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A hybrid approach for the efficient synthesis of renewable energy systems

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  1. Ho, Wai Shin & Macchietto, Sandro & Lim, Jeng Shiun & Hashim, Haslenda & Muis, Zarina Ab. & Liu, Wen Hui, 2016. "Optimal scheduling of energy storage for renewable energy distributed energy generation system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1100-1107.
  2. Murray, Portia & Orehounig, Kristina & Grosspietsch, David & Carmeliet, Jan, 2018. "A comparison of storage systems in neighbourhood decentralized energy system applications from 2015 to 2050," Applied Energy, Elsevier, vol. 231(C), pages 1285-1306.
  3. Teichgraeber, Holger & Lindenmeyer, Constantin P. & Baumgärtner, Nils & Kotzur, Leander & Stolten, Detlef & Robinius, Martin & Bardow, André & Brandt, Adam R., 2020. "Extreme events in time series aggregation: A case study for optimal residential energy supply systems," Applied Energy, Elsevier, vol. 275(C).
  4. Orehounig, Kristina & Evins, Ralph & Dorer, Viktor, 2015. "Integration of decentralized energy systems in neighbourhoods using the energy hub approach," Applied Energy, Elsevier, vol. 154(C), pages 277-289.
  5. Mimica, Marko & Krajačić, Goran, 2021. "The Smart Islands method for defining energy planning scenarios on islands," Energy, Elsevier, vol. 237(C).
  6. George N. Sakalis & George J. Tzortzis & Christos A. Frangopoulos, 2019. "Intertemporal Static and Dynamic Optimization of Synthesis, Design, and Operation of Integrated Energy Systems of Ships," Energies, MDPI, vol. 12(5), pages 1-50, March.
  7. Bahl, Björn & Lampe, Matthias & Voll, Philip & Bardow, André, 2017. "Optimization-based identification and quantification of demand-side management potential for distributed energy supply systems," Energy, Elsevier, vol. 135(C), pages 889-899.
  8. Cordiner, S. & Mulone, V. & Giordani, A. & Savino, M. & Tomarchio, G. & Malkow, T. & Tsotridis, G. & Pilenga, A. & Karlsen, M.L. & Jensen, J., 2017. "Fuel cell based Hybrid Renewable Energy Systems for off-grid telecom stations: Data analysis from on field demonstration tests," Applied Energy, Elsevier, vol. 192(C), pages 508-518.
  9. Amrollahi, Mohammad Hossein & Bathaee, Seyyed Mohammad Taghi, 2017. "Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response," Applied Energy, Elsevier, vol. 202(C), pages 66-77.
  10. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
  11. Chen, Yizhong & Lu, Hongwei & Li, Jing & Huang, Guohe & He, Li, 2016. "Regional planning of new-energy systems within multi-period and multi-option contexts: A case study of Fengtai, Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 356-372.
  12. Voll, Philip & Jennings, Mark & Hennen, Maike & Shah, Nilay & Bardow, André, 2015. "The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis," Energy, Elsevier, vol. 82(C), pages 446-456.
  13. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
  14. Halmschlager, Daniel & Beck, Anton & Knöttner, Sophie & Koller, Martin & Hofmann, René, 2022. "Combined optimization for retrofitting of heat recovery and thermal energy supply in industrial systems," Applied Energy, Elsevier, vol. 305(C).
  15. Ribó-Pérez, David & Bastida-Molina, Paula & Gómez-Navarro, Tomás & Hurtado-Pérez, Elías, 2020. "Hybrid assessment for a hybrid microgrid: A novel methodology to critically analyse generation technologies for hybrid microgrids," Renewable Energy, Elsevier, vol. 157(C), pages 874-887.
  16. Zhang, Kai & Li, Jingzhi & He, Zhubin & Yan, Wanfeng, 2018. "Microgrid energy dispatching for industrial zones with renewable generations and electric vehicles via stochastic optimization and learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 356-369.
  17. Nižetić, S. & Duić, N. & Papadopulos, A.M. & Tina, G.M. & Grubišić-Čabo, F., 2015. "Energy efficiency evaluation of a hybrid energy system for building applications in a Mediterranean climate and its feasibility aspect," Energy, Elsevier, vol. 90(P1), pages 1171-1179.
  18. Kotzur, Leander & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "Time series aggregation for energy system design: Modeling seasonal storage," Applied Energy, Elsevier, vol. 213(C), pages 123-135.
  19. Najafi, Arsalan & Falaghi, Hamid & Contreras, Javier & Ramezani, Maryam, 2016. "Medium-term energy hub management subject to electricity price and wind uncertainty," Applied Energy, Elsevier, vol. 168(C), pages 418-433.
  20. Janghorban Esfahani, Iman & Ifaei, Pouya & Kim, Jinsoo & Yoo, ChangKyoo, 2016. "Design of Hybrid Renewable Energy Systems with Battery/Hydrogen storage considering practical power losses: A MEPoPA (Modified Extended-Power Pinch Analysis)," Energy, Elsevier, vol. 100(C), pages 40-50.
  21. David Grosspietsch & Marissa Saenger & Bastien Girod, 2019. "Matching decentralized energy production and local consumption: A review of renewable energy systems with conversion and storage technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(4), July.
  22. Segurado, R. & Madeira, J.F.A. & Costa, M. & Duić, N. & Carvalho, M.G., 2016. "Optimization of a wind powered desalination and pumped hydro storage system," Applied Energy, Elsevier, vol. 177(C), pages 487-499.
  23. Lythcke-Jørgensen, Christoffer & Ensinas, Adriano Viana & Münster, Marie & Haglind, Fredrik, 2016. "A methodology for designing flexible multi-generation systems," Energy, Elsevier, vol. 110(C), pages 34-54.
  24. Kılkış, Şiir, 2015. "Exergy transition planning for net-zero districts," Energy, Elsevier, vol. 92(P3), pages 515-531.
  25. Prebeg, Pero & Gasparovic, Goran & Krajacic, Goran & Duic, Neven, 2016. "Long-term energy planning of Croatian power system using multi-objective optimization with focus on renewable energy and integration of electric vehicles," Applied Energy, Elsevier, vol. 184(C), pages 1493-1507.
  26. Mirko M. Stojiljković & Mladen M. Stojiljković & Bratislav D. Blagojević, 2014. "Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics," Energies, MDPI, vol. 7(12), pages 1-28, December.
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