Statistics on bandwidth and HTTP poll frequency and implied waste from comment clients of the Earth.Org.UK podcast RSS feed.

A general public bibliography for Earth Notes and research on UK wet heating retrofit and related topics.

16WW heat battery energy diversion from solar PV and top-up from grid and other myenergi Eddi stats.

UK central heating on/off/other status micro-survey results largely from @EarthOrgUK Twitter account 2017 to 2022

The National Household Model (NHM) is delivered by the Department for Business, Energy and Industrial Strategy (BEIS). It was developed on behalf of BEIS by the Centre for Sustainable Energy (CSE) as an open-source tool for projecting the effects of policy and other legislative changes on the energy and emissions of the UK domestic housing stock by the Department of Energy and Climate Change (DECC). In order to be able to set up scenarios model users need to learn a specialist scenario language based on S-expressions (such as those used in the Lisp language) using the instruction manual found on the BEIS GitHub site. This will allow them to run the model which acts on the data in the various UK housing surveys. UK Data Archive stores the datasets for this model on behalf of the Department for Communities and Local Government (DCLG). Users need to register at UK Data Archive in order to access the raw data and run a conversion program to create a full dataset. The NHM team encourages feedback on all aspects of the model and documentation.

16WW heat battery top-up limit from grid and myenergi eddi solar diverter state.

16WW London suburb consolidated and uniform home energy time series, Kingston-upon-Thames, London, UK

Earth.Org.UK (EOU) Product, Service and Event Review metadata for schema.org as key/value pairs in plain-text files.

Data on the English housing stock profile 2013 onwards.

Statistics on the stock of domestic properties by Council Tax Band and property attributes in England and Wales.

Open data version of published LAHS tables from 2020.

Earth.Org.UK (EOU) domestic LED lamp mini-reviews in real-life deployments, including noting failures/lifetime.

16WW iButton interior temperature monitoring over 6 missions

GB (Scotland/England/Wales) grid carbon intensity as computed live from FUELINST data from Elexon multiple times per hour.

Code to support 16WW Eddi Export Margin analysis at https://www.earth.org.uk/eddi-diverter-export-margin-analysis.html page. The file net_energy_2019_2020_2021.xz is an XZ (LZMA) compressed catenation of all the 2019 2020 2021 Enphase data used in the model, as a safe separate snapshot. The Enphase data is published under a CC0 licence. Model output/results are published under a CC0 licence. All code elements here are published under an Apache 2.0 licence.

The census takes place every 10 years. It gives us a picture of all the people and households in England and Wales.

16WW domestic energy and related data, including time series, Kingston-upon-Thames, London, UK

Heat pumps are essential for decarbonizing residential heating but consume substantial electrical energy, impacting operational costs and grid demand. Many systems run inefficiently due to planning flaws, operational faults, or misconfigurations. While optimizing performance requires skilled professionals, labor shortages hinder large-scale interventions. However, digital tools and improved data availability create new service opportunities for energy efficiency, predictive maintenance, and demand-side management. To support research and practical solutions, we present an open-source dataset of electricity consumption from 1,408 households with heat pumps and smart electricity meters in the canton of Zurich, Switzerland, recorded at 15-minute and daily resolutions between 2018-11-03 and 2024-03-21. The dataset includes household metadata, weather data from 8 stations, and ground truth data from 410 field visit protocols collected by energy consultants during system optimizations. Additionally, the dataset includes a Python-based data loader to facilitate seamless data processing and exploration.

This series brings together all documents relating to the Digest of United Kingdom Energy Statistics (DUKES).

When do UK Twitter users (2017 to 2022) turn their central heating fully off, by month? This informal periodic survey on social media suggests that a substantial fraction of respondents (up to 10%) leave their central heating on year-round, which may lead to unnecessary energy consumption and carbon emissions.