H2020 ACCEPT project: D2.2 – PMV Methodology definition and impact assessment handbook

Since it is not possible to directly determine the magnitude of energy savings after the implementation of energy efficiency measures, this estimate must be made by comparing a predictive model (system behavior without the improvements) and the data received from the field (with the improvements). The methodology that allows this comparison is known as Measurement and Verification (M&V) and this document serves as a guide for the work packages and subsequent tasks to best define the M&V scheme in each case. Starting with a brief historical overview of these methodologies, we identify them as tools that were born in the industrial sector, as technology made it easier to implement sensors, data networks, storage and processing of information, the field of M&V schemes became wider and eventually reaching into the area of smart energy networks, where it plays an important role in measuring the impact of the different developments. In the specific case of European projects, there are already a considerable number of projects where the M&V methodology has been adapted. On this basis, the scheme proposed in the “International Performance Measurement and Verification Protocol “ (IPMVP) has been adapted to the ACCEPT project, thus identifying the essential characteristics of the methodology, which can be grouped as follows: • Meter installation calibration and maintenance • Data gathering and screening • Development of a computation method and acceptable estimates • Computations with measured data • Reporting, quality assurance, and third-party verification of reports Throughout this document we will provide the tools for these aspects to be identified and evaluated in the corresponding stages of the development of the solutions. Also, a series of KPIs will be proposed, so that specific aspects of the development and influence of the ACCEPT solutions can be measured, this will be accompanied by a preliminary plan that will indicate the stages and times for the collection and processing of the results, finally a contingency plan is shown with the objective of providing alternatives to the appearance of problems with the calculation of the KPIs in later stages