DIM for Energy Saving Flashcards
Explain the concept of DIM? Explain the difference between BIM and DIM, also as
relevant to LOD
District Information Modeling (DIM) is a holistic approach to managing, planning, and optimizing urban areas through the integration of various digital data sources (such as GIS, infrastructure and socio-economic) and technologies. DIM focuses on the broader scope of a district, which includes multiple buildings, infrastructure systems and public spaces
BIM is essential for the detailed design and management of individual buildings, while DIM provides a broader framework for managing and planning entire districts or urban areas. Both methodologies leverage digital technologies to enhance efficiency, collaboration, and decision-making in their respective domains.
Describe the gbXML standard
The gbXML (Green Building XML) standard is an open schema developed to favor the exchange of building information related to energy analysis and building performance simulation. It provides a standardized format for representing building geometry, spaces, zones, and other relevant data necessary for energy modeling and analysis.
Describe the main differences between IFC and gbXML standards.
While IFC covers a broader range of building information, gbXML focuses specifically on data relevant to energy analysis and simulation, making it more suitable for energy-focused use cases during the design phase of building projects.
Data Model: IFC defines a comprehensive data model that covers various aspects of building information, including geometric representation, spatial relationships, properties, classifications, and more.
Data Model: gbXML focuses primarily on building geometry, spaces, zones, HVAC systems, and materials relevant to energy analysis and simulation.
Describe the difference between a physical (BIM) and an analytical (EAM) dataset.
A physical dataset in BIM primarily represents the physical aspects of a building or infrastructure project, including its geometric, spatial, and non-spatial properties.
An analytical dataset in Energy Analysis Modeling (EAM) focuses on capturing data relevant to energy performance, thermal behavior, and environmental impacts of a building design.
The physical dataset emphasizes the physical attributes and properties of building elements, whereas the analytical dataset emphasizes energy-related parameters and simulation inputs required for energy analysis.
How can DIM be used to integrate different data domains? Describe the process as
relevant to the DIMMER project.
DIM serves as a powerful framework for integrating different data domains related to built assets and urban environments, enabling semantic interoperability, data fusion, multi-reality visualization, collaborative platforms, and decision support systems.
- Unified Data Model
- Semantic Interoperability
- Data fusion and fusion services
- Visualization and Interaction
- Collaborative Platforms
- Decision support Systems
he DIMMER platform is the place where the integration happens. This common
platform aims to optimize the data sharing for energy saving, collecting and providing
data on the single buildings and the district as a whole, including information on their
energy requirements. The core of DIMMER project is the DIMMER platform, a
middleware able to simultaneously handle data from different heterogeneous
domains
Describe the method for validating models used in the DIMMER project.
Achieved through the calibration of the model. This means that the
validation needs an iterative process of comparing the model to the
actual system behavior, performing a quality assessment on the model
itself.
The models are calibrated by comparing the results of the
simulations with the real data of the consumptions and the indoor
temperatures, monitored by sensors and meters installed in the
buildings selected as case studies.
