The UK Government has confirmed that, from 2031, commercial buildings over 1,000 m² must achieve EPC B to remain lettable.
For many property owners and asset managers, the challenge isn’t knowing that change is coming, it’s understanding which buildings need investment, how much it will cost, and where to start.
Traditional energy surveys answer those questions one building at a time. Across a portfolio, that can take years.
This webinar explores a different approach.
Using rapid portfolio modelling, combined with technical review from experienced retrofit consultants, we’ll show how hundreds of buildings can be screened in days, helping organisations identify compliance risks, likely investment costs and where exemptions may apply.
What you’ll learn
During this 45-minute webinar we’ll cover:
- The 2031 EPC B requirement and what it means in practice.
- Why EPCs alone don’t provide a retrofit strategy.
- How rapid portfolio screening identifies compliance gaps, costs and risk.
- Where automated modelling ends—and where technical expertise becomes essential.
- Hidden constraints such as heritage, condensation risk, plant space and practical feasibility.
- How to prioritise investment around lease events, budgets and capital programmes.
Who should attend?
Ideal for:
- Commercial property owners
- Asset managers
- Property investors
- Estates teams
- FM professionals
- Local authorities
- Housing providers
- ESG and sustainability leads
- Surveyors and property consultants
Register here
- Date: 22 July 2026
- Time: 13:00 BST
- Duration: 45 minutes
Presenters
Yiota Paraskeva - Eight Versa
Yiota Paraskeva
Eight Versa
As Technical Director at Eight Versa, and the team’s specialist in building physics, particularly thermal performance modelling and moisture transmission, Yiota provides specialist building fabric consulting to achieve low energy schemes.
With her extensive experience in architectural detailing and thermal bridging analysis of building elements, systems and junctions, Yiota provides consultancy services that aim to optimise the whole building fabric to reduce heat losses and condensation risks. She also specialises in dynamic modelling of buildings to provide advice in relation to energy consumption, carbon emissions, thermal comfort, overheating and daylighting, as well as modelling external microclimates and environmental conditions.
As well as this, Yiota uses her expertise to help organisations measure and minimise their carbon footprint for Scope 1, 2 and 3. Yiota has a BSc in Architectural Engineering from the University of Thrace, Greece, and a MSc in Energy and Efficient Environmental Building Design from Lund University, Sweden and is also a Certified Passive House Designer. She has extensive experience in multiple environmental science software packages such as WUFI, TRSICO, BISCO, THERM, Rhino scripting, Energy Plus and multiple Computation Fluid Dynamics programs.
Olga Khroustaleva - Building Atlas
Olga Khroustaleva
Building Atlas
As Co-Founder of Building Atlas, Olga specialises in applying data, machine learning and user-centred product design to improve decision-making across the built environment. She combines extensive experience in digital product development with a focus on helping organisations understand the energy performance and retrofit potential of property portfolios using publicly available data.
Olga has over 17 years’ experience leading product, user experience and operations teams, most notably at Google, where she directed cross-functional, internationally distributed teams responsible for developing and scaling consumer and enterprise products used by more than one billion people. Her work included early development of Google Maps, establishing research capabilities at YouTube, and leading programmes focused on user trust, identity management and European privacy regulation.
Following her move into climate technology, Olga co-founded Building Atlas to help organisations rapidly assess the performance of existing buildings and identify opportunities for retrofit at scale. Her work combines machine learning, geospatial data and building analytics to provide practical insight for property owners, investors and sustainability professionals. Olga also completed a Master’s focused on the sustainable built environment, including the application of machine learning techniques to predict building characteristics from publicly available datasets.
