OPTIMIZATION OF OPERATION OF ENERGY SUPPLY SYSTEMS WITH CO-GENERATION AND ABSORPTION REFRIGERATION

Abstract

Co-generation systems, together with absorption refrigeration and thermal torage, can result in substantial benefits from the economic, energy and nvironmental point of view. Optimization of operation of such systems is mportant as a component of the entire optimization process in pre-construction hases, but also for short-term energy production planning and system control. his paper proposes an approach for operational optimization of energy supply ystems with small or medium scale co-generation, additional boilers and heat umps, absorption and compression refrigeration, thermal energy storage and nterconnection to the electric utility grid. In this case, the objective is to inimize annual costs related to the plant operation. The optimization problem is efined as mixed integer nonlinear and solved combining modern stochastic echniques: genetic algorithms and simulated annealing with linear rogramming using the object oriented "ESO-MS" software solution for imulation and optimization of energy supply systems, developed as a part of this esearch. This approach is applied to optimize a hypothetical plant that might be sed to supply a real residential settlement in Niš, Serbia. Results are compared o the ones obtained after transforming the problem to mixed 0-1 linear and pplying the branch and bound method.

Dates

  • Submission Date2012-05-03
  • Revision Date2012-06-20
  • Acceptance Date2012-06-29

DOI Reference

10.2298/TSCI120503179S

References

  1. Lozano, M.A. et al., Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints, Energy 35 (2010), 2, pp. 794-805
  2. Orlando, J.A., Cogeneration design guide, ASHRAE, 1996
  3. Oh S.D. et al., Optimal planning and economic evaluation of cogeneration system, Energy 32 (2007), 5, pp. 760-771
  4. Gvozdenac, D.D. et al., Industrial gas turbine operation procedure improvement, Thermal Science 15 (2011), 1, pp. 17-28
  5. Polyzakis, A.L. et al., Long-term optimisation case studies for combined heat and power system, Thermal Science 13 (2009), 4, pp. 49-60
  6. ****, EDUCOGEN-The European Educational Tool on Cogeneration, The European Association for the Promotion of Cogeneration, 2001
  7. Seo, H. et al., Economic optimization of a cogeneration system for apartment houses in Korea, Energy and Buildings 40 (2008), 6, pp. 961-967
  8. Lozano, M.A. et al., Structure optimization of energy supply systems in tertiary sector buildings, Energy and Buildings 41 (2009), 10, pp. 1063-1075
  9. Lozano, M.A. et al., Operational strategy and marginal costs in simple trigeneration systems, Energy 34 (2009), 11, pp. 2001-2008
  10. Cardona E. et al., Energy saving in airports by trigeneration. Part II: Short and long term planning for the Malpensa 2000 CHCP plant, Applied Thermal Engineering 26 (2006), 14-15, pp. 1437-1447
  11. Osman, A. E., Ries, R., Optimization for Cogeneration Systems in Buildings Based on Life Cycle Assessment, Journal of Information Technology in Construction IT Con, 11 (2006), Special issue, pp 269-284
  12. Wakui, T. et al., Effect of power interchange operation of multiple household gas engine cogeneration systems on energy-saving, Energy 34 (2009), 12, pp. 2092-2100
  13. Sakawa M. et al., Operational planning of district heating and cooling plants through genetic algorithms for mixed 0-1 linear programming, European Journal of Operational Research 137 (2002), 3, pp. 677- 687
  14. Weber C. et al., Optimization of an SOFC-based decentralized polygeneration system for providing energy services in an office-building in Tokyo, Applied Thermal Engineering 26 (2006), 13, pp. 1409- 1419
  15. Onovwiona, H.I. et al., Modeling of internal combustion engine based cogeneration systems for residential applications, Applied Thermal Engineering 27 (2007), 5-6, pp. 848-861
  16. Ferrari-Trecate, G. et al., Modeling and Control of Co-generation Power Plants: A Hybrid System Approach, Technical report AUT01-18, Automatic Control Laboratory, ETH Zurich, Zurich, 2002.
  17. Piacentino, A., Cardona, E., On thermoeconomics of energy systems at variable load conditions: Integrated optimization of plant design and operation, Energy Conversion and Management 48 (2007), 8, pp. 2341-2355
  18. Chicco, G., Mancarella, P., Matrix modelling of small-scale trigeneration systems and application to operational optimization, Energy 34 (2009), 3, pp. 261-273
  19. Kalina, J., Skorek, J., Cost Effective Operation of Boiler Plant with Embedded Gas Engine Cogeneration Module, Proceedings (Editors: Frangopoulos, C.A., Rakopoulos, C.D., Tsatsaronis, G.), 19th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems ECOS 2006, Aghia Pelagia, Crete, Greece, July 12-14, 2006, Vol. 1-3, pp. 1201-1209
  20. Li H. et al., Thermal-economic optimization of a distributed multi-generation energy system—A case study of Beijing, Applied Thermal Engineering 26 (2006), 7, pp. 709-719
  21. Gorji-Bandpy, M., Goodarzian, H., Exergoeconomic optimization of gas turbine power plants operating parameters using genetic algorithms: a case study, Thermal Science 15 (2011), 1, pp. 43-54
  22. Gonzalez-Monroy, L.I., Cordoba, A., Optimization of energy supply systems with simulated annealing: continuous and discrete descriptions, Physica A 284 (2000), 1-4, pp. 433-447
  23. Burer M. et al., Multi-criteria optimization of a district cogeneration plant integrating a solid oxide fuel cell-gas turbine combined cycle, heat pumps and chillers, Energy 28 (2003), 6, pp. 497-518
  24. Aki H. et al., Analysis of energy service systems in urban areas and their CO2 mitigations and economic impacts, Applied Energy 83 (2006), 10, pp. 1076-1088
  25. Arcuri P. et al., A mixed integer programming model for optimal design of trigeneration in a hospital complex, Energy 32 (2007), 8, pp. 1430-1447
  26. Ortiga, J. et al., Selection of typical days for the characterisation of energy demand in cogeneration and trigeneration optimisation models for buildings, Energy Conversion and Management 52 (2011), 4, pp. 1934-1942
  27. Stojiljkoviæ, M.M. et al., Mathematical modeling and optimization of tri-generation systems with reciprocating engines, Thermal Science 14 (2010), 2, pp. 541-553
  28. Stojiljkoviæ, M.M. et al., Effects of implementation of co-generation in the district heating system of the Faculty of Mechanical Enginnering in Niš, Thermal Science 14 (2010), Suppl., pp. S41-S51
  29. Rao, S.S., Engineering Optimization: Theory and Practice, John Wiley & Sons, Inc., Hoboken, New Jersey, USA, 2009
  30. ****, eQUEST, The QUick Energy Simulation Tool, doe2.com/equest/
  31. Bejan, A. et al., Thermal Design and Optimization, John Wiley & Sons Inc., New York, USA, 1996
  32. ****, EnergyPlus Engineering Reference. The Reference to EnergyPlus Calculations, 2011, apps1.eere.energy.gov/buildings/energyplus/pdfs/engineeringreference.pdf
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