Supply Mix Optimization for Decentralized Energy Systems

J. K. Gruber, J. L. Mínguez Fernández, M. Prodanovic

Electrical Systems Unit, IMDEA Energy Institute, Móstoles (Madrid), Spain.

DOI: 10.4236/ojapps.2013.32B002                

Abstract

In recent years, the energy sector has undergone an important transformation as a result of technological progress and socio-economic development. The continuous integration of renewable energy sources forces a gradual transition from the traditional business model based on a reduced number of large power plants to a more decentralized energy production. The decentralization and the increased number of energy sources lead to a series of new challenges in the energy sector. This paper presents an approach to determine the optimal energy supply mix for small and medium sized buildings or installations. The optimization algorithm considers the electricity and heat demand and determines the optimal combination of energy sources by minimizing an economic index. The optimization problem can be solved for multiple demand profiles and takes into account the possibility to integrate accumulator systems. The proposed approach provides a high degree of flexibility and can be used to study the influence of the energy prices on the optimal energy supply mix. The performance of the proposed optimization approach is illustrated by the results obtained from a simulation example.

Keywords

Energy Supply Mix; Optimal Configuration; Decentralized Generation

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	L. Pérez-Lombard, J. Ortiz and C. Pout, “A Review on Buildings Energy Consumption Information,” Energy and Buildings, Vol. 40, No. 3, 2008, pp. 394-398. doi:10.1016/j.enbuild.2007.03.007
[2]	J. Iwaro and A. Mwasha, “A Review of Building Energy Regulation and Policy for Energy Conservation in Developing Countries,” Energy Policy, Vol. 38, No. 12, 2010, pp. 7744-7755. doi:10.1016/j.enpol.2010.08.027
[3]	A. H. C. dos Santos, M. T.W. Fagá and E. M. dos Santos, “The Risks of An Energy Efficiency Policy for Buildings Based Solely on the Consumption Evaluation of Final Energy,” International Journal of Electrical Power & Energy Systems, Vol. 44, No. 1, 2013, pp. 70-77. doi:10.1016/j.ijepes.2012.07.017
[4]	M. A. Lozano, J. C. Ramos, M. Carvalho and L. M. Serra, “Structure Optimization of Energy Supply Systems in Tertiary Sector Buildings,” Energy and Buildings, Vol. 41, No. 10, 2009, pp. 1063-1075. doi:10.1016/j.enbuild.2009.05.008
[5]	C. Weber and N. Shah, “Optimisation Based Design of A District Energy System for An Ecotown in the United Kingdom,” Energy, Vol. 36, No. 2, 2011, pp. 1292-1308. doi:10.1016/j.energy.2010.11.014
[6]	M. Prodanovic, T. Gafurov and M.B. Téllez, “A Demand Based Approach to Optimisation of Energy Supply Mix for Smart Buildings,” Proceedings of the 2012 IEEE PES Innovative Smart Grid Technologies Conference, Washington, 2012, pp. 1-8. doi:10.1109/ISGT.2012.6175731
[7]	D. Buoro, M. Casisi, A. De Nardi, P. Pinamonti and M. Reini, “Multicriteria Optimization of A Distributed Energy Supply System for an Industrial Area,” Energy, 2013. doi:10.1016/j.energy.2012.12.003
[8]	C. De Jonghe, E. Delarue, R. Belmans and W. D’haeseleer, “Determining Optimal Electricity Technology Mix with High Level of Wind Power Penetration,” Applied Energy, Vol. 88, No. 6, 2011, pp. 2231-2238. doi:10.1016/j.apenergy.2010.12.046
[9]	A. Chee Tahir and R. Ba?ares-Alcántara, “A Knowledge Representation Model for the Optimisation of Electricity Generation Mixes,” Applied Energy, Vol. 97, 2012, pp. 77-83. doi:10.1016/j.apenergy.2011.12.077
[10]	T. Huld, R. Müller and A. Gambardella, “A New Solar Radiation Database for Estimating PV Performance in Europe and Africa,” Solar Energy, Vol. 86, No. 6, 2012, pp. 1803-1815. doi:10.1016/j.solener.2012.03.006