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Evaluations of energy performance for greenhouses based on multivariate analysis methodology
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Novia, Svenska yrkeshögskolan Vasa.
Novia, Svenska yrkeshögskolan Vasa.
2006 (English)In: Proceedings of the IIIrd international symposium on models for plant growth, environmental control and farm management in protected cultivation (hortimodel 2006) / [ed] L.F.M. Marcelis, G. van Straten, C. Stanghellini, E. Heuvelink, 2006Conference paper, Published paper (Refereed)
Abstract [en]

Improved energy efficiency is very important in order to increase the profitability for the greenhouse industry in northern Europe. For example in the Närpes region in Finland the average energy consumption has been estimated to 525 kWh/m² and year. From the energy use perspective, an operated greenhouse is a very complex system. For evaluating the energy efficiency of a greenhouse and for identification of what to improve, an owner or operator will need guidance. It is however difficult to identify the most energy efficient concept from monitored performance and consumption data. Correlations between the investigated parameters can render the analysis very difficult. To facilitate and improve the analysis, multivariate statistical methods can be a valuable support. We introduce here a multivariate methodology for analysing monitored performance data from greenhouses, with the objective to illustrate ways of improving the energy efficiency. The methodology was applied to a data set from an operated greenhouse in Närpes in Finland. The results illustrate how improvements of transmission and ventilation influence the supplied space heat demand. The methodology was found to be easy to use and the accuracy of the evaluation on the available data set and the parameters appeared to be reasonable.

Place, publisher, year, edition, pages
2006.
Series
Acta Horticulturae - technical communications of ISHS / International society for horticultural science, ISSN 0567-7572 ; 718
Keyword [en]
space heating, energy system analysis, energy efficiency, Partial least squares to Latent Structures (PLS), Principal Component Analysis (PCA)
Identifiers
URN: urn:nbn:se:umu:diva-38884ISBN: 978-90-66056-09-1 (print)OAI: oai:DiVA.org:umu-38884DiVA: diva2:384288
Conference
The IIIrd international symposium on models for plant growth, environmental control and farm management in protected cultivation (hortimodel 2006), HortiModel 2006 October 29 - November 2, 2006 Wageningen, The Netherlands
Available from: 2011-01-08 Created: 2011-01-08 Last updated: 2011-01-24Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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Language
  • de-DE
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Output format
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