Smart Energy Systems, A pathway to Renewable Energies Development

Document Type : Review Article

Authors

1 Master Student, Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Iran

2 Associate Professor, Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Iran

Abstract

Population growth and the country's need to move towards development, requires the optimal use of energy. Nowadays, the current energy systems of the country, use fossil fuels to meet this need. The limitations and exhaustibility of fossil fuels, the creation of various types of environmental pollutions, greenhouse gas emissions and global warming, that indicates the obvious disadvantages of the use of non-renewable energies, further underscores the need for faster movement towards using renewable energies. The lack of an efficient and optimal energy model and a defect in the structure of the energy systems of the country, is one of the main reasons why in spite of the awareness of the problems of non-renewable energies and its harmfulness it is still we use these energy baskets. Smart energy systems, considering each of the three main energy systems (electricity, heat, and transmission) interconnect each other, examines the energy system as a whole to provide an appropriate solution to meet the demand as well as the need for each of its subset sectors, with the highest technical and economic justification. So, in this paper, after expressing the theoretical foundations of smart energy systems and examining the background of its formation and its use, the main problem (The lack of proportionality between increasing population and increasing energy consumption in pursuit of sustainable development) has been studied, till by exploring the methods of doing this work, a smooth path to development in the use of renewable energies to be founded.

Keywords

References

[1]     P. A. Østergaard, Reviewing EnergyPLAN simulations and performance indicator applications in EnergyPLAN simulations, Applied Energy, Vol. 154, pp. 921-933, 2015.
[2]   N.I. Voropai, V.A. Stennikov, Integrated Smart Energy Systems-Russian dimension, Internationaler ETG-Kongress, Berlin, 2013.
[3]   H. Lund, Renewable Energy Systems - A Smart Energy Systems Approach to the Choice and Modeling of 100% Renewable Solutions, 2nd Edition, Elsevier Inc, pp. 1-362, 2014.
[4]   M.T. Qadri, M.I. Anis, M. Nawaz Irshad khan, “Totally Integrated Smart Energy System through Data Acquisition via Remote Location”, International Journal of Electrical and Computer Engineering, Vol. 3, No. 2, pp. 394-397, 2009.
[5]   B.V. Mathiesen, H. Lund, K. Hansen, I. Ridjan, S. Djørup, S. Nielsen, et al., IDA's energy vision 2050. A smart energy system strategy for 100% renewable, Aalborg University, Denmark, 2015.
[6]   P. Crossley, A. Beviz, Smart energy systems: Transitioning renewables onto the grid, Renewable Energy Focus, Vol.11, Issue 5, pp. 54-59, 2010.
[7]  K. Saito, J. Jeong, Development of General-Purpose Energy System Simulator, 2nd International Conference on Advances in Energy Engineering, Energy Procedia, Vol. 14, pp. 1595-1600, 2011.
[8]   M. Simonov, M. Mussetta, F. Grimaccia, et al., Artificial intelligence forecast of PV plant production for integration in smart energy systems, International Review of Electrical Engineering, Vol. 7, No. 5, pp. 3454-3460, 2012.
[9]   O. van Pruissen, A. van der Togt, E. Werkman, Energy efficiency comparison of a centralized and a multi-agent market-based heating system in a field test, 6th International Conference on Sustainability in Energy and Buildings, Energy Procedia, Vol. 16 pp. 170-179, 2014.
[10] B. Mrazovac, B.M. Todorovic, M.Z. Bjelica, D. Kukolj, Device-free indoor human presence detection method based on the information entropy of RSSI variations, Electronics Letters, Vol. 49, no. 22, pp. 1386-1388, 2013.
[11] K. Saito, J. Jeong, Development of General-Purpose Energy System Simulator, Energy Procedia, Vol. 14, pp. 1595-1600, 2012.
[12] R. Halvgaard, P. Bacher, B. Perers, E. Andersen, S. Furbo, J.B. Jørgensen, et al. Model predictive control for a smart solar tank based on weather and consumption forecasts, Energy Procedia, Vol. 30, pp. 270-278, 2012.
[13] H. Lund, A.N. Andersen, P.A. Østergaard, B.V. Mathiesen, D. Connolly, From electricity smart grids to smart energy systems - a market operation-based approach and understanding, Energy, Vol. 42, pp. 96-102, 2012.
[14] F. Hvelplund, B. Möller, K. Sperling, Local ownership, smart energy systems and better wind power economy, Energy Strategy Reviews, Vol. 1, pp. 164-170, 2013
[15] D. Connolly, B.V. Mathiesen, A technical and economic analysis of one potential pathway to a 100% renewable energy system, International Journal of Sustainable Energy Planning Management, Vol.1, pp. 7-28, 2014.
[16] B.V. Mathiesen, H. Lund, D. Connolly, H. Wenzel, P.A. Østergaard, B. Möller, et al., Smart Energy Systems for coherent 100% renewable energy and transport solutions, Applied Energy, Vol. 145, pp. 139-154, 2015.
[17] E.H. Noppers, K. Keizer, M. Milovanovic, L. Steg, The importance of instrumental, symbolic, and environmental attributes for the adoption of smart energy systems, Energy Policy, Vol. 98, pp. 12-18, 2016.
[18] S. Paardekooper, R. Lund, H. Lund, Smart Energy Systems, Environmental Science and Technology, Vol. 46, pp. 228-260, 2019.
[19] International Energy Agency, World energy balances, Total Primary Energy Supply (TPES) by source of IRAN, pp. 262, 2018.
[23] L. Schrattenholzer, The Energy Supply Model MESSAGE, International Institute for Applied Systems Analysis, Laxenburg, 2018.
[24] J. J. Seebregts, G. Goldstein, K. Smekens, Energy/Environmental Modeling with the MARKAL Family of Models, Energy Research Centre of the Netherlands and International Resources Group Ltd, 2011.
Journal of Renewable and New Energy
Volume 7, Issue 2 - Serial Number 14
September 2020
Pages 58-67

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History

  • Receive Date: 08 July 2019
  • Revise Date: 04 August 2019
  • Accept Date: 10 December 2019

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