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A complex systems approach to planning, optimization and decision making for energy networks

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  • Beck, Jessica
  • Kempener, Ruud
  • Cohen, Brett
  • Petrie, Jim

Abstract

This paper explores a new approach to planning and optimization of energy networks, using a mix of global optimization and agent-based modeling tools. This approach takes account of techno-economic, environmental and social criteria, and engages explicitly with inherent network complexity in terms of the autonomous decision-making capability of individual agents within the network, who may choose not to act as economic rationalists. This is an important consideration from the standpoint of meeting sustainable development goals. The approach attempts to set targets for energy planning, by determining preferred network development pathways through multi-objective optimization. The viability of such plans is then explored through agent-based models. The combined approach is demonstrated for a case study of regional electricity generation in South Africa, with biomass as feedstock.

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  • Beck, Jessica & Kempener, Ruud & Cohen, Brett & Petrie, Jim, 2008. "A complex systems approach to planning, optimization and decision making for energy networks," Energy Policy, Elsevier, vol. 36(8), pages 2803-2813, August.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:8:p:2803-2813
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    2. Khishtandar, Soheila & Zandieh, Mostafa & Dorri, Behrouz, 2017. "A multi criteria decision making framework for sustainability assessment of bioenergy production technologies with hesitant fuzzy linguistic term sets: The case of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1130-1145.
    3. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    4. Moradi, Mohammad H. & Razini, Saleh & Mahdi Hosseinian, S., 2016. "State of art of multiagent systems in power engineering: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 814-824.
    5. Zhang, Xingping & Luo, Kaiyan & Tan, Qinliang, 2016. "A feedstock supply model integrating the official organization for China's biomass generation plants," Energy Policy, Elsevier, vol. 97(C), pages 276-290.
    6. Scott, James A. & Ho, William & Dey, Prasanta K., 2013. "Strategic sourcing in the UK bioenergy industry," International Journal of Production Economics, Elsevier, vol. 146(2), pages 478-490.
    7. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    8. Trotter, Philipp A. & McManus, Marcelle C. & Maconachie, Roy, 2017. "Electricity planning and implementation in sub-Saharan Africa: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1189-1209.
    9. Lombardi, P. & Sokolnikova, T. & Suslov, K. & Voropai, N. & Styczynski, Z.A., 2016. "Isolated power system in Russia: A chance for renewable energies?," Renewable Energy, Elsevier, vol. 90(C), pages 532-541.
    10. Jürgen Hauber & Chantal Ruppert-Winkel, 2012. "Moving towards Energy Self-Sufficiency Based on Renewables: Comparative Case Studies on the Emergence of Regional Processes of Socio-Technical Change in Germany," Sustainability, MDPI, vol. 4(4), pages 1-40, March.
    11. Abdullahi Olabode ABDULKADRI, 2014. "Achieving the Renewable Energy Target for Jamaica," Expert Journal of Economics, Sprint Investify, vol. 2(1), pages 37-44.
    12. Knight, Christopher J.K. & Penn, Alexandra S. & Hoyle, Rebecca B., 2014. "Comparing the effects of mutualism and competition on industrial districts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 541-557.
    13. Bekkering, J. & Hengeveld, E.J. & van Gemert, W.J.T. & Broekhuis, A.A., 2015. "Designing a green gas supply to meet regional seasonal demand – An operations research case study," Applied Energy, Elsevier, vol. 143(C), pages 348-358.
    14. Liu, Zhen & Lieu, Jenny & Zhang, Xiliang, 2014. "The target decomposition model for renewable energy based on technological progress and environmental value," Energy Policy, Elsevier, vol. 68(C), pages 70-79.
    15. Scott, James A. & Ho, William & Dey, Prasanta K., 2012. "A review of multi-criteria decision-making methods for bioenergy systems," Energy, Elsevier, vol. 42(1), pages 146-156.
    16. Liu, Jiming & Shi, Benyun, 2012. "Towards understanding the robustness of energy distribution networks based on macroscopic and microscopic evaluations," Energy Policy, Elsevier, vol. 49(C), pages 318-327.

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