Residential distributed generation : decision support software to evaluate opportunities in the residential market : a thesis submitted in partial fulfilment of the requirement for the degree of Masters of Engineering at Massey University, Palmerston North, New Zealand /

The residential market in New Zealand consumes a significant proportion of our electricity production and is one of the fastest growing sectors. As a vertically integrated generator retailer in the New Zealand electricity industry, Meridian Energy Ltd is concerned at retaining and growing their customer base. They recognise that utilisation of emerging distributed generation [DG] technologies can provide a competitive advantage in the market place. A decision tool was developed to help Meridian identify opportunities within the residential market for applications of DG. The model compares the cost to serve a household's energy needs using a business as usual case with a DG case on an annual basis for a single household or a neighbourhood. A modular approach was used for ease of development and to enable future enhancements. The main modules were: load profile development, DG technology, operation control, costing and a calculation engine. The load profile module estimated space heating/cooling, water heating and other electrical loads for each 30 minute period for 8 representative days of a year based on national end-use statistics and a set of 40 reference profiles. A Gamma distribution was used to simulate diversity between houses. The calculation engine computed the amount of demand that could be met by the DG technologies and hence the residual demand or surplus for export. The pricing module estimated the annual cost including aspects such as: capital cost, fuel cost, maintenance, value of export and cost of import. The technology modules allowed different DG technologies, as well as a range of parameters to be selected. It included renewable energy resource modelling. The performance module allowed different operation control of the heat engine technologies including: base load, electrical peaking, heat peaking, load following (heat-led) and load following(electricity-led). The model was implemented using Microsoft Visual Basic for Applications, in Excel. A series of user-forms were developed to enable the model to be run with a minimum of user input. Three case studies were undertaken. In the first, five technology types were modelled, with the heat pump and Stirling engine looking the most promising. The second case study involved these two technologies in a Christchurch urban area study. A hypothetical network analysis showed the benefit that these technologies could have in reducing peak loading on the network. The third case study examined the sensitivity of the results to the value of specific variables. Load size and capital cost had the strongest influence on NPV

Once more with feeling: What is the psychosocial anyway?

This article asks if psychosocial studies can be distinguished from neighbouring fields of inquiry and what, if anything, constitutes a ‘shared language’ among the psychosocial field’s different ‘dialects’. It briefly explores a number of common confusions about psychosocial studies (concerning the field’s relationship to the psychosocial of health science; its newness or otherwise; and the status of psychoanalysis within it), before interrogating two central formulations of the nature of psychosocial study: the claim that the psychosocial refers to the ways in which the psychic and the social demand to be ‘thought together, as intimately connected or possibly even the same thing’ and the notion of a negative practice in a positive structure

An O(n) method of calculating Kendall correlations of spike trains

The ability to record from increasingly large numbers of neurons, and the increasing attention being paid to large scale neural network simulations, demands computationally fast algorithms to compute relevant statistical measures. We present an O(n) algorithm for calculating the Kendall correlation of spike trains, a correlation measure that is becoming especially recognized as an important tool in neuroscience. We show that our method is around 50 times faster than the O (n ln n) method which is a current standard for quickly computing the Kendall correlation. In addition to providing a faster algorithm, we emphasize the role that taking the specific nature of spike trains had on reducing the run time. We imagine that there are many other useful algorithms that can be even more significantly sped up when taking this into consideration. A MATLAB function executing the method described here has been made freely available on-line.Comment: 7 pages, 1 figure, 1 tabl

Evaluating health visitors’ existing knowledge of Down syndrome and the effect of a training workshop

© 2018 The Authors. Journal of Policy and Practice in Intellectual Disabilities published by International Association for the Scientific Study of Intellectual and Developmental Disabilities and Wiley Periodicals, Inc.Children with Down syndrome are at an increased risk of health and development issues in early childhood, therefore monitoring their development and identifying health conditions as early as possible is critical. Health professionals may not always have the training and knowledge to effectively support families of children with disabilities, including Down syndrome. In the UK, health visitors conduct health and development reviews for children under 5 years, therefore they have a key role to play in monitoring and identifying health issues in young children with Down syndrome. However there has been no research on health visitors' knowledge and training needs regarding Down syndrome. This study aimed to assess health visitors' existing knowledge of Down syndrome and evaluate a pilot Down syndrome training session for health visitors. Twenty-six health visitors from two NHS Trusts in England participated in 1 of 5 group training workshops. Pretraining and posttraining questionnaires assessed knowledge about Down syndrome, and feedback on the training session. Knowledge about Down syndrome was low prior to the training and increased significantly following the training session. Health visitors rated the training workshop very highly and would recommend it to a colleague. Health visitors identified a need for training to enable them to increase their knowledge about Down syndrome and better support families. In summary, a pilot training session about Down syndrome received positive feedback from health visitors, and led to improvements in knowledge and understanding about Down syndrome. This has the potential to improve health outcomes for children with Down syndrome.Peer reviewe

Route Fatality Risk as a Measure of Travel Death Risk

The authors examine the route fatality Risk of routes in Erie County, PA and show that some pose a disproportionately high-Risk to users. They argue that transportation safety could be greatly increased by relatively small expenditures and suggest that the most cost-effective Risk amelioration is speed limit control

HOUSEHOLD EXPENDITURE ON MEAT VERSUS NONMEAT SOURCES OF PROTEIN IN THE UNITED STATES

Food Consumption/Nutrition/Food Safety,

The Index of Dirac Operators on Incomplete Edge Spaces

We derive a formula for the index of a Dirac operator on a compact, even-dimensional incomplete edge space satisfying a "geometric Witt condition". We accomplish this by cutting off to a smooth manifold with boundary, applying the Atiyah-Patodi-Singer index theorem, and taking a limit. We deduce corollaries related to the existence of positive scalar curvature metrics on incomplete edge spaces