Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks

Table 1

Sensory system installed in the greenhouse.

Variable	Model
Inside of the greenhouse
Temperature and humidity	HMP45a, Vaisala, Finland
Global radiation	MRG-1P, ITC, Almeria, Spain
CO2 concentration	UA-06, PRIVA B.V., De Lier, Holland
Outside of the greenhouse
Temperature and humidity	HMP45a, Vaisala, Finland
Radiation PAR	PAR Lite
Global radiation	MRG-1P, ITC, Almeria, Spain
Wind speed	Model 12102, R. M. Young Company,
	Traverse City, Michigan, USA
Wind direction	D-034B-CA, Delta-T Devices Ltd.,
	Cambridge, United Kingdom
CO2 concentration	ZFP–DZ, Siemens, Munich, Germany
Rain	WS 10 R, JUNG Electro Iberica S.A.,
	Barcelona, Spain
Energy demand	SINEAX M 561 with 1 and 2, respectively,
	3 analog outputs