Development of a Combined Heat and Power sizing model for higher education buildings in the United Kingdom
The four Higher Education Funding Councils in the United Kingdom want all universities to reduce CO2 emissions by 34% by 2020 compared to a 2005 base. Universities that have installed Combined Heat and Power (CHP) technology are making good moves towards achieving their CO2 reduction target. For a C...
Gespeichert in:
Veröffentlicht in: | Energy and buildings 2018-08, Vol.172, p.537-553 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 553 |
---|---|
container_issue | |
container_start_page | 537 |
container_title | Energy and buildings |
container_volume | 172 |
creator | Amber, K.P. Dunn, A. Parkin, J. Day, A.R. |
description | The four Higher Education Funding Councils in the United Kingdom want all universities to reduce CO2 emissions by 34% by 2020 compared to a 2005 base. Universities that have installed Combined Heat and Power (CHP) technology are making good moves towards achieving their CO2 reduction target. For a CHP project to be successful, a detailed technical, economic and environmental assessment is required. Generally, this assessment is carried out using a computer-based model. Currently, available CHP models have limitations in terms of flexibility, accuracy, reliability and complexity and their use could result in an undersized or oversized CHP scheme that could lead to a complete failure of the project. Therefore, there is an urgent need for a robust and user-friendly model, which integrates multiple features that are missing in the currently available models.
This paper presents the development of a spreadsheet based CHP sizing model for a single or multiple university buildings. The major strengths of the model are its simplicity, flexibility of data entry, selection of multiple electrical and thermal demands, an in-built real database for a range of CHP sizes, multiple control strategies, multiple investment routes and their life cycle cash flow analysis, and the potential for detailed sensitivity analysis of payback period using the Monto Carlo Simulation technique. The model, which we call the London South Bank University (LSBU) CHP model, has been tested with three other CHP models for different control modes for the same building and the comparisons are discussed. |
doi_str_mv | 10.1016/j.enbuild.2018.02.027 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2374190511</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0378778817313166</els_id><sourcerecordid>2374190511</sourcerecordid><originalsourceid>FETCH-LOGICAL-c395t-2459060090d23f9ffd53d3b96d4a4eb83ec82b171832a58edb3edd9181655edf3</originalsourceid><addsrcrecordid>eNqFUE1LAzEUDKJgrf4EIeB5az6aTfYkUj8qFvRgz2F387bN0k1qslvRX29qexcGHgwz894bhK4pmVBC89t2Aq4a7MZMGKFqQliCPEEjqiTLcirVKRoRLlUmpVLn6CLGlhCSC0lHqH2AHWz8tgPXY9_gEs98V1kHBs-h7HHpDH73XxBwtD_WrXDnDWxw4wNe29U68WCGuuytd_jvhqSJ2DrcrwEvne1T0GvijO8u0VlTbiJcHecYLZ8eP2bzbPH2_DK7X2Q1L0SfsakoSE5IQQzjTdE0RnDDqyI303IKleJQK1ZRSRVnpVBgKg7GFFTRXAgwDR-jm0PuNvjPAWKvWz8El1ZqxuWUFkRQmlTioKqDjzFAo7fBdmX41pTofa261cda9b5WTViCTL67gw_SCzsLQcfagqvB2AB1r423_yT8As2qg94</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2374190511</pqid></control><display><type>article</type><title>Development of a Combined Heat and Power sizing model for higher education buildings in the United Kingdom</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Amber, K.P. ; Dunn, A. ; Parkin, J. ; Day, A.R.</creator><creatorcontrib>Amber, K.P. ; Dunn, A. ; Parkin, J. ; Day, A.R.</creatorcontrib><description>The four Higher Education Funding Councils in the United Kingdom want all universities to reduce CO2 emissions by 34% by 2020 compared to a 2005 base. Universities that have installed Combined Heat and Power (CHP) technology are making good moves towards achieving their CO2 reduction target. For a CHP project to be successful, a detailed technical, economic and environmental assessment is required. Generally, this assessment is carried out using a computer-based model. Currently, available CHP models have limitations in terms of flexibility, accuracy, reliability and complexity and their use could result in an undersized or oversized CHP scheme that could lead to a complete failure of the project. Therefore, there is an urgent need for a robust and user-friendly model, which integrates multiple features that are missing in the currently available models.
This paper presents the development of a spreadsheet based CHP sizing model for a single or multiple university buildings. The major strengths of the model are its simplicity, flexibility of data entry, selection of multiple electrical and thermal demands, an in-built real database for a range of CHP sizes, multiple control strategies, multiple investment routes and their life cycle cash flow analysis, and the potential for detailed sensitivity analysis of payback period using the Monto Carlo Simulation technique. The model, which we call the London South Bank University (LSBU) CHP model, has been tested with three other CHP models for different control modes for the same building and the comparisons are discussed.</description><identifier>ISSN: 0378-7788</identifier><identifier>EISSN: 1872-6178</identifier><identifier>DOI: 10.1016/j.enbuild.2018.02.027</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>Building energy modelling ; Buildings ; Carbon dioxide ; Carbon dioxide emissions ; CHP ; CO2 emissions ; Cogeneration ; Colleges & universities ; Combined Heat and Power ; Computer simulation ; Councils ; Education ; Environmental assessment ; Flexibility ; Higher education ; Life cycle analysis ; Life cycles ; Model testing ; Payback periods ; Sensitivity analysis ; Sizing ; Spreadsheets ; University estate</subject><ispartof>Energy and buildings, 2018-08, Vol.172, p.537-553</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright Elsevier BV Aug 1, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-2459060090d23f9ffd53d3b96d4a4eb83ec82b171832a58edb3edd9181655edf3</citedby><cites>FETCH-LOGICAL-c395t-2459060090d23f9ffd53d3b96d4a4eb83ec82b171832a58edb3edd9181655edf3</cites><orcidid>0000-0002-6084-4569</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enbuild.2018.02.027$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Amber, K.P.</creatorcontrib><creatorcontrib>Dunn, A.</creatorcontrib><creatorcontrib>Parkin, J.</creatorcontrib><creatorcontrib>Day, A.R.</creatorcontrib><title>Development of a Combined Heat and Power sizing model for higher education buildings in the United Kingdom</title><title>Energy and buildings</title><description>The four Higher Education Funding Councils in the United Kingdom want all universities to reduce CO2 emissions by 34% by 2020 compared to a 2005 base. Universities that have installed Combined Heat and Power (CHP) technology are making good moves towards achieving their CO2 reduction target. For a CHP project to be successful, a detailed technical, economic and environmental assessment is required. Generally, this assessment is carried out using a computer-based model. Currently, available CHP models have limitations in terms of flexibility, accuracy, reliability and complexity and their use could result in an undersized or oversized CHP scheme that could lead to a complete failure of the project. Therefore, there is an urgent need for a robust and user-friendly model, which integrates multiple features that are missing in the currently available models.
This paper presents the development of a spreadsheet based CHP sizing model for a single or multiple university buildings. The major strengths of the model are its simplicity, flexibility of data entry, selection of multiple electrical and thermal demands, an in-built real database for a range of CHP sizes, multiple control strategies, multiple investment routes and their life cycle cash flow analysis, and the potential for detailed sensitivity analysis of payback period using the Monto Carlo Simulation technique. The model, which we call the London South Bank University (LSBU) CHP model, has been tested with three other CHP models for different control modes for the same building and the comparisons are discussed.</description><subject>Building energy modelling</subject><subject>Buildings</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide emissions</subject><subject>CHP</subject><subject>CO2 emissions</subject><subject>Cogeneration</subject><subject>Colleges & universities</subject><subject>Combined Heat and Power</subject><subject>Computer simulation</subject><subject>Councils</subject><subject>Education</subject><subject>Environmental assessment</subject><subject>Flexibility</subject><subject>Higher education</subject><subject>Life cycle analysis</subject><subject>Life cycles</subject><subject>Model testing</subject><subject>Payback periods</subject><subject>Sensitivity analysis</subject><subject>Sizing</subject><subject>Spreadsheets</subject><subject>University estate</subject><issn>0378-7788</issn><issn>1872-6178</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFUE1LAzEUDKJgrf4EIeB5az6aTfYkUj8qFvRgz2F387bN0k1qslvRX29qexcGHgwz894bhK4pmVBC89t2Aq4a7MZMGKFqQliCPEEjqiTLcirVKRoRLlUmpVLn6CLGlhCSC0lHqH2AHWz8tgPXY9_gEs98V1kHBs-h7HHpDH73XxBwtD_WrXDnDWxw4wNe29U68WCGuuytd_jvhqSJ2DrcrwEvne1T0GvijO8u0VlTbiJcHecYLZ8eP2bzbPH2_DK7X2Q1L0SfsakoSE5IQQzjTdE0RnDDqyI303IKleJQK1ZRSRVnpVBgKg7GFFTRXAgwDR-jm0PuNvjPAWKvWz8El1ZqxuWUFkRQmlTioKqDjzFAo7fBdmX41pTofa261cda9b5WTViCTL67gw_SCzsLQcfagqvB2AB1r423_yT8As2qg94</recordid><startdate>20180801</startdate><enddate>20180801</enddate><creator>Amber, K.P.</creator><creator>Dunn, A.</creator><creator>Parkin, J.</creator><creator>Day, A.R.</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-6084-4569</orcidid></search><sort><creationdate>20180801</creationdate><title>Development of a Combined Heat and Power sizing model for higher education buildings in the United Kingdom</title><author>Amber, K.P. ; Dunn, A. ; Parkin, J. ; Day, A.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-2459060090d23f9ffd53d3b96d4a4eb83ec82b171832a58edb3edd9181655edf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Building energy modelling</topic><topic>Buildings</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide emissions</topic><topic>CHP</topic><topic>CO2 emissions</topic><topic>Cogeneration</topic><topic>Colleges & universities</topic><topic>Combined Heat and Power</topic><topic>Computer simulation</topic><topic>Councils</topic><topic>Education</topic><topic>Environmental assessment</topic><topic>Flexibility</topic><topic>Higher education</topic><topic>Life cycle analysis</topic><topic>Life cycles</topic><topic>Model testing</topic><topic>Payback periods</topic><topic>Sensitivity analysis</topic><topic>Sizing</topic><topic>Spreadsheets</topic><topic>University estate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amber, K.P.</creatorcontrib><creatorcontrib>Dunn, A.</creatorcontrib><creatorcontrib>Parkin, J.</creatorcontrib><creatorcontrib>Day, A.R.</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Energy and buildings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amber, K.P.</au><au>Dunn, A.</au><au>Parkin, J.</au><au>Day, A.R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a Combined Heat and Power sizing model for higher education buildings in the United Kingdom</atitle><jtitle>Energy and buildings</jtitle><date>2018-08-01</date><risdate>2018</risdate><volume>172</volume><spage>537</spage><epage>553</epage><pages>537-553</pages><issn>0378-7788</issn><eissn>1872-6178</eissn><abstract>The four Higher Education Funding Councils in the United Kingdom want all universities to reduce CO2 emissions by 34% by 2020 compared to a 2005 base. Universities that have installed Combined Heat and Power (CHP) technology are making good moves towards achieving their CO2 reduction target. For a CHP project to be successful, a detailed technical, economic and environmental assessment is required. Generally, this assessment is carried out using a computer-based model. Currently, available CHP models have limitations in terms of flexibility, accuracy, reliability and complexity and their use could result in an undersized or oversized CHP scheme that could lead to a complete failure of the project. Therefore, there is an urgent need for a robust and user-friendly model, which integrates multiple features that are missing in the currently available models.
This paper presents the development of a spreadsheet based CHP sizing model for a single or multiple university buildings. The major strengths of the model are its simplicity, flexibility of data entry, selection of multiple electrical and thermal demands, an in-built real database for a range of CHP sizes, multiple control strategies, multiple investment routes and their life cycle cash flow analysis, and the potential for detailed sensitivity analysis of payback period using the Monto Carlo Simulation technique. The model, which we call the London South Bank University (LSBU) CHP model, has been tested with three other CHP models for different control modes for the same building and the comparisons are discussed.</abstract><cop>Lausanne</cop><pub>Elsevier B.V</pub><doi>10.1016/j.enbuild.2018.02.027</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-6084-4569</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0378-7788 |
ispartof | Energy and buildings, 2018-08, Vol.172, p.537-553 |
issn | 0378-7788 1872-6178 |
language | eng |
recordid | cdi_proquest_journals_2374190511 |
source | Elsevier ScienceDirect Journals Complete |
subjects | Building energy modelling Buildings Carbon dioxide Carbon dioxide emissions CHP CO2 emissions Cogeneration Colleges & universities Combined Heat and Power Computer simulation Councils Education Environmental assessment Flexibility Higher education Life cycle analysis Life cycles Model testing Payback periods Sensitivity analysis Sizing Spreadsheets University estate |
title | Development of a Combined Heat and Power sizing model for higher education buildings in the United Kingdom |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T12%3A53%3A41IST&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=Development%20of%20a%20Combined%20Heat%20and%20Power%20sizing%20model%20for%20higher%20education%20buildings%20in%20the%20United%20Kingdom&rft.jtitle=Energy%20and%20buildings&rft.au=Amber,%20K.P.&rft.date=2018-08-01&rft.volume=172&rft.spage=537&rft.epage=553&rft.pages=537-553&rft.issn=0378-7788&rft.eissn=1872-6178&rft_id=info:doi/10.1016/j.enbuild.2018.02.027&rft_dat=%3Cproquest_cross%3E2374190511%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=2374190511&rft_id=info:pmid/&rft_els_id=S0378778817313166&rfr_iscdi=true |