GDTL Knowledge Base
Browse 111 published articles across green digital transformation, AI, industrial data, energy, digital twins, BIM, circularity, skills and implementation strategy.
AI, Data & Analytics
Artificial intelligence, data architecture, analytics, monitoring and digital decision support.
37 articles →BIM & Built Environment
BIM, CAD, lifecycle assessment, buildings and digital construction workflows.
20 articles →Circularity & Sustainability
Circular economy, lifecycle thinking, materials, product data and sustainable operations.
15 articles →Digital Twins & Simulation
Digital twins, simulation, virtual models and operational decision systems.
9 articles →Energy & Resource Efficiency
Energy monitoring, efficiency, resource use and operational sustainability.
9 articles →Industrial Digitalization
Manufacturing, automation, predictive maintenance, quality and digital industrial workflows.
8 articles →Skills & Careers
Green-digital competencies, workforce development, technical careers and training.
2 articles →Strategy & Implementation
Digital maturity, implementation roadmaps, governance, business cases and transformation strategy.
11 articles →Browse the full library
Digital Twins for Buildings and BIM: Mapping the Landscape, Comparing Approaches, and Choosing a Path
Where Digital Twins and BIM Actually Meet The phrase “digital twin” has travelled far from its origins in aerospace and manufacturing. In the built environment, it now sits […]
Read article →Repairability Data and Product Lifecycle: A Working Scenario for European Manufacturers
A mid-sized Austrian manufacturer of industrial process sensors faces an uncomfortable question at a quarterly planning session: the company sells thousands of units per year, supports them for […]
Read article →BIM Energy Performance Workflows: A Practical Roadmap from Fragmented Simulation to Integrated Decision-Making
Why Most BIM Energy Performance Workflows Stall Before They Deliver Value Building information modelling promised a unified digital backbone for construction and facility management. In practice, energy performance […]
Read article →Material Quantity Extraction from BIM: Approaches, Standards, and Practical Selection Criteria
Material quantity extraction from BIM sits at the intersection of digital modelling, construction economics, and increasingly, sustainability accounting. The promise is straightforward: a model that already contains geometric […]
Read article →BIM Data Quality for LCA: Why Your Model May Not Be Ready for Life Cycle Assessment
The Promise and the Gap Life cycle assessment of buildings has moved from an academic exercise to a practical requirement. European procurement frameworks, national building regulations, and client […]
Read article →BIM for Facility Energy Management: From Digital Model to Operational Insight
Why Facility Energy Management Needs a Better Data Foundation Buildings account for a substantial share of global final energy consumption, and in most European contexts the operational phase […]
Read article →IFC Data for Sustainability Workflows: What the Standard Actually Delivers and Where the Gaps Remain
The pitch is seductive in its simplicity. You export your model as IFC, feed it into a life-cycle assessment tool, and the embodied carbon numbers appear. You run […]
Read article →BIM Material Data for Environmental Assessment: Mapping the Landscape, Comparing Approaches, and Choosing a Path
The question of how to embed environmental assessment inside a Building Information Model is no longer theoretical. European building regulations, procurement requirements, and corporate sustainability reporting increasingly demand […]
Read article →BIM for Sustainable Renovation: A Strategic Roadmap from Assessment to Scale
Renovating an existing building sustainably is not simply a smaller version of new construction. The geometry is irregular, the material history is uncertain, the energy baseline is poorly […]
Read article →Digital Twins for Resource Efficiency: Comparing Approaches, Trade-offs, and Practical Selection Logic
The phrase “digital twin” has spent the better part of a decade migrating from aerospace engineering and heavy-industry control rooms into conference presentations, EU-funded project proposals, and vendor […]
Read article →Digital Twins for Production Scheduling: A Strategic Roadmap from Simulation to Integrated Planning
Production scheduling is where manufacturing strategy meets physical reality. A planner decides that a batch should run on Line 3 between Tuesday morning and Thursday evening, that the […]
Read article →Digital Twin Validation in SMEs: From Concept to Trustworthy Decision Support
A digital twin promises a lot: a living virtual counterpart of a machine, a production line, a building, or an entire supply network that mirrors reality closely enough […]
Read article →The Cost and Complexity of Digital Twins: What the Vendor Pitches Leave Out
The term digital twin has become one of the most elastic labels in industrial technology. A 3D CAD model with a live temperature readout gets called a digital […]
Read article →Digital Shadow vs Digital Twin: A Strategic Decision Path for European Industry
The terms digital shadow and digital twin have migrated from academic manufacturing research into boardroom strategy decks, vendor brochures, and EU-funded project proposals with such speed that their […]
Read article →Digital Twin Data Architecture: Lessons from Building a Production-Line Twin in a Hypothetical European SME
Every conversation about digital twins eventually hits the same wall. The concept is seductive — a living, computational mirror of a physical asset that lets you predict failures, […]
Read article →Digital Twins for Maintenance Planning: A Strategic Roadmap from Pilot to Predictive Operations
Why Maintenance Planning Still Fails—and Where Digital Twins Change the Equation Most industrial and infrastructure organisations still plan maintenance around calendar intervals, reactive breakdowns, or a patchwork of […]
Read article →Explainable AI in Industrial Operations: From Mechanism to Practice
A quality-control engineer at a mid-sized automotive supplier notices that a machine-learning model has flagged a batch of brake components as defective. The line stops. Forty minutes of […]
Read article →Simulation for Factory Energy Optimization: A Case-Based Walkthrough of Decisions, Trade-offs, and Transferable Lessons
When Energy Bills Become an Engineering Problem European manufacturing sits at an uncomfortable intersection. Energy prices remain volatile after the disruptions of the early 2020s, sustainability reporting obligations […]
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