Optimization methodology of low carbon mixed energy systems using the Bees Algorithm

Ji Young Lee, Jae Min Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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.
LanguageEnglish
Title of host publicationEKC 2009 Proceedings of the EU-Korea Conference on Science and Technology
EditorsJoung Hwan Lee, Habin Lee, Jung-Sik Kim
Place of PublicationBerlin
Pages31-39
Number of pages9
DOIs
Publication statusPublished - 12 Jul 2010
EventEU-Korea Conference on Science and Technology - Wokefield Park, Reading, United Kingdom
Duration: 5 Aug 20097 Aug 2009
http://www.ultari.org/kofst/ultra/speaker/Speaker.do?a=Detail&c=control&sc=1&mc=172&pageNo=1&listSize=10&pageSize=10&searchCol=&searchText=&fromDate=&toDate=&speakYear=2009&dataNo=128

Publication series

NameSpringer Proceedings in Physics
PublisherSpringer Berlin Heidelberg
Volume135
ISSN (Print)0930-8989

Conference

ConferenceEU-Korea Conference on Science and Technology
Abbreviated titleEKC 2009
CountryUnited Kingdom
CityReading
Period5/08/097/08/09
Internet address

Fingerprint

Carbon
Boilers
Costs
Hot Temperature

Cite this

Lee, J. Y., & Kim, J. M. (2010). Optimization methodology of low carbon mixed energy systems using the Bees Algorithm. In J. H. Lee, H. Lee, & J-S. Kim (Eds.), EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology (pp. 31-39). (Springer Proceedings in Physics; Vol. 135). Berlin. https://doi.org/10.1007/978-3-642-13624-5_4
Lee, Ji Young ; Kim, Jae Min. / Optimization methodology of low carbon mixed energy systems using the Bees Algorithm. EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology. editor / Joung Hwan Lee ; Habin Lee ; Jung-Sik Kim. Berlin, 2010. pp. 31-39 (Springer Proceedings in Physics).
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title = "Optimization methodology of low carbon mixed energy systems using the Bees Algorithm",
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.",
author = "Lee, {Ji Young} and Kim, {Jae Min}",
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Lee, JY & Kim, JM 2010, Optimization methodology of low carbon mixed energy systems using the Bees Algorithm. in JH Lee, H Lee & J-S Kim (eds), EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology. Springer Proceedings in Physics, vol. 135, Berlin, pp. 31-39, EU-Korea Conference on Science and Technology, Reading, United Kingdom, 5/08/09. https://doi.org/10.1007/978-3-642-13624-5_4

Optimization methodology of low carbon mixed energy systems using the Bees Algorithm. / Lee, Ji Young; Kim, Jae Min.

EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology. ed. / Joung Hwan Lee; Habin Lee; Jung-Sik Kim. Berlin, 2010. p. 31-39 (Springer Proceedings in Physics; Vol. 135).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N2 - 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.

AB - 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 JY, Kim JM. Optimization methodology of low carbon mixed energy systems using the Bees Algorithm. In Lee JH, Lee H, Kim J-S, editors, EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology. Berlin. 2010. p. 31-39. (Springer Proceedings in Physics). https://doi.org/10.1007/978-3-642-13624-5_4