Naresuan University Journal
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    39887 research outputs found

    A changing market for PFI financing: evidence from the financiers

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    Responses to a questionnaire survey received from PFI financiers, and interviews with senior managers, show that as the credit crunch took hold banks became more risk averse. The prediction of Toms et al. that collusion between the state and the private sector might cease in the face of austerity does not appear to have occurred. Rather the state has intervened to benefit the private sector. We argue that two successive UK Governments intervened in the market to protect the role of private finance in PFIs but whether such interventions represent value for taxpayers’ money is a question for future research

    Stress tolerant transgenic plants over-expressing ascorbic acid and cell wall synthesis genes

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    Methods are provided for increasing plant growth rate, biomass and tolerance to stress by genetically engineering plants to contain and express a gene of the ascorbic acid synthesis-cell wall synthesis network (e.g. GlcUA reductase, GLOase or MIOX). Transgenic plants that are genetically engineered in such a manner are also provided

    Automated Demand Response From Home Energy Management System Under Dynamic Pricing and Power and Comfort Constraints

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    This paper presents a comprehensive and general optimization-based home energy management controller, incorporating several classes of domestic appliances including deferrable, curtailable, thermal, and critical ones. The operations of the appliances are controlled in response to dynamic price signals to reduce the consumer’s electricity bill whilst minimizing the daily volume of curtailed energy and therefore considering the user’s comfort level. To avoid shifting most portion of consumer demand towards the least price intervals, which could create network issues due to loss of diversity, higher prices are applied when the consumer’s demand goes beyond a power threshold level. The arising mixed integer nonlinear optimization problem is solved in an iterative manner rolling throughout the day to follow the changes in the anticipated price signals and the variations in the controller inputs while information is updated. The results from different realistic case studies show the effectiveness of the proposed controller to minimize the household’s daily electricity bill while preserving comfort level as well as preventing creation of new least-price peaks

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