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Development of an intelligent indoor environment and energy management system for greenhouses
The microclimate control in a greenhouse is a complicated procedure since the variables that influence it are several and dependant on each other. This work is an effort of integrating these variables in a common control methodology through the development of an intelligent environment and energy ma...
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Published in: | Energy conversion and management 2010, Vol.51 (1), p.155-168 |
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container_end_page | 168 |
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container_start_page | 155 |
container_title | Energy conversion and management |
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creator | Kolokotsa, D. Saridakis, G. Dalamagkidis, K. Dolianitis, S. Kaliakatsos, I. |
description | The microclimate control in a greenhouse is a complicated procedure since the variables that influence it are several and dependant on each other. This work is an effort of integrating these variables in a common control methodology through the development of an intelligent environment and energy management system for greenhouses. Two fuzzy logic controllers are developed, embodying the expert knowledge of agriculturists and indoor environment experts. These controllers consist of fuzzy P (Proportional) and PD (Proportional-Derivative) control using desired indoor climatic set-points. The factors being monitored are the greenhouse’s indoor illuminance, temperature, relative humidity, CO
2 concentration and the outside temperature. Output actuations include: heating units, motor-controlled windows, motor-controlled shading curtains, artificial lighting, CO
2 enrichment bottles and water fogging valves. These controllers are prototyped in a Matlab environment and simulated using a greenhouse model, which is implemented as a module within the TRNSYS software. The system is tested in a greenhouse located in MAICh (Mediterranean Agronomic Institute of Chania). The overall installation is based on Local Operating Network (LonWorks) protocol. |
doi_str_mv | 10.1016/j.enconman.2009.09.007 |
format | article |
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2 concentration and the outside temperature. Output actuations include: heating units, motor-controlled windows, motor-controlled shading curtains, artificial lighting, CO
2 enrichment bottles and water fogging valves. These controllers are prototyped in a Matlab environment and simulated using a greenhouse model, which is implemented as a module within the TRNSYS software. The system is tested in a greenhouse located in MAICh (Mediterranean Agronomic Institute of Chania). The overall installation is based on Local Operating Network (LonWorks) protocol.</description><subject>Applied sciences</subject><subject>Carbon dioxide</subject><subject>Controllers</subject><subject>Energy</subject><subject>Energy management systems</subject><subject>Exact sciences and technology</subject><subject>Fuzzy control</subject><subject>Greenhouse</subject><subject>Greenhouses</subject><subject>Indoor</subject><subject>Indoor environment</subject><subject>Indoor environments</subject><subject>Mathematical models</subject><subject>Matlab</subject><subject>Miscellaneous</subject><subject>Monitoring</subject><subject>Natural energy</subject><subject>Solar energy</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkE9rGzEQxUVIoa6br1D2UpLLOqNd7Wp1S3CbP2DIpT0GIUsjR2ZXcqW1wd--2jrJsYEBocdv5s08Qr5RWFCg7fV2gV4HPyi_qADEYirgZ2RGOy7Kqqr4OZkBFW3ZCWCfyZeUtgBQN9DOyPMPPGAfdgP6sQi2UL5wfsS-d5tJcd6EEAv0BxezxSQpb_If4-ZYZEu1wX9qOqYRh8JmeBMR_UvYJ0xfySer-oQXr--c_L77-Wv5UK6e7h-Xt6tSM-BjqUzdKLNe61oohlZY1mFeEIG3QK1BahpgxrZdq1iTLzFCoMD1WoCxDVVYz8nlae4uhj97TKMcXNL5CuUxLyK7TrCqYZxl8uq_JOWc04ZBLTLanlAdQ0oRrdxFN6h4lBTklLzcyrfk5ZS8nAp4bvz-6qGSVr2NymuX3rurqsndVZu5mxOHOZqDwyiTdnkiGhdRj9IE95HVX462n1c</recordid><startdate>2010</startdate><enddate>2010</enddate><creator>Kolokotsa, D.</creator><creator>Saridakis, G.</creator><creator>Dalamagkidis, K.</creator><creator>Dolianitis, S.</creator><creator>Kaliakatsos, I.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>7ST</scope><scope>7U6</scope><scope>SOI</scope></search><sort><creationdate>2010</creationdate><title>Development of an intelligent indoor environment and energy management system for greenhouses</title><author>Kolokotsa, D. ; Saridakis, G. ; Dalamagkidis, K. ; Dolianitis, S. ; Kaliakatsos, I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c407t-ad35adbbc39a4ef9f48e003e07601fde1d504df686a45019d99e9ebb90df51ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Carbon dioxide</topic><topic>Controllers</topic><topic>Energy</topic><topic>Energy management systems</topic><topic>Exact sciences and technology</topic><topic>Fuzzy control</topic><topic>Greenhouse</topic><topic>Greenhouses</topic><topic>Indoor</topic><topic>Indoor environment</topic><topic>Indoor environments</topic><topic>Mathematical models</topic><topic>Matlab</topic><topic>Miscellaneous</topic><topic>Monitoring</topic><topic>Natural energy</topic><topic>Solar energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kolokotsa, D.</creatorcontrib><creatorcontrib>Saridakis, G.</creatorcontrib><creatorcontrib>Dalamagkidis, K.</creatorcontrib><creatorcontrib>Dolianitis, S.</creatorcontrib><creatorcontrib>Kaliakatsos, I.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Energy conversion and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kolokotsa, D.</au><au>Saridakis, G.</au><au>Dalamagkidis, K.</au><au>Dolianitis, S.</au><au>Kaliakatsos, I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of an intelligent indoor environment and energy management system for greenhouses</atitle><jtitle>Energy conversion and management</jtitle><date>2010</date><risdate>2010</risdate><volume>51</volume><issue>1</issue><spage>155</spage><epage>168</epage><pages>155-168</pages><issn>0196-8904</issn><eissn>1879-2227</eissn><coden>ECMADL</coden><abstract>The microclimate control in a greenhouse is a complicated procedure since the variables that influence it are several and dependant on each other. This work is an effort of integrating these variables in a common control methodology through the development of an intelligent environment and energy management system for greenhouses. Two fuzzy logic controllers are developed, embodying the expert knowledge of agriculturists and indoor environment experts. These controllers consist of fuzzy P (Proportional) and PD (Proportional-Derivative) control using desired indoor climatic set-points. The factors being monitored are the greenhouse’s indoor illuminance, temperature, relative humidity, CO
2 concentration and the outside temperature. Output actuations include: heating units, motor-controlled windows, motor-controlled shading curtains, artificial lighting, CO
2 enrichment bottles and water fogging valves. These controllers are prototyped in a Matlab environment and simulated using a greenhouse model, which is implemented as a module within the TRNSYS software. The system is tested in a greenhouse located in MAICh (Mediterranean Agronomic Institute of Chania). The overall installation is based on Local Operating Network (LonWorks) protocol.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2009.09.007</doi><tpages>14</tpages></addata></record> |
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subjects | Applied sciences Carbon dioxide Controllers Energy Energy management systems Exact sciences and technology Fuzzy control Greenhouse Greenhouses Indoor Indoor environment Indoor environments Mathematical models Matlab Miscellaneous Monitoring Natural energy Solar energy |
title | Development of an intelligent indoor environment and energy management system for greenhouses |
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