Estimation of Thermal Diffusivity for Greenhouse Soil Temperature Simulation
In greenhouse energy balance models, the soil thermal parameters are important for evaluating the heat transfer between the greenhouse air and the soil. In this study, the soil thermal diffusivity was estimated from greenhouse soil temperature data using the amplitude, phase-shift, arctangent, logar...
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| Veröffentlicht in: | Applied sciences 2020-01, Vol.10 (2), p.653, Article 653 |
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| description | In greenhouse energy balance models, the soil thermal parameters are important for evaluating the heat transfer between the greenhouse air and the soil. In this study, the soil thermal diffusivity was estimated from greenhouse soil temperature data using the amplitude, phase-shift, arctangent, logarithmic, and min-max methods. The results showed that the amplitude method and the min-max method performed well in estimating the soil thermal diffusivity. The obtained soil thermal diffusivity was input into a sinusoidal model to determine the greenhouse soil temperature at different soil depths. For greenhouse applications, the daily average soil temperature at different depths was predicted according to the temperature at the surface and the annual mean soil temperature. The model was validated using soil temperature data from summer and winter, when the greenhouse was cooled and heated, respectively. |
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In this study, the soil thermal diffusivity was estimated from greenhouse soil temperature data using the amplitude, phase-shift, arctangent, logarithmic, and min-max methods. The results showed that the amplitude method and the min-max method performed well in estimating the soil thermal diffusivity. The obtained soil thermal diffusivity was input into a sinusoidal model to determine the greenhouse soil temperature at different soil depths. For greenhouse applications, the daily average soil temperature at different depths was predicted according to the temperature at the surface and the annual mean soil temperature. The model was validated using soil temperature data from summer and winter, when the greenhouse was cooled and heated, respectively.</description><identifier>ISSN: 2076-3417</identifier><identifier>EISSN: 2076-3417</identifier><identifier>DOI: 10.3390/app10020653</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject>Amplitudes ; Boundary conditions ; Chemistry ; Chemistry, Multidisciplinary ; Data collection ; Diffusivity ; Energy balance ; Engineering ; Engineering, Multidisciplinary ; greenhouse ; Greenhouses ; Heat transfer ; Materials Science ; Materials Science, Multidisciplinary ; Methods ; modeling ; Physical Sciences ; Physics ; Physics, Applied ; R&D ; Research & development ; Science & Technology ; Sensors ; soil heat transfer ; Soil temperature ; Soils ; Technology ; Temperature ; Thermal diffusivity</subject><ispartof>Applied sciences, 2020-01, Vol.10 (2), p.653, Article 653</ispartof><rights>2020. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>6</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000522540400229</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c364t-f682a7e08110a9e1f30e0a12790b3dac3dfdb043698d11be4fd27297475efa0b3</citedby><cites>FETCH-LOGICAL-c364t-f682a7e08110a9e1f30e0a12790b3dac3dfdb043698d11be4fd27297475efa0b3</cites><orcidid>0000-0002-8658-8575</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,866,2106,2118,27933,27934,28257</link.rule.ids></links><search><creatorcontrib>Wang, Jizhang</creatorcontrib><creatorcontrib>Lee, Wee Fong</creatorcontrib><creatorcontrib>Ling, Peter P.</creatorcontrib><title>Estimation of Thermal Diffusivity for Greenhouse Soil Temperature Simulation</title><title>Applied sciences</title><addtitle>APPL SCI-BASEL</addtitle><description>In greenhouse energy balance models, the soil thermal parameters are important for evaluating the heat transfer between the greenhouse air and the soil. In this study, the soil thermal diffusivity was estimated from greenhouse soil temperature data using the amplitude, phase-shift, arctangent, logarithmic, and min-max methods. The results showed that the amplitude method and the min-max method performed well in estimating the soil thermal diffusivity. The obtained soil thermal diffusivity was input into a sinusoidal model to determine the greenhouse soil temperature at different soil depths. For greenhouse applications, the daily average soil temperature at different depths was predicted according to the temperature at the surface and the annual mean soil temperature. The model was validated using soil temperature data from summer and winter, when the greenhouse was cooled and heated, respectively.</description><subject>Amplitudes</subject><subject>Boundary conditions</subject><subject>Chemistry</subject><subject>Chemistry, Multidisciplinary</subject><subject>Data collection</subject><subject>Diffusivity</subject><subject>Energy balance</subject><subject>Engineering</subject><subject>Engineering, Multidisciplinary</subject><subject>greenhouse</subject><subject>Greenhouses</subject><subject>Heat transfer</subject><subject>Materials Science</subject><subject>Materials Science, Multidisciplinary</subject><subject>Methods</subject><subject>modeling</subject><subject>Physical Sciences</subject><subject>Physics</subject><subject>Physics, Applied</subject><subject>R&D</subject><subject>Research & development</subject><subject>Science & Technology</subject><subject>Sensors</subject><subject>soil heat transfer</subject><subject>Soil temperature</subject><subject>Soils</subject><subject>Technology</subject><subject>Temperature</subject><subject>Thermal diffusivity</subject><issn>2076-3417</issn><issn>2076-3417</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqNkE1LxDAQhosoKOrJP1DwKKuTjzbNUdZPWPDgeg5pM9Es3aYmqeK_N-6KejSXhOGZZyZvUZwQOGdMwoUeRwJAoa7YTnFAQdQzxonY_fPeL45jXEE-krCGwEGxuI7JrXVyfii9LZcvGNa6L6-ctVN0by59lNaH8jYgDi9-ilg-eteXS1yPGHSaQi649dRvDEfFntV9xOPv-7B4urlezu9mi4fb-_nlYtaxmqeZrRuqBUJDCGiJxDJA0IQKCS0zumPGmhY4q2VjCGmRW0MFlYKLCq3OzGFxv_Uar1dqDPkD4UN57dSm4MOz0iG5rkeljTGUEqjb7KGVbTqCsoVKWClrjTK7TreuMfjXCWNSKz-FIa-vKK8bISpKeKbOtlQXfIwB7c9UAuorffUn_Uw3W_odW29j53Do8Kcjp19RWnHgmady7tImvLmfhvQ76D-t7BOskJfw</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Wang, Jizhang</creator><creator>Lee, Wee Fong</creator><creator>Ling, Peter P.</creator><general>Mdpi</general><general>MDPI AG</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8658-8575</orcidid></search><sort><creationdate>20200101</creationdate><title>Estimation of Thermal Diffusivity for Greenhouse Soil Temperature Simulation</title><author>Wang, Jizhang ; Lee, Wee Fong ; Ling, Peter P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-f682a7e08110a9e1f30e0a12790b3dac3dfdb043698d11be4fd27297475efa0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Amplitudes</topic><topic>Boundary conditions</topic><topic>Chemistry</topic><topic>Chemistry, Multidisciplinary</topic><topic>Data collection</topic><topic>Diffusivity</topic><topic>Energy balance</topic><topic>Engineering</topic><topic>Engineering, Multidisciplinary</topic><topic>greenhouse</topic><topic>Greenhouses</topic><topic>Heat transfer</topic><topic>Materials Science</topic><topic>Materials Science, Multidisciplinary</topic><topic>Methods</topic><topic>modeling</topic><topic>Physical Sciences</topic><topic>Physics</topic><topic>Physics, Applied</topic><topic>R&D</topic><topic>Research & development</topic><topic>Science & Technology</topic><topic>Sensors</topic><topic>soil heat transfer</topic><topic>Soil temperature</topic><topic>Soils</topic><topic>Technology</topic><topic>Temperature</topic><topic>Thermal diffusivity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jizhang</creatorcontrib><creatorcontrib>Lee, Wee Fong</creatorcontrib><creatorcontrib>Ling, Peter P.</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Applied sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jizhang</au><au>Lee, Wee Fong</au><au>Ling, Peter P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of Thermal Diffusivity for Greenhouse Soil Temperature Simulation</atitle><jtitle>Applied sciences</jtitle><stitle>APPL SCI-BASEL</stitle><date>2020-01-01</date><risdate>2020</risdate><volume>10</volume><issue>2</issue><spage>653</spage><pages>653-</pages><artnum>653</artnum><issn>2076-3417</issn><eissn>2076-3417</eissn><abstract>In greenhouse energy balance models, the soil thermal parameters are important for evaluating the heat transfer between the greenhouse air and the soil. In this study, the soil thermal diffusivity was estimated from greenhouse soil temperature data using the amplitude, phase-shift, arctangent, logarithmic, and min-max methods. The results showed that the amplitude method and the min-max method performed well in estimating the soil thermal diffusivity. The obtained soil thermal diffusivity was input into a sinusoidal model to determine the greenhouse soil temperature at different soil depths. For greenhouse applications, the daily average soil temperature at different depths was predicted according to the temperature at the surface and the annual mean soil temperature. The model was validated using soil temperature data from summer and winter, when the greenhouse was cooled and heated, respectively.</abstract><cop>BASEL</cop><pub>Mdpi</pub><doi>10.3390/app10020653</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-8658-8575</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Amplitudes Boundary conditions Chemistry Chemistry, Multidisciplinary Data collection Diffusivity Energy balance Engineering Engineering, Multidisciplinary greenhouse Greenhouses Heat transfer Materials Science Materials Science, Multidisciplinary Methods modeling Physical Sciences Physics Physics, Applied R&D Research & development Science & Technology Sensors soil heat transfer Soil temperature Soils Technology Temperature Thermal diffusivity |
| title | Estimation of Thermal Diffusivity for Greenhouse Soil Temperature Simulation |
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