BIMERR renovation

THE OVERARCHING STORY

Selection _ Preparation

1 | RENOVATION PROJECT SELECTION AND PREPARATION​

 The starting point on the BIMERR renovation pathway includes the collection of information about the building to be renovated: characteristics, point clouds, images, and candidate renovation measures. 

At this step, the project manager confirms whether the BIMERR renovation process models’ templates and material & components database are complete enough to cover the specific renovation study. 

If not, the PWMA Process Modelling and RenoDSS tools can be used to enrich the templates and database respectively, with data that would be requested to seamlessly perform the renovation study. 

Based on the building characteristics, the Wireless Sensor Network (WSN) design and installation at the building under investigation is performed with the scope of gathering energy consumption, occupancy, temperature and other relevant data. 

This data will later feed the IFC model with the necessary building dynamic energy usage data that will contribute to a more accurate simulation building energy performance pre and post renovation 

Middleware endpoints are provided to access IoT data. Using the Middleware’s identity provider the users and clients’ registration to the specific renovation project are identified.

To ensure the necessary interoperability among the BIMERR components during the renovation steps, ontologies and data models from the BIMERR Ontology Network that capture all the data exchanged in a standardized way have been integrated into the BIMERR Interoperability Framework (BIF). The BIF acts as the backbone of the overall solution, serving as main data management and repository of the renovation project.

Collection of building information: characteristics, point cloud, images, potential renovation scenarios.
Renovation Project Selection
Collection of building information: characteristics, point cloud, images, potential renovation scenarios.
Baseline, passive and active measures data collection.
Material & Components Database
Baseline, passive and active measures data collection.
BPMN templates generation to capture all steps of a renovation project.
Process & Workflow models
BPMN templates generation to capture all steps of a renovation project.
Installation of IoT devices to acquire sensing, monitoring and metering data.
WSN Design / Installation
Installation of IoT devices to acquire sensing, monitoring and metering data.
Keycloak: Renovation projects creation - users and clients' registration. WoT, SenML: Endpoints for providing IoT static configuration and historical data.
Middleware
Keycloak: Renovation projects creation - users and clients' registration. WoT, SenML: Endpoints for providing IoT static configuration and historical data.
Development of ontologies and data models to ensure interoperability.
BIMERR Ontologies & Data Models
Development of ontologies and data models to ensure interoperability.
Static Data Collection

2 | Collection of as-is building static data

Next step is to begin collecting the as-is static data (IFC data) of the building. 

Based on the point clouds acquired by laser-scanners in the previous step, the first version of the IFC file is semi-automatically generated by the BIM modeler using the algorithms of BIMERR Scan-to-BIM tool. This first version includes information about the building elements – slabs, walls, windows, doors, etc. 

The IFC is further enriched with MEP components (detected by Machine Learning algorithms applied on targeted images previously captured on site) as well as 2nd level space boundaries information, required for the building energy performance modelling and simulation. 

Alternatively, the BIM modeler can use commercial BIM authoring tools to design the BIM model and export it in IFC format, following the guidelines that have been created by the BIMERR consortium. 

BIM model design from scratch (alt to Scan-to-BIM).
BIM authoring tools
BIM model design from scratch (alt to Scan-to-BIM).
From point clouds to IFC; from images to detected HVAC components; 2nd level space boundaries; 1st step to static data capturing.
Scan-to-BIM
From point clouds to IFC; from images to detected HVAC components; 2nd level space boundaries; 1st step to static data capturing.
IFC Checklist

3 | IFC COMPLETENESS,
CORRECTNESS AND CONSISTENCY CHECK

Next step is to begin collecting the as-is static data (IFC data) of the building. 

Based on the point clouds acquired by laser-scanners in the previous step, the first version of the IFC file is semi-automatically generated by the BIM modeler using the algorithms of BIMERR Scan-to-BIM tool. This first version includes information about the building elements – slabs, walls, windows, doors, etc. 

The IFC is further enriched with MEP components (detected by Machine Learning algorithms applied on targeted images previously captured on site) as well as 2nd level space boundaries information, required for the building energy performance modelling and simulation. 

Alternatively, the BIM modeler can use commercial BIM authoring tools to design the BIM model and export it in IFC format, following the guidelines that have been created by the BIMERR consortium. 

IFC data semantic modelling, secure provisioning and collection.
BIF (Step 1)
IFC data semantic modelling, secure provisioning and collection.
IFC data completeness, correctness, consistency and enrichment (2nd level space boundaries) and BIF building data model population.
BIM-MP
IFC data completeness, correctness, consistency and enrichment (2nd level space boundaries) and BIF building data model population.
IFC data semantic modelling, secure provisioning and collection.
BIF (Step 2)
IFC data semantic modelling, secure provisioning and collection.
Set values to missing IFC properties that have been detected by BIM-MP.
ARIBFA
Set values to missing IFC properties that have been detected by BIM-MP.
IFC File Format Icon

1st Milestone reached

The asis building static data available in BIF (“Static Data Complete”)

Dynamic data collection

4 | Dynamic Building data collection

In this phase, dynamic data collection is implemented. 

IoT data from the wireless sensors previously deployed are mapped to the BIMERR Profiling Resident Usage of Building System (PRUBS) data model and Machine Learning algorithms generate models that mimic the occupant behaviour in regards to energy consumption elements. 

These occupant behaviour models are further enriched by input/feedback received directly from building occupants via the BIMERR Building Information Collection Application (BICA), a smartphone application enabling building residents to provide complementary information (such as notes and photos) to the already recorded building information in the BIM. 

At this point residents’ feedback is mainly used to improve the accuracy and performance of the trained occupant behaviour models. 

IFC data semantic modelling, secure provisioning and collection.
BIF (Step 3)
IFC data semantic modelling, secure provisioning and collection.
Middleware to PRUBS data model mapping; Retrieve IoT data; train occupant behavior models; populate obXML.
PRUBS
Middleware to PRUBS data model mapping; Retrieve IoT data; train occupant behavior models; populate obXML.
obXML data semantic modelling, secure provisioning and collection (mapping of obXML to occupancy data model).
BIF (Step 1)
obXML data semantic modelling, secure provisioning and collection (mapping of obXML to occupancy data model).
Occupants’ feedback on trained occupant behavior models (thermal comfort preferences).
BICA
Occupants’ feedback on trained occupant behavior models (thermal comfort preferences).
obXML-Icon

2nd Milestone reached

The as-is dynamic building data available in BIF (“Dynamic Data Complete”)

Evaluation

5 | Evaluation of alternative renovation scenarios

With the building’s as-is static and dynamic data collected in the BIF, the RenoDSS baseline input data requirements are met. 

BIMERR RenoDSS (Renovation Decision Support System ) is a web-based application of the BIMERR Solution capable of providing accurate estimations of the energy, cost, and environmental impact trade-offs of alternative renovation scenarios. 

The renovation planner logs into RenoDSS and receives the enriched IFC and obXML file for the candidate building to undergo the energy renovation. 

Simulations are run and the performance of the existing building is estimated as well as the performance of candidate renovation scenarios in terms of energy, comfort, LCC/LCA and urban KPIs calculation are evaluated. 

Based on the results, the renovation planner proposes and the client eventually selects the desired renovation scenario (combination of renovation measures) that will be applied. 

Details of the selected renovation scenario, including the modified/enriched IFC and the corresponding KPIs are sent back to BIF. 

obXML data semantic modelling, secure provisioning and collection.
BIF (Step 2)
obXML data semantic modelling, secure provisioning and collection.
Build a data query to retrieve obXML and IFC data from BIF.
BIF (Consumer - RenoDSS):
Build a data query to retrieve obXML and IFC data from BIF.
Baseline and candidate renovation scenarios performance evaluation; Energy, Comfort, Urban and LCC/LCA KPIs calculation; renovation scenario selection.
RenoDSS
Baseline and candidate renovation scenarios performance evaluation; Energy, Comfort, Urban and LCC/LCA KPIs calculation; renovation scenario selection.
Selected renovation scenario and corresponding Energy, Urban, LCC/LCA KPIs data semantic modelling, secure provisioning and collection.
BIF
Selected renovation scenario and corresponding Energy, Urban, LCC/LCA KPIs data semantic modelling, secure provisioning and collection.
energy-efficient-home

3rd Milestone reached

Renovation Design Process Complete (Energy, Urban, LCC/LCA KPIs calculated)

Simulation

6 | Renovation process simulated, implemented and monitored towards completion of project

Based on the selected renovation scenario (from the previous step) the respective renovation process model is selected and actual workorders are being defined using the PWMA for Managers tool by the Project manager. 

The detailed workorders issued for the specific renovation project are collected (in the BIF) and respective data queries are built in BIF to allow the PWMA apps for residents and workers to consume them. 

Here, residents and workers who login the PWMA app for residents and PWMA app for workers, receive (1) notifications about tasks that have been scheduled to take place in specific areas of the building and (2) health and safety alarms, if any, while the PWMA for workers is also used by the workers to report progress on each task assigned to them. 

In the meantime, the PWMA process simulation and formal verification tool runs simulations to estimate the time and cost KPIs of the renovation project. 

With the actual renovation works being monitored and time and cost KPIs being calculated the project is being implemented towards its timely completion. 

App for residents – notifications about tasks planned to take place in specific apartments; health & safety notifications.

PWMA

App for residents – notifications about tasks planned to take place in specific apartments; health & safety notifications.
App for workers – notifications about assigned tasks; tasks progress reporting.
PWMA
App for workers – notifications about assigned tasks; tasks progress reporting.
Processes simulation and formal verification – Time and Cost KPIs calculation.
PWMA
Processes simulation and formal verification – Time and Cost KPIs calculation.
Actual renovation works of the selected renovation scenario and corresponding Time and Cost KPIs data semantic modelling, secure provisioning and collection.
BIF
Actual renovation works of the selected renovation scenario and corresponding Time and Cost KPIs data semantic modelling, secure provisioning and collection.
calendar-icon

4th Milestone reached

Actual Renovation Works Monitoring (Time and Cost KPIS calculated)

Renovation project completed

as-is building information extraction & model population tool

renovation supporting tools (RenoDSS & PWMA toolkit)

bimerr interoperability framework

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