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Simulation-based optimization of sustainable national energy systems

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  • Batas Bjelić, Ilija
  • Rajaković, Nikola

Abstract

The goals of the EU2030 energy policy should be achieved cost-effectively by employing the optimal mix of supply and demand side technical measures, including energy efficiency, renewable energy and structural measures. In this paper, the achievement of these goals is modeled by introducing an innovative method of soft-linking of EnergyPLAN with the generic optimization program (GenOpt). This soft-link enables simulation-based optimization, guided with the chosen optimization algorithm, rather than manual adjustments of the decision vectors. In order to obtain EnergyPLAN simulations within the optimization loop of GenOpt, the decision vectors should be chosen and explained in GenOpt for scenarios created in EnergyPLAN. The result of the optimization loop is an optimal national energy master plan (as a case study, energy policy in Serbia was taken), followed with sensitivity analysis of the exogenous assumptions and with focus on the contribution of the smart electricity grid to the achievement of EU2030 goals. It is shown that the increase in the policy-induced total costs of less than 3% is not significant. This general method could be further improved and used worldwide in the optimal planning of sustainable national energy systems.

Suggested Citation

  • Batas Bjelić, Ilija & Rajaković, Nikola, 2015. "Simulation-based optimization of sustainable national energy systems," Energy, Elsevier, vol. 91(C), pages 1087-1098.
    • Handle: RePEc:eee:energy:v:91:y:2015:i:c:p:1087-1098
    DOI: 10.1016/j.energy.2015.09.006
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    1. Koltsaklis, Nikolaos E. & Liu, Pei & Georgiadis, Michael C., 2015. "An integrated stochastic multi-regional long-term energy planning model incorporating autonomous power systems and demand response," Energy, Elsevier, vol. 82(C), pages 865-888.
    2. Delucchi, Mark A. & Jacobson, Mark Z., 2011. "Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies," Energy Policy, Elsevier, vol. 39(3), pages 1170-1190, March.
    3. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    4. van Vliet, Oscar & Krey, Volker & McCollum, David & Pachauri, Shonali & Nagai, Yu & Rao, Shilpa & Riahi, Keywan, 2012. "Synergies in the Asian energy system: Climate change, energy security, energy access and air pollution," Energy Economics, Elsevier, vol. 34(S3), pages 470-480.
    5. Reiche, Danyel, 2006. "Renewable energies in the EU-Accession States," Energy Policy, Elsevier, vol. 34(3), pages 365-375, February.
    6. Ghaderi, A. & Parsa Moghaddam, M. & Sheikh-El-Eslami, M.K., 2014. "Energy efficiency resource modeling in generation expansion planning," Energy, Elsevier, vol. 68(C), pages 529-537.
    7. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "An integrated model for long-term power generation planning toward future smart electricity systems," Applied Energy, Elsevier, vol. 112(C), pages 1424-1437.
    8. Cedric De Jonghe & Benjamin F. Hobbs & Ronnie Belmans, 2011. "Integrating Short-term Demand Response Into Long-Term Investment Planning," Working Papers EPRG 1113, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    9. De Jonghe, C. & Hobbs, B. F. & Belmans, R., 2011. "Integrating short-term demand response into long-term investment planning," Cambridge Working Papers in Economics 1132, Faculty of Economics, University of Cambridge.
    10. Muis, Z.A. & Hashim, H. & Manan, Z.A. & Taha, F.M. & Douglas, P.L., 2010. "Optimal planning of renewable energy-integrated electricity generation schemes with CO2 reduction target," Renewable Energy, Elsevier, vol. 35(11), pages 2562-2570.
    11. P. Massé & R. Gibrat, 1957. "Application of Linear Programming to Investments in the Electric Power Industry," Management Science, INFORMS, vol. 3(2), pages 149-166, January.
    12. López-Peña, Álvaro & Pérez-Arriaga, Ignacio & Linares, Pedro, 2012. "Renewables vs. energy efficiency: The cost of carbon emissions reduction in Spain," Energy Policy, Elsevier, vol. 50(C), pages 659-668.
    13. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    14. Lund, Henrik & Andersen, Anders N. & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Connolly, David, 2012. "From electricity smart grids to smart energy systems – A market operation based approach and understanding," Energy, Elsevier, vol. 42(1), pages 96-102.
    15. Meier, Alan & Rosenfeld, Arthur H. & Wright, Janice, 1982. "Supply curves of conserved energy for California's residential sector," Energy, Elsevier, vol. 7(4), pages 347-358.
    16. Deane, J.P. & Chiodi, Alessandro & Gargiulo, Maurizio & Ó Gallachóir, Brian P., 2012. "Soft-linking of a power systems model to an energy systems model," Energy, Elsevier, vol. 42(1), pages 303-312.
    17. Tovilović, Duško M. & LJ. Rajaković, Nikola, 2015. "The simultaneous impact of photovoltaic systems and plug-in electric vehicles on the daily load and voltage profiles and the harmonic voltage distortions in urban distribution systems," Renewable Energy, Elsevier, vol. 76(C), pages 454-464.
    18. Pina, André & Silva, Carlos A. & Ferrão, Paulo, 2013. "High-resolution modeling framework for planning electricity systems with high penetration of renewables," Applied Energy, Elsevier, vol. 112(C), pages 215-223.
    19. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    20. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "Modelling the existing Irish energy-system to identify future energy costs and the maximum wind penetration feasible," Energy, Elsevier, vol. 35(5), pages 2164-2173.
    21. Lund, H., 2006. "Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply," Renewable Energy, Elsevier, vol. 31(4), pages 503-515.
    22. Batas Bjelić, Ilija & Rajaković, Nikola & Ćosić, Boris & Duić, Neven, 2013. "Increasing wind power penetration into the existing Serbian energy system," Energy, Elsevier, vol. 57(C), pages 30-37.
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