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Multi-Objective Sensitivity Analyses for Power Generation Mix: Malaysia Case Study

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@article{IJASEIT2329,
   author = {Siti Mariam Mohd Shokri and Nofri Yenita Dahlan and Hasmaini Mohamad},
   title = {Multi-Objective Sensitivity Analyses for Power Generation Mix: Malaysia Case Study},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {4},
   year = {2017},
   pages = {1353--1360},
   keywords = {Generation Mix; Dynamic Programming (DP); Single Objective; Multi-Objective},
   abstract = {

This paper presents an optimization framework to determine long-term optimal generation mix for Malaysia Power Sector using Dynamic Programming (DP) technique. Several new candidate units with a pre-defined MW capacity were included in the model for generation expansion planning from coal, natural gas, hydro and renewable energy (RE). Four objective cases were considered, 1) economic cost, 2) environmental, 3) reliability and 4) multi-objectives that combining the three cases. Results show that Malaysia optimum generation mix in 2030 for, 1) economic case is 48% from coal, 41% from gas, 3% from hydro and 8% from RE, 2) environmental case is 19% from coal, 58% from gas, 11% from hydro and 12% from RE, 3) for reliability case is 64% from coal, 32% from gas, 3% from hydro and 1% from RE and 4) multi-objective case is 49% from coal, 41% from gas, 7% from hydro and 3% from RE. The findings of this paper are the optimum generation mix for Malaysia from 2013 to 2030 which is less expensive, substantially reduce carbon emission and that less risky.  

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2329},    doi = {10.18517/ijaseit.7.4.2329} }

EndNote

%A Mohd Shokri, Siti Mariam
%A Dahlan, Nofri Yenita
%A Mohamad, Hasmaini
%D 2017
%T Multi-Objective Sensitivity Analyses for Power Generation Mix: Malaysia Case Study
%B 2017
%9 Generation Mix; Dynamic Programming (DP); Single Objective; Multi-Objective
%! Multi-Objective Sensitivity Analyses for Power Generation Mix: Malaysia Case Study
%K Generation Mix; Dynamic Programming (DP); Single Objective; Multi-Objective
%X 

This paper presents an optimization framework to determine long-term optimal generation mix for Malaysia Power Sector using Dynamic Programming (DP) technique. Several new candidate units with a pre-defined MW capacity were included in the model for generation expansion planning from coal, natural gas, hydro and renewable energy (RE). Four objective cases were considered, 1) economic cost, 2) environmental, 3) reliability and 4) multi-objectives that combining the three cases. Results show that Malaysia optimum generation mix in 2030 for, 1) economic case is 48% from coal, 41% from gas, 3% from hydro and 8% from RE, 2) environmental case is 19% from coal, 58% from gas, 11% from hydro and 12% from RE, 3) for reliability case is 64% from coal, 32% from gas, 3% from hydro and 1% from RE and 4) multi-objective case is 49% from coal, 41% from gas, 7% from hydro and 3% from RE. The findings of this paper are the optimum generation mix for Malaysia from 2013 to 2030 which is less expensive, substantially reduce carbon emission and that less risky.  

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2329 %R doi:10.18517/ijaseit.7.4.2329 %J International Journal on Advanced Science, Engineering and Information Technology %V 7 %N 4 %@ 2088-5334

IEEE

Siti Mariam Mohd Shokri,Nofri Yenita Dahlan and Hasmaini Mohamad,"Multi-Objective Sensitivity Analyses for Power Generation Mix: Malaysia Case Study," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4, pp. 1353-1360, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.4.2329.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Mohd Shokri, Siti Mariam
AU  - Dahlan, Nofri Yenita
AU  - Mohamad, Hasmaini
PY  - 2017
TI  - Multi-Objective Sensitivity Analyses for Power Generation Mix: Malaysia Case Study
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 4
Y2  - 2017
SP  - 1353
EP  - 1360
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Generation Mix; Dynamic Programming (DP); Single Objective; Multi-Objective
N2  - 

This paper presents an optimization framework to determine long-term optimal generation mix for Malaysia Power Sector using Dynamic Programming (DP) technique. Several new candidate units with a pre-defined MW capacity were included in the model for generation expansion planning from coal, natural gas, hydro and renewable energy (RE). Four objective cases were considered, 1) economic cost, 2) environmental, 3) reliability and 4) multi-objectives that combining the three cases. Results show that Malaysia optimum generation mix in 2030 for, 1) economic case is 48% from coal, 41% from gas, 3% from hydro and 8% from RE, 2) environmental case is 19% from coal, 58% from gas, 11% from hydro and 12% from RE, 3) for reliability case is 64% from coal, 32% from gas, 3% from hydro and 1% from RE and 4) multi-objective case is 49% from coal, 41% from gas, 7% from hydro and 3% from RE. The findings of this paper are the optimum generation mix for Malaysia from 2013 to 2030 which is less expensive, substantially reduce carbon emission and that less risky.  

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2329 DO - 10.18517/ijaseit.7.4.2329

RefWorks

RT Journal Article
ID 2329
A1 Mohd Shokri, Siti Mariam
A1 Dahlan, Nofri Yenita
A1 Mohamad, Hasmaini
T1 Multi-Objective Sensitivity Analyses for Power Generation Mix: Malaysia Case Study
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 4
YR 2017
SP 1353
OP 1360
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Generation Mix; Dynamic Programming (DP); Single Objective; Multi-Objective
AB 

This paper presents an optimization framework to determine long-term optimal generation mix for Malaysia Power Sector using Dynamic Programming (DP) technique. Several new candidate units with a pre-defined MW capacity were included in the model for generation expansion planning from coal, natural gas, hydro and renewable energy (RE). Four objective cases were considered, 1) economic cost, 2) environmental, 3) reliability and 4) multi-objectives that combining the three cases. Results show that Malaysia optimum generation mix in 2030 for, 1) economic case is 48% from coal, 41% from gas, 3% from hydro and 8% from RE, 2) environmental case is 19% from coal, 58% from gas, 11% from hydro and 12% from RE, 3) for reliability case is 64% from coal, 32% from gas, 3% from hydro and 1% from RE and 4) multi-objective case is 49% from coal, 41% from gas, 7% from hydro and 3% from RE. The findings of this paper are the optimum generation mix for Malaysia from 2013 to 2030 which is less expensive, substantially reduce carbon emission and that less risky.  

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2329 DO - 10.18517/ijaseit.7.4.2329