A theoretical refrigerant charge prediction equation for air source heat pump system based on sensor information
•A new prediction method of refrigerant charge amount in the air source heat pump system is proposed.•Theoretical analysis of the refrigerant charge in the system is performed.•Charge prediction method requires only few experimental data and installed sensors.•The accuracy of the method is verified...
Gespeichert in:
Veröffentlicht in: | International journal of refrigeration 2019-08, Vol.104, p.335-343 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 343 |
---|---|
container_issue | |
container_start_page | 335 |
container_title | International journal of refrigeration |
container_volume | 104 |
creator | Hong, Sung Bin Yoo, Jin Woo Kim, Min Soo |
description | •A new prediction method of refrigerant charge amount in the air source heat pump system is proposed.•Theoretical analysis of the refrigerant charge in the system is performed.•Charge prediction method requires only few experimental data and installed sensors.•The accuracy of the method is verified by both cooling and heating mode experiments.
The performance of the heat pump system varies greatly depending on the refrigerant charge amount. However, the refrigerant in the system slowly leaks during operation. Therefore, in order to guarantee system performance and life span, it is important to predict the charge amount in real time and recharge the shortage. Nevertheless, since the configuration and control of the heat pump system becomes more complicated, it is very difficult to predict the refrigerant charge amount. Various previous studies have been carried out to predict refrigerant charge amount, but most of them are empirical methods or theoretical, but require much experimental data for high accuracy. In this paper, a refrigerant charge amount prediction method which requires only a few experimental data for high prediction accuracy is proposed through theoretical analysis of the refrigerant charge. The proposed method was verified by experiments, and the root mean square error was 3.7% in cooling mode and 8.2% in heating mode. |
doi_str_mv | 10.1016/j.ijrefrig.2019.05.031 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2299132034</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0140700719302300</els_id><sourcerecordid>2299132034</sourcerecordid><originalsourceid>FETCH-LOGICAL-c340t-484ea5489ba83c0af152d80e2fcc6f53a0faf3f22d001c76240ffa65486add8f3</originalsourceid><addsrcrecordid>eNqFkEtPAyEUhYnRxFr9C4bE9YwXmOfOpvGVNHGja0KZS8uk8yhQk_57aUfXrmBxvgPnI-SeQcqAFY9taluHxtlNyoHVKeQpCHZBZqwq64RDxS7JDFgGSQlQXpMb71sAVkJezci4oGGLg8NgtdrRqQed6gPVW-U2SEeHjdXBDj3F_UGdL2ZwVFlH_XBwGukWVaDjoRupP_qAHV0rjw2NQY-9j1nbR6I7s7fkyqidx7vfc06-Xp4_l2_J6uP1fblYJVpkEJKsylDlWVWvVSU0KMNy3lSA3GhdmFwoMMoIw3kTp-iy4BkYo4pIFKppKiPm5GHqHd2wP6APso2f7eOTkvO6ZoKDyGKqmFLaDd7H9XJ0tlPuKBnIk13Zyj-78mRXQi6j3Qg-TSDGDd8WnfTaYq-jK4c6yGaw_1X8AGlhiUc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2299132034</pqid></control><display><type>article</type><title>A theoretical refrigerant charge prediction equation for air source heat pump system based on sensor information</title><source>Elsevier ScienceDirect Journals</source><creator>Hong, Sung Bin ; Yoo, Jin Woo ; Kim, Min Soo</creator><creatorcontrib>Hong, Sung Bin ; Yoo, Jin Woo ; Kim, Min Soo</creatorcontrib><description>•A new prediction method of refrigerant charge amount in the air source heat pump system is proposed.•Theoretical analysis of the refrigerant charge in the system is performed.•Charge prediction method requires only few experimental data and installed sensors.•The accuracy of the method is verified by both cooling and heating mode experiments.
The performance of the heat pump system varies greatly depending on the refrigerant charge amount. However, the refrigerant in the system slowly leaks during operation. Therefore, in order to guarantee system performance and life span, it is important to predict the charge amount in real time and recharge the shortage. Nevertheless, since the configuration and control of the heat pump system becomes more complicated, it is very difficult to predict the refrigerant charge amount. Various previous studies have been carried out to predict refrigerant charge amount, but most of them are empirical methods or theoretical, but require much experimental data for high accuracy. In this paper, a refrigerant charge amount prediction method which requires only a few experimental data for high prediction accuracy is proposed through theoretical analysis of the refrigerant charge. The proposed method was verified by experiments, and the root mean square error was 3.7% in cooling mode and 8.2% in heating mode.</description><identifier>ISSN: 0140-7007</identifier><identifier>EISSN: 1879-2081</identifier><identifier>DOI: 10.1016/j.ijrefrig.2019.05.031</identifier><language>eng</language><publisher>Paris: Elsevier Ltd</publisher><subject>Air source heat pump ; Analyse théorique ; Charge amount prediction ; Empirical analysis ; Heat exchangers ; Heat pumps ; Heat transfer ; Heating ; Information du capteur ; Pompe à chaleur aérothermique ; Prédiction de la quantité de charge ; Pumps ; Quantité de charge en frigorigène ; Refrigerant charge amount ; Refrigerants ; Refrigeration ; Sensor information ; Theoretical analysis</subject><ispartof>International journal of refrigeration, 2019-08, Vol.104, p.335-343</ispartof><rights>2019 Elsevier Ltd and IIR</rights><rights>Copyright Elsevier Science Ltd. Aug 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-484ea5489ba83c0af152d80e2fcc6f53a0faf3f22d001c76240ffa65486add8f3</citedby><cites>FETCH-LOGICAL-c340t-484ea5489ba83c0af152d80e2fcc6f53a0faf3f22d001c76240ffa65486add8f3</cites><orcidid>0000-0002-4996-5976</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0140700719302300$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Hong, Sung Bin</creatorcontrib><creatorcontrib>Yoo, Jin Woo</creatorcontrib><creatorcontrib>Kim, Min Soo</creatorcontrib><title>A theoretical refrigerant charge prediction equation for air source heat pump system based on sensor information</title><title>International journal of refrigeration</title><description>•A new prediction method of refrigerant charge amount in the air source heat pump system is proposed.•Theoretical analysis of the refrigerant charge in the system is performed.•Charge prediction method requires only few experimental data and installed sensors.•The accuracy of the method is verified by both cooling and heating mode experiments.
The performance of the heat pump system varies greatly depending on the refrigerant charge amount. However, the refrigerant in the system slowly leaks during operation. Therefore, in order to guarantee system performance and life span, it is important to predict the charge amount in real time and recharge the shortage. Nevertheless, since the configuration and control of the heat pump system becomes more complicated, it is very difficult to predict the refrigerant charge amount. Various previous studies have been carried out to predict refrigerant charge amount, but most of them are empirical methods or theoretical, but require much experimental data for high accuracy. In this paper, a refrigerant charge amount prediction method which requires only a few experimental data for high prediction accuracy is proposed through theoretical analysis of the refrigerant charge. The proposed method was verified by experiments, and the root mean square error was 3.7% in cooling mode and 8.2% in heating mode.</description><subject>Air source heat pump</subject><subject>Analyse théorique</subject><subject>Charge amount prediction</subject><subject>Empirical analysis</subject><subject>Heat exchangers</subject><subject>Heat pumps</subject><subject>Heat transfer</subject><subject>Heating</subject><subject>Information du capteur</subject><subject>Pompe à chaleur aérothermique</subject><subject>Prédiction de la quantité de charge</subject><subject>Pumps</subject><subject>Quantité de charge en frigorigène</subject><subject>Refrigerant charge amount</subject><subject>Refrigerants</subject><subject>Refrigeration</subject><subject>Sensor information</subject><subject>Theoretical analysis</subject><issn>0140-7007</issn><issn>1879-2081</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkEtPAyEUhYnRxFr9C4bE9YwXmOfOpvGVNHGja0KZS8uk8yhQk_57aUfXrmBxvgPnI-SeQcqAFY9taluHxtlNyoHVKeQpCHZBZqwq64RDxS7JDFgGSQlQXpMb71sAVkJezci4oGGLg8NgtdrRqQed6gPVW-U2SEeHjdXBDj3F_UGdL2ZwVFlH_XBwGukWVaDjoRupP_qAHV0rjw2NQY-9j1nbR6I7s7fkyqidx7vfc06-Xp4_l2_J6uP1fblYJVpkEJKsylDlWVWvVSU0KMNy3lSA3GhdmFwoMMoIw3kTp-iy4BkYo4pIFKppKiPm5GHqHd2wP6APso2f7eOTkvO6ZoKDyGKqmFLaDd7H9XJ0tlPuKBnIk13Zyj-78mRXQi6j3Qg-TSDGDd8WnfTaYq-jK4c6yGaw_1X8AGlhiUc</recordid><startdate>201908</startdate><enddate>201908</enddate><creator>Hong, Sung Bin</creator><creator>Yoo, Jin Woo</creator><creator>Kim, Min Soo</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><orcidid>https://orcid.org/0000-0002-4996-5976</orcidid></search><sort><creationdate>201908</creationdate><title>A theoretical refrigerant charge prediction equation for air source heat pump system based on sensor information</title><author>Hong, Sung Bin ; Yoo, Jin Woo ; Kim, Min Soo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-484ea5489ba83c0af152d80e2fcc6f53a0faf3f22d001c76240ffa65486add8f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Air source heat pump</topic><topic>Analyse théorique</topic><topic>Charge amount prediction</topic><topic>Empirical analysis</topic><topic>Heat exchangers</topic><topic>Heat pumps</topic><topic>Heat transfer</topic><topic>Heating</topic><topic>Information du capteur</topic><topic>Pompe à chaleur aérothermique</topic><topic>Prédiction de la quantité de charge</topic><topic>Pumps</topic><topic>Quantité de charge en frigorigène</topic><topic>Refrigerant charge amount</topic><topic>Refrigerants</topic><topic>Refrigeration</topic><topic>Sensor information</topic><topic>Theoretical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hong, Sung Bin</creatorcontrib><creatorcontrib>Yoo, Jin Woo</creatorcontrib><creatorcontrib>Kim, Min Soo</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><jtitle>International journal of refrigeration</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hong, Sung Bin</au><au>Yoo, Jin Woo</au><au>Kim, Min Soo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A theoretical refrigerant charge prediction equation for air source heat pump system based on sensor information</atitle><jtitle>International journal of refrigeration</jtitle><date>2019-08</date><risdate>2019</risdate><volume>104</volume><spage>335</spage><epage>343</epage><pages>335-343</pages><issn>0140-7007</issn><eissn>1879-2081</eissn><abstract>•A new prediction method of refrigerant charge amount in the air source heat pump system is proposed.•Theoretical analysis of the refrigerant charge in the system is performed.•Charge prediction method requires only few experimental data and installed sensors.•The accuracy of the method is verified by both cooling and heating mode experiments.
The performance of the heat pump system varies greatly depending on the refrigerant charge amount. However, the refrigerant in the system slowly leaks during operation. Therefore, in order to guarantee system performance and life span, it is important to predict the charge amount in real time and recharge the shortage. Nevertheless, since the configuration and control of the heat pump system becomes more complicated, it is very difficult to predict the refrigerant charge amount. Various previous studies have been carried out to predict refrigerant charge amount, but most of them are empirical methods or theoretical, but require much experimental data for high accuracy. In this paper, a refrigerant charge amount prediction method which requires only a few experimental data for high prediction accuracy is proposed through theoretical analysis of the refrigerant charge. The proposed method was verified by experiments, and the root mean square error was 3.7% in cooling mode and 8.2% in heating mode.</abstract><cop>Paris</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ijrefrig.2019.05.031</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-4996-5976</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0140-7007 |
ispartof | International journal of refrigeration, 2019-08, Vol.104, p.335-343 |
issn | 0140-7007 1879-2081 |
language | eng |
recordid | cdi_proquest_journals_2299132034 |
source | Elsevier ScienceDirect Journals |
subjects | Air source heat pump Analyse théorique Charge amount prediction Empirical analysis Heat exchangers Heat pumps Heat transfer Heating Information du capteur Pompe à chaleur aérothermique Prédiction de la quantité de charge Pumps Quantité de charge en frigorigène Refrigerant charge amount Refrigerants Refrigeration Sensor information Theoretical analysis |
title | A theoretical refrigerant charge prediction equation for air source heat pump system based on sensor information |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T15%3A03%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=A%20theoretical%20refrigerant%20charge%20prediction%20equation%20for%20air%20source%20heat%20pump%20system%20based%20on%20sensor%20information&rft.jtitle=International%20journal%20of%20refrigeration&rft.au=Hong,%20Sung%20Bin&rft.date=2019-08&rft.volume=104&rft.spage=335&rft.epage=343&rft.pages=335-343&rft.issn=0140-7007&rft.eissn=1879-2081&rft_id=info:doi/10.1016/j.ijrefrig.2019.05.031&rft_dat=%3Cproquest_cross%3E2299132034%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=2299132034&rft_id=info:pmid/&rft_els_id=S0140700719302300&rfr_iscdi=true |