ICIT '09 Proceedings of the 2009 IEEE International Conference on Industrial Technology
Analysis on Thermal Calculation Model and Influencing Factors of Steam Pipeline
ISDEA '10 Proceedings of the 2010 International Conference on Intelligent System Design and Engineering Application - Volume 01
A multi-objective genetic local search algorithm and itsapplication to flowshop scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Selection of genetic algorithm operators for urban drainage model parameter optimisation
Mathematical and Computer Modelling: An International Journal
Applying modified NSGA-II for bi-objective supply chain problem
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
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Because of the energy shortage and energy price rise, energy efficiency becomes a worldwide hot spot problem. It is not only a problem about cost reduction, but also a great contribute to the environmental protection. However, the energy efficiency was always ignored in the past decades. In order to gain more benefit and become more competitive in the market, energy efficiency should be considered as an essential factor in early planning phase. To overcome these problems, a new approach, which introduces energy efficiency as a key criterion into the planning process, is presented in this article. An energy recovery network is built according to the analysis of process and product demands. Afterwards the energy loss of the whole system, transport performance and space demand are simultaneously taken into account with the purpose of finding good facility planning from both energy and economic aspects. Finally, a practical expanding case is used to validate the correctness and effectiveness of the proposed approach.