Fast Start Grant NZ Retrofit Performance Analysis

我们开发的解决方案降低了改造住宅物业的风险，并在减少碳排放和居民舒适度成本方面未能实现预期结果。住宅物业的能源使用占英国温室气体排放的20%。该行业的减排将主要通过改造英国现有的3000万户家庭来实现。物业装修的平均成本为3万英镑，需要超过40个工作日才能进行必要的改进。一些要求已经公布，但要实现净零排放，未来28年将需要大量投资。改造对业主和居民来说风险很高。工作不足的成本可能包括潮湿和过热的房屋以及燃料贫困者的燃料成本增加。目前评估改造的标准是弱PAS 2035\。它基于对装置的目视检查，没有经验数据收集和分析的支持。它未能确定只有在较长一段时间内才会出现的问题，如潮湿和过热。在改造部门，人们普遍对改造协调员是否有能力通过在单个时间点进行目视检查并考虑有限的水电费来评估物业是否已正确改造感到困惑和担忧。我们提出的方法比PAS 2035\规定的方法更准确，更强大，更具成本效益。这是一个数据主导的评估，使用物业监测结合人工智能分析对单个住宅进行改造的效果。通过测量和分析温度、湿度、二氧化碳水平和能源使用等参数，可以更好地确定能源效率和改造性能，业主可以确信是否已实现所需的结果，包括：* 碳排放的实际减少 * 居民的舒适度成本和生活能量消耗 * 过热和过热的发生 * 潮湿的风险 * 居民对他们的低碳住宅的“易用性”为了使用这种监测方法，需要有用于传感器、方法数据交换和认证，使评价具有可靠性、意义和可比性。该提案旨在规定一个标准化框架，用于使用监测数据评估住宅建筑改造。

The solution that we have developed reduces the risk of retrofitting domestic properties and failing to achieve the desired outcome in respect of reduced carbon emissions and cost of comfort for the resident.Energy use from domestic properties accounts for 20% of UK greenhouse gas emissions. Reductions in emissions from this sector will be achieved largely by retrofitting most of the existing 30 million homes in the UK. The average cost of property refit is £30k and requires in excess of 40 labour days to make the necessary improvements. Some requirements have already been announced, but for net zero to be delivered more are set to come which will require enormous investment over the next 28 years.Retrofitting holds high risk for property owners and residents. The cost of inadequate work can include damp and overheated homes and increased fuel costs for those in fuel poverty.The current standard for assessing retrofits is the weak PAS 2035\. It is based on visual inspection of installations unsupported by empirical data gathering and analysis. It fails to identify issues that would only appear over a longer period of time such as damp and overheating. There is widespread confusion and concern in the retrofit sector about the ability of a retrofit coordinator to assess if a property has been retrofitted correctly by visual inspection at a single point in time and considering a limited amount of utility bills.Our proposed approach is significantly more accurate, robust and cost effective than that prescribed by PAS 2035\. It is a data led evaluation of the efficacy of retrofit on an individual dwelling using property monitoring combined with AI analysis. By measuring and analysing parameters such as temperature, humidity, CO2 levels and energy use the energy efficiency and retrofit performance can be better determined and the landlord can be confident as to whether the required outcome has been delivered including:* actual reduction in carbon emissions* cost of comfort for the resident and live energy consumption* occurrence of underheat and overheat* risk of damp* residents 'ease of use' of their low carbon homeIn order to use such a monitoring approach there needs to be a standardised framework for the sensors, methods, data exchange and certification so that the evaluations are robust, meaningful and comparable. This proposal is to specify such a standardised framework for the evaluation of domestic building retrofit using monitoring data.