448 research outputs found

    The risk of residential peak electricity demand: a comparison of five European countries

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    The creation of a Europe-wide electricity market combined with the increased intermittency of supply from renewable sources calls for an investigation into the risk of aggregate peak demand. This paper makes use of a risk model to assess differences in time use data from residential end-users in five different European electricity markets. Drawing on the Multinational Time-Use Survey database, it assesses risk in relation to the probability of electrical appliance use within households for five European countries. Findings highlight in which countries and for which activities the risk of aggregate peak demand is higher and link smart home solutions (automated load control, dynamic pricing and smart appliances) to different levels of peak demand risk

    In vivo imaging enables high resolution preclinical trials on patients' leukemia cells growing in mice.

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    Xenograft mouse models represent helpful tools for preclinical studies on human tumors. For modeling the complexity of the human disease, primary tumor cells are by far superior to established cell lines. As qualified exemplary model, patients' acute lymphoblastic leukemia cells reliably engraft in mice inducing orthotopic disseminated leukemia closely resembling the disease in men. Unfortunately, disease monitoring of acute lymphoblastic leukemia in mice is hampered by lack of a suitable readout parameter

    Nonlinearity-induced photonic topological insulator

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    The hallmark feature of topological insulators renders edge transport virtually impervious to scattering at defects and lattice disorder. In our work, we experimentally demonstrate a topological system, using a photonic platform, in which the very existence of the topological phase is brought about by nonlinearity. Whereas in the linear regime, the lattice structure remains topologically trivial, light beams launched above a certain power threshold drive the system into its transient topological regime, and thereby define a nonlinear unidirectional channel along its edge. Our work studies topological properties of matter in the nonlinear regime, and may pave the way towards compact devices that harness topological features in an on-demand fashion

    State Capacity and the Environmental Investment Gap in Authoritarian States

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    We construct an n-period, constrained optimization model where the authoritarian ruler maximizes expected rents subject to budget constraint of available surplus. We show that the larger state capacity is in the previous period, the worse environmental quality will be in the next period: while infrastructural investment and environmental protection increase with state capacity, the former increases at a faster rate which enlarges the gap between the two?the environmental investment gap. Given infrastructural public goods typically damage the environment, the larger this gap is the worse the environmental quality would be. This follows from rulers? optimizing logic of equating marginal returns once we assume the declining marginal productivity of factors of production of surplus. We model three types of air and water pollutants in autocracies as a function of state capacity and other relevant variables. State capacity is associated with higher levels of all three types of pollutants

    Improving the visibility of energy use in home heating in England: Thermal images and the role of visual tailoring

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    publisher: Elsevier articletitle: Improving the visibility of energy use in home heating in England: Thermal images and the role of visual tailoring journaltitle: Energy Research & Social Science articlelink: http://dx.doi.org/10.1016/j.erss.2016.01.005 content_type: article copyright: Copyright © 2016 Elsevier Ltd. All rights reserved

    Public perceptions of demand side management and a smarter energy future

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    Demand side management (DSM) is a key aspect of many future energy system scenarios1,2. DSM refers to a range of technologies and interventions designed to create greater efficiency and flexibility on the demand side of the energy system3. Examples include the provision of more information to users to support efficient behaviour and new ‘smart’ technologies that can be automatically controlled. Key stated outcomes of implementing DSM are benefits for consumers, such as cost savings3, 4 and greater control over energy use. Here, we use results from an online survey to examine public perceptions and acceptability of a range of current DSM possibilities in a representative sample of the British population (N = 2441). We show that, whilst cost is likely to be a significant reason for many people to uptake DSM measures, those concerned about energy costs are actually less likely to accept DSM. Notably, individuals concerned about climate change are more likely to be accepting. A significant proportion of people, particularly those concerned about affordability, indicated unwillingness or concerns about sharing energy data, a necessity for many forms of DSM. We conclude substantial public engagement and further policy development is required for widespread DSM implementation

    The electric commons: A qualitative study of community accountability

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    This study explores how energy might be conceptualised as a commons, a resource owned and managed by a community with a system of rules for production and consumption. It tests one aspect of Elinor Ostrom's design principles for successful management of common pool resources: that there should be community accountability for individual consumption behaviour. This is explored through interviews with participants in a community demand response (DR) trial in an urban neighbourhood in the UK. Domestic DR can make a contribution to balancing electricity supply and demand. This relies on smart meters, which raise vertical (individual to large organisation) privacy concerns. Community and local approaches could motivate greater levels of DR than price signals alone. We found that acting as part of a community is motivating, a conclusion which supports local and community based roll out of smart meters. Mutually supportive, voluntary, and anonymous sharing of information was welcomed. However, mutual monitoring was seen as an invasion of horizontal (peer to peer) privacy. We conclude that the research agenda, which asks whether local commons-based governance of electricity systems could provide social and environmental benefits, is worth pursuing further. This needs a shift in regulatory barriers and ‘governance-system neutral’ innovation funding
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