International Journal of Sustainable Energy and Environmental Research

Published by: PAK Publishing Group
Online ISSN: 2306-6253
Print ISSN: 2312-5764
Total Citation: 30

No. 1

The Effect of Co2 Emission and Economic Growth on Energy Consumption in Sub Sahara Africa

Pages: 27-35
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The Effect of Co2 Emission and Economic Growth on Energy Consumption in Sub Sahara Africa

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DOI: 10.18488/journal.13.2017.61.27.35

Salami Dada Kareem , Atoyebi Kehinde Olusegun , Olabode Oluwayinka Samuel

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  1. Altinary, G. and E. Karagol, 2005. Structural break, unit root, and the causality between energy consumption and GDP in Turkey. Energy Economics, 26(6): 985-994. View at Google Scholar | View at Publisher
  2. Ang, J.B., 2008. Economic development, pollutant emissions and energy consumption in Malaysia. Journal of Policy Modeling, 30(2): 271-278. View at Google Scholar | View at Publisher
  3. Apergis, N. and J.E. Payne, 2009. CO 2 emissions, energy usage, and output in Central American. Energy Policy, 37(8): 3282-3286. View at Google Scholar | View at Publisher
  4. Apergis, N. and J.E. Payne, 2010. The emissions, energy consumption and growth nexus: Evidence from the commonwealth of independent states. Energy Policy, 38(1): 650-655. View at Google Scholar | View at Publisher
  5. Aqeel, A. and M.S. Butt, 2001. The relationship between energy consumption and economic growth in Pakistan. Asia-Pacific Development Journal, 8(2): 101-110. View at Google Scholar 
  6. Arellano, M. and S.R. Bond, 1991. Some tests of specification for panel data; Monte Carol evidence and an application to employment equations. Review of Economic Studies, 58(2): 277-297. View at Google Scholar | View at Publisher
  7. Arouri, M.E., A. Youssef, H. M’henni and C. Rault, 2012. Energy consumption and economic growth and CO2 emissions in Middle East and North African countries. Energy Policy, 45: 342-349. View at Google Scholar | View at Publisher
  8. Barazini, A., S. Weber, M. Bareit and A.N. Mathys, 2013. The casual relationship between energy use and economic growth in Swilzerland. Energy Policy, 36: 464-470.View at Google Scholar 
  9. Bartleet, M. and R. Gounder, 2016. Energy consumption and economic growth in New Zealand: Results of trivariate and multivariate models. Energy Policy, 38(7): 3505-3517. View at Google Scholar | View at Publisher
  10. Belloumi, M., 2009. Energy consumption and GDP in Tunisia: Cointegration and causality analysis. Energy Policy, 37(7): 2745-2753.View at Google Scholar | View at Publisher
  11. Boedwn, N. and J.E. Payne, 2009. The causal relationship between US energy consumption and real output: A disaggregated analysis. Journal of Policy Modeling, 31(2): 180-188.View at Google Scholar | View at Publisher
  12. Chan and Lee, 2014. An investigation of co-integration and causality between energy use and economic growth. Journal of Energy and Development, 21: 73-84.
  13. Chang, 2009. The relationship between energy consumption and economic growth using threshold regression.
  14. Cheng, 2013. Threshold effect of the economic growth rate on the renewable energy development from a change energy price: Evidence from OECD countries. Energy Policy, 37(12): 5796-5802. View at Google Scholar | View at Publisher
  15. Dan, Y. and Z. Lijun, 2009. Financial development and energy consumption; an empirical research based on Guangdong Province. International Conference on Information Management, Innovation Management and Industrial Engineering.
  16. Ghali, K.H. and M.I. EL-Sakkka, 2004. Energy use and output growth in Canada; a multivariate cointegration analysis. Energy Economics, 26(2): 225-238. View at Google Scholar | View at Publisher
  17. Ghosh, S., 2002. Electricity consumption and economic growth in India. Energy Policy, 30(2): 125-129. View at Google Scholar | View at Publisher
  18. Karanfil, F., 2009. How many times again will be examine the energy-income nexus using a limited range of traditional econometric tools? Energy Policy, 37(4): 1191-1194. View at Google Scholar | View at Publisher
  19. Khan, A.M. and Qayyum, 2007. Dynamic modelling of energy and growth in South Asia. Pakistan Development Review, 46: 481-498.View at Google Scholar 
  20. Lean, H.H. and R. Smith, 2009. CO2 emissions, energy consumption and output in ASEAN, business and economics, Development Research Unit Discussion Paper DEVDP No. 09-13.
  21. Lee, C.C., C.P. Chang and P.F. Chen, 2008. Energy –income casualty in OECD countries revisited: The key role of capital stock. Energy Economics, 30(5): 2359-2373. View at Google Scholar | View at Publisher
  22. Li, F., S. Dong, X. Li, Q. Liang and W. Yang, 2011. Energy consumption-economic growth relationship and carbon dioxide emissions in China. Energy Policy, 39(2): 568-574. View at Google Scholar | View at Publisher
  23. Li, Z., 2003. An econometric study on chain’s economy. Energy and environment to the year (2030). Energy Policy, 31: 1137-1150.
  24. Lotfailpour, M., M. Falahi and M. Ashena, 2010. Economic growth, CO2 emissions, and fossil fuels consumptions in Iran. Energy, 35(12): 5115-5120. View at Google Scholar | View at Publisher
  25. Menyah, K. and Y. Rufael, 2010. Energy consumption. Pollutant emissions and economic growth in South Africa. Energy Economics, 32(6): 1374-1382.View at Google Scholar | View at Publisher
  26. Morimoto, R. and C. Hope, 2004. The impact of electricity supply on cin Sri Lanka. Energy Economics, 26: 77-85.
  27. Odhimbo, N.M., 2009. Energy consumption and economic growth nexus in Tanzania: An ARDL, bounds testing approach. Energy Policy, 37(2): 617-622. View at Google Scholar | View at Publisher
  28. Oh, W. and K. Lee, 2004. Causal relationship between energy consumption and GDP revisited: The case of Korea 1970–1999. Energy Economics, 26(1): 51-59. View at Google Scholar | View at Publisher
  29. Omri, A., 2013. CO2 emissions, energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models. Energy Economics, 40: 657-664. View at Google Scholar | View at Publisher
  30. Paul, S. and R.N. Bhattacharya, 2004. Causality between energy consumption and economic growth in India: A note on conflicting results. Energy Economics, 26(6): 977-983. View at Google Scholar | View at Publisher
  31. Sadorsky, P., 2010. Financial development and energy consumption in central and Eastern European frontier economies. Energy Policy, 39: 999-1006. View at Google Scholar | View at Publisher
  32. Sadorsky, P., 2010. The impact of financial development and energy consumption in emerging economies. Energy Policy, 38(5): 2528-2535. View at Google Scholar | View at Publisher
  33. Sahir, M.H. and A.H. Qureshi, 2007. Specific concerns of Pakistan in the context of energy security issues and geopolitics of the region. Energy Policy, 35(4): 2031-2037. View at Google Scholar | View at Publisher
  34. Shabbier, M.S., M. Shahbaz and M. Zeshan, 2014. Renewable and non-renewable energy consumption, real GDP and CO2 emissions nexus: A structural VAR approach in Pakistan. Bull Energy Economics, 2: 91-105. View at Google Scholar 
  35. Shahbaz, M. and H.H. Lean, 2012. Does financial development increase in energy consumption? The role of industrialization and urbanization in Tunisia. Energy Policy, 40: 473-479. View at Google Scholar | View at Publisher
  36. Shahbaz, M., S.M.A. Nasreen and T. Afza, 2014. Environmental consequences of economic growth and foreign direct investment: Evidence from panel data analysis. Bull Energy Economics, 2(2): 14-27. View at Google Scholar 
  37. Shyamal, P. and B.N. Rabindra, 2004. Causality between energy consumption and economic growth in India: A note on conflicting results. Energy Economics, 26(6): 977-983. View at Google Scholar | View at Publisher
  38. Siddiqui, R., 2004. Energy and economic growth. Pakistan Development Review, 43: 175-200.View at Google Scholar 
  39. Soytas, U., R. Sari and B.T. Ewing, 2015. Energy consumption, income, and carbon emissions in the United States. Ecological Economics, 62(3-4): 482-489. View at Google Scholar | View at Publisher
  40. Squalli, J., 2007. Energy consumption and economic growth: Bounds and causality analyses for OPEC members. Energy Economics, 29(6): 1192-1205. View at Google Scholar | View at Publisher
  41. Stern, D.I. and C.J. Cleveland, 2004. Energy and economic growth. Rensselaer Polytechnic Institute, Rensselaer Working Papers in Economics No. 0410.
  42. Tang, C.F. and B.W. Tan, 2012. The linkages among energy consumption, economic growth, relative price, foreign direct investment, and financial development in Malaysia. Quantitative Qualitative, 48(2): 781–797.View at Publisher
  43. WDI, 2013. World development indicators. World Bank. Retrieved from http://data.worldbank.org.
  44. Wei, W., 2002. Study on the determinants of energy demand in China. Journal of Systems Engineering and Electronics, 13(3): 17-23. View at Google Scholar 
  45. Zaleski, P., 2014. Energy and geopolitical issues. In: Rao, D.B., Harshyita, D. (Eds), Energy security. New Delhi: Discovery Publishing House.
(2017). The Effect of Co2 Emission and Economic Growth on Energy Consumption in Sub Sahara Africa. International Journal of Sustainable Energy and Environmental Research, 6(1): 27-35. DOI: 10.18488/journal.13.2017.61.27.35
The relationship among CO2 emission, Economic Growth and Energy Consumption were examine in this study. This study specifically examines the combine impact CO2 emission, and Economic Growth on Energy Consumption. The study uses a dynamic panel data of esteem the time series analysis on 1980. Our result shows that Economic Growth is positively related to Energy Consumption. But when CO2 emission is interacted with Economic Growth the combine impact is increasing in energy consumption. The study therefore recommend that appropriate policy should formulated by the government to drive up energy consumption.

Contribution/ Originality
The paper contributes the first logical analysis in the existing literature of the relationship between Co2 emission, economic growth and energy consumption. The study departs from other studies by examining the combined impact of Co2 emission and economic growth on energy consumption in Sub- Saharan African countries during the period of the study. There is also robust use of system GMM developed by Arellano and Bond (1991) which gave consistent and efficient estimates.

Simulation of Solar Photovoltaic, Biomass Gas Turbine and District Heating Hybrid System

Pages: 9-26
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Simulation of Solar Photovoltaic, Biomass Gas Turbine and District Heating Hybrid System

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DOI: 10.18488/journal.13/2017.6.1/13.1.9.26

S. Sami , E. Marin

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  1. Binayak, B., R.P. Shiva, L. Kyung-Tae and A. Sung-Hoon, 2014. Mathematical modeling of hybrid renewable energy system: A review on small hydro-solar-wind power generation. International Journal of Precision Engineering and Manufacturing-green Technology, 1(2): 157-173. View at Google Scholar | View at Publisher
  2. Camerettia, M.C., G. Langellaa, S. Sabinoa and R. Tuccilloa, 2015. Modeling of a hybrid solar micro gas-turbine power plant. Energy Procedia, 82: 833 – 840. View at Google Scholar | View at Publisher
  3. Chinda, P. and P. Brault, 2012. The hybrid solid oxide fuel cell (SOFC) and gas turbine (GT) systems steady state modeling. International Journal of Hydrogen Energy, 37(11): 9237-9248. View at Google Scholar | View at Publisher
  4. Department of Energy, 2007. Potential benefits of distributed generation and rate related issues that may impede their expansion, a study pursuant to section 1817 of the energy policy act of 2005.
  5. Fargali, H., F.H.M. Fahmy and M.A. Hassan, 2008. A simulation model for predicting the performance of PV/Wind- powered geothermal space heating system in Egypt. Online Journal on Electronics and Electrical Engineering, 2(4): 321-330. View at Google Scholar 
  6. Heller, P., M. Pfänder, T. Denk, F. Tellez, A. Valverde and J. Fernandez, 2006. Test and evaluation of a solar powered gas turbine system. Solar Energy, 80(10): 1225–1230. View at Google Scholar | View at Publisher
  7. Jaber, J.O., 2004. Photovoltaic and gas turbine system for peak-demand applications. International Journal of Engineering and Technology, 1(1): 28-38. View at Google Scholar 
  8. Kavitha, S. and S.Y. Kamdi, 2013. Solar hydro hybrid energy system simulation. International Journal of Soft Computing and Engineering, 2(6): 500-503. View at Google Scholar  
  9. Korzynietz, R., M. Quero and R. Uhlig, 2012. SOLUGAS - future solar hybrid technology. Tech. Rep., Solar Paces. Retrieved from http://cms.solarpaces2012.org/proceedings/paper/7ee7e32ece8f2f8e0984d5ebff9d77b.
  10. Mustafa, E., 2013. Sizing and simulation of PV-Wind hybrid power system. International Journal of Photoenergy, 2013: 1-10. View at Google Scholar | View at Publisher
  11. Rajapakse, A. and S. Chungpaibulpantana, 1994. Dynamic simulation of a photovoltaic refrigeration system. RERIC International Energy Journal, 16(2): 67-101. View at Google Scholar
  12. Ramon, A., A. Lopez, A. Maritz and G. Angarita, 2014. Parametros comparatives de celulas fotoelectricas para generaciob de energia: Implementacion de banco de pruebas usando DSP comparative parameters of solar cells for power generation: Test stand implementation using DSP. Ingeniería Energética, 35(3): 193- 201. View at Google Scholar 
  13. Sami, S. and D. Icaza, 2015. Modeling, simulation of hybrid solar photovoltaic, wind turbine and hydraulic power system. International Journal of Engineering Science and Technology, 7(9): 304-317. View at Google Scholar 
  14. Sami, S. and E. Marin, 2017. A numerical model for predicting performance of biomass and CHP hybrid system. IJESRT (In Press).
  15. Saravanautto, H., G. Rogers and H. Chen, 2001. Gas turbine theory. 5th Edn., New York: Prentice Hall.
  16. Sinai, J., C. Sugarmen and U. Fisher, 2005. Adaptation and modification of gas turbines for solar energy applications. In: Proceedings of GT2005 ASME Turbo Expo 2005.
  17. Solgate, 2005. Solar hybrid gas turbine electric power system. Tech. Rep. EUR 21615, European Commission.
  18. Yang, W., N. Hyung-sik and S. Choi, 2007. Improvement of operating conditions in waste incinerators using engineering tools. Waste Management, 27(5): 604-613. View at Google Scholar | View at Publisher
(2017). Simulation of Solar Photovoltaic, Biomass Gas Turbine and District Heating Hybrid System. International Journal of Sustainable Energy and Environmental Research, 6(1): 9-26. DOI: 10.18488/journal.13/2017.6.1/13.1.9.26
This paper presents a simulation model for Biomass-Photovoltaic Hybrid system. The energy conversion equations describing the total power generated by system have been presented. A numerical model based upon the aforementioned conservation equations was developed, coded and results were presented and analyzed. The model is intended to be used as an optimization, design and analysis tool for typical gas turbine Biomass-CHP hybrid systems. The results predicted by the proposed model compared fairly with data under various biomass loading conditions.

Contribution/ Originality
This study contributes to the existing literature of photovoltaic, biomass and district heating hybrid systems. This study uses a new approach in modeling the hybrid system by establishing the conservation and conversion equations, integrating, coding and solving them to obtain the dynamic behavior of the hybrid system.

Optimal Sizing of Hybrid Systems and Economical Comparison

Pages: 1-8
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Optimal Sizing of Hybrid Systems and Economical Comparison

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DOI: 10.18488/journal.13/2017.6.1/13.1.1.8

Arash Navaeefard , Omid Babaee , Hamid Radmanesh

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  1. V. V. S. N. Murthy and K. Ashwani, "Comparison of optimal DG allocation methods in radial distribution systems based on sensitivity approaches," International Journal of Electrical Power & Energy Systems, vol. 53, pp. 450-467, 2013. View at Google Scholar | View at Publisher
  2. A. Sh and K. Afshar, "Application of IPSO-Monte Carlo for optimal distributed generation allocation and sizing," International Journal of Electrical Power & Energy Systems, vol. 44, pp. 786-797, 2013.View at Google Scholar | View at Publisher
  3. D. B. Nelson, M. H. Nehrir, and C. Wang, "Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems," Renewable Energy, vol. 31, pp. 1641-1656, 2006.View at Google Scholar | View at Publisher
  4. J. Kabouris and G. C. Contaxis, "Autonomous system expansion planning considering renewable energy sources—A computer package," IEEE Transactions on Energy Conversion, vol. 7, pp. 374–381, 1992. View at Google Scholar | View at Publisher
  5. J. Kabouris and G. C. Contaxis, "Optimum expansion planning of an unconventional generation system operating in parallel with a large scale network," IEEE Transactions on Energy Conversion, vol. 6, pp. 394–400, 1991. View at Google Scholar | View at Publisher
  6. H. Lund, "Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply," Renewable Energy, vol. 31, pp. 503–515, 2006.View at Google Scholar | View at Publisher
  7. S. Diaf, D. Diaf, M. Belhamel, M. Haddadi, and A. Louche, "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, vol. 35, pp. 5708–5718, 2007. View at Google Scholar | View at Publisher
  8. J. K. Kaldellis, "Optimum autonomous wind-power system sizing for remote consumers using long-term wind speed data," Applied Energy, vol. 71, pp. 215–233, 2002. View at Google Scholar | View at Publisher
  9. R. Billinton and R. Karki, "Capacity expansion of small isolated power systems using PV and wind energy," IEEE Transactions on Power System, vol. 16, pp. 892–897, 2001. View at Google Scholar | View at Publisher
  10. R. Karki and R. Billinton, "Considering renewable energy in small isolated power system expansion," in Proc. Canadian Conference on Electrical and Computer Engineering May 4–7, 2004, pp. 367–370.
  11. B. Ai, H. Yang, H. Shen, and X. Liao, "Computer-aided design of PV/wind hybrid system," Renewable Energy, vol. 28, pp. 1491–1512, 2003. View at Google Scholar | View at Publisher
  12. D. B. Nelson, M. H. Nehrir, and C. Wang, "Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems," Renewable Energy, vol. 31, pp. 1641–1656, 2006. View at Google Scholar | View at Publisher
  13. H. Ying-Yi and L. Ruo-Chen, "Optimal sizing of hybrid wind/PV/diesel generation in a stand-alone power system using Markov-based genetic algorithm," IEEE Transactions on Power Delivery, vol. 27, pp. 640-647, 2012. View at Google Scholar | View at Publisher
  14. A. C. Luna, N. L. Diaz, M. Savaghebi, J. C. Vasquez and J. M. Guerrero, "Optimal power scheduling for an islanded hybrid microgrid," 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), Hefei, 2016, pp. 1787-1792.
  15. M. Tao, Y. Hongxing, and L. Lin, "A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote Island," Applied Energy, vol. 121, pp. 149-158, 2014. View at Google Scholar | View at Publisher
  16. K. Kanzumba and J. V. Herman, "Hybrid diesel generator/renewable energy system performance modeling," Renewable Energy, vol. 67, pp. 97-102, 2014. View at Google Scholar | View at Publisher
  17. H. R. Baghaee, G. B. Gharehpetian and A. K. Kaviani, "Three dimensional Pareto Optimal solution to design a hybrid stand-alone wind/PV generation system with hydrogen energy storage using multi-objective Particle Swarm Optimization," 2012 Second Iranian Conference on Renewable Energy and Distributed Generation, Tehran, 2012, pp. 80-85.
  18. D.-L. Rodolfo and B.-A. L. José, "Multi-objective design of PV–wind–diesel–hydrogen–battery systems," Renewable Energy, vol. 33, pp. 2559-2572, 2008. View at Google Scholar | View at Publisher
  19. U. Boonbumroong, N. Pratinthong, S. Thepa, C. Jivacate, and W. Pridasawas, "Particle swarm optimization for AC-coupling stand-alone hybrid power systems," Solar Energy, vol. 85, pp. 560-569, 2011. View at Google Scholar | View at Publisher
(2017). Optimal Sizing of Hybrid Systems and Economical Comparison. International Journal of Sustainable Energy and Environmental Research, 6(1): 1-8. DOI: 10.18488/journal.13/2017.6.1/13.1.1.8
Aim of study finding the best configuration among a set of system components. Power fluctuations and load disturbances in hybrid systems cause power inequality and system stability problems. Using hybrid energy storage systems is an effective solution in order to overcome unbalancing between power generating and load demands. In this paper, a methodology to perform the optimal sizing for Distributed Energy Resources (DERs) in three hybrid systems is developed, and reliability index is considered as a constraint.  The optimum system configuration can meet the customer’s required Equivalent Loss Factor (ELF=0) with the minimum cost, and comparison cost between them.  In these configurations, power generators are photovoltaic (PV)/wind turbine and three combination of battery bank and hydrogen tank is used as an energy storage system. Particle Swarm Optimization (PSO) algorithm has been used to optimize the cost function, and has been simulated in MATLAB for justification purpose.

Contribution/ Originality