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Assessing building-level retrofit potential instantaneously and on a large scale

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Title Pictue Assessing Building Level Retrofit.jpg

Research Team

Our Motivation:

"My experiences in the residential solar sector have showed me that effective building decarbonization efforts need to empower property owners to make sensible investment decisions. By identifying building-level retrofit potentials on a large scale, this research aims to facilitate the matchmaking between property owners and contractors/investors in the retrofit industry to help owners understand which retrofit investments should be considered."


 

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Research Contribution

Provide a new methodology to bridge the gap between bottom-up and top-down building retrofit approaches.

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Problem

Practical Problem

We are missing a method which can estimate building-level retrofit options fast, accurately, and on a large scale.

As a result, property owners are often unaware of their respective retrofit potential and contractors struggle to identify the most promising retrofit targets.

Conceptual Problem

Current retrofitting approaches are either detailed but local (bottom-up) or large-scale but coarse (top-down).

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Solution

Explore the development of a scalable and data-driven solution to assess the retrofit potential of a building’s roof, walls, and windows solely based on publicly available data sources.

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Added Value For The Industry

Demonstrate how publicly available data sources can be integrated to assess detailed building retrofit potential on a large scale.

Empower investors/contractors to approach owners proactively.

Icon Cooperation partner

Cooperation Partner

Logo Goldbeck
Goldbeck, Germany
Icon Timeline

 Timeline

Date

Activity

Outcome

Summer 2022

Research became awarded: Assessing building-level retrofit potential instantaneously and on a large scale

 

Fall 2022

Literature review

 

 

Data collection

 

 

Data cleaning

 

 

Model design

 

Winter 2023

Implement baseline and deep models

 

 

Conduct experiments

 

Spring + Summer 2023

  • Conduct experiments
  • Benchmark different approaches and report results
 

 

If you want to participate in the project please reach out to Kevin Mayer.