Article(id=1324333621305279130, tenantId=1146029695717560320, journalId=1319690209941618849, issueId=1324333573712511176, articleNumber=null, orderNo=null, doi=10.12398/j.issn.2096-7217.2026.01.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1755705600000, receivedDateStr=2025-08-21, revisedDate=1761753600000, revisedDateStr=2025-10-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1793675340247, onlineDateStr=2026-11-03, pubDate=1771084800000, pubDateStr=2026-02-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793675340247, onlineIssueDateStr=2026-11-03, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793675340247, creator=13701087609, updateTime=1793675340247, updator=13701087609, issue=Issue{id=1324333573712511176, tenantId=1146029695717560320, journalId=1319690209941618849, year='2026', volume='7', issue='1', pageStart='1', pageEnd='196', issueExtLink='null', onlineDate='null', pubDate='1771084800000', pubDateStr='2026-02-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793675328901, creator='13701087609', updateTime=1793872389599, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1325160106287039215, tenantId=1146029695717560320, journalId=1319690209941618849, issueId=1324333573712511176, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1325160106287039216, tenantId=1146029695717560320, journalId=1319690209941618849, issueId=1324333573712511176, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=96, endPage=104, ext={EN=ArticleExt(id=1324333621762458267, articleId=1324333621305279130, tenantId=1146029695717560320, journalId=1319690209941618849, language=EN, title=Research on air volume ratio control strategy of heat pump drying system with regenerator, columnId=null, journalTitle=Journal of Intelligent Agricultural Mechanization, columnName=null, runingTitle=null, highlight=null, articleAbstract=

In response to the problems of low energy utilization efficiency and the uncertain relationship between the drying rate and air volume regulation in traditional heat pump drying systems, this study proposes an intelligent heat pump drying system with a regenerator, which consists of a heat pump cycle subsystem and an air circulation subsystem. To enhance the drying rate and energy utilization efficiency of the system, models for the heat pump cycle, moisture production of materials, air temperature and humidity in the drying chamber, intelligent regulation of air volume ratio, and heat exchange in the air regenerator were constructed using MATLAB/Simulink. Based on the principle of energy conservation and with the constraint that the moisture production of materials is equal to the moisture removal rate, a method for regulating the air circulation temperature and humidity was established to achieve intelligent dynamic regulation of the ratio of return air to fresh air. Taking mushrooms as the drying object, the effects of temperature, humidity, and drying air velocity on drying characteristics and the ratio of return air to fresh air were investigated. The results show that when the ambient temperature increased from 15 ℃ to 35 ℃, the inlet temperature of the drying chamber also rose. To maintain the optimal drying efficiency of the system, the ratio of return air to fresh air gradually decreased from 7∶3 to 6∶4. When the ambient relative humidity decreased from 80% to 40%, the moisture production rate of mushrooms gradually increased, the return air volume increased, and the ratio of return air to fresh air gradually increased from 6∶4 to 7∶3. When the drying air velocity increased from 1 m/s to 3 m/s, the convective heat transfer was enhanced, the moisture production rate of mushrooms accelerated, and the optimal ratio of return air to fresh air increased synchronously from 5∶5 and approaches 7∶3. The comparison results show that reducing the ratio of return air to fresh air under high-temperature conditions and increasing it under low-humidity and high-velocity conditions are beneficial to maintaining a high-temperature and low-humidity environment in the air duct and promoting the evaporation of mushroom moisture. The research results can ensure that the heat pump drying system improves energy utilization efficiency while maintaining a high-temperature and low-humidity environment in the air duct to guarantee the optimal drying rate, providing theoretical and technical support for the intelligence and application of the heat pump drying system.

, authors=Shaohua LANG¹, Rong FENG^{1, 2}, Ganglin CAO^{1, 2}, Ye LIU³, Gang HOU⁴, Hong CUI^{1, 2}, authorsList=Shaohua LANG, Rong FENG, Ganglin CAO, Ye LIU, Gang HOU, Hong CUI, authorCompany=null, correspAuthors=Rong FENG, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1324333622588736156, articleId=1324333621305279130, tenantId=1146029695717560320, journalId=1319690209941618849, language=CN, title=回热式热泵干燥系统温湿度智能调控策略研究, columnId=0, journalTitle=智能化农业装备学报（中英文）, columnName=, runingTitle=null, highlight=null, articleAbstract=

针对传统热泵干燥系统能源利用率低，干燥速率与风量调控比例关系不确定等问题，研究提出带有回热器的智能化热泵干燥系统，由热泵循环子系统和空气循环子系统组成。为提高系统的干燥速率与能源利用率，通过MATLAB/Simulink构建了热泵循环、物料产湿、干燥室空气温湿度、风量比智能调控及空气回热器换热等模型，基于能量守恒，以物料产湿量与排湿量相等作为约束条件，建立空气循环温湿度调节方法，实现回风与新风比的智能化动态调控。并以香菇为干燥对象，研究了温湿度和干燥风速对干燥特性和回风/新风比的影响。结果表明：当环境温度从15 ℃提升至35 ℃时，干燥室入口温度也随之升高，为维持系统最佳干燥效率，回风/新风比从7：3逐渐减小至6：4；环境相对湿度从80%降至40%时，香菇产湿速率逐渐增大，回风量增多，回风/新风比从6：4逐渐增大至7：3；干燥风速从1 m/s提升至3 m/s，对流换热强化，香菇产湿速率加快，最佳回风/新风比从5：5同步增大并趋近7：3。对比结果可知，高温工况下降低回风/新风比；低湿、高风速工况下增大回风/新风比有利于维持风道内高温低湿环境，促进香菇水分蒸发。研究结果可保证热泵干燥系统提升能源利用率的同时维持风道高温低湿以保障最佳干燥速率，为热泵干燥系统智能化提供理论和技术支持。

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郎少华，男，2000年生，山西晋城人，硕士研究生，研究方向为热泵干燥及装备研发。E-mail：15702665005@163.com

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郎少华，男，2000年生，山西晋城人，硕士研究生，研究方向为热泵干燥及装备研发。E-mail：15702665005@163.com

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