Advanced Dynamic Energy Pricing and Tariffs (ADEPT)

这个项目解决了一个关键的研究问题，必须在短期内回答的是如何复杂，或者应该，动态电价？，使其为公众所接受，并为减少能源需求提供明确的促进和激励措施？“可以”和“应该”反映了这样一个事实，即任何普遍存在的技术系统（主要）都是由专家设计和实现的，但必须由非专家接受和操作。该项目着眼于如何利用智能电表的潜在信息，使配电网络运营商和客户都受益。我们寻求的是减少能源需求方面的最佳总体结果，而不是最佳的“工程解决方案”。对动态电价需求的驱动力是强大的：增加嵌入式发电，引入插入式电动汽车，减少国家发电能力，进一步增加中型和大型可变发电机，以及通过暂停商业和家用低优先级消费来短期减负荷的前景。该项目旨在发现对整个交互系统的理解。该项目将考虑到最近政府咨询和回应中概述的智能计量和基础设施选项。使用高性能计算为智能计量的大规模数据管理提供可扩展的解决方案尤其及时，因为它解决了咨询中提出的主要问题之一。作为一个国家，如果我们要降低整体能源需求，我们将不得不从化石燃料转向碳密集度较低的供应，并在所有可能的来源中优化我们的能源消费。这意味着电力需求可能会增加。与此同时，发电能力（无论通过何种方式）面临迫在眉睫的危机，因此我们必须更好地利用能源和构成基础设施的资产。电表是消费者和网络运营商之间的接口，因此原则上，智能电表可以管理和提供描述当时网络状态的所有信息。提高数据可用性将为用户和控制器带来好处-通过在最低操作级别接近实时地详细了解系统行为，网络运营商有更好的机会来平衡系统负载，并同时为消费者提供大大增强的机制来减少他们自己的电力需求。

This project addresses a crucial research question that must be answered in the near term is How complicated can, or should, a dynamic electricity tariff be? , such that it is accepted by the public and offers clear enhancements and incentives for reduction in energy demand? The 'can' and 'should' reflect the fact that any ubiquitous technical system is (primarily) designed and implemented by experts, but has to be accepted and operated by non-experts. This project looks at how the information potentially available from smart meters may be exploited to the advantage of both the distribution network operator and the customer. We are looking for the best overall outcome in terms of energy demand reduction, not the best 'engineering solution'. The driving forces towards the need for dynamic tariffs are strong: increased embedded generation, the introduction of plug-in electric vehicles, decreasing national generating capacity, further additions of medium and large scale variable generators, and the prospect of short-term load-shedding by suspending low priority consumption within commercial and domestic. This project aims to discover understanding of the whole interacting system. This project will take account of the smart metering and infrastructure options outlined in the recent Government consulation and response. Using High-Performance Computing to provide a scalable solution to large-scale data management for smart metering is especially timely as it addresses one of the main issues that was raised in the consultation. If, as a nation, we are to lower our overall energy demand, we will have to shift from fossil fuels to less carbon intensive supplies and optimise our energy consumption across all possible sources. This may mean that electricity demand may increase. At the same time, there is an imminent crisis in generating capacity (by whatever means), so we have to make significantly better use of the energy and the assets which make up the infrastructure. The meter is the interface between the consumer and the network operator, so in principle, a smart meter could manage and provide all of the information which describes the state of the network at that point at that time. Increasing data availability will bring benefits to both users and controllers - with detailed knowledge system behaviour in near-to-real-time at the lowest operational level, network operators have a better opportunity to balance the system load, and concurrently offer consumers much enhanced mechanisms for reducing their own power demand.