Digital computer simulation of complex radiant heat load.
Abstract The exchange of radiant heat between an absorber and a variety of radiators in its surroundings is capable of calculation by digital computer. When the absorber is characterized as a black body, the calculated results may represent the maximum potential radiant heat load upon a man occupying the absorber location. Calculations of heat exchange for a matrix of absorber locations within a work space permits the construction of isopleths of heat load in that work space; this may be done for any elevation of interest. The contribution made by each individual radiator to the heat load on absorbers at the various locations may be obtained. Repeated computer runs using simple changes in input data may be used to simulate various alternatives for control of radiant heat exposures. Use of a digital computer permits mathematical assessment of radiant heat exchange problems for which manual calculations would be prohibitively time consuming and costly.
Calculation of Complex Radiant Heat Load From Surrounding Radiator Surface Temperatures
Abstract A method for calculating the radiant heat exchange between an absorber and individual radiating components in its surroundings is reported. Radiator surface temperatures, ambient and absorber temperatures, and configuration factors for radiating components in the surroundings are used in the customary radiant heat exchange formulae. Simplified methods for calculating or estimating configuration factors for radiators of various shapes solely from angles, subtended at the absorber by the radiators are presented. The method has been verified in the laboratory under controlled conditions and has been used to advantage in the field studies. The method has advantages over the globe therometer method in certain applications.
Application of resource allocation optimisation to provide profitable options for dairy production systems
A linear program (LP) model analysed resource use on a 100 ha dairy farm. A single optimum-profit combination was established for resources which were either optimised or constrained. It was found that, with a fixed herd of 320 milking cows, when production increased from 305 kg milksolids per cow (kg MS/cow) to 415 kg MS/cow, cash profit increased by 65%. This required additional supplements. If, however, feed demand and supply were optimised at 415 kg MS/cow, the LP reduced milking cow number rather than buy in feed to meet the increased feed demand from higher production per cow. At all production levels chosen between 305 and 415 kgMS/cow, it was most economic to dry off and cull cows early in dry summers to optimise feed demand vs. feed grown; use nitrogen (N) fertiliser to avoid a feed deficit only when response rates of better than 10 kgDM to 1 kg N could be expected; not use N for growing supplements to harvest. Pasture cover, within defined constraint levels, provided a buffer for feed demand and supply fluctuations. The study highlights the importance of assessing production, income and cost in an integrated framework to identify the point at which individual resources become limiting.