1999
DOI: 10.17660/actahortic.1999.507.13
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An Energy Efficient Heating Strategy for Cut Rose Production Based on Crop Tolerance to Temperature Fluctuations

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Cited by 15 publications
(9 citation statements)
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“…Delayed plant growth is then compensated for by higher temperature under conditions requiring little or no heat demand, such as when the wind speed is low, the outside temperature is high or solar radiation is high (Bailey, 1985;Körner and Van Straten, 2008). The possibility to exploit such temperature integration systems has been published for several ornamental plants and vegetable crops, such as roses (Buwalda et al, 1999), chrysanthemum (Körner and Challa, 2004), cucumber (Slack and Hand, 1983), sweet pepper (Bakker and van Uffelen, 1988) and tomato (De Koning, 1990). These strategies, which are based on a combination of models and empirical knowledge, usually use fixed time periods for achieving a certain average temperature independent of all other micrometeorological variables.…”
Section: Introductionmentioning
confidence: 99%
“…Delayed plant growth is then compensated for by higher temperature under conditions requiring little or no heat demand, such as when the wind speed is low, the outside temperature is high or solar radiation is high (Bailey, 1985;Körner and Van Straten, 2008). The possibility to exploit such temperature integration systems has been published for several ornamental plants and vegetable crops, such as roses (Buwalda et al, 1999), chrysanthemum (Körner and Challa, 2004), cucumber (Slack and Hand, 1983), sweet pepper (Bakker and van Uffelen, 1988) and tomato (De Koning, 1990). These strategies, which are based on a combination of models and empirical knowledge, usually use fixed time periods for achieving a certain average temperature independent of all other micrometeorological variables.…”
Section: Introductionmentioning
confidence: 99%
“…The presented microclimate model has the potential for being generic. A simulation case study showed that using this model to predict crop microclimate is a promising alternative to greenhouse air temperature control and may be used for model-based dynamic control regimes (Aaslyng et al, 1999;Bailey, 1985;Bailey and Seginer, 1989;Buwalda et al, 1999;Kö rner and Challa, 2003a;Seginer et al, 1994) or for the concept of optimal greenhouse climate control (Gal et al, 1984). Because 10% energy is saved by a 1°C lower greenhouse temperature (Tantau, 1998), heating demand and therefore energy consumption can strongly decrease when using this microclimate model for crop temperature control.…”
Section: Discussionmentioning
confidence: 99%
“…Energysaving is highest during winter and 12% energy saving was attained during January under Danish climate conditions. During the last 20 years, several dynamic temperature regimes were designed for greenhouse energy-saving (e.g., Aaslyng et al, 1999;Bailey, 1985;Bailey and Seginer, 1989;Buwalda et al, 1999;Körner and Challa, 2003a;Seginer et al, 1994). In the early 1990s, a complete dynamic climate control concept was first developed (Aaslyng et al, 2003) and constantly further developed since then.…”
mentioning
confidence: 99%
“…The energy savings depend on the crop and the magnitude of temperature fluctuations allowed. The range of energy savings with TI, according to experiments and simulations, is 5-15% (Buwalda et al 1999;Körner and Challa, 2003;Elings et al 2005), with few effects on production.…”
Section: A Double Luxous Screen In a Cucumber Cropmentioning
confidence: 96%