Technical Evaluation of SMETER Technologies Project, Phase 2 Data: Heat Transfer Coefficients, In-Use Temperature and Energy Data, Local Weather, Dwelling Information, and Occupancy Surveys From 30 English Dwellings, 2019-2021.

Allinson, D. and Crawley, J and Elwell, C and Farmer, D and Fylan, F and Glew, D and Gorse, C and Hardy, A and Hollick, F and Johnston, D and Lomas, K.J. and Loveday, D.L. and Miles-Shenton, D and Parker, J and Rakhshanbabanari, K and Reevell, L and Roberts, B.M. and Roberts, G. and Thomas, F. and Wingfield, J (2024). Technical Evaluation of SMETER Technologies Project, Phase 2 Data: Heat Transfer Coefficients, In-Use Temperature and Energy Data, Local Weather, Dwelling Information, and Occupancy Surveys From 30 English Dwellings, 2019-2021. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-856978

The SMETER Innovation competition funded the development and testing of new methods for measuring the thermal performance of homes using smart meter and other data. This is the latest version of the Phase 2 data.

Data description (abstract)

This dataset was created for the purposes of SMETER Evaluation as part of the Technical Evaluation of SMETER Technologies (TEST) Project led by Prof. David Allinson at Loughborough University. This Phase 2 dataset includes data from 30 dwellings in England. It contains: heat transfer coefficients (HTC), airtightness, floor plans, window sizes and orientations, in-use gas and electricity consumption, indoor air temperature, and indoor relative humidity, local weather data, a dwelling survey, and an occupant survey. Refer to the README for data file structure. It was originally used to assess SMETER Technologies to in the UK Government SMETER Innovation Competition. The work was funded by the Department of Business, Energy and Industrial Strategy. Refer to the Technical Evaluation of SMETER Technologies (TEST) Project report for further information: (https://hdl.handle.net/2134/19169027). This dataset is made publicly available to support research and technology development in the area of in-use HTC calculation. It is also useful for researchers who require data from real homes for energy demand analysis, overheating prediction, and a variety of other topics relevant to the UK domestic building sector. Please download and make use of this dataset in your own research and cite publications with emanate from the dataset. We are happy to answer any questions about the dataset and its use.

Data creators:

Creator Name	Affiliation	ORCID (as URL)
Allinson D.	Loughborough University	https://orcid.org/0000-0001-6161-0636
Crawley J	UCL
Elwell C	UCL
Farmer D	University of Salford
Fylan F	Leeds Beckett University
Glew D	Leeds Beckett University
Gorse C	Loughborough University
Hardy A	Leeds Beckett University
Hollick F	UCL
Johnston D	Leeds Beckett University
Lomas K.J.	Loughborough University
Loveday D.L.	Loughborough University
Miles-Shenton D	Leeds Beckett University
Parker J	Leeds Beckett University
Rakhshanbabanari K	Loughborough University
Reevell L	Halton Housing
Roberts B.M.	Loughborough University	https://orcid.org/0000-0002-6542-0650
Roberts G.	Halton Housing
Thomas F.	Leeds Beckett University
Wingfield J	UCL

Sponsors:

Department for Business, Energy & Industrial Strategy

Topic classification:

Science and technology

Keywords:

ENERGY, TEMPERATURE, BUILDINGS, SMART METERS, ENERGY CONSUMPTION, ENERGY EFFICIENCY RATING, HOUSES, HOUSING, HOUSING CONSTRUCTION

Project title:

Smart meter enabled thermal efficiency ratings (SMETER) technologies project: technical evaluation

Alternative title:

Technical Evaluation of SMETER Technologies Project Phase 2 Data: HTCs, in-use temperature and energy data, local weather, dwelling information, and occupancy surveys from 30 English dwellings

Grant holders:

David Allinson (PI), Cliff Elwell (Co-I), Chris Gorse (Co-I), Kevin Lomas (Co-I), Dennis Loveday (Co-I), Gavin Roberts (Co-I)

Project dates:

From	To
1 January 2019	31 January 2022

Date published:

26 Mar 2024 08:57

Last modified:

26 Mar 2024 17:48

Coverage and Methodology

Collection period:

Date from:	Date to:
1 May 2019	31 March 2021

Geographical area:

Northwest England

Country:

United Kingdom

Data collection method:

All data were collected as part of the Technical Evaluation of SMETER Technologies (TEST) Project (Phase 2). It was funded by the Department for Business Energy and Industrial Strategy via the Smart Meter Enabled Thermal Efficiency Ratings (SMETER) Innovation Competition: Phase 2. This dataset comprises the full sample of 30 dwellings. Each dwelling had a co-heating test and fan pressurisation test prior to being occupied. The energy consumption and indoor environment were then monitored whilst the houses were occupied (i.e., in-use). The following data have been made available to aid calculation of the in-use heat transfer coefficient: gas and electricity consumption; indoor temperature and relative humidity; local weather conditions. Additional information on the dwelling and the occupants has also been provided such as boiler type, wall construction, and number of occupants. Gas and electricity consumption were measured via secondary meters at 30 minute intervals in all dwellings. There is an accompanying quality assurance (QA) file for each week of energy data, highlighting any issues. Indoor temperature data were measured at 30-minute intervals in every room in each home using a narrowband IoT sensor (uncertainty: temperature +/- 0.2 deg C; relative humidity +/- 2%). Local weather data were measured at a central site within approximately 6 km of all homes in the sample. Weather data include dry bulb temperature, relative humidity, wind speed, wind direction, precipitation, barometric pressure, and total vertical solar irradiance (vertical facing south). Information from the dwelling was collected via visual inspection.

Observation unit:

Individual, Household, Housing unit

Kind of data:

Numeric, Text, Still image

Type of data:

Experimental data , Qualitative and mixed methods data, Time series data

Resource language:

English

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