Optimization of University Campus Microgrid for Cost Reduction: A Case Study
This paper presents an optimization model to minimize the fuel cost and CO2 emision on university campuses using an hybrid power system (HPS). The HPS is made up of solar photovoltaic (PV), diesel generator (DG), wind turbine (WT) and battery energy storage system (BESS). Two university campuses are...
Gespeichert in:
Veröffentlicht in: | Advanced engineering forum 2022-04, Vol.45, p.77-96 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 96 |
---|---|
container_issue | |
container_start_page | 77 |
container_title | Advanced engineering forum |
container_volume | 45 |
creator | Tiako, Remy Akindeji, Kayode Timothy Davidson, Innocent |
description | This paper presents an optimization model to minimize the fuel cost and CO2 emision on university campuses using an hybrid power system (HPS). The HPS is made up of solar photovoltaic (PV), diesel generator (DG), wind turbine (WT) and battery energy storage system (BESS). Two university campuses are used as case study to investigate the efficiency of the proposed HPS. The objective function is formulated such that each campus load is met by the renewable energy source (RES) when available and the DG only swicthes on when the output of the RES is not eneough to meet the load. The resulting non linear optimization problem is solved using a function in MATLAB called “quadprog”. The results of the simulation are analyzed and compared with the base case in which the DG is used exclusively to meet the entire load. The results show the effectiveness of the optimized HPS in saving fuel when compared to the base case and reflect the effects of seasonal variations in fuel costs. |
doi_str_mv | 10.4028/p-13gc8e |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3091664969</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3091664969</sourcerecordid><originalsourceid>FETCH-LOGICAL-c135e-ca2cae40dea6431780d59e8e6b5b6d7867ed132f68e330568343e3d158e517593</originalsourceid><addsrcrecordid>eNpl0N9LwzAQB_AgCo458E8I-CJCNWmaNPVtFH_BZKAOfCtZcp0ZrqlJKtS_3o4qPvh09_C57x2H0CkllxlJ5VWbULbREg7QJE1ZlhQFfT387WUhj9EshC0hJKVUMkEmaLFso93ZLxWta7Cr8aqxn-CDjT0u1a7tAn602ruNtwbXzuPShYifwHR6P3GN5wMLgJ9jZ_oTdFSr9wCznzpFq9ubl_I-WSzvHsr5ItGUcUi0SrWCjBhQImM0l8TwAiSINV8Lk0uRg6EsrYUExggXkmUMmKFcAqc5L9gUnY25rXcfHYRYbV3nm2FlxUhBhcgKsVfnoxrOD8FDXbXe7pTvK0qq_buqthrfNdCLkUavmhBBv_0l_sPfgSVqpQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3091664969</pqid></control><display><type>article</type><title>Optimization of University Campus Microgrid for Cost Reduction: A Case Study</title><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><source>Scientific.net Journals</source><creator>Tiako, Remy ; Akindeji, Kayode Timothy ; Davidson, Innocent</creator><creatorcontrib>Tiako, Remy ; Akindeji, Kayode Timothy ; Davidson, Innocent</creatorcontrib><description>This paper presents an optimization model to minimize the fuel cost and CO2 emision on university campuses using an hybrid power system (HPS). The HPS is made up of solar photovoltaic (PV), diesel generator (DG), wind turbine (WT) and battery energy storage system (BESS). Two university campuses are used as case study to investigate the efficiency of the proposed HPS. The objective function is formulated such that each campus load is met by the renewable energy source (RES) when available and the DG only swicthes on when the output of the RES is not eneough to meet the load. The resulting non linear optimization problem is solved using a function in MATLAB called “quadprog”. The results of the simulation are analyzed and compared with the base case in which the DG is used exclusively to meet the entire load. The results show the effectiveness of the optimized HPS in saving fuel when compared to the base case and reflect the effects of seasonal variations in fuel costs.</description><identifier>ISSN: 2234-9898</identifier><identifier>ISSN: 2234-991X</identifier><identifier>EISSN: 2234-991X</identifier><identifier>DOI: 10.4028/p-13gc8e</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><subject>Case studies ; Cost analysis ; Diesel fuels ; Diesel generators ; Distributed generation ; Electrical loads ; Hybrid systems ; Optimization ; Optimization models ; Photovoltaic cells ; Renewable energy sources ; Seasonal variations ; Wind turbines</subject><ispartof>Advanced engineering forum, 2022-04, Vol.45, p.77-96</ispartof><rights>2022 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c135e-ca2cae40dea6431780d59e8e6b5b6d7867ed132f68e330568343e3d158e517593</citedby><cites>FETCH-LOGICAL-c135e-ca2cae40dea6431780d59e8e6b5b6d7867ed132f68e330568343e3d158e517593</cites><orcidid>0000-0002-2336-4136</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/6498?width=600</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Tiako, Remy</creatorcontrib><creatorcontrib>Akindeji, Kayode Timothy</creatorcontrib><creatorcontrib>Davidson, Innocent</creatorcontrib><title>Optimization of University Campus Microgrid for Cost Reduction: A Case Study</title><title>Advanced engineering forum</title><description>This paper presents an optimization model to minimize the fuel cost and CO2 emision on university campuses using an hybrid power system (HPS). The HPS is made up of solar photovoltaic (PV), diesel generator (DG), wind turbine (WT) and battery energy storage system (BESS). Two university campuses are used as case study to investigate the efficiency of the proposed HPS. The objective function is formulated such that each campus load is met by the renewable energy source (RES) when available and the DG only swicthes on when the output of the RES is not eneough to meet the load. The resulting non linear optimization problem is solved using a function in MATLAB called “quadprog”. The results of the simulation are analyzed and compared with the base case in which the DG is used exclusively to meet the entire load. The results show the effectiveness of the optimized HPS in saving fuel when compared to the base case and reflect the effects of seasonal variations in fuel costs.</description><subject>Case studies</subject><subject>Cost analysis</subject><subject>Diesel fuels</subject><subject>Diesel generators</subject><subject>Distributed generation</subject><subject>Electrical loads</subject><subject>Hybrid systems</subject><subject>Optimization</subject><subject>Optimization models</subject><subject>Photovoltaic cells</subject><subject>Renewable energy sources</subject><subject>Seasonal variations</subject><subject>Wind turbines</subject><issn>2234-9898</issn><issn>2234-991X</issn><issn>2234-991X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpl0N9LwzAQB_AgCo458E8I-CJCNWmaNPVtFH_BZKAOfCtZcp0ZrqlJKtS_3o4qPvh09_C57x2H0CkllxlJ5VWbULbREg7QJE1ZlhQFfT387WUhj9EshC0hJKVUMkEmaLFso93ZLxWta7Cr8aqxn-CDjT0u1a7tAn602ruNtwbXzuPShYifwHR6P3GN5wMLgJ9jZ_oTdFSr9wCznzpFq9ubl_I-WSzvHsr5ItGUcUi0SrWCjBhQImM0l8TwAiSINV8Lk0uRg6EsrYUExggXkmUMmKFcAqc5L9gUnY25rXcfHYRYbV3nm2FlxUhBhcgKsVfnoxrOD8FDXbXe7pTvK0qq_buqthrfNdCLkUavmhBBv_0l_sPfgSVqpQ</recordid><startdate>20220404</startdate><enddate>20220404</enddate><creator>Tiako, Remy</creator><creator>Akindeji, Kayode Timothy</creator><creator>Davidson, Innocent</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><orcidid>https://orcid.org/0000-0002-2336-4136</orcidid></search><sort><creationdate>20220404</creationdate><title>Optimization of University Campus Microgrid for Cost Reduction: A Case Study</title><author>Tiako, Remy ; Akindeji, Kayode Timothy ; Davidson, Innocent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c135e-ca2cae40dea6431780d59e8e6b5b6d7867ed132f68e330568343e3d158e517593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Case studies</topic><topic>Cost analysis</topic><topic>Diesel fuels</topic><topic>Diesel generators</topic><topic>Distributed generation</topic><topic>Electrical loads</topic><topic>Hybrid systems</topic><topic>Optimization</topic><topic>Optimization models</topic><topic>Photovoltaic cells</topic><topic>Renewable energy sources</topic><topic>Seasonal variations</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tiako, Remy</creatorcontrib><creatorcontrib>Akindeji, Kayode Timothy</creatorcontrib><creatorcontrib>Davidson, Innocent</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Advanced engineering forum</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tiako, Remy</au><au>Akindeji, Kayode Timothy</au><au>Davidson, Innocent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of University Campus Microgrid for Cost Reduction: A Case Study</atitle><jtitle>Advanced engineering forum</jtitle><date>2022-04-04</date><risdate>2022</risdate><volume>45</volume><spage>77</spage><epage>96</epage><pages>77-96</pages><issn>2234-9898</issn><issn>2234-991X</issn><eissn>2234-991X</eissn><abstract>This paper presents an optimization model to minimize the fuel cost and CO2 emision on university campuses using an hybrid power system (HPS). The HPS is made up of solar photovoltaic (PV), diesel generator (DG), wind turbine (WT) and battery energy storage system (BESS). Two university campuses are used as case study to investigate the efficiency of the proposed HPS. The objective function is formulated such that each campus load is met by the renewable energy source (RES) when available and the DG only swicthes on when the output of the RES is not eneough to meet the load. The resulting non linear optimization problem is solved using a function in MATLAB called “quadprog”. The results of the simulation are analyzed and compared with the base case in which the DG is used exclusively to meet the entire load. The results show the effectiveness of the optimized HPS in saving fuel when compared to the base case and reflect the effects of seasonal variations in fuel costs.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/p-13gc8e</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-2336-4136</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2234-9898 |
ispartof | Advanced engineering forum, 2022-04, Vol.45, p.77-96 |
issn | 2234-9898 2234-991X 2234-991X |
language | eng |
recordid | cdi_proquest_journals_3091664969 |
source | EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection; Scientific.net Journals |
subjects | Case studies Cost analysis Diesel fuels Diesel generators Distributed generation Electrical loads Hybrid systems Optimization Optimization models Photovoltaic cells Renewable energy sources Seasonal variations Wind turbines |
title | Optimization of University Campus Microgrid for Cost Reduction: A Case Study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T16%3A56%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Optimization%20of%20University%20Campus%20Microgrid%20for%20Cost%20Reduction:%20A%20Case%20Study&rft.jtitle=Advanced%20engineering%20forum&rft.au=Tiako,%20Remy&rft.date=2022-04-04&rft.volume=45&rft.spage=77&rft.epage=96&rft.pages=77-96&rft.issn=2234-9898&rft.eissn=2234-991X&rft_id=info:doi/10.4028/p-13gc8e&rft_dat=%3Cproquest_cross%3E3091664969%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3091664969&rft_id=info:pmid/&rfr_iscdi=true |