Why Dynamic Simulation Modelling is key to sustainable revalorisation

Unlike traditional static calculations, DSM models a building’s thermal behavior on an hourly basis over a full year. It factors in:

🏢 The building envelope (insulation, glazing, airtightness, etc.),

💡 Internal loads (equipment, lighting, occupancy),

☀️Solar gains (depending on building orientation),

🌦️Climate data (historical or future RCP*-based scenarios),

🌬️ Ventilation, heating, and cooling systems.

In a revalorisation context, DSM enables us to simulate various upgrade scenarios and pinpoint the most impactful investments—for comfort, energy efficiency, and long-term ROI.

*RCP: Representative Concentration Pathways. These are climate projections developed by the IPCC (Intergovernmental Panel on Climate Change) to model future climate evolution based on different levels of greenhouse gas emissions.

• Climate: future RCP4.5 scenario, anticipating climate change effects.
• Internal loads: 70W/person, 12m²/person, 70% average occupancy.
• Lighting: 10.4W/m²; office equipment: 11.3W/m².
• Building envelope: poor insulation, inefficient double glazing (Ug > 3), 12cm PU roof insulation, average airtightness.
• HVAC: heating at 22°C; no active ventilation or cooling.

• Solar gains accounted for 40% of thermal loads—more than lighting or occupancy.
• All zones significantly exceeded comfort thresholds, with well over 5% of occupied hours above 25°C.
• DSM enabled precise quantification and testing of multiple retrofit strategies.

Among the scenarios we tested:

✔️High-performance glazing: reduced overheating time by 35%.

✔️Frame replacement: minimal additional benefit due to small surface area, though improved airtightness slightly.

✔️External blinds (automated): 25% reduction—not as effective as glazing replacement and less predictable in user behavior.

✔️Daytime natural ventilation: simple yet effective — manual window opening at appropriate times reduced overheating by up to 50% in targeted areas.

✔️Fixed solar shading: up to 30% overheating reduction, but led to a 9% increase in winter heating demand.

🔍 Data-backed decisions – Compare interventions based on their real, measured impact.

🏢 Protect asset value – Address thermal discomfort before it affects occupancy rates.

📈 Maximise impact– Prioritise actions with the greatest comfort and energy benefits.

🌍 Future-proof your asset – Thermal modelling allows simulation under future climate scenarios (RCPs), supporting long-term resilience.

At PULSE, we don’t just speculate—we simulate. Dynamic Simulation Modelling is a cornerstone of our pragmatic, ROI-driven revalorisation strategy. It brings clarity, precision, and credibility to your investment roadmap.