NEN 2767 PDF


PDF | Purpose – This paper aims to provide insight into the use of a standard for NEN (), NEN Conditiemeting van bouw- en. Dutch standard NEN The Dutch standard for assessment of buildings' condition was published in (NEN ). This standard has three parts. (1) Methodology (NEN, ). (3) Aggregation methodology (NEN, ). .. NEN (), NEN Conditiemeting van bouw- en installatiedelen – Deel 1.

Nen 2767 Pdf

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download NEN Condition Assessment Of Building And Installation Components - Part 1: Methodology from SAI Global. assessment. The condition will be determined according to NEN according to NEN 'Thermal insulation of buildings - Calculation methods'. conservation status of the construction elements, facilities and equipment. Of the various existing methodologies, the Dutch standard NEN (NEN, ).

The model basically suggests an explicit separation of the building systems including concepts and components and their performative attributes. The building systems are represented with a rigid hierarchy in the object model, while the performance indices can be arbitrarily coupled with the components they belong to.

Details and examples will be given in the next section. Climate Installations Module Performance of climate systems is a primary concern in building projects, since the electrical energy consumption in HVAC is the highest percentage among all building services installations and electric appliances Fong et al.


So this research focuses mainly on climate systems. A holistic component-based approach is applied for the modeling of building systems, based on the performative behaviors of components.

The model aims to bring together all possible installation variations in a systematic manner to achieve a complete and comprehensive component model. For the clarity of the hierarchy, climate system concepts should be explicitly represented with the Concept class.

Concepts can be decomposed further. Moreover, all building components in the object model extend the generic Component class.

Both the Concept and Component classes are high-level entities and allow other instances of the same type be defined as a part of themselves. Performance indicators are directly associated with the Components. The component-based modeling approach allows the accurate representation of the topology of the system. A product is usually composed of its sub-parts that make up a whole.

These parts can further be disassembled into other products that can no further be decomposed. This requires the specification of all possible existing variations which alternate or compliment other solutions. The third way is by linking two components within different modules for component-based integration of these modules. These three topology representations can be symbolized by composition, generalization and association relationships respectively Figure 1.

The hierarchical relationships between model entities Composition relationships represent a part-whole association. Almost every climate system component is composed of many sub-components. Although this might seem inconvenient for the complete dependence of subcomponents on the composite main component, it is important for maintaining the accurate topological connectivity.

While, in theory each physical entity can be decomposed into its smallest parts, for the purposes of this model, only the level to which the sub-component is meaningful in terms of its functional performance is considered. In modeling advanced AEC processes, extensive descriptions of objects lead to unnecessary model complexity, and pose serious difficulties in comprehensibility and maintenance.

In this respect, generality versus granularity of the model is a trade-off. Therefore, it is necessary to limit the decomposition to the point that the sub-component is no longer significant to the whole building performance. Generalization relationships allow the grouping of various types and categories under an embracing parent type for the creation of objects based on a parent class. In this way, the attributes, behaviors and relationships of the parent class are inherited by the children classes, and the children classes can enclose their own specific properties additionally.

There are two levels of generalization relationships in the model: For example, heating systems include heat pump systems, electrical heating systems, boiler systems, geothermal energy, fuel cell systems, solar collectors, etc.

The component generalization extends on systems and describes the various alternatives of component assemblies within systems. Although this type is not as significant as the concept generalization, it is still important to depict the variations of component assemblies explicitly.

Association relationships are set between components belonging to different concepts, and enable the component-level integration of these concepts. An example is the room — air handling unit AHU relationship. In this way, the room component in the building envelope module and the AHU component in the climate installations module can be mapped to each other. Another example within the climate installation module is the link between the Radiator class and the Boiler class, which have an operational relationship although not physically connected.

Association relationship violates the hierarchy suggested by the previous relationship types, and makes the overall topology structure a network. Issues on model structure and visualization are discussed elsewhere Gursel et al.

Other aspects that are crucial to the model such as energy consumption and fire safety are representable in a component based approach, by tagging the related component classes.


Similarly, the interfaces between components and building spaces can be expressed by different types of associations. Performance Indices The performative features of the components are called performance indices PIs in the model. PIs appear as separate classes rather than local attributes of the components.

Attempting to achieve a comprehensive set of PIs is proven to be obsolete, considering the fact that technologies of climate installations change often and assessment approaches of different buildings vary greatly.

Moreover, by time, existing performance assessment procedures can be modified to focus on identifying the current problems that are not, initially, completely addressed. These issues hinder the approach in which the performative aspects are all controlled and unchanging. The model gives the users flexibility in the creation and manipulation of PIs, with respect to the particular instance of building that the model is applied to.

The component performative behavior can be elaborated to the extent that it is required by the users. There are two main types of PI classes in the model: Static PIs are requirements and specifications, and dynamic PIs are measurements, inspections and corrections.

Requirements are the qualitative aspects that are captured during earlier phases of design, and lead to the quantification of the subjective features into realistic values, in specification and measurement PI types.

The three key commissioning activities that assess the system performance are represented with the dynamic PIs, being inspection tests inspections , functional performance tests measurements and corrective activities corrections. Inspection tests verify that components and controls are installed as specified.

Functional performance tests assess whether the installed systems perform adequately, controls are properly calibrated and have correct control sequences Wray et al Dynamic PIs have benchmark values to verify performance against.

Benchmarks can be either a set of criteria documented as the design intent, or norms and regulations that specify the requirements for optimum performance. Measurements contain the numeric values for benchmarking, whereas inspections and corrections consider a range of values appraising the degree to which the PI fulfills the stated objective.

The measured values belonging to dynamic PIs are represented as the Behavior class, and can be appended to the related PI.

The Behavior class contains the measured value and the time of measurement. Figure 2. While the requirement PI type is concerns qualitative performative aspects, it only has a name and description. With PI types that assess a benchmark value, such as a measurement or inspection, additional class attributes such as design value, minimum and maximum acceptable values and unit are required.

For the measurement PI type, the Behavior object takes the design value for evaluation. Evaluation on Flexibility and Extendibility The proposed model extends the previous modeling efforts by the authors to develop a digital environment for continuous performance verification and data integration of indoor climate and related mechanical components.

The approach of providing an object-oriented view of performative building systems and corresponding performance data as proposed by the authors is adopted in the development of this proposed model Gursel et al.

Both models contain a discrete taxonomy of physical building components, the performance attributes relating to each component, and an explicit separation of the components and performances for flexibility. Also, the initial model adopts a more generic approach towards products and processes. HBS is a systematic way of describing and specifying buildings and systems by means of standard elements within a hierarchical structure.

The element taxonomy in HBS is identified in four levels, being processes, functions, systems and elements. This structure is translated into the object model that we developed with generalization relationships.

The concepts that are vital for RGD, such as energy and fire safety, are also integrated into the model by tagging component classes.

These relationships do not only describe the physical topology, but also describe how some entities relate to each other operationally. Although initially not included in the model, there is prospect to integrate the BOEI inspection procedures into the existing model structure. BOEI is also a component- centric process during which large amounts of inspection data is created.


The outputs of BOEI are an evaluation of the condition of the component, an estimation of its remaining lifespan, and the cost attached to these activities. Linking BOEI processes and data to the commissioning model is necessary to achieve a complete description of the overall performance of building and systems.

The model has a rigid hierarchy of physical components and a flexible set of performance indices. Some constraints on associating model entities in order to build a correct and accurate instance are planned to be added in the next steps.

Other future work includes the implementation of the model to develop a digital tool. The final product is believed to provide a seamless performance data flow across facility stakeholders throughout the building lifecycle. The first author also extends her gratefulness to Prof. Omer Akin for his invaluable feedback and support to this project.

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Google Scholar Quinn, J. Google Scholar Ritter, R. Google Scholar Rondeau, E. Google Scholar Sievert, R. Google Scholar Straub, A. Google Scholar Teicholz, E. Google Scholar References for Section 5. Google Scholar Caccavelli, D. EN Maintenance terminology. CEN, Brussels. Google Scholar Chapman K. Damen Consultants, Rotterdam.These issues hinder the approach in which the performative aspects are all controlled and unchanging.

Related Papers. These two strategies have many overlaps in scope, which in practice leads to data repetition and redundancy. Maintenance crew replacing expired sealant using high quality GE brand building sealant between the marble floor and glass wall.

There were broadly classified as dry wood termites and subterranean termites. In modeling advanced AEC processes, extensive descriptions of objects lead to unnecessary model complexity, and pose serious difficulties in comprehensibility and maintenance.

Although moulds, lichens and other growths are seldom destructive, nevertheless they tend to disfigure and stain the brickwork.

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