3 resultados para Bioaccumulation and certain physiological responses of Perna spp exposed to Petroleum Hydrocarbons


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This paper provides an introduction to issues surrounding the participation rights of young people in research and the implications of their growing involvement in research as well as providing a discourse on the ethical implications related to consent. The unique contribution of this paper is that it considers children’s rights in respect to the increasing opportunities for young people to take part in evaluation research. The aim of this paper, therefore, is to acknowledge the growing involvement for young people in research and the implications of ensuring that their rights of participation are respected. Secondly we will consider the children’s rights legislation and our obligations as researchers to implement this. Finally we will explore consent as an issue in its own right as well as the practicalities of accessing participants. This paper will postulate that any research about young people should involve and prioritise at all stages of the research process; including participation in decision-making. We conclude by identifying five key principles, which we believe can help to facilitate the fulfilment of post-primary pupils’ ability to consent to participate in trials and evaluative research.

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This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

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This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.