ENERGY MANAGEMENT SOFTWARE FOR STUDENTS IN ENGINEERING EDUCATION

Year 2020, Volume: 10 Issue: 2, 354 - 365, 30.12.2020

Selçuk Atiş

https://doi.org/10.36222/ejt.843027

Abstract

Energy demand of a country should be particularly supplied by indigenous energy sources; otherwise, the country would become an energy importing country and dependent on energy-rich countries. In order to benefit from the current renewable energy resources efficiently, many engineers who are specialized on energy management (economic, planning, organization and optimization) are strongly required to be educated with the support of today’s advance technology. In this context, various engineering disciplines associated with the concept of energy have been established in many universities around the world as well as in Turkey. In this study, Hybrid Optimization of Multiple Energy Resources (HOMER) software which is very useful for modeling renewable and conventional technologies in various energy management applications and also easy to use, is introduced in detail and presented to today’s and future’s energy engineers. In order to better understand how the HOMER is efficiently applied, a real-time application for Marmara University Technical Education Faculty which was discussed and is presented in detail.

Keywords

Engineering Education, Renewable energy course, Energy management, Energy system modeling, HOMER

References

• [1] International Energy Agency, https://www.iea.org, 01.12.2020.
• [2] Tetc Electricity Generation - Transmission Statistics of Turkey, https://www.teias.gov.tr, December 2020.
• [3] Akar, O., Terzi, Ü.K., Tunçalp, B.K., and Sönmezocak, T. (2019). Determination of the Optimum Hybrid Renewable Power System: A Case Study of Istanbul Gedik University Gedik Vocational School. Balkan Journal of Electrical and Computer Engineering, 7(4), pp. 456-463.
• [4] Dawood, K. (2016). Hybrid Wind-Solar Reliable Solution for Turkey to Meet Electric Demand. Balkan Journal of Electrical and Computer Engineering, 4(2), pp. 62-66.
• [5] Erken, F. (2020). The Impact of the Government’s Incentives on Increasing Investment in Turkey's Solar Photovoltaic Power Plants. Balkan Journal of Electrical and Computer Engineering, 8(1), pp. 40-49.
• [6] Kentli, F., & Yilmaz, M. (2017). Improving Tracking Efficiency of Two-Axis Sun Tracking Systems. In Energy Harvesting and Energy Efficiency (pp. 179-203). Springer, Cham.
• [7] Vedat, E., Neşe, S.V., Saglam, Ş., and Oral, B. (2016). The Training of Renewable Energy Systems Undergraduate Studies. Balkan Journal of Electrical and Computer Engineering, 5(1), pp. 26-29.
• [8] Yüksel, O., Şahin, M., and Güven, Y. (2015). Importance of Solar Lighting Systems in Terms of Environmental Pollution. Balkan Journal of Electrical and Computer Engineering, 3(4), pp. 208-212.
• [9] Başoğlu, M.E. and Çakir, B. (2015). Wind Energy Status in Turkey. International Journal of Environmental, Ecological, Geological and Geophysical Engineering, 9(1), pp. 19-24.
• [10] Yilmaz, M. (2018). Real measure of a transmission line data with load fore-cast model for the future. Balkan Journal of Electrical and Computer Engineering, 6(2), 141-145.
• [11] Çiçek, O., Millad, M.A.M., and Erken, F. (2019). Energy Prediction Based on Modelling and Simulation Analysis of an Actual Grid-Connected Photovoltaic Power Plant in Turkey. European Journal of Technique, 9(2), pp. 159-174.
• [12] Koçyiğit, F. (2019). The Evaluating of Wind Energy Potential of Diyarbakır Using Weibul and Rayleigh Distribution. European Journal of Technique, 9(1), pp. 99-113.
• [13] Ekren, N., Onat, N., and Saglam, S. (2008). Household Type Load’s Effects on Photovoltaic Systems. WSEAS Transactions on Circuits and Systems, 7(12), pp. 1020-1028.
• [14] Ekren, N. and Gorgulu, S. (2012). An Investigation into the Usability of Straight Light-Pipes in Istanbul. Energy Educ. Sci. Technol. Part A, 30(1), pp. 637-644.
• [15] Ersoz, S., Akinci, T.C., Nogay, H.S., and Dogan, G. (2013). Determination of Wind Energy Potential in Kirklareli-Turkey. International Journal of Green Energy, 10(1), pp. 103-116.
• [16] Akinci, T.C., Seker, S., Akgun, O., Dikun, J., and Erdemir, G. (2017). Bispectrum and Energy Analysis of Wind Speed Data. International Journal of Electrical Energy, 5(1), pp. 87-91.
• [17] Yılmaz, M. and Kentli, F. (2015). Increasing of Electrical Energy with Solar Tracking System at the Region Which Has Turkey’s Most Solar Energy Potential. Journal of Clean Energy Technologies, 3(4), pp. 287-290.
• [18] Akkılıç, K., Ocak, Y. S., & Yılmaz, M. (2015). Analysing enhancement of electricity generating capacity with solar tracking system of the most sunning region of Turkey. Journal of Clean Energy Technologies, 3(4), 291-295.
• [19] National Renewable Energy Action Plan for Turkey, Republic of Turkey Ministry of Energy and Natural Resources, December 2014.
• [20] Celiktas, M.S. and Kocar, G. (2009). A Quadratic Helix Approach to Evaluate the Turkish Renewable Energies. Energy Policy, 37(11), pp. 4959-4965.
• [21] Cormio, C., Dicorato, M., Minoia, A., and Trovato, M. (2003). A Regional Energy Planning Methodology Including Renewable Energy Sources and Environmental Constraints. Renewable and Sustainable Energy Reviews, 7(2), pp. 99-130.
• [22] Birol, F., World Energy Outlook 2013, International Energy Agency Paris, 2013.
• [23] Zonooz, M.R.F., Nopiah, Z.M., Yusof, A.M., and Sopian, K. (2009). A Review of Markal Energy Modeling. European Journal of Scientific Research, 26(3), pp. 352-361.
• [24] Ball, M., Wietschel, M., and Rentz, O. (2007). Integration of a Hydrogen Economy into the German Energy System: An Optimising Modelling Approach. International Journal of Hydrogen Energy, 32(10-11), pp. 1355-1368.
• [25] Tsioliaridou, E., Bakos, G.C., and Stadler, M. (2006). A New Energy Planning Methodology for the Penetration of Renewable Energy Technologies in Electricity Sector—Application for the Island of Crete. Energy Policy, 34(18), pp. 3757-3764.
• [26] Cai, Y.P., Huang, G.H., Lin, Q.G., Nie, X.H., and Tan, Q. (2009). An Optimization-Model-Based Interactive Decision Support System for Regional Energy Management Systems Planning under Uncertainty. Expert Systems with Applications, 36(2), pp. 3470-3482.
• [27] Lund, H., Duić, N., Krajac, G., and da Graca Carvalho, M. (2007). Two Energy System Analysis Models: A Comparison of Methodologies and Results. Energy, 32(6), pp. 948-954.
• [28] Morris, S.C., Goldstein, G.A., and Fthenakis, V.M. (2002). Nems and Markal-Macro Models for Energy-Environmental-Economic Analysis: A Comparison of the Electricity and Carbon Reduction Projections. Environmental Modeling & Assessment, 7(3), pp. 207-216.
• [29] Segurado, R., Pereira, S., Pipio, A., and Alves, L. (2009). Comparison between Eminent and Other Energy Technology Assessment Tools. Journal of Cleaner Production, 17(10), pp. 907-910.
• [30] Urban, F., Benders, R.M.J., and Moll, H.C. (2007). Modelling Energy Systems for Developing Countries. Energy Policy, 35(6), pp. 3473-3482.
• [31] Jebaraj, S. and Iniyan, S. (2006). A Review of Energy Models. Renewable and Sustainable Energy Reviews, 10(4), pp. 281-311.
• [32] Connolly, D., Lund, H., Mathiesen, B.V., and Leahy, M. (2010). A Review of Computer Tools for Analysing the Integration of Renewable Energy into Various Energy Systems. Applied energy, 87(4), pp. 1059-1082.
• [33] Lambert, T., Gilman, P., and Lilienthal, P. (2006). Micropower System Modeling with Homer. Integration of alternative sources of energy, 1(1), pp. 379-385.
• [34] Aykut, E. and Terzi, Ü.K. (2020). Techno-Economic and Environmental Analysis of Grid Connected Hybrid Wind/Photovoltaic/Biomass System for Marmara University Goztepe Campus. International Journal of Green Energy, 17(15), pp. 1036-1043.
• [35] Karabulut, A., Gedik, E., Keçebaş, A., and Alkan, M.A. (2011). An Investigation on Renewable Energy Education at the University Level in Turkey. Renewable Energy, 36(4), pp. 1293-1297.
• [36] Bojic, M. (2004). Education and Training in Renewable Energy Sources in Serbia and Montenegro. Renewable Energy, 29(10), pp. 1631-1642.
• [37] Homer Energy, https://www.homerenergy.com/, 2020.
• [38] Dursun, B. (2015). Determination of Optimum Renewable Energy Sources for Public Libraries. Balkan Journal of Electrical and Computer Engineering, 3(2), pp. 70-73.
• [39] Gokcol, C. and Dursun, B. (2011). Determination of the Optimum Renewable Power Generating Systems for an Educational Campus in Kirklareli University. Ejovoc (Electronic Journal of Vocational Colleges), 1(1), pp. 8-17.
• [40] Turkish State Meteorological Service, https://mgm.gov.tr, 2017.
• [41] Dursun, B. and Gokcol, C. (2014). Impacts of the Renewable Energy Law on the Developments of Wind Energy in Turkey. Renewable and Sustainable Energy Reviews, 40(1), pp. 318-325.