Bringingaccesstomodernenergysourcestothepoorestinsocietyisakeygoalofmanypolicymakers,businesses andcharities,butinorder tobea success projects and schemesmust be foundedonaccuratedata. We undertook a survey of energy demand and usage patterns in households in unelectri fi ed villages in Uttar Pradesh, India to assess access to and utilisation of energy sources for lighting and cooking. The times of usage were recorded and analysed and the effect on usage patterns of transitioning from traditional to modern energy sources is assessed. We quantify the cost and greenhouse gas emissions of current energy use in order to provide a benchmark of potential mitigation through the use of renewable energy technologies: a typical household with kerosene lamps only for lighting spends INR 3243 (US$50.67) and emits 381 kgCO 2eq per year; households withmoderncookingenergyspend17%morethroughincreasedusage,butemit28%lessgreenhousegasescom- pared to those with traditional stoves only. Cell phone ownership was found to be 50% amongst adults. We use demographic and utilisation data to construct an hourly demand pro fi le of basic electricity demand extrapolated to each month of the year, and present an example of aspirational demand assess the impact of desirable appli- ances. A Monte Carlo simulation is used to highlight the daily and seasonal variation in total energy and power demand. A hybrid system, with solar power and battery storage meeting daytime demand and higher-capacity diesel- or biomass-powered generation meeting the remainder during evening peaks and winter months, would satisfy demand most effectively
Psychiatrists, on recall of recent cases, perceive DDI events to be frequent in patients starting a new OAA therapy. While there appears to be some awareness of DDI-related issues among psychiatrists, this survey of psychiatrists perceptions suggests the need for systematic tracking of OAA-related DDI events and additional psychiatrist training on optimal OAA choice to prevent DDIs.
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