The Critical Role of IoT for Enabling the UK’s Built Environment Transition to Net Zero
The built environment contributes approximately 25% of the UK’s total greenhouse gas emissions, positioning it as a critical sector in the national net-zero strategy. This review investigates the enabling role of the domestic smart metering infrastructure combined with other IoT systems in accelerating the decarbonisation of residential buildings. Drawing from experience gained from governmental and commercially funded R&D projects, the article demonstrates how smart metering data can be leveraged to assess building energy performance, underpin cost-effective carbon reduction solutions, and enable energy flexibility services for maintaining grid stability. Unlike controlled laboratory studies, this review article focuses on real-world applications where data from publicly available infrastructure is accessed and utilised, enhancing scalability and policy relevance. The integration of smart meter data with complementary IoT data—such as indoor temperature, weather conditions, and occupancy—substantially improves built environment digital energy analytics. This capability was previously unattainable due to the absence of a nationwide digital energy infrastructure. The insights presented in this work highlight the untapped potential of the UK’s multibillion-pound investment in smart metering, offering a scalable pathway for low-carbon innovation for the built environment, thus supporting the broader transition to a net-zero future.
Authors
- Diyar Alan
- Grant Henshaw
- Maria Barbarosou
- Richard Fitton
- William Swan (ORCID: https://orcid.org/0000-0001-8780-6557)
- David Farmer (ORCID: https://orcid.org/0000-0001-7687-1919)
- Ioannis Paraskevas (ORCID: https://orcid.org/0000-0002-9547-6444)
- Anestis Sitmalidis
Institutions
- Hellenic Air Force (GR)
- University of Salford (GB)
Publication Details
- Journal
- Energies
- Published
- 2025-11-02
- DOI
- https://doi.org/10.3390/en18215779
- Primary Topic
- Building Energy and Comfort Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00