Carbon Emissions from Buildings: The Facts and How to Reduce Them

Buildings are responsible for approximately 40 percent of global energy consumption and around 36 percent of CO₂ emissions in the European Union. Despite decades of awareness, the built environment remains one of the largest and most stubborn sources of carbon in the world.

For property owners and managers, this is no longer just an environmental issue. It is a financial and regulatory one.

Why Buildings Emit So Much Carbon

The carbon footprint of a building comes from two sources.

Operational emissions are produced while the building is in use, from heating, cooling, ventilation, lighting and equipment. This is where the majority of a building's lifetime emissions come from, and it is where the biggest reduction opportunities exist.

Embodied carbon is the carbon released during the construction, renovation and demolition of a building, from the manufacturing of materials like concrete and steel, and the energy used during construction.

Most existing buildings were designed and built without carbon efficiency as a priority. They use oversized HVAC systems running on fixed schedules, poorly insulated envelopes, and outdated control logic that wastes energy every hour of every day.

The Regulatory Pressure Is Mounting

The EU's Energy Performance of Buildings Directive (EPBD) requires all new buildings to be zero-emission by 2030, and sets out renovation requirements for existing buildings across the decade. Similar policies are being rolled out across the UK, Norway and other markets.

Beyond regulation, institutional investors and major tenants are increasingly requiring ESG data and carbon reporting as a condition of investment or occupation. A building without a credible decarbonization plan is becoming harder to finance and lease.

Where the Reduction Opportunities Are

HVAC optimization is the single biggest lever. Heating, cooling and ventilation typically account for 40 to 60 percent of a commercial building's energy use. AI-powered systems like Myrspoven's myCoreAI can reduce that consumption by 20 to 25 percent, without replacing existing infrastructure. The AI continuously adjusts setpoints based on weather forecasts, occupancy patterns and energy prices, eliminating the waste that fixed schedules cannot avoid.

Load shifting reduces peak emissions: Electricity is not equally carbon-intensive at all times of day. When renewable energy is abundant, typically at night or during windy periods, the carbon intensity of the grid is lower. myLoadShift moves energy consumption to those windows, reducing both cost and carbon.

Retrofitting the building envelope: adding insulation, upgrading glazing, sealing air leaks, reduces the heating and cooling load the building needs to maintain. This is high-impact but capital-intensive. It makes most sense as part of a broader renovation program.

Switching to renewable energy sources: whether through on-site solar, heat pumps replacing gas boilers, or renewable electricity contracts, directly reduces the carbon intensity of building operations.

What Good Looks Like

A well-optimized commercial building in 2026 typically combines:

• An AI-driven HVAC optimization layer that adjusts operation in real time
• A BMS integration that gives full visibility into energy flows
• Regular reporting against a baseline to demonstrate progress
• A roadmap for deeper retrofits aligned to regulatory milestones

The goal is not perfection on day one. It is measurable, documented progress, the kind that satisfies regulators, attracts investors, and keeps tenants.

The Bottom Line

Carbon emissions from buildings are a solvable problem. The technology exists. The business case is increasingly clear. And the regulatory environment is making inaction expensive.

The property companies making progress today are not waiting for a perfect solution. They are starting with the highest-impact interventions, like AI energy optimization, and building from there.

Want to see what that looks like for your portfolio? Explore our solutions.