A Dynamic and Controllable Building Stock model: to identify the quantity of energy flexibility present in UK homes.

动态且可控的建筑存量模型：确定英国家庭中存在的能源灵活性数量。

• 批准号: 2299756
• 金额: --
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2299756
• 关键词: Dynamic; Controllable; Building; Stock; model

The proposed transition from gas to electrified heating for dwellings in the UK, has a problem. There is not enough peak capacity in the UK's electrical grid to accommodate this new demand, due to differences in daily supply and demand profiles. National Grid (GB) and UK Government have recognised this issue and are seeking ways to mitigate peaks in electrical demand. One approach to reduce this impact on the grid is to use Demand Side Response (DSR), this is where peaks in demand are anticipated and demand, where possible, is reduced for a duration of time. National Grid (GB) expects DSR will be required in some form in their predicted future energy scenarios. This research aims to identify the potential reduction in peaks of demand possible through temporary reduction in space heating in electrically heated dwellings (by direct electric and air/ground source heat pumps), whilst keeping occupants comfortable. This will indicate the potential energy flexibility available in UK dwellings. What can be provided by their current fabric and controls, and what level of fabric retrofit is required for a dwelling to provide energy flexibility. This energy flexibility in homes will be identified by creating a dynamic and controllable model based on the common house types in the UK, and then applying DSR for various periods of time. This will be achieved by using house types from the English Housing Survey in association with Modelica Building Library associated with Dymola modelling tools.As part of the research, a new validation method for national scale heat load models will be created, by determining suitable metrics for quantifying and characterizing energy flexibility in houses. To achieve this, data will be collected to calibrate and validate the model and provide data for future research in DSR.Associated ESPRC research areas:Built EnvironmentEnergy NetworksEnd Use Energy Demand (Energy Efficiency)Energy Storage

在英国，提议的从天然气到电气化供暖的过渡有一个问题。英国电网没有足够的峰值容量来满足这一新的需求，这是由于日常供应和需求情况的差异。英国国家电网（GB）和英国政府已经认识到这个问题，并正在寻求缓解电力需求峰值的方法。减少对电网的这种影响的一种方法是使用需求侧响应（DSR），这是预期需求的峰值，并且在可能的情况下，在一段时间内减少需求。国家电网（GB）预计在其预测的未来能源情景中将以某种形式需要DSR。本研究旨在确定通过暂时减少电加热住宅（通过直接电力和空气/地源热泵）的空间加热，同时保持居住者舒适，可能减少需求高峰的可能性。这将表明英国住宅的潜在能源灵活性。他们目前的织物和控制可以提供什么，以及住宅需要什么程度的织物改造来提供能源灵活性。这种家庭能源灵活性将通过创建一个动态的和可控的模型，在英国常见的房屋类型的基础上，然后应用DSR的不同时间段来确定。这将通过使用英国住房调查中的房屋类型以及与Dymola建模工具相关的Modelica建筑库来实现。作为研究的一部分，将通过确定用于量化和表征房屋能源灵活性的合适指标，为全国范围的热负荷模型创建一种新的验证方法。为了实现这一目标，将收集数据来校准和验证模型，并为DSR的未来研究提供数据。相关的ESPRC研究领域：建筑环境能源网络最终使用能源需求（能源效率）储能