Energy consumption feedback in perspective: integrating Australian data to meta-analyses on in home displays

Providing homeowners with real-time feedback on their electricity consumption through a dedicated display device has been shown to reduce consumption by approximately 6-10%. However, recent advances in smart grid technology have enabled larger sample sizes and more representative sample selection and recruitment methods for display trials. By analyzing these factors using data from current studies, this paper argues that a realistic, large-scale conservation effect from feedback is in the range of 3-5%. Subsequent analysis shows that providing real-time feedback may not be a cost effective strategy for reducing carbon emissions in Australia, but that it may enable additional benefits such as customer retention and peak-load shift.

The statistical properties of tropical ice clouds generated by the West-African and Australian monsoons from ground-based radar-lidar observations

In the present paper we characterize the statistical properties of non-precipitating tropical ice clouds (deep ice anvils resulting from deep convection and cirrus clouds) over Niamey, Niger, West Africa, and Darwin, northern Australia, using ground-based radar–lidar observations from the Atmospheric Radiation Measurement (ARM) programme. The ice cloud properties analysed in this paper are the frequency of ice cloud occurrence, cloud fraction, the morphological properties (cloud-top height, base height, and thickness), the microphysical and radiative properties (ice water content, visible extinction, effective radius, terminal fall speed, and concentration), and the internal cloud dynamics (in-cloud vertical air velocity). The main highlight of the paper is that it characterizes for the first time the probability density functions of the tropical ice cloud properties, their vertical variability and their diurnal variability at the same time. This is particularly important over West Africa, since the ARM deployment in Niamey provides the first vertically resolved observations of non-precipitating ice clouds in this crucial area in terms of redistribution of water and energy in the troposphere. The comparison between the two sites also provides an additional observational basis for the evaluation of the parametrization of clouds in large-scale models, which should be able to reproduce both the statistical properties at each site and the differences between the two sites. The frequency of ice cloud occurrence is found to be much larger over Darwin when compared to Niamey, and with a much larger diurnal variability, which is well correlated with the diurnal cycle of deep convective activity. The diurnal cycle of the ice cloud occurrence over Niamey is also much less correlated with that of deep convective activity than over Darwin, probably owing to the fact that Niamey is further away from the deep convective sources of the region. The frequency distributions of cloud fraction are strongly bimodal and broadly similar over the two sites, with a predominance of clouds characterized either by a very small cloud fraction (less than 0.3) or a very large cloud fraction (larger than 0.9). The ice clouds over Darwin are also much thicker (by 1 km or more statistically) and are characterized by a much larger diurnal variability than ice clouds over Niamey. Ice clouds over Niamey are also characterized by smaller particle sizes and fall speeds but in much larger concentrations, thereby carrying more ice water and producing more visible extinction than the ice clouds over Darwin. It is also found that there is a much larger occurrence of downward in-cloud air motions less than 1 m s−1 over Darwin, which together with the larger fall speeds retrieved over Darwin indicates that the life cycle of ice clouds is probably shorter over Darwin than over Niamey.

Estimated intake of dietary phytoestrogens in Australian women and evaluation of correlates of phytoestrogen intake

The role of dietary phytoestrogens in health has been of continued interest and debate, but available data on the distribution of intake in the Australian diet is scarce. Therefore, we aimed to estimate phytoestrogen consumption in Australian women, describe the pattern of intake and identify correlates of high phytoestrogen intake. Study participants were 2078 control women (18-79 y) from two population-based case-control studies on gyneacological cancers (2002-2007). Dietary information was obtained using a 135-item semiquantitative FFQ and intakes of isoflavones, lignans, enterolignans and coumestans, including their individual components, were estimated using a database of phytoestrogen content in food developed in the UK. Median total intake (energy-adjusted) of phytoestrogens was 1.29 mg/d, of isoflavones 611 μg/d, of lignans 639 μg/d, of enterolignans 21μg/d and of coumestrol 8 μg/d. Both isoflavone and lignan intake were strongly skewed towards higher values and positively correlated with age. Women consumed on average 2 serves of soy foods/week. Compared to low phytoestrogen consumers (≤1.29 mg/d, median split), high phytoestrogen consumers (>1.29 mg/d) were slightly older, less likely to be smokers, had a higher educational and physical activity level, lower BMI, lower intake of dietary fat, and higher intake of fibre, selected micronutrient and soy food (all p<0.03). The daily intake of phytoestrogens in Australian women with predominantly Caucasian ethnicity is approximately 1 mg, similar to other Western populations, but considerably lower than among Asian women. However, those with a relatively high phytoestrogen diet seem to have healthier lifestyle and more favourable dietary profile compared to others.