We present an equation of state that can represent within experimental error most individual sets of published PVT data for most fluids, whether in the range of vapor at moderate pressures, or compressed liquids, or gases at very high temperatures and densities, any region in fact except the vicinity of the critical point. In terms of pressure the equation is P = DRT [1 + (D/T) (c1T + c2D - 1) / (c3 + c4Tsol12 + c5D + c6D2)] where D = 1/V, the density in mole 1−1. The coefficients are readily determined by a least squares fit of the data. An additional term is sometimes needed if the D range is very wide, say several times Dc. Different fluids can be simultaneously represented over a limited range, such as the compressed liquid region, by a single reduced form of the equation in which all but three of the constants are the same for all, and these three (a reducing T, 1/c1, a reducing D, 1 / c2, and a dimensionless parameter) are characteristic of each individual fluid. The equation can also simultaneously represent many data sets for a single fluid from many labs and covering various T and D ranges. From this, a consistent representation of its thermodynamic properties can be derived.

Wind turbines have been erected in increasing numbers in Europe, the USA and elsewhere. In Europe Denmark has played a particularly prominent part in developing the technology and has installed a large numbers of turbines. The paper is concerned with the influence of the weather on the reliability of modern wind turbines and in particular the effect of wind speed. The prime objective of the work is to extract information from existing reliability data to draw conclusions about how the wind speed affects turbine reliability and which subassemblies in the turbine it affects the most. The purpose is to make information available to turbine manufacturers and operators so that the reliability of new wind turbine designs can be improved, particularly if they are to be installed offshore, where the weather is more inclement. Data are collected from Windstats for historic, maintained, Danish wind turbines and on-line data collected for the Danish weather. These data are used to analyse the reliability of wind turbines and their subassemblies in varying weather conditions from 1994–2004. The paper describes practical methods of extracting information from wind-turbine reliability data and shows how turbine design, turbine configuration, time and the weather can affect the extracted results.

This paper discusses the scope and rationale behind a farmer workshop series called LANDSCAN. LANDSCAN was developed for graziers in the highly variable tableland environment in response to the need for a whole farm approach to specific degradation problems such as soil acidification, dryland salinity, soil nutrient deficiencies and pasture decline. Programs that focussed on single issues were not practical as many problems are inter-related and soil and landscape features affect options and responses. Soil tests were generally not well understood and under utilised in farm management decision making on most tableland properties. The aim of the workshop is to develop skills & knowledge to assess a farm's natural resources (pastures, vegetation, soils & topography) and assist farmers and land managers to better match land-use to land capability.