A key factor in this study was Niger’s fast growing population. The quick increase in population will add uncertainties to both the projections and the accuracy of the results. Model results show that by putting a particular emphasis on the national supply, Niger may be energy self-sufficient from 2018 through 2030. The model also indicates that the bond between Nigeria and Niger must be firmly re-strengthened for the latter to be able to meet its future electricity challenges. The proposed model can be used in guiding public policy in developing regions.
Published in | International Journal of Energy and Power Engineering (Volume 3, Issue 6) |
DOI | 10.11648/j.ijepe.20140306.14 |
Page(s) | 308-322 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Energy Supply, Per Capita Electricity, Carbon Footprint, Niger, Population
[1] | W. Li, Z. Zhang, and M. Wei, “Forecast on Hebei energy consumption based on system dynamics,” Cross Strait Quad-Regional Radio …, pp. 1541–1543, 2011. |
[2] | S. L. Koh and Y. S. Lim, “Meeting energy demand in a developing economy without damaging the environment—A case study in Sabah, Malaysia, from technical, environmental and economic perspectives,” Energy Policy, vol. 38, no. 8, pp. 4719–4728, Aug. 2010. |
[3] | C. D. C. Cdc, “Bilan énergétique et perspectives pour une politique énergétique ambitieuse au Niger,” no. Cdc, 2009. |
[4] | Institut National de la Statistique (INS) du Niger-http://www.stat-niger.org/statistique/[Accessed December 5, 2013]. |
[5] | Finance, H. & Africa, I.N., 2011. YEARBOOK. Centre for Affordable Housing Finance in Africa a division of the FinMark Trust, (September). |
[6] | Collectif de défense du droit à l'énergie (Coddae), http://www.energiesosfutur.org/wp- content/uploads/2010/09/Lettre_situation_%C3%A9lectrique_Niger_coddae_dae.pdf [Accessed December 4, 2013]. |
[7] | National utility company, Niger (NIGELEC, Niger): http://www.nigelec.ne[Accessed November 10, 2013]. |
[8] | http://www.ne.undp.org/[Accessed November 10, 2013]. |
[9] | H. Amusa, K. Amusa, and R. Mabugu, “Aggregate demand for electricity in South Africa : An analysis using the bounds testing approach to cointegration $,” Energy Policy, vol. 37, no. 10, pp. 4167–4175, 2013. |
[10] | A. Boogert and D. Dupont, “When supply meets demand: the case of hourly spot electricity prices,” Power Syst. IEEE Trans., vol. 23, no. 2, pp. 389–398, 2008. |
[11] | M. L. Baughman and P. L. Joskow, “The Future Outlook for the U.S. Electricity Supply and Demand,” Proc. IEEE, vol. 65, no. 4, 1977. |
[12] | T. Tusar, E. Dovgan, and B. Filipic, “Evolutionary scheduling of flexible offers for balancing electricity supply and demand,” Evol. Comput. (CEC), …, pp. 10–15, 2012. |
[13] | Q. Zhang, K. N. Ishihara, B. C. Mclellan, and T. Tezuka, “Scenario analysis on future electricity supply and demand in Japan,” Energy, vol. 38, no. 1, pp. 376–385, 2012. |
[14] | O. Alnatheer, “The Potential contribution of renewable energy to electricity supply in Saudi Arabia,” Energy Policy, vol. 33, pp. 2298–2312, 2005. |
[15] | G. Heinrich, M. Howells, L. Basson, and J. Petrie, “Electricity supply industry modelling for multiple objectives under demand growth uncertainty,” Energy, vol. 32, pp. 2210–2229, 2007. |
[16] | S. Y. Al-agtash, “Supply curve bidding of electricity in constrained power networks q,” Energy, vol. 35, no. 7, pp. 2886–2892, 2010. |
[17] | P. K. Toan, N. Minh, and N. H. Dieu, “Energy supply , demand , and policy in Viet Nam , with future projections,” Energy Policy, vol. 39, no. 11, pp. 6814–6826, 2011. |
[18] | De Vita, G., Endresen, K., Hunt, L.C., 2006, An empirical analysis of energy demand in Namibia, Energy Policy 34, 3447–3463. |
[19] | Ziramba, E. 2008, "The demand for residential electricity in South Africa", Energy Policy, vol. 36, no. 9, pp. 3460-3466. |
[20] | P. Kofi, W. Bekoe, S. Kutri, and K. Akoena, “Modelling aggregate domestic electricity demand in Ghana : An autoregressive distributed lag bounds cointegration approach,” Energy Policy, vol. 42, pp. 530–537, 2012. |
[21] | Naill, R. F. (1973). The Discovery Life Cycle of a Finite Resource: a Case Study of U.S. Natural Gas. in: D.L. Meadows (Ed.), Toward Global Equilibrium: Collected Papers, MIT Press, Cambridge, MA. |
[22] | J. D. Sterman, “John D. Sterman, The Energy Transition and Economy; A System Dynamics Approach, 1981.” Unpublished work, 1981. |
[23] | E. Suryani, S.-Y. Chou, R. Hartono, and C.-H. Chen, “Demand scenario analysis and planned capacity expansion: A system dynamics framework,” Simul. Model. Pract. Theory, vol. 18, no. 6, pp. 732–751, Jun. 2010. |
[24] | S. C. Bhattacharyya and G. R. Timilsina, “Modelling energy demand of developing countries : Are the specific features adequately captured ?,” Energy Policy, vol. 38, no. 4, pp. 1979–1990, 2010. |
[25] | Rahn J. 1981. A system dynamics model for long range electric utility planning: implementation experience. Dynamica 7:32-35 . |
[26] | A. Ford, J. Wright, and F. Prize, “System Dynamics and the Electric Power Industry,” vol. 13, no. 1, pp. 57–85, 1997. |
[27] | H. Qudrat-Ullah, “Understanding the dynamics of electricity generation capacity in Canada: A system dynamics approach,” Energy, pp. 285–294, 2013. |
[28] | H. Qudrat-Ullah and P. I. Davidsen, “Understanding the dynamics of electricity supply, resources and pollution: Pakistan’s case,” Energy, vol. 26, no. 6, pp. 595–606, Jun. 2001. |
[29] | Y. Prambudia and M. Nakano, “Scenario Analysis of Indonesia ’ s Energy Security by using a System-Dynamics Approach,” pp. 899–904, 2010. |
[30] | S. A. Akhwanzada and M. Tahar, “Long-term Electricity Forecasting : A System Dynamics Approach,” vol. 33, pp. 116–119, 2012. |
[31] | S. A. Akhwanzada and R. M. Tahar, “Strategic Forecasting of Electricity Demand Using System Dynamics Approach,” vol. 3, no. 4, pp. 328–333, 2012. |
[32] | UNDP, “Rapport sur le développement humain 2013,” Annu. Rep., 2013; [Accessed November 10, 2013]. |
[33] | Ahmad S, Simonovic SP (2000). “System dynamics modeling of reservoir operations for flood management.” J Comput Civ Eng 14(3):190-198. |
[34] | Dawadi S and Ahmad S (2013). “Evaluating the Impact of Demand-Side Management on Water Resources under Changing Climatic Conditions and Increasing Population.” Journal of Environmental Management, 114, 261-275. |
[35] | Qaiser K, Ahmad S, Johnson W, Batista J (2013). “Evaluating Water Conservation and Reuse Policies using a Dynamic Water Balance Model.” Environmental Management, 51(2): 449-458. |
[36] | Ahmad S, Simonovic SP (2004). “Spatial system dynamics: new approach for simulation of water resources systems.” J Comput Civ Eng 18(4):331–340. |
[37] | Ahmad S, Simonovic SP (2006). “An intelligent decision support system for management of floods.” Water Resour Manag, 20(3): 391-410. |
[38] | Sterman, J.D., 2000. Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill, NY. |
[39] | Mirchi A, Madani K, Watkins D, Ahmad S. 2012. Synthesis of system dynamics tools for holistic conceptualization of water resources problems. Water Resources Management 26 (9), 2421-2442. |
[40] | R. Rehan, M. Knight, C. Haas, and A. Unger, “Application of system dynamics for developing financially self-sustaining management policies for water and wastewater systems,” Water Res., pp. 1–14, 2011. |
[41] | Dawadi S and Ahmad S (2012). “Changing Climatic Conditions in the Colorado River Basin: Implications for Water Resources Management.” Journal of Hydrology, 430–431: 127–141. |
[42] | Qaiser K, Ahmad S, Johnson W, Batista J (2011). “Evaluating the impact of water conservation on fate of outdoor water use: A study in an arid region.” J Environ Manage 92(8): 2061-2068. |
[43] | Shrestha E, Ahmad S, Johnson W, Shreshta P, Batista JR (2011). “Carbon Footprint of Water Conveyance versus Desalination as Alternatives to Expand Water Supply.” Desalination 280 (1-3):33-43. |
[44] | Venkatesan AK, Ahmad S, Johnson W, Batista JR (2011a) “Salinity Reduction and Energy Conservation in Direct and Indirect Potable Water Reuse”. Desalination 272(1-3):120-127. |
[45] | Shrestha, E., Ahmad, S., Johnson, W., and Batista, J. (2012). "The carbon footprint of water management policy options." Energy Policy, 42, 201-212. |
[46] | Venkatesan AK, Ahmad S, Johnson W, Batista JR (2011b). “System Dynamics Model to Forecast Salinity Load to the Colorado River Due to Urbanization within the Las Vegas Valley”. Sci Total Environ 409(13): 2616-2625. |
[47] | Ahmad S and Prashar D (2010), Evaluating Municipal Water Conservation Policies Using a Dynamic Simulation Model, Water Resources Management 24(13): 3371-3395. |
[48] | Wu G, Li L, Ahmad S, Chen X, Pan X. 2013. A Dynamic Model for Vulnerability Assessment of Regional Water Resources in Arid Areas: A Case Study of Bayingolin, China, Water Resources Management, 27(8): 3085-3101. |
[49] | Fhttp://www.iseesystems.com/ [Accessed November 2013]. |
[50] | Energy report, Niger: https://estore.enerdata.net/fr/rapport-energie/niger-rapport-energie-et-donnee.html [Accessed November 16, 2013]. |
[51] | Conférence de haut niveau sur : L’eau pour l’agriculture et l’énergie en Afrique: les défis du changement climatique Syrte, Jamahiriya Arabe Libyenne, 15-17 décembre 2008 ; Rapport National d’Investissement, Niger (RNI, 2008) [Accessed November 13, 2013]. |
[52] | Conseil National de l’Environnement pour un Développement Durable Secrétariat Exécutif, Seconde Communication Nationale du Niger sur les Changements Climatiques, 2009 (CNEDD) [Accessed November 18, 2013]. |
[53] | http://www.snvworld.org/en/countries/niger, [Accessed November 18, 2013]. |
[54] | Ali Kerem Saysel et al., “Exploring the options for carbon dioxide mitigation in Turkish electric power industry: System dynamics approach,” Energy Policy, 2013. |
[55] | H. Dong, Y. Geng, F. Xi, and T. Fujita, “Carbon footprint evaluation at industrial park level: A hybrid life cycle assessment approach,” Energy Policy, vol. 57, pp. 298–307, Jun. 2013. |
[56] | Y. Kajikawa, J. Yoshikawa, Y. Takeda, and K. Matsushima, “Tracking emerging technologies in energy research: Toward a roadmap for sustainable energy,” Technol. Forecast. Soc. Change, vol. 75, no. 6, pp. 771–782, Jul. 2008. |
[57] | World Nuclear Association (WNA) Report, July 2011. http://www.world-nuclear.org/uploadedFiles/org/WNA/Publications/Working_Group_Reports/comparison_of_lifecycle.pdf [Accessed November 2013]. |
[58] | Issaka Maga H., Guengant Jean-Pierre, Population et Société au Niger, Bulletin d’analyse des questions de population pour le développement, N°01 du février 2012 [Accessed December 5, 2013]. |
APA Style
Yacouba Moumouni, Sajjad Ahmad, R. Jacob Baker. (2015). A System Dynamics Model for Energy Planning in Niger. International Journal of Energy and Power Engineering, 3(6), 308-322. https://doi.org/10.11648/j.ijepe.20140306.14
ACS Style
Yacouba Moumouni; Sajjad Ahmad; R. Jacob Baker. A System Dynamics Model for Energy Planning in Niger. Int. J. Energy Power Eng. 2015, 3(6), 308-322. doi: 10.11648/j.ijepe.20140306.14
AMA Style
Yacouba Moumouni, Sajjad Ahmad, R. Jacob Baker. A System Dynamics Model for Energy Planning in Niger. Int J Energy Power Eng. 2015;3(6):308-322. doi: 10.11648/j.ijepe.20140306.14
@article{10.11648/j.ijepe.20140306.14, author = {Yacouba Moumouni and Sajjad Ahmad and R. Jacob Baker}, title = {A System Dynamics Model for Energy Planning in Niger}, journal = {International Journal of Energy and Power Engineering}, volume = {3}, number = {6}, pages = {308-322}, doi = {10.11648/j.ijepe.20140306.14}, url = {https://doi.org/10.11648/j.ijepe.20140306.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20140306.14}, abstract = {This paper proposes an energy management model using system dynamics (SD) modeling approach. The time span of the model extends from 2003 to 2030. The Model was calibrated and used for the evaluation of six policy scenarios. Population, per capita electricity consumption, and the industrial sectors were identified as key components and used as inputs to predict future electricity supply and demand needs. Particular attention was paid, in the proposed model, to the individual and total amounts of carbon released into the atmosphere. Finally, to demonstrate the usefulness of the model, it was applied to Niger’s electricity sector. The raw data from the past ten years was used as a benchmark for the study. A key factor in this study was Niger’s fast growing population. The quick increase in population will add uncertainties to both the projections and the accuracy of the results. Model results show that by putting a particular emphasis on the national supply, Niger may be energy self-sufficient from 2018 through 2030. The model also indicates that the bond between Nigeria and Niger must be firmly re-strengthened for the latter to be able to meet its future electricity challenges. The proposed model can be used in guiding public policy in developing regions.}, year = {2015} }
TY - JOUR T1 - A System Dynamics Model for Energy Planning in Niger AU - Yacouba Moumouni AU - Sajjad Ahmad AU - R. Jacob Baker Y1 - 2015/01/19 PY - 2015 N1 - https://doi.org/10.11648/j.ijepe.20140306.14 DO - 10.11648/j.ijepe.20140306.14 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 308 EP - 322 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.20140306.14 AB - This paper proposes an energy management model using system dynamics (SD) modeling approach. The time span of the model extends from 2003 to 2030. The Model was calibrated and used for the evaluation of six policy scenarios. Population, per capita electricity consumption, and the industrial sectors were identified as key components and used as inputs to predict future electricity supply and demand needs. Particular attention was paid, in the proposed model, to the individual and total amounts of carbon released into the atmosphere. Finally, to demonstrate the usefulness of the model, it was applied to Niger’s electricity sector. The raw data from the past ten years was used as a benchmark for the study. A key factor in this study was Niger’s fast growing population. The quick increase in population will add uncertainties to both the projections and the accuracy of the results. Model results show that by putting a particular emphasis on the national supply, Niger may be energy self-sufficient from 2018 through 2030. The model also indicates that the bond between Nigeria and Niger must be firmly re-strengthened for the latter to be able to meet its future electricity challenges. The proposed model can be used in guiding public policy in developing regions. VL - 3 IS - 6 ER -