Use of Modified Cuckoo Search algorithm in the design process of integrated power systems for modern and energy self-sufficient farms

Janusz Piechocki, Dominik Ambroziak, Aleksander Palkowski and Grzegorz Redlarski

Applied Energy, 2014, vol. 114, issue C, 908 pages

Abstract: In the face of increasingly stringent pollutant emission regulations, designing an agricultural holding becomes a difficult challenge of connecting a large number of coefficients that describe an energy system of a farm in regard to its ecological and economic efficiency. One way to cope with this issue is to design an energy self-sufficient farm that integrates various technologies, including renewable energy. However, the selection of appropriate components of such a system may be difficult. Large selection of facilities for management of heating and water systems and the choice of appropriate building technology makes it difficult to solve the problem of optimizing characteristics of such a holding by using standard methods. In this paper the issue of computer-aided design of energy systems for farms is dealt with. The solution proposed use the Modified Cuckoo Search algorithm in the process of optimizing the selection of particular components that influence performance of the power system, such as energy sources, water preparation systems or structure of walls. Presented results of the optimization process with the use of different fitness functions allow to state that the system developed achieved very satisfactory results and is capable to cope with the task. Through the use of the swarm algorithm it is possible to search for solutions in a large feature space and achieve optimality in terms of energy, economy and pollutant emission simultaneously.

Keywords: Energy efficiency; Environmental impact; Integrated power systems; Modified Cuckoo Search; Power system optimization; Swarm optimization (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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DOI: 10.1016/j.apenergy.2013.07.057

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