Optimizing the role of new renewable energy (including nuclear power plant) on the expansion planning of power generation in West Kalimantan
A study has been done on optimizing the role of new renewable energy (including nuclear power plants) on the expansion planning of power generation in West Kalimantan, within the study period of 2021-2050. This study uses the supply optimization modeling of Balmorel from Denmark with the least cost...
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 1 |
| container_start_page | |
| container_title | |
| container_volume | 2630 |
| creator | Pramudya Cendrawati, Dian Galuh Kuncoro, Arief Heru Suparman Amitayani, Elok Satiti Slamet Imani, Lazuwardi |
| description | A study has been done on optimizing the role of new renewable energy (including nuclear power plants) on the expansion planning of power generation in West Kalimantan, within the study period of 2021-2050. This study uses the supply optimization modeling of Balmorel from Denmark with the least cost principle. Balmorel is a partial equilibrium model that finds the least-cost economical dispatch and capacity expansion solution for the represented energy system. In this study, six scenarios were created for optimization. Scenario-1 (BaU) is optimization using the demand for Business as Usual, and Scenario-2 (BaU_X) is similar optimization as Scenario-1 by taking into account the externality (CO2, SO2, NOx, and PM2,5 emissions). Scenario-3 (Industrialization) is optimization using the demand for development industries, and Scenario-4 (Industrialization_X) is similar optimization as Scenario-3 by considering the externality. Meanwhile, Scenario-5 (Prosperity) is optimization using demand by taking into account the electricity consumption targets per capita in National Energy Policy (Kebijakan Energi Nasional, KEN), and Scenario-6 (Prosperity_X) is similar optimization as Scenario-5 by taking into account the externality. This study uses the variable plant candidates for optimization simulation, namely Solar Photovoltaic Power Plant (PLTS), Gas Engine Power Plant (PLTMG), Combined Cycle Gas Turbine Power Plant (PLTGU), Gas Turbine Power Plant (PLTG), Biomass Power Plant (PLTBm), Biogas Power Plant (PLTBg), Hydro Electric Power Plant (PLTA), Mini Hydro Power Plant (PLTM), Coal Fired Power Plant Sub-Critical (PLTU-SubC), Coal Fired Power Plant Sub-Critical using Flue Gas Desulfurization/FGD (PLTU-SubC-FGD), Nuclear Power Plant (PLTN), Wind Turbine Power Plant (PLTB), and Battery Energy Storage System (BESS). The optimization result of Scenario-1 (BaU) has the optimizing the role of new renewable energy on the expansion planning of power generation in West Kalimantan, with the cumulative configuration projection of capacity plants at the end of the study (2050) as follows: PLTS (1,219 MW), PLTMG (25 MW), PLTGU (150 MW), PLTG (60 MW), PLTBm (145 MW), PLTBg (15 MW), PLTA (20 MW), PLTM (3 MW), PLTU-SubC (250 MW), and BESS (184 MW), with import electricity from the Kalimantan Interconnection System (by the PLTA source) is about 1,152 MW, the projection of the committed plant capacity is 200 MW, the existing plant capacity is 10 MW, and the peak load (BP) is about 2,084 |
| doi_str_mv | 10.1063/5.0126502 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_proquest_journals_2805638334</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2805638334</sourcerecordid><originalsourceid>FETCH-LOGICAL-p168t-1f676026a8aebd52842d68ae13a83d72358c0db51fe81e7a9a272230684fe0d63</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EEqWw4A8ssQGkFD_iR5cI8RKVugHBznJjp7hK7eAklPINfDROW4kdm5nxzJnrqwHgFKMRRpxesRHChDNE9sAAM4YzwTHfBwOExnlGcvp2CI6aZoEQGQshB-BnWrdu6b6dn8P23cIYKgtDCb1dwWhT1LPUSEWcr-G580XVmZ71XVFZHWEdVjbFSvv2Aga_0bBftfaNS6--73s8KW7JeS-l237oPHy1TQufdOWWaV_7Y3BQ6qqxJ7s8BC93t883D9lkev94cz3Jasxlm-GSC44I11LbmWFE5sTwVGOqJTWCUCYLZGYMl1ZiK_RYE0EIRVzmpUWG0yE42-rWMXx0yYNahC769KUiEjFOJaV5oi63VFO4dmNZ1TE5jWuFkeqvrZjaXfs_-DPEP1DVpqS_XPaCEg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2805638334</pqid></control><display><type>conference_proceeding</type><title>Optimizing the role of new renewable energy (including nuclear power plant) on the expansion planning of power generation in West Kalimantan</title><source>AIP Journals Complete</source><creator>Pramudya ; Cendrawati, Dian Galuh ; Kuncoro, Arief Heru ; Suparman ; Amitayani, Elok Satiti ; Slamet ; Imani, Lazuwardi</creator><contributor>Amaliyah, Novriany ; Sakka, Asriadi ; Hayat, Azwar ; Arma, Lukmanul Hakim</contributor><creatorcontrib>Pramudya ; Cendrawati, Dian Galuh ; Kuncoro, Arief Heru ; Suparman ; Amitayani, Elok Satiti ; Slamet ; Imani, Lazuwardi ; Amaliyah, Novriany ; Sakka, Asriadi ; Hayat, Azwar ; Arma, Lukmanul Hakim</creatorcontrib><description>A study has been done on optimizing the role of new renewable energy (including nuclear power plants) on the expansion planning of power generation in West Kalimantan, within the study period of 2021-2050. This study uses the supply optimization modeling of Balmorel from Denmark with the least cost principle. Balmorel is a partial equilibrium model that finds the least-cost economical dispatch and capacity expansion solution for the represented energy system. In this study, six scenarios were created for optimization. Scenario-1 (BaU) is optimization using the demand for Business as Usual, and Scenario-2 (BaU_X) is similar optimization as Scenario-1 by taking into account the externality (CO2, SO2, NOx, and PM2,5 emissions). Scenario-3 (Industrialization) is optimization using the demand for development industries, and Scenario-4 (Industrialization_X) is similar optimization as Scenario-3 by considering the externality. Meanwhile, Scenario-5 (Prosperity) is optimization using demand by taking into account the electricity consumption targets per capita in National Energy Policy (Kebijakan Energi Nasional, KEN), and Scenario-6 (Prosperity_X) is similar optimization as Scenario-5 by taking into account the externality. This study uses the variable plant candidates for optimization simulation, namely Solar Photovoltaic Power Plant (PLTS), Gas Engine Power Plant (PLTMG), Combined Cycle Gas Turbine Power Plant (PLTGU), Gas Turbine Power Plant (PLTG), Biomass Power Plant (PLTBm), Biogas Power Plant (PLTBg), Hydro Electric Power Plant (PLTA), Mini Hydro Power Plant (PLTM), Coal Fired Power Plant Sub-Critical (PLTU-SubC), Coal Fired Power Plant Sub-Critical using Flue Gas Desulfurization/FGD (PLTU-SubC-FGD), Nuclear Power Plant (PLTN), Wind Turbine Power Plant (PLTB), and Battery Energy Storage System (BESS). The optimization result of Scenario-1 (BaU) has the optimizing the role of new renewable energy on the expansion planning of power generation in West Kalimantan, with the cumulative configuration projection of capacity plants at the end of the study (2050) as follows: PLTS (1,219 MW), PLTMG (25 MW), PLTGU (150 MW), PLTG (60 MW), PLTBm (145 MW), PLTBg (15 MW), PLTA (20 MW), PLTM (3 MW), PLTU-SubC (250 MW), and BESS (184 MW), with import electricity from the Kalimantan Interconnection System (by the PLTA source) is about 1,152 MW, the projection of the committed plant capacity is 200 MW, the existing plant capacity is 10 MW, and the peak load (BP) is about 2,084 MW. Meanwhile, the optimization result of Scenario-6 (Prosperity_X) has the cumulative configuration projection of capacity plants at the end of the study (2050) as follows: PLTS (1,890 MW), PLTGU (300 MW), PLTG (210 MW), PLTBm (145 MW), PLTBg (15 MW), PLTA (150 MW), PLTU-SubC-FGD (250 MW), PLTN (1,800 MW), and BESS (368 MW), with import electricity from the Kalimantan Interconnection System (by the PLTA source) is about 1,172 MW, the projection of the committed plant capacity is 200 MW, the existing plant capacity is 10 MW, and the peak load (BP) is about 4,185 MW.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0126502</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Alternative energy sources ; Biogas ; Carbon dioxide ; Coal-fired power plants ; Combined cycle engines ; Combined cycle power generation ; Configurations ; Demand ; Electrical loads ; Electricity ; Electricity consumption ; Electricity distribution ; Energy policy ; Energy storage ; Flue gas ; Gas turbines ; Gas-fired power plants ; Hydroelectric plants ; Imports ; Industrial development ; Nuclear electric power generation ; Nuclear energy ; Nuclear power plants ; Optimization ; Peak load ; Prosperity ; Renewable energy ; Renewable resources ; Sulfur dioxide ; Wind turbines</subject><ispartof>AIP conference proceedings, 2023, Vol.2630 (1)</ispartof><rights>Author(s)</rights><rights>2023 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/acp/article-lookup/doi/10.1063/5.0126502$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,794,4510,23928,23929,25138,27922,27923,76154</link.rule.ids></links><search><contributor>Amaliyah, Novriany</contributor><contributor>Sakka, Asriadi</contributor><contributor>Hayat, Azwar</contributor><contributor>Arma, Lukmanul Hakim</contributor><creatorcontrib>Pramudya</creatorcontrib><creatorcontrib>Cendrawati, Dian Galuh</creatorcontrib><creatorcontrib>Kuncoro, Arief Heru</creatorcontrib><creatorcontrib>Suparman</creatorcontrib><creatorcontrib>Amitayani, Elok Satiti</creatorcontrib><creatorcontrib>Slamet</creatorcontrib><creatorcontrib>Imani, Lazuwardi</creatorcontrib><title>Optimizing the role of new renewable energy (including nuclear power plant) on the expansion planning of power generation in West Kalimantan</title><title>AIP conference proceedings</title><description>A study has been done on optimizing the role of new renewable energy (including nuclear power plants) on the expansion planning of power generation in West Kalimantan, within the study period of 2021-2050. This study uses the supply optimization modeling of Balmorel from Denmark with the least cost principle. Balmorel is a partial equilibrium model that finds the least-cost economical dispatch and capacity expansion solution for the represented energy system. In this study, six scenarios were created for optimization. Scenario-1 (BaU) is optimization using the demand for Business as Usual, and Scenario-2 (BaU_X) is similar optimization as Scenario-1 by taking into account the externality (CO2, SO2, NOx, and PM2,5 emissions). Scenario-3 (Industrialization) is optimization using the demand for development industries, and Scenario-4 (Industrialization_X) is similar optimization as Scenario-3 by considering the externality. Meanwhile, Scenario-5 (Prosperity) is optimization using demand by taking into account the electricity consumption targets per capita in National Energy Policy (Kebijakan Energi Nasional, KEN), and Scenario-6 (Prosperity_X) is similar optimization as Scenario-5 by taking into account the externality. This study uses the variable plant candidates for optimization simulation, namely Solar Photovoltaic Power Plant (PLTS), Gas Engine Power Plant (PLTMG), Combined Cycle Gas Turbine Power Plant (PLTGU), Gas Turbine Power Plant (PLTG), Biomass Power Plant (PLTBm), Biogas Power Plant (PLTBg), Hydro Electric Power Plant (PLTA), Mini Hydro Power Plant (PLTM), Coal Fired Power Plant Sub-Critical (PLTU-SubC), Coal Fired Power Plant Sub-Critical using Flue Gas Desulfurization/FGD (PLTU-SubC-FGD), Nuclear Power Plant (PLTN), Wind Turbine Power Plant (PLTB), and Battery Energy Storage System (BESS). The optimization result of Scenario-1 (BaU) has the optimizing the role of new renewable energy on the expansion planning of power generation in West Kalimantan, with the cumulative configuration projection of capacity plants at the end of the study (2050) as follows: PLTS (1,219 MW), PLTMG (25 MW), PLTGU (150 MW), PLTG (60 MW), PLTBm (145 MW), PLTBg (15 MW), PLTA (20 MW), PLTM (3 MW), PLTU-SubC (250 MW), and BESS (184 MW), with import electricity from the Kalimantan Interconnection System (by the PLTA source) is about 1,152 MW, the projection of the committed plant capacity is 200 MW, the existing plant capacity is 10 MW, and the peak load (BP) is about 2,084 MW. Meanwhile, the optimization result of Scenario-6 (Prosperity_X) has the cumulative configuration projection of capacity plants at the end of the study (2050) as follows: PLTS (1,890 MW), PLTGU (300 MW), PLTG (210 MW), PLTBm (145 MW), PLTBg (15 MW), PLTA (150 MW), PLTU-SubC-FGD (250 MW), PLTN (1,800 MW), and BESS (368 MW), with import electricity from the Kalimantan Interconnection System (by the PLTA source) is about 1,172 MW, the projection of the committed plant capacity is 200 MW, the existing plant capacity is 10 MW, and the peak load (BP) is about 4,185 MW.</description><subject>Alternative energy sources</subject><subject>Biogas</subject><subject>Carbon dioxide</subject><subject>Coal-fired power plants</subject><subject>Combined cycle engines</subject><subject>Combined cycle power generation</subject><subject>Configurations</subject><subject>Demand</subject><subject>Electrical loads</subject><subject>Electricity</subject><subject>Electricity consumption</subject><subject>Electricity distribution</subject><subject>Energy policy</subject><subject>Energy storage</subject><subject>Flue gas</subject><subject>Gas turbines</subject><subject>Gas-fired power plants</subject><subject>Hydroelectric plants</subject><subject>Imports</subject><subject>Industrial development</subject><subject>Nuclear electric power generation</subject><subject>Nuclear energy</subject><subject>Nuclear power plants</subject><subject>Optimization</subject><subject>Peak load</subject><subject>Prosperity</subject><subject>Renewable energy</subject><subject>Renewable resources</subject><subject>Sulfur dioxide</subject><subject>Wind turbines</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kMtOwzAQRS0EEqWw4A8ssQGkFD_iR5cI8RKVugHBznJjp7hK7eAklPINfDROW4kdm5nxzJnrqwHgFKMRRpxesRHChDNE9sAAM4YzwTHfBwOExnlGcvp2CI6aZoEQGQshB-BnWrdu6b6dn8P23cIYKgtDCb1dwWhT1LPUSEWcr-G580XVmZ71XVFZHWEdVjbFSvv2Aga_0bBftfaNS6--73s8KW7JeS-l237oPHy1TQufdOWWaV_7Y3BQ6qqxJ7s8BC93t883D9lkev94cz3Jasxlm-GSC44I11LbmWFE5sTwVGOqJTWCUCYLZGYMl1ZiK_RYE0EIRVzmpUWG0yE42-rWMXx0yYNahC769KUiEjFOJaV5oi63VFO4dmNZ1TE5jWuFkeqvrZjaXfs_-DPEP1DVpqS_XPaCEg</recordid><startdate>20230425</startdate><enddate>20230425</enddate><creator>Pramudya</creator><creator>Cendrawati, Dian Galuh</creator><creator>Kuncoro, Arief Heru</creator><creator>Suparman</creator><creator>Amitayani, Elok Satiti</creator><creator>Slamet</creator><creator>Imani, Lazuwardi</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20230425</creationdate><title>Optimizing the role of new renewable energy (including nuclear power plant) on the expansion planning of power generation in West Kalimantan</title><author>Pramudya ; Cendrawati, Dian Galuh ; Kuncoro, Arief Heru ; Suparman ; Amitayani, Elok Satiti ; Slamet ; Imani, Lazuwardi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p168t-1f676026a8aebd52842d68ae13a83d72358c0db51fe81e7a9a272230684fe0d63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Alternative energy sources</topic><topic>Biogas</topic><topic>Carbon dioxide</topic><topic>Coal-fired power plants</topic><topic>Combined cycle engines</topic><topic>Combined cycle power generation</topic><topic>Configurations</topic><topic>Demand</topic><topic>Electrical loads</topic><topic>Electricity</topic><topic>Electricity consumption</topic><topic>Electricity distribution</topic><topic>Energy policy</topic><topic>Energy storage</topic><topic>Flue gas</topic><topic>Gas turbines</topic><topic>Gas-fired power plants</topic><topic>Hydroelectric plants</topic><topic>Imports</topic><topic>Industrial development</topic><topic>Nuclear electric power generation</topic><topic>Nuclear energy</topic><topic>Nuclear power plants</topic><topic>Optimization</topic><topic>Peak load</topic><topic>Prosperity</topic><topic>Renewable energy</topic><topic>Renewable resources</topic><topic>Sulfur dioxide</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pramudya</creatorcontrib><creatorcontrib>Cendrawati, Dian Galuh</creatorcontrib><creatorcontrib>Kuncoro, Arief Heru</creatorcontrib><creatorcontrib>Suparman</creatorcontrib><creatorcontrib>Amitayani, Elok Satiti</creatorcontrib><creatorcontrib>Slamet</creatorcontrib><creatorcontrib>Imani, Lazuwardi</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pramudya</au><au>Cendrawati, Dian Galuh</au><au>Kuncoro, Arief Heru</au><au>Suparman</au><au>Amitayani, Elok Satiti</au><au>Slamet</au><au>Imani, Lazuwardi</au><au>Amaliyah, Novriany</au><au>Sakka, Asriadi</au><au>Hayat, Azwar</au><au>Arma, Lukmanul Hakim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimizing the role of new renewable energy (including nuclear power plant) on the expansion planning of power generation in West Kalimantan</atitle><btitle>AIP conference proceedings</btitle><date>2023-04-25</date><risdate>2023</risdate><volume>2630</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>A study has been done on optimizing the role of new renewable energy (including nuclear power plants) on the expansion planning of power generation in West Kalimantan, within the study period of 2021-2050. This study uses the supply optimization modeling of Balmorel from Denmark with the least cost principle. Balmorel is a partial equilibrium model that finds the least-cost economical dispatch and capacity expansion solution for the represented energy system. In this study, six scenarios were created for optimization. Scenario-1 (BaU) is optimization using the demand for Business as Usual, and Scenario-2 (BaU_X) is similar optimization as Scenario-1 by taking into account the externality (CO2, SO2, NOx, and PM2,5 emissions). Scenario-3 (Industrialization) is optimization using the demand for development industries, and Scenario-4 (Industrialization_X) is similar optimization as Scenario-3 by considering the externality. Meanwhile, Scenario-5 (Prosperity) is optimization using demand by taking into account the electricity consumption targets per capita in National Energy Policy (Kebijakan Energi Nasional, KEN), and Scenario-6 (Prosperity_X) is similar optimization as Scenario-5 by taking into account the externality. This study uses the variable plant candidates for optimization simulation, namely Solar Photovoltaic Power Plant (PLTS), Gas Engine Power Plant (PLTMG), Combined Cycle Gas Turbine Power Plant (PLTGU), Gas Turbine Power Plant (PLTG), Biomass Power Plant (PLTBm), Biogas Power Plant (PLTBg), Hydro Electric Power Plant (PLTA), Mini Hydro Power Plant (PLTM), Coal Fired Power Plant Sub-Critical (PLTU-SubC), Coal Fired Power Plant Sub-Critical using Flue Gas Desulfurization/FGD (PLTU-SubC-FGD), Nuclear Power Plant (PLTN), Wind Turbine Power Plant (PLTB), and Battery Energy Storage System (BESS). The optimization result of Scenario-1 (BaU) has the optimizing the role of new renewable energy on the expansion planning of power generation in West Kalimantan, with the cumulative configuration projection of capacity plants at the end of the study (2050) as follows: PLTS (1,219 MW), PLTMG (25 MW), PLTGU (150 MW), PLTG (60 MW), PLTBm (145 MW), PLTBg (15 MW), PLTA (20 MW), PLTM (3 MW), PLTU-SubC (250 MW), and BESS (184 MW), with import electricity from the Kalimantan Interconnection System (by the PLTA source) is about 1,152 MW, the projection of the committed plant capacity is 200 MW, the existing plant capacity is 10 MW, and the peak load (BP) is about 2,084 MW. Meanwhile, the optimization result of Scenario-6 (Prosperity_X) has the cumulative configuration projection of capacity plants at the end of the study (2050) as follows: PLTS (1,890 MW), PLTGU (300 MW), PLTG (210 MW), PLTBm (145 MW), PLTBg (15 MW), PLTA (150 MW), PLTU-SubC-FGD (250 MW), PLTN (1,800 MW), and BESS (368 MW), with import electricity from the Kalimantan Interconnection System (by the PLTA source) is about 1,172 MW, the projection of the committed plant capacity is 200 MW, the existing plant capacity is 10 MW, and the peak load (BP) is about 4,185 MW.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0126502</doi><tpages>14</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2023, Vol.2630 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_proquest_journals_2805638334 |
| source | AIP Journals Complete |
| subjects | Alternative energy sources Biogas Carbon dioxide Coal-fired power plants Combined cycle engines Combined cycle power generation Configurations Demand Electrical loads Electricity Electricity consumption Electricity distribution Energy policy Energy storage Flue gas Gas turbines Gas-fired power plants Hydroelectric plants Imports Industrial development Nuclear electric power generation Nuclear energy Nuclear power plants Optimization Peak load Prosperity Renewable energy Renewable resources Sulfur dioxide Wind turbines |
| title | Optimizing the role of new renewable energy (including nuclear power plant) on the expansion planning of power generation in West Kalimantan |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T14%3A49%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Optimizing%20the%20role%20of%20new%20renewable%20energy%20(including%20nuclear%20power%20plant)%20on%20the%20expansion%20planning%20of%20power%20generation%20in%20West%20Kalimantan&rft.btitle=AIP%20conference%20proceedings&rft.au=Pramudya&rft.date=2023-04-25&rft.volume=2630&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/5.0126502&rft_dat=%3Cproquest_scita%3E2805638334%3C/proquest_scita%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2805638334&rft_id=info:pmid/&rfr_iscdi=true |