Solar Facade Ontological Model

Introduction

A solar façade system, also known as a Building-Integrated Photovoltaic (BIPV) façade, integrates photovoltaic modules into the building envelope. It generates electricity while serving as a protective and architectural component.

Main Functions:

1. Electricity Generation

2. Building Protection

3. Solar and Light Control

4. Monitoring and Maintenance

5. Architectural Integration

Main Components:

  1. PV Module Layer
  2. Support Structure
  3. Electrical System
  4.  Control & Monitoring
  5.  Thermal / Insulation Layer
  6. Maintenance & Access

System Decomposition:

Physical: PV modules, support structure, insulation, wiring, monitoring.

Functional: Energy generation, protection, solar control, monitoring.

Logical: Concepts like SolarFacadeSystem, PVModule, Sensor, Inverter, and relations such as hasComponent and monitoredBy.

The ontology development followed Noy & McGuinness (2001) steps: define scope, list terms, structure classes, define properties, create instances, and test with a reasoner.

Logical AxiomConcrete examples
SubClassOf (A ⊑ B)AC_Cabeling ⊑ Wiring_and_Cabling
SubClassOf (A ⊑ B)Acoustic_Insulation ⊑ Insulation_Layer
SubClassOf (A ⊑ B)Acoustic_Performance ⊑ Performance_Attribute
SubClassOf (A ⊑ B)Adhesives ⊑ Fastener_and_Connectors
SubClassOf (A ⊑ B)Air_Gap ⊑ Sub_Structure
SubClassOf (A ⊑ B)Aluminium ⊑ SolarSystemMainMaterial
SubClassOf (A ⊑ B)Anchorage_Points ⊑ Support_Frame
SubClassOf (A ⊑ B)Arid ⊑ Climate_Zone
SubClassOf (A ⊑ B)Backing_Sheet ⊑ Super_Structure
SubClassOf (A ⊑ B)Bolts ⊑ Fastener_and_Connectors
SubClassOf (A ⊑ B)Brackets ⊑ Support_Frame
SubClassOf (A ⊑ B)Building_Type ⊑ Enviromental_Context
SubClassOf (A ⊑ B)Bypass_Diode ⊑ Super_Structure
SubClassOf (A ⊑ B)Clamps ⊑ Fastener_and_Connectors
SubClassOf (A ⊑ B)Climate_Zone ⊑ Enviromental_Context
SubClassOf (A ⊑ B)Cold ⊑ Climate_Zone
SubClassOf (A ⊑ B)Commercial ⊑ Building_Type
SubClassOf (A ⊑ B)Composite_Material ⊑ SolarSystemMainMaterial
SubClassOf (A ⊑ B)Connectors ⊑ Wiring_and_Cabling
SubClassOf (A ⊑ B)Control_Electronics ⊑ Super_Structure
ObjectPropertyDomainConnectedTo domain = SolarSystemDomain
ObjectPropertyDomainSuppliesPowerTo domain = SolarSystemDomain
ObjectPropertyDomainhasInsulationLayer domain = Sub_Structure
ObjectPropertyDomainhasMainMaterial domain = SolarFacadeSystem
ObjectPropertyDomainhasSubStructure domain = SolarFacadeSystem
ObjectPropertyDomainhasSuperStructure domain = SolarFacadeSystem
ObjectPropertyDomainhasSupportFrame domain = SolarFacadeSystem
ObjectPropertyDomainhasSystemType domain = SolarFacadeSystem
ObjectPropertyDomainhasUse domain = SolarFacadeSystem
ObjectPropertyDomainisMadeof domain = SolarFacadeSystem
ObjectPropertyDomainisMainMaterialOf domain = SolarSystemMainMaterial
ObjectPropertyDomainisSubStructureOf domain = Sub_Structure
ObjectPropertyDomainisSuperStructureOf domain = Super_Structure
ObjectPropertyDomainisUseOf domain = SolarSystemUsage
ObjectPropertyRangeConnectedTo range = SolarSystemDomain
ObjectPropertyRangeSuppliesPowerTo range = SolarSystemDomain
ObjectPropertyRangehasInsulationLayer range = Insulation_Layer
ObjectPropertyRangehasMainMaterial range = SolarSystemMainMaterial
ObjectPropertyRangehasSubStructure range = Sub_Structure
ObjectPropertyRangehasSuperStructure range = Super_Structure
ObjectPropertyRangehasSupportFrame range = Support_Frame
ObjectPropertyRangehasUse range = SolarSystemUsage

Engineering Examples

Three Engineering Examples for the Solar Facade System Ontology

1) Electrical Behavior Analysis
Engineers designing photovoltaic (PV) façade systems can use the ontology to represent and analyze the electrical structure of modules, including solar cells, bypass diodes, and string connections, to assess how shading or temperature affects performance.

Ontology use:

  • Models the modules, cells, diodes, connections and their relationships.
  • Describes conditions like shading events and electrical parameters.
  • Enables simulation tools to use the ontology data for predicting electrical behavior.

Importance:
Provides a standardized way to describe and simulate electrical configurations, helping identify risks like hot spots and ensuring safer, more efficient façade designs.

2) Condition Monitoring to predict the Maintenance


Facility managers can represent sensors, measurements, and detected faults to automate performance monitoring of PV façades and trigger maintenance activities.

Ontology use:

  • Defines sensors, measurement types and performance issues.
  • Links monitoring data to specific facade elements or modules.
  • Supports rule-based reasoning to identify faults and schedule maintenance tasks.

Importance:
Enables consistent monitoring across systems and early detection of degradation or failures, reducing downtime and maintenance costs.

3) Energy Optimization


Architects and engineers compare designs to optimize energy yield and thermal behavior in early stage design.

Ontology use:

  • Represents façade elements, materials, orientations, and energy outputs.
  • Integrates with simulation tools to evaluate performance of multiple design variants.
  • Stores simulation and evaluation results in a structured, querable form.

Importance:
Allows seamless comparison of design options, improving decision-making on energy efficiency and aesthetic tradeoffs early in the project lifecycle.

References

Frontini, F., & Kapsis, K. (2021). BIPV products and systems: From prototype to market uptake. IEA Photovoltaic Power Systems Program (IEA-PVPS).

International Electrotechnical Commission (IEC). (2020). IEC 63092-1:2020 Photovoltaics in buildings  Part 1: BIPV modules. Geneva: IEC.

International Energy Agency – Photovoltaic Power Systems Programme (IEA-PVPS). (2024). Building-integrated photovoltaics: A technical guidebook. IEA Publications.

Krötzsch, M., Simancik, F., & Horridge, M. (2012). Foundations of semantic web technologies. Chapman and Hall/CRC.

Martín-Chivelet, N., Olivieri, L., & Frontini, F. (2022). Building-integrated photovoltaics (BIPV): Technologies and applications. Elsevier.

National Renewable Energy Laboratory (NREL). (2023). BIPV designs for commercial buildings: Performance and integration strategies. U.S. Department of Energy.

Noy, N. F., & McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05.

Pillai, D. S., Agrawal, B., & Singh, S. (2022). Review on building-integrated photovoltaic (BIPV) systems: Current status and future prospects. Renewable and Sustainable Energy Reviews, 156, 111 972.


Main | Introduction | Individual Systems | Integration Context | Combined Ontology | Combined Parametric Model | Analysis and Conclusions | References