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Integrated management of cogeneration plants and district heating networks

Author

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  • Pini Prato, Alessandro
  • Strobino, Fabrizio
  • Broccardo, Marco
  • Parodi Giusino, Luigi

Abstract

Combined Heat and Power based District Heating Networks (CHP/DHN) systems represent nowadays one of the most efficient technologies, as an alternative to standard space heating solutions, leading to lower GHG emission in atmosphere. Dynamic modelling of district heating networks is of considerable importance in order to investigate suitable control strategies aimed to optimize the heat production and to manage the system transients following changes in the required heat. Through the analogous electrical systems modelling approach, a component software library has been developed for icon-based dynamic simulation of district heating networks, implementing the mathematical models in Matlab/Simulink environment. The calculation procedure that translates into practice the approach described above, complies with a main flow chart designed to allow for the simulation of the system operation in a quicker-than-real time, throughout the controlled time interval, while imposing the assumed duty and site conditions. The procedure’s main body, as well as being utilized to assess the feasibility and to carry out the conceptual design, once the plant has started up, can be employed as a guide to the operator. Research activity has been focused on the development and integration of a code for dynamic simulation of heat distribution networks with a code for thermo-economics optimization of CHP systems, increasing the possibility of optimizing the matching between CHP plant and thermal users, through the exploitation of thermal storage capacity of the networks. A CHP-based district heating project in Northern Italy was considered as a test case. Results show that integrated management of cogeneration plants and district heating networks allows for the achievement of significant advantages both in terms of economic competitiveness and energy saving: in particular it has been highlighted that only through the support of an intelligent management system it is possible to maximize the potential benefits offered by the exploitation of district heating networks dynamic heat storage capacity.

Suggested Citation

  • Pini Prato, Alessandro & Strobino, Fabrizio & Broccardo, Marco & Parodi Giusino, Luigi, 2012. "Integrated management of cogeneration plants and district heating networks," Applied Energy, Elsevier, vol. 97(C), pages 590-600.
  • Handle: RePEc:eee:appene:v:97:y:2012:i:c:p:590-600
    DOI: 10.1016/j.apenergy.2012.02.038
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    References listed on IDEAS

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    Cited by:

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    2. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    3. 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.
    4. Li, Yan & Chang, Shanshan & Fu, Lin & Zhang, Shuyan, 2016. "A technology review on recovering waste heat from the condensers of large turbine units in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 287-296.
    5. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
    6. Best, Robert E. & Rezazadeh Kalehbasti, P. & Lepech, Michael D., 2020. "A novel approach to district heating and cooling network design based on life cycle cost optimization," Energy, Elsevier, vol. 194(C).
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    8. Weinand, Jann Michael & Kleinebrahm, Max & McKenna, Russell & Mainzer, Kai & Fichtner, Wolf, 2019. "Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
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    10. Ondeck, Abigail D. & Edgar, Thomas F. & Baldea, Michael, 2015. "Optimal operation of a residential district-level combined photovoltaic/natural gas power and cooling system," Applied Energy, Elsevier, vol. 156(C), pages 593-606.
    11. Howell, Shaun & Rezgui, Yacine & Hippolyte, Jean-Laurent & Jayan, Bejay & Li, Haijiang, 2017. "Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 193-214.
    12. Zhao, Shifei & Ge, Zhihua & He, Jie & Wang, Chunlan & Yang, Yongping & Li, Peifeng, 2017. "A novel mechanism for exhaust steam waste heat recovery in combined heat and power unit," Applied Energy, Elsevier, vol. 204(C), pages 596-606.
    13. Duquette, Jean & Rowe, Andrew & Wild, Peter, 2016. "Thermal performance of a steady state physical pipe model for simulating district heating grids with variable flow," Applied Energy, Elsevier, vol. 178(C), pages 383-393.
    14. Yan, Aibin & Zhao, Jun & An, Qingsong & Zhao, Yulong & Li, Hailong & Huang, Yrjö Jun, 2013. "Hydraulic performance of a new district heating systems with distributed variable speed pumps," Applied Energy, Elsevier, vol. 112(C), pages 876-885.
    15. Jiménez-Espadafor Aguilar, Francisco & Quintero, R. Rodríguez & Trujillo, E. Carvajal & García, Miguel Torres, 2014. "Analysis of regulation methods of a combined heat and power plant based on gas turbines," Energy, Elsevier, vol. 72(C), pages 574-589.
    16. Guelpa, Elisa & Barbero, Giulia & Sciacovelli, Adriano & Verda, Vittorio, 2017. "Peak-shaving in district heating systems through optimal management of the thermal request of buildings," Energy, Elsevier, vol. 137(C), pages 706-714.
    17. Vivian, Jacopo & Quaggiotto, Davide & Zarrella, Angelo, 2020. "Increasing the energy flexibility of existing district heating networks through flow rate variations," Applied Energy, Elsevier, vol. 275(C).
    18. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.

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