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Combined heat and power production planning in a waste-to-energy plant on a short-term basis

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  • Touš, Michal
  • Pavlas, Martin
  • Putna, Ondřej
  • Stehlík, Petr
  • Crha, Lukáš

Abstract

In many cases, WtE (waste-to-energy) plants are CHP (combined heat and power) producers. They are often integrated into a central heating system and they also export electricity to the grid. Therefore, they have to plan their operation on a long-term basis (months, years) as well as on a short-term basis (hours, days). Simulation models can effectively support decision making in CHP production planning.

Suggested Citation

  • Touš, Michal & Pavlas, Martin & Putna, Ondřej & Stehlík, Petr & Crha, Lukáš, 2015. "Combined heat and power production planning in a waste-to-energy plant on a short-term basis," Energy, Elsevier, vol. 90(P1), pages 137-147.
    • Handle: RePEc:eee:energy:v:90:y:2015:i:p1:p:137-147
    DOI: 10.1016/j.energy.2015.05.077
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    References listed on IDEAS

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    1. Kusiak, Andrew & Xu, Guanglin, 2012. "Modeling and optimization of HVAC systems using a dynamic neural network," Energy, Elsevier, vol. 42(1), pages 241-250.
    2. Ochoa-Estopier, Lluvia M. & Jobson, Megan & Smith, Robin, 2014. "The use of reduced models for design and optimisation of heat-integrated crude oil distillation systems," Energy, Elsevier, vol. 75(C), pages 5-13.
    3. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    4. Tabasová, Andrea & Kropáč, Jiří & Kermes, Vít & Nemet, Andreja & Stehlík, Petr, 2012. "Waste-to-energy technologies: Impact on environment," Energy, Elsevier, vol. 44(1), pages 146-155.
    5. Hao Liang & Weihua Zhuang, 2014. "Stochastic Modeling and Optimization in a Microgrid: A Survey," Energies, MDPI, vol. 7(4), pages 1-24, March.
    6. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2014. "Short-term electricity planning with increase wind capacity," Energy, Elsevier, vol. 69(C), pages 12-22.
    7. Mohanraj, M. & Jayaraj, S. & Muraleedharan, C., 2012. "Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1340-1358.
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    Citations

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    Cited by:

    1. Putna, Ondřej & Janošťák, František & Šomplák, Radovan & Pavlas, Martin, 2018. "Demand modelling in district heating systems within the conceptual design of a waste-to-energy plant," Energy, Elsevier, vol. 163(C), pages 1125-1139.
    2. Dmitrii Glushkov & Geniy Kuznetsov & Kristina Paushkina & Dmitrii Shabardin, 2018. "The Main Elements of a Strategy for Combined Utilization of Industrial and Municipal Waste from Neighboring Regions by Burning it as Part of Composite Fuels," Energies, MDPI, vol. 11(10), pages 1-22, September.
    3. Máša, Vítězslav & Stehlík, Petr & Touš, Michal & Vondra, Marek, 2018. "Key pillars of successful energy saving projects in small and medium industrial enterprises," Energy, Elsevier, vol. 158(C), pages 293-304.
    4. Leong, Wei Dong & Teng, Sin Yong & How, Bing Shen & Ngan, Sue Lin & Lam, Hon Loong & Tan, Chee Pin & Ponnambalam, S. G., 2019. "Adaptive Analytical Approach to Lean and Green Operations," MPRA Paper 95449, University Library of Munich, Germany, revised 20 May 2019.
    5. Hu, Chenlian & Liu, Xiao & Lu, Jie & Wang, Chi-Hwa, 2020. "Distributionally robust optimization for power trading of waste-to-energy plants under uncertainty," Applied Energy, Elsevier, vol. 276(C).
    6. Teng, Sin Yong & Máša, Vítězslav & Touš, Michal & Vondra, Marek & Lam, Hon Loong & Stehlík, Petr, 2022. "Waste-to-energy forecasting and real-time optimization: An anomaly-aware approach," Renewable Energy, Elsevier, vol. 181(C), pages 142-155.
    7. Dmitrii Glushkov & Geniy Kuznetsov & Kristina Paushkina, 2020. "Switching Coal-Fired Thermal Power Plant to Composite Fuel for Recovering Industrial and Municipal Waste: Combustion Characteristics, Emissions, and Economic Effect," Energies, MDPI, vol. 13(1), pages 1-17, January.
    8. Hrabec, Dušan & Šomplák, Radovan & Nevrlý, Vlastimír & Viktorin, Adam & Pluháček, Michal & Popela, Pavel, 2020. "Sustainable waste-to-energy facility location: Influence of demand on energy sales," Energy, Elsevier, vol. 207(C).
    9. Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

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