Statistical Approach to Improve the Efficiency of Air Conditioning System Performance in Changeable Climatic Conditions

Abstract

A statistical approach to improve the performance of air conditioning system with taking into account the current changeable climatic conditions has been proposed. Accoding to this methodological approach the optimum designed heat load, matching current changeable climatic conditions and providing efficient performance of air conditioning system with maximum annual refrigeration effect, has been defined as a result of statistical treatment of data sets of hourly refrigeration outputs year round. According to this approach a value of optimum designed total heat load on the air conditioning system and corresponding refrigeration capacity of refrigeration machine providing the maximum annual refrigeration capacity output and a value of stable heat load (corresponding refrigeration capacity) as designed basic heat load covered with high efficiency performance of refrigeration machine in nominal mode are calculated. The values of unstable heat loads as boost loads for ambient air precooling covered with low efficiency performance of refrigeration machine in partial modes that cause energetic losses are calculated by remainder principle – as difference between optimum designed total refrigeration capacity, providing the maximum annual refrigeration output, and a value of stable heat load as designed basic heat load. The operation of refrigeration machine in partial modes needs application of energy conserving methods of air conditioning as an example with accumulation of excessive refrigeration capacity at decreased current heat loads and its using at increased current heat loads or application of expensive inventor compressors to control motor speed matching current changeable heat loads.