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OPTIMIZATION MODEL FOR IMPROVEMENT OF DISTRICT HEATING SYSTEM BY INTEGRATION OF COGENERATION

ABSTRACT
Modelling of a complex district heating system by increasing the energy system efficiency and by reducing emissions through the implementation of new and low carbon technologies is presented. One of these technologies is cogeneration which is used to increase energy efficiency and to reduce CO2 emissions. Presented model uses linear programming as a basis for mathematical modelling of the energy system. The mathematical calculation is set pragmatically, so it can be efficiently and reliably used to assess the impact of most important parameters on the efficiency of the regional energy system. The model analyzes the effects of integration of cogeneration into the existing energy system using a given goal function. The basic criterion is set to be the reduction of environmental impact. The model is successfully tested on the complex district heating system with the power of about 600 MW.
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PAPER SUBMITTED: 2020-05-04
PAPER REVISED: 2020-06-11
PAPER ACCEPTED: 2020-06-23
PUBLISHED ONLINE: 2020-07-11
DOI REFERENCE: https://doi.org/10.2298/TSCI200504207G
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 1, PAGES [307 - 320]
REFERENCES
  1. Xianguo, L., Diversification and localization of energy systems for sustainable development and energy security, Energy Policy, Vol. 33, (2005), pp. 2237-2243
  2. Shesho, I. K., et al., Techno-economic and environmental optimization of heat supply systems in urban areas, Thermal Science, Vol. 22, Suppl. 5, (2018), pp. S1635 - S1647
  3. Connolly, D. et al., Heat Roadmap Europe: combining district heating with heat savings to decarbonise the EU energy system, Energy policy, Vol 65, (2014), pp. 475-489
  4. Puning, X. et al., Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms, Energy, 188, (2019), 116085
  5. Hast, A., Syri, S., Lekavicius, V., Galinis, A., District heating in cities as part of low-carbon energy system, Energy, Vol 152, (2018), pp. 627-639
  6. Soltero, V.M., Chacartegui, R., Ortiz, C., Velazquez, R., Evaluation of the potential of natural gas district cogeneration in Spain as a tool for decarbonization of the economy, Energy, 115, part 3, (2016), pp. 1513-1532
  7. Felipe Andreu, J., et al., Evaluation of integration of solar energy into the district heating system of the city of Velika Gorica, Thermal Science, Vol. 20, No. 4, (2016), pp. 1049-1060
  8. Novak, P., Sustainable energy system with zero emissions of GHG for cities and countries, Energy and Buildings, Vol. 98, (2015), pp. 27-33
  9. Rezaie, B., Rosen, M., District heating and cooling: Review of technology and potential enhancements, Applied Energy, Vol. 93, (2012), pp. 2-10
  10. Gambini, M., Vellini, M., On Selection and Optimal Design of Cogeneration Units in the Industrial Sector, Journal of Sustainable Development of Energy, Water and Environment Systems, Vol. 7, Issue 1, (2019), pp. 168-192
  11. Schade, B., Wiesenthal, T., Comparison of Long-Term World Energy Studies: assumptions and results from four world energy models, European Communities, Joint Research Centre, Institute for Prospective Technological Studies, Spain, 2007
  12. Mojica, J., et al., Optimal combined long-term facility design and short-term operational strategy for CHP capacity investments, Energy, Vol. 118, (2017), pp. 97-115
  13. Erdogdu, E., Electricity demand analysis using co-integration and ARIMA modelling: A case study of Turkey, Energy Policy, Vol. 35, (2007), pp. 1129-1146
  14. Gvozdenac, D., et al., Assessment of potential for natural gas-based cogeneration in Thailand, Energy, Vol. 34 (4), (2009), pp. 465-475
  15. Gvozdenac Urošević, B., Model of distributed cogeneration planning and integration into regional energy system, Ph.D. thesis, University of Novi Sad, Novi Sad, Serbia, 2011
  16. Connolly, D., Lund, H., Mathiesen, B.V., Leahy, M., A review of computer tools for analysing the integration of renewable energy into various energy systems, Applied Energy, Volume 87, Issue 4, (2010), pp. 1059-1082
  17. Dicorato, M., et al. Environmental-constrained energy planning using energy-efficiency and distributed-generation facilities, Renewable Energy, Vol. 33, (2008), pp. 1297-1313
  18. Gvozdenac, D., Gvozdenac Urošević, B., Menke, C., Urošević, D., Bangviwat, A., High efficiency cogeneration: CHP and non-CHP energy, Energy, Vol. 135, (2017), pp. 269-278
  19. ***EU Directive on energy efficiency, Official Journal of the European Union L 315/1, 14.11.2012
  20. ***Rulebook on Energy Efficiency of Buildings, Official Gazette of the Republic of Serbia 61/2011
  21. Decree on Minimum Energy Efficiency Requirements that New and Rehabilitated Installations Must Meet, RS Official Gazette, No. 112 of December 15, 2017
  22. ***Decree on Establishment of Limited Values of Annual Energy Consumption on the basis of which companies are subject to the energy management system, annual energy savings targets and the application form for consumption, Official Gazette of the RS, No. 18/16 of March 1, 2016
  23. ***Third Action Plan for Energy Efficiency of the Republic of Serbia, RS Official Gazette No. 1/17, January 6, 2017
  24. ***Development Energy Strategy of the Republic of Serbia until 2025 with projections until 2030, RS Official Gazette, No. 101 of December 8, 2015.
  25. ***IEA Data & Statistics, IEAwww.iea.org

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