An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings

Choongwan Koo, Taehoon Hong, Jimin Kim, Hyunjoong Kim

Research output: Contribution to journalReview article

25 Citations (Scopus)

Abstract

This study aimed to develop an integrated multi-objective optimization (iMOO) model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target (CERT) (27.0%) for South Korea's residential building sector. This study was conducted in six steps: (i) analysis on the energy consumption patterns of the multi-family housing complexes (MFHCs) by cluster; (ii) establishment of the energy retrofit models for the target MFHC through energy simulation; (iii) scale conversion from the target MFHC to the standard MFHCs by cluster; (iv) life-cycle economic and environmental assessment on the energy retrofit models of the standard MFHCs by cluster; (v) trend analysis of the energy saving effects for the energy retrofit models of the standard MFHCs by cluster; and (vi) establishment of the low-carbon scenario 2020 for achieving the national CERT by using an iMOO model. The results showed that if the optimal low-carbon scenario 2020 is to be implemented as of 2012, the energy-saving effect as of 2020 would be 27.20%. This was determined as follows: (i) the initial investment cost was $1,410,252, 102.5% of the optimized value (optimization goal A); (ii) NPV40 (net present value at year 40) was $18,954,210, 71.9% of the optimized value (optimization goal B); and (iii) SIR40 (saving to investment ratio at year 40) was 5.03, 74.2% of the optimized value (optimization goal C). The proposed model may be useful for policymakers in determining the optimal low-carbon scenario 2020 for achieving the national CERT under the budget limits, from the macro perspective.

Original languageEnglish
Pages (from-to)410-425
Number of pages16
JournalRenewable and Sustainable Energy Reviews
Volume49
DOIs
Publication statusPublished - 2015 May 16

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Multiobjective optimization
Carbon
Energy conservation
Macros
Life cycle
Energy utilization
Economics
Costs

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

Cite this

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title = "An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings",
abstract = "This study aimed to develop an integrated multi-objective optimization (iMOO) model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target (CERT) (27.0{\%}) for South Korea's residential building sector. This study was conducted in six steps: (i) analysis on the energy consumption patterns of the multi-family housing complexes (MFHCs) by cluster; (ii) establishment of the energy retrofit models for the target MFHC through energy simulation; (iii) scale conversion from the target MFHC to the standard MFHCs by cluster; (iv) life-cycle economic and environmental assessment on the energy retrofit models of the standard MFHCs by cluster; (v) trend analysis of the energy saving effects for the energy retrofit models of the standard MFHCs by cluster; and (vi) establishment of the low-carbon scenario 2020 for achieving the national CERT by using an iMOO model. The results showed that if the optimal low-carbon scenario 2020 is to be implemented as of 2012, the energy-saving effect as of 2020 would be 27.20{\%}. This was determined as follows: (i) the initial investment cost was $1,410,252, 102.5{\%} of the optimized value (optimization goal A); (ii) NPV40 (net present value at year 40) was $18,954,210, 71.9{\%} of the optimized value (optimization goal B); and (iii) SIR40 (saving to investment ratio at year 40) was 5.03, 74.2{\%} of the optimized value (optimization goal C). The proposed model may be useful for policymakers in determining the optimal low-carbon scenario 2020 for achieving the national CERT under the budget limits, from the macro perspective.",
author = "Choongwan Koo and Taehoon Hong and Jimin Kim and Hyunjoong Kim",
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T1 - An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings

AU - Koo, Choongwan

AU - Hong, Taehoon

AU - Kim, Jimin

AU - Kim, Hyunjoong

PY - 2015/5/16

Y1 - 2015/5/16

N2 - This study aimed to develop an integrated multi-objective optimization (iMOO) model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target (CERT) (27.0%) for South Korea's residential building sector. This study was conducted in six steps: (i) analysis on the energy consumption patterns of the multi-family housing complexes (MFHCs) by cluster; (ii) establishment of the energy retrofit models for the target MFHC through energy simulation; (iii) scale conversion from the target MFHC to the standard MFHCs by cluster; (iv) life-cycle economic and environmental assessment on the energy retrofit models of the standard MFHCs by cluster; (v) trend analysis of the energy saving effects for the energy retrofit models of the standard MFHCs by cluster; and (vi) establishment of the low-carbon scenario 2020 for achieving the national CERT by using an iMOO model. The results showed that if the optimal low-carbon scenario 2020 is to be implemented as of 2012, the energy-saving effect as of 2020 would be 27.20%. This was determined as follows: (i) the initial investment cost was $1,410,252, 102.5% of the optimized value (optimization goal A); (ii) NPV40 (net present value at year 40) was $18,954,210, 71.9% of the optimized value (optimization goal B); and (iii) SIR40 (saving to investment ratio at year 40) was 5.03, 74.2% of the optimized value (optimization goal C). The proposed model may be useful for policymakers in determining the optimal low-carbon scenario 2020 for achieving the national CERT under the budget limits, from the macro perspective.

AB - This study aimed to develop an integrated multi-objective optimization (iMOO) model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target (CERT) (27.0%) for South Korea's residential building sector. This study was conducted in six steps: (i) analysis on the energy consumption patterns of the multi-family housing complexes (MFHCs) by cluster; (ii) establishment of the energy retrofit models for the target MFHC through energy simulation; (iii) scale conversion from the target MFHC to the standard MFHCs by cluster; (iv) life-cycle economic and environmental assessment on the energy retrofit models of the standard MFHCs by cluster; (v) trend analysis of the energy saving effects for the energy retrofit models of the standard MFHCs by cluster; and (vi) establishment of the low-carbon scenario 2020 for achieving the national CERT by using an iMOO model. The results showed that if the optimal low-carbon scenario 2020 is to be implemented as of 2012, the energy-saving effect as of 2020 would be 27.20%. This was determined as follows: (i) the initial investment cost was $1,410,252, 102.5% of the optimized value (optimization goal A); (ii) NPV40 (net present value at year 40) was $18,954,210, 71.9% of the optimized value (optimization goal B); and (iii) SIR40 (saving to investment ratio at year 40) was 5.03, 74.2% of the optimized value (optimization goal C). The proposed model may be useful for policymakers in determining the optimal low-carbon scenario 2020 for achieving the national CERT under the budget limits, from the macro perspective.

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U2 - 10.1016/j.rser.2015.04.120

DO - 10.1016/j.rser.2015.04.120

M3 - Review article

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VL - 49

SP - 410

EP - 425

JO - Renewable and Sustainable Energy Reviews

JF - Renewable and Sustainable Energy Reviews

SN - 1364-0321

ER -