Abstract
This paper proposes to decide the optimal capacity of the mixed system for thermal and electric power to minimize total capital cost and total CO2 emission while they are satisfying with total thermal demand and total load demand. The Bees Algorithm is used as a multi-objective solver for this work. Optimal Pareto solutions obtained from approximate 0% to 90% CO2 reduction rates are compared with traditional systems like boiler and grid power and those solutions also suggest optimal capacities of the mixed system in each CO2 reduction rate.
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Lee, J.Y., Kim, J.M. (2010). Optimization Methodology of Low Carbon Mixed Energy Systems Using the Bees Algorithm. In: Lee, J.H., Lee, H., Kim, JS. (eds) EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology. Springer Proceedings in Physics, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13624-5_4
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DOI: https://doi.org/10.1007/978-3-642-13624-5_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13623-8
Online ISBN: 978-3-642-13624-5
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