Hybrid Electrical Storage and Power System for Household Tri-Generation Application

Abstract:

As a crucial constituent in tri-generation application, electric energy storage and power system plays an important role regarding efficient utilization of electrical energy in tri-generation. This paper presents the results showing that the optimization of electrical energy storage is able to promote the performance of tri-generation. Initial investigation, including laboratory tests and computational simulation using Dymola software, have been carried out. A case study exemplifies how diverse hybrid systems accommodate domestic power demands. The outcomes validate that the hybrid electric system consisting of generator, batteries and super capacitor can satisfy the electricity requirements for the household. it is also found that the hybrid system can supply the peak electricity demands where the integration of super capacitor can alleviate the overcharge of batteries in this application.

• Periodical: Advanced Materials Research (Volumes 614-615)
• Pages: 829-836
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.614-615.829
• Online since: December 2012
• Authors: X. P. Chen, Y. D. Wang, J. T. Li, A. P. Roskilly
• Keywords: Dymola Simulation, Energy Management, Hybrid Electric Energy Storage, Super-Capacitor (SC), Tri-Generation

References

[1] Simon Roberts, Infrastructure challenges for the built environment, Energy Policy, 36 (2008), p.4563–4567

DOI: 10.1016/j.enpol.2008.09.010

[2] Gianfranco C,Pierluigi M, Distributed multi-generation: A comprehensive view, Renewable and Sustainable Energy Reviews, 13 (2009), p.535–551.

DOI: 10.1016/j.rser.2007.11.014

[3] Wu D. W., and Wang R. Z., Combined cooling, heating and power: A review, Progress in Energy and Combustion Science, 32 (2006), p.459–495.

DOI: 10.1016/j.pecs.2006.02.001

[4] Huang F.Y, Wu J. Y., Wang R. Z. et al., Evaluation and analysis of novel micro-scale combined cooling, heating and power (MCCHP) system, Energy Conversion and Management, 48 (2007), p.1703–1709.

DOI: 10.1016/j.enconman.2006.11.008

[5] Mago P.J., Fumo N., Chamra L.M., Performance analysis of CCHP and CHP systems operating following the thermal and electric load, International Journal of Energy Research 33 (2009) 852–864.

DOI: 10.1002/er.1526

[6] Wang J.J., Jing Y.Y., Zhang C.F., Optimization of capacity and operation for CCHP system by genetic algorithm, Applied Energy, 87 (2010), p.1325–1335

DOI: 10.1016/j.apenergy.2009.08.005

[7] Mago P.J. , Chamra L.M., Analysis and optimization of CCHP systems based on energy, economical, and environmental considerations, Energy and Buildings, 41(2009), p.1099–1106

DOI: 10.1016/j.enbuild.2009.05.014

[8] Piacentino A., Cardona F., An original multi-objective criterion for the design of small-scale polygeneration systems based on realistic operating conditions, Applied Thermal Engineering, 28 (2008), p.2391–2404

DOI: 10.1016/j.applthermaleng.2008.01.017

[9] G. Wood*, M. Newborough, Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design, Energy and Buildings, 35 (2002), p.821–841

DOI: 10.1016/s0378-7788(02)00241-4

[10] Miguez JL, Murillo S, Porteiro J, et al. , Feasibility of a new domestic CHP tri-generation with heat pump: II. Availability analysis, Applied Thermal Engineering, 24(2004), p.1421–1429.

DOI: 10.1016/j.applthermaleng.2004.01.007