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首页> 外文OA文献 >Investigation of Energy Demand Modeling and Management for Local Communities. Investigation of the electricity demand modeling and management including consumption behaviour, dynamic tariffs, and use of renewable energy.
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Investigation of Energy Demand Modeling and Management for Local Communities. Investigation of the electricity demand modeling and management including consumption behaviour, dynamic tariffs, and use of renewable energy.

机译：调查当地社区的能源需求建模和管理。对电力需求建模和管理的调查，包括消费行为，动态电价和可再生能源的使用。

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Various forecasting tools, based on historical data, exist for planners of national networks that are very effective in planning national interventions to ensure energy security, and meet carbon obligations over the long term. However, at a local community level, where energy demand patterns may significantly differ from the national picture, planners would be unable to justify local and more appropriate intervention due to the lack of appropriate planning tools.udIn this research, a new methodology is presented that initially creates a virtual community of households in a small community based on a survey of a similar community, and then predicts the energy behaviour of each household, and hence of the community. It is based on a combination of the statistical data, and a questionnaire survey. The methodology therefore enables realistic predictions and can help local planners decide on measures such as embedding renewable energy and demand management.udUsing the methodology developed, a study has been carried out in order to understand the patterns of electricity consumption within UK households. The methodology developed in this study has been used to investigate the incentives currently available to consumers to see if it would be possible to shift some of the load from peak hours. Furthermore, the possibility of using renewable energy (RE) at community level is also studied and the results presented. Real time pricing information was identified as a barrier to understanding the effectiveness of various incentives and interventions. A new pricing criteria has therefore been developed to help developers and planners of local communities to understand the cost of intervention. Conclusions have been drawn from the work. Finally, suggestions for future work have been presented.
机译：国家网络的规划者可以使用基于历史数据的各种预测工具，这些工具对于规划国家干预措施以确保能源安全并长期满足碳排放义务非常有效。但是，在当地的能源需求模式可能与国家的状况有显着差异的地方社区，由于缺乏适当的规划工具，规划人员将无法证明在当地采取更适当的干预措施是合理的。 ud在本研究中，提出了一种新的方法它首先根据对类似社区的调查在一个小社区中创建了一个虚拟的家庭社区，然后预测了每个家庭以及社区的能源行为。它基于统计数据和问卷调查的组合。因此，该方法可以进行现实的预测，并可以帮助当地规划人员确定诸如嵌入可再生能源和需求管理之类的措施。使用所开发的方法，进行了一项研究，以了解英国家庭的用电量模式。这项研究中开发的方法已用于调查当前可用于消费者的激励措施，以查看是否有可能将某些负荷从高峰时段转移出去。此外，还研究了在社区一级使用可再生能源的可能性，并提出了结果。实时定价信息被认为是理解各种激励措施和干预措施有效性的障碍。因此，已经制定了新的定价标准，以帮助当地社区的开发人员和规划人员了解干预的成本。从工作中得出了结论。最后，提出了对未来工作的建议。

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