Update on Work Package 1

Requirements, framework and methodology to perform energy savings from data treatment by Sean Doran of BRE

WP1, which reached completion in 2016, has established a foundation for the subsequent work packages of the project.  The deliverables in WP1 include the following:

he first deliverable of WP1, D1.1, is a public report which provides a concise, bird’s-eye view of the HIT2GAP platform functionality and how HIT2GAP addresses the gap between the predicted performance and the actual performance of a building.

D1.2 focuses on the technical specification for the HIT2GAP data infrastructure, led by L’Université de Pau et des Pays de l’Adour in partnership with FISE and Abo Data. This work recognises the need to consider building data and sensors in conjunction with occupier needs and activities, and relevant environmental conditions, in order to facilitate the delivery of meaningful feedback on a building’s performance.  The task involved examination of the various existing data formats for describing building information, including both

semantic and non-semantic approaches, concluding that ‘Industry Foundation Classes’ (IFC) an international OpenBIM standard data format, developed by buildingSMART -  an open data exchange format ensuring interoperability between building information systems within the AEC industry, was appropriate for HIT2GAP.  IFC has limitations, but the experience that will be gained from trialling the project’s approach on test buildings in Warsaw, Paris, San Sebastian and Galway will provide a valuable test of the success of the data infrastructure.

This has led to a framework and methodology that will serve as the foundation for the next phase: mechanisms for acquiring and storing data and development of basic software architecture. 

D1.3 comprises technical specification of the dynamic, data-based and short-term forecasting functionality of HIT2GAP. This specification describes the technical requirements of the HIT2GAP modules that will be developed to convert relevant building data into consistent building energy models.  These will cover monitoring, fault detection, assessment, measurement and verification.  Firstly, the document provides a general description of the different data sources that may be available to be integrated into a platform.  Secondly, the document reviews the methodologies typically used for data driven energy modelling, and a review of models for fault detection and diagnosis (FDD) and energy forecasting.  The report also focuses on various methods for FDD and forecasting, examining fault detection and diagnosis, covering:

  • principal component analysis,
  • decision trees and
  • density-based clustering

It also examines energy forecasting:

  • multiple linear regression (MLR),
  • multilayer perceptron (MLP), and
  • support vector regression

Thirdly, the scenarios where FDD and forecasting tools can be applied are identified.

The scenarios related to Energy Management Systems and the application of ISO 50001 are explained. 

Finally, the technical specifications of the HIT2GAP modules are presented.


D1.4 - Although originally it was the intention of HIT2GAP to produce a specification for disaggregating end-use energy consumption, there has been a deviation from this.  According to the experience of partners' involved in Task 1.3, load disaggregation methods implementing strategies for non-intrusive appliance load monitoring require consumption data sampled at low sampling rates (one second or lower).  This would add the inconvenience of having to deploy specific metering systems operating at these higher sampling rates.  As HIT2GAP focuses on the whole, or specific areas, of building energy consumption rather than individual loads, it has been decided that instead of focusing on load disaggregation, efforts should be made to analyse and model user behaviour and normal operating consumptions in order to detect deviations, using commonly deployed metering infrastructures.  As HIT2GAP is conceived as an open platform any provider of specific modules addressing load disaggregation solutions can integrate these as external modules making use of HIT2GAP resources. This will enable energy loads to be assigned to purposes and is crucial for the provision of robust advice to building users. This task involved considering various scenarios where disaggregation could be applied. The conclusions from this will pave the way for robust energy disaggregation in both the final HIT2GAP product and in the project's four demonstration buildings.

D1.5 - is a technical specification of the energy modelling approach.  The proposed approach aims to isolate the most influential input parameters, and derive replacement values for them, which will lead to a better match between model predictions and observations.  It also aims to identify changes that would reduce the performance gap and options for improving performance.  Among the building performance simulation tools discussed in the report are: MODELICA, ESP-r, Renewable Energy Technologies (RET) and Simplified Building Energy Model (SBEM): the tools that will be applied to the four HIT2GAP pilot buildings.  The report includes a review of simulation-based services, consideration of Building Performance Simulation (BPS) functionality and implementation within HIT2GAP and a technical specification for the modules related to BPS.

D1.6 – EGE University, in collaboration with Eurecat, IK4-Tekniker and Apintech, has produced a specification for integrating the behaviour of building-users into HIT2GAP. This user-behaviour module which will ultimately become a part of the HIT2GAP framework takes into account the relationships between occupant behaviours and buildings, the existing state-of-the-art tools, methods and products and the ambition of the project. The completion of this task will enable the development of subsequent work on occupancy, including analysis of key occupancy-related factors, integration of use patterns, occupants’ behaviour and development of an ontology for understanding building-user behaviour. This building-occupier ontology will include:

  • a physical context, covering locations and times,
  • an environmental context, covering weather, light and sound levels,
  • a personal context, covering health, mood, schedule and activity, and
  • a social context, covering group activity and social/working relationships.

D1.7 - led by the Fraunhofer Institute with support from other partners, a technical specification for the HIT2GAP display modules has been developed. As a result, advanced display modules will provide the required visualisation and user-feedback to enable building-users to respond to save energy. In developing these specifications, partners considered modules that are used elsewhere, plus typical user needs in buildings and examples of industry best practice. Four data-display modules were defined, including energy- and facility- management, a building-occupant and a 3D-visualisation module. The progress made amounts to a specification that will underpin the development of the innovative display modules at a later stage in the project.

D1.8, the project's Data Management Plan, prepared by Nobatek, is expected to evolve during the lifetime of the project, providing information about the data collected and generated by the project, whether and how this dataset will be shared and how the data will be preserved.  An updated version of the D1.8 has recently been submitted to the EC.

Through Eurecat, in collaboration with several other project partners, a proposed HIT2GAP methodology has been synthesised, as D1.9, and it is now envisaged that H2G systems will expand to encompass the following:

  1. Alternative sensors and meters, including smart phones
  2. Predictive maintenance;
  3. Behaviour and comfort of occupiers;
  4. Continuous evaluation of energy performance;
  5. Integration between energy demand and energy supply;
  6. Adaptation of visualisation interfaces to cater for specific user needs, to ensure the effective delivery and presentation of information to building use

To achieve this, HIT2GAP systems will include the following key software components:

  1. Forecasting of power consumption loads;
  2. Fault detection and diagnosis;
  3. Assisting building users in identifying and minimizing energy wastage;
  4. Economical provision of thermal comfort through multiple setpoint control;
  5. Detailed review of energy use data;
  6. Improved performance simulation and in-use calibration;
  7. Sensitivity analysis – to enhance reliability of data;
  8. Decision support for renewable energy devices.

The overarching objectives of the above software components will lead to a treatment of data which will enable information to be analysed and tailored for a variety of building users through a process involving real-time collection of data relating to people, energy and environments to enable simulation of scenarios, provision of essential information and visualisation of data which can easily be interpreted by those receiving it. 

This can be illustrated as follows: