Statistical-mathematical procedure to determine the cooling distribution of a chiller plant

This paper presents a procedure to determine the cooling capacity distribution of chillers composing chiller plant using statistical analysis building demand. The mathematical-statistical uses tools such as frequency histograms, box-and-whisker plots, stem-and-leaf generalized least squares method, and finally an iterative factorial generate from processed information. Besides manufacturer’s data, all possible combinations considering design constraints. was verified in hotel facility. Eight thermal demand profiles were simulated. Statistical yielded range individual capacities between 100–353 kW. generated 189 refrigeration 2 5 chillers, with safety factor (SF) 10%–20%. highest number considered plants comprising three four reaching 50 70 options, respectively.