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Improvement of the cogeneration plant economy by using heat accumulator

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  • Bogdan, Željko
  • Kopjar, Damir

Abstract

The optimisation code ACOM (Advanced Cogeneration Optimisation Model) is used with purpose of assessing influence of the district heat accumulator on the Elektrana-Toplana (EL-TO) Zagreb cogeneration plant economic performance. The plant supplies hot water for district heating, steam for industry and electric power. It is possible to achieve economic benefits by charging the accumulator during the day time, when the electricity price is high, and by releasing district heat during cheap night hours, when other parts of equipment may be shut down. The consequences of this strategy are the decrease of total annual electricity production and fuel consumption, whereby the savings of some 1.8mil Euro/a are achieved with the reduction of CO2 emission by about 23,000t/a or 6.4% and SOx by about 200t/a or 16.9%.

Suggested Citation

  • Bogdan, Željko & Kopjar, Damir, 2006. "Improvement of the cogeneration plant economy by using heat accumulator," Energy, Elsevier, vol. 31(13), pages 2285-2292.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:13:p:2285-2292
    DOI: 10.1016/j.energy.2006.01.012
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    Cited by:

    1. Verda, Vittorio & Colella, Francesco, 2011. "Primary energy savings through thermal storage in district heating networks," Energy, Elsevier, vol. 36(7), pages 4278-4286.
    2. Lončar, D. & Duić, N. & Bogdan, Ž., 2009. "An analysis of the legal and market framework for the cogeneration sector in Croatia," Energy, Elsevier, vol. 34(2), pages 134-143.
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    4. Wei Wang & Yang Sun & Sitong Jing & Wenguang Zhang & Can Cui, 2018. "Improved Boiler-Turbine Coordinated Control of CHP Units with Heat Accumulators by Introducing Heat Source Regulation," Energies, MDPI, vol. 11(10), pages 1-15, October.
    5. Rongxiang Yuan & Jun Ye & Jiazhi Lei & Timing Li, 2016. "Integrated Combined Heat and Power System Dispatch Considering Electrical and Thermal Energy Storage," Energies, MDPI, vol. 9(6), pages 1-17, June.
    6. Kim, Jong Suk & Edgar, Thomas F., 2014. "Optimal scheduling of combined heat and power plants using mixed-integer nonlinear programming," Energy, Elsevier, vol. 77(C), pages 675-690.
    7. Yang, Tingting & Liu, Ziyuan & Zeng, Deliang & Zhu, Yansong, 2023. "Simulation and evaluation of flexible enhancement of thermal power unit coupled with flywheel energy storage array," Energy, Elsevier, vol. 281(C).
    8. Ryszard Bartnik & Zbigniew Buryn & Anna Hnydiuk-Stefan & Adam Juszczak, 2018. "Methodology and a Continuous Time Mathematical Model for Selecting the Optimum Capacity of a Heat Accumulator Integrated with a CHP Plant," Energies, MDPI, vol. 11(5), pages 1-17, May.
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    11. Yi, Zonggen & Luo, Yusheng & Westover, Tyler & Katikaneni, Sravya & Ponkiya, Binaka & Sah, Suba & Mahmud, Sadab & Raker, David & Javaid, Ahmad & Heben, Michael J. & Khanna, Raghav, 2022. "Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system," Applied Energy, Elsevier, vol. 328(C).
    12. Zhang, Yin & Wang, Xin & Zhang, Yinping & Zhuo, Siwen, 2016. "A simplified model to study the location impact of latent thermal energy storage in building cooling heating and power system," Energy, Elsevier, vol. 114(C), pages 885-894.
    13. Mongibello, Luigi & Bianco, Nicola & Caliano, Martina & Graditi, Giorgio, 2016. "Comparison between two different operation strategies for a heat-driven residential natural gas-fired CHP system: Heat dumping vs. load partialization," Applied Energy, Elsevier, vol. 184(C), pages 55-67.
    14. Fragaki, Aikaterini & Andersen, Anders N. & Toke, David, 2008. "Exploration of economical sizing of gas engine and thermal store for combined heat and power plants in the UK," Energy, Elsevier, vol. 33(11), pages 1659-1670.
    15. Lai, Sau Man & Hui, Chi Wai, 2010. "Integration of trigeneration system and thermal storage under demand uncertainties," Applied Energy, Elsevier, vol. 87(9), pages 2868-2880, September.
    16. Kocijel, Lino & Mrzljak, Vedran & Glažar, Vladimir, 2020. "Numerical analysis of geometrical and process parameters influence on temperature stratification in a large volumetric heat storage tank," Energy, Elsevier, vol. 194(C).
    17. Arteconi, A. & Hewitt, N.J. & Polonara, F., 2012. "State of the art of thermal storage for demand-side management," Applied Energy, Elsevier, vol. 93(C), pages 371-389.
    18. Chesi, Andrea & Ferrara, Giovanni & Ferrari, Lorenzo & Magnani, Sandro & Tarani, Fabio, 2013. "Influence of the heat storage size on the plant performance in a Smart User case study," Applied Energy, Elsevier, vol. 112(C), pages 1454-1465.
    19. Buoro, Dario & Pinamonti, Piero & Reini, Mauro, 2014. "Optimization of a Distributed Cogeneration System with solar district heating," Applied Energy, Elsevier, vol. 124(C), pages 298-308.
    20. Capuder, Tomislav & Mancarella, Pierluigi, 2014. "Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options," Energy, Elsevier, vol. 71(C), pages 516-533.
    21. González-Pino, I. & Pérez-Iribarren, E. & Campos-Celador, A. & Terés-Zubiaga, J., 2020. "Analysis of the integration of micro-cogeneration units in space heating and domestic hot water plants," Energy, Elsevier, vol. 200(C).
    22. Gbemi Oluleye & John Allison & Nicolas Kelly & Adam D. Hawkes, 2018. "An Optimisation Study on Integrating and Incentivising Thermal Energy Storage (TES) in a Dwelling Energy System," Energies, MDPI, vol. 11(5), pages 1-17, April.
    23. Fopah-Lele, Armand & Rohde, Christian & Neumann, Karsten & Tietjen, Theo & Rönnebeck, Thomas & N'Tsoukpoe, Kokouvi Edem & Osterland, Thomas & Opel, Oliver & Ruck, Wolfgang K.L., 2016. "Lab-scale experiment of a closed thermochemical heat storage system including honeycomb heat exchanger," Energy, Elsevier, vol. 114(C), pages 225-238.
    24. Marguerite, C. & Andresen, G.B. & Dahl, M., 2018. "Multi-criteria analysis of storages integration and operation solutions into the district heating network of Aarhus – A simulation case study," Energy, Elsevier, vol. 158(C), pages 81-88.

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