Simulation of heat and power demands using analytical models for buildings in tropical areas
Rebollar, J., Quesada, G., Janssens, A., and DePaepe, M.
December 2006
System Simulation in Buildings 2006 - Proceedings of the Seventh International Conference, Liege, Belgium
Predictions of energy variables behavior play an important roll in the
development of an appropriate energy planning. Typically prediction in
cuban hotel sector use the coefficient known as consumption indices
which is the relation between power consumption and the amount of rooms
occupied per night, this way uses indirectly a simple regression
assumption, but between these both parameters there is not straight
proportionality, because there are other driving factors influencing in
power consumption. The objective of this work was developing several
analytical models to evaluate and to predict energy consumptions in
hotels facilities, but
also, due to actual hourly data of power and heat demand are not widely
available for the most part of cuban hotel sector, the models were
developed to be used as a simulation input of Trnsys program and carry
out a comparison of different alternatives of sizing cogeneration
systems. By means of the statistical technique, energy prediction
equations were established. The building models obtained with multiple
regression analysis allowed predicting power consumption of
eleven different hotels by means of graphics that permits to estimate
power consumption for each hotel analyzed. With the models was verified
that to size the prime mover for cogenerations systems working in
tropical conditions it is better to use power demand management than
traditional thermal demand management.