|Dataset||Type of data||Comments|
|Public Sector Energy Efficiency Performance submissions||Energy consumption by Public Bodies for 2014||Contains details of total energy consumption per fuel source for each Public Body, thus aggregated (one PB could include multiple locations/buildings)Gas Meter dataGas Meter description (free text field) which may include address of Gas Meter in a free text format|
|Geodirectory||Address points||Provides exact geographic location of each address and associated Small Area at building level.|
|“Unlocking The Energy Efficiency Opportunity” report, June 2015||Energy demand benchmarks by sector for different size and building use types with energy efficiency||Provides energy demand benchmarks for public sector buildings of different use types, building sizes, and HVAC systems.Contains benchmarks for different efficiency specifications.Based on analysis of the BER dataset and survey data.|
|NRA||Population Growth Estimates||Estimates of population growth per county and CSO_DED level from 1986 in 5 year intervals.|
Buildings and Small Areas
The Public Sector EE Performance submissions provide annual gas consumption reported to SEAI by the meter operator for 3,625 gas meters. This data includes hospitals and schools. Each gas meter contains a free text description field which in many cases, contains the address or partial address information for the meter. For each, the Public Body ID and name are identified. A first stage of processing required data cleaning, followed by an identification of separate address parts from the description, followed by a matching procedure using the Geodirectory to identify Small Areas for each gas meter. 497 gas meters were excluded due to lack of data (no consumption or blank address). 39 meters with negative consumption reported were excluded as well as some duplicated entries. A visual inspection and match of the remaining with the ETS dataset allowed the discard of another 25 meters (to avoid duplication – this involved 4 entities with consumption reported in this data set as well as via the ETS). A few entries were also discarded as they had the potential to being included in the VO dataset part of the Commercial data. Following this, 3,062 gas meters remained (84% of original).
The following assumptions were then used to identify unique, individual buildings (where several gas meters appear to feed one building a at a single address): looking sequentially at gas meters by County and Public Body ID, 1st line of Address and then use type, when combination same or similar, a unique building is assigned to multiple GPRNs. In this way, 2,718 potential unique buildings were identified. Small Areas were identified for 1,472 of them (54% of unique buildings).
Energy consumption benchmarks and heat demands
The weather corrected gas consumption reported for each building in each Small Area forms the baseline for this dataset. A counterfactual efficiency for heat of 85% was used to estimate annual heat demand
In order to evaluate the energy efficiency potential for these buildings, a 13% reduction on reported consumption has been applied. This is based on information provided in section 2.5 of the “Unlocking The Energy Efficiency Opportunity” report, June 2015. Assumptions of measures taken by Public Sector buildings include:
|Primary Energy saving per measure in TWh|
|8-Cavity Wall Insulation||0.06|
|13-Solid wall insulation||0.08|
With primary energy consumption in this sector identified in 2013 as 7 TWh, the above savings amount to 13% which is applied to the Public Sector buildings consumption provided by the gas meters.
Estimated heat demand for 2025 (10 year projection) was calculated by adding estimated growth attributed to each public sector building evaluated, to the energy efficient estimated heat demand of existing buildings. The growth in buildings was calculated using population growth estimates (from 2011, year of the census data, to 2026) at county level.
To estimate the heat demand of the growth, energy benchmarks from the “Unlocking The Energy Efficiency Opportunity” report were used. The heat consumption figure for new buildings is estimated as growth of existing consumption (without energy efficiency) then calibrated to the new building benchmarks as follows:
- Large or small building is assumed depending on whether baseline consumption is above or below average for the use type.
- An assumption is made that baseline buildings are 50:50 split of ventilation type.
- An assumption is made that baseline buildings are 50:50 split of quality (good/poor).
- A composite energy benchmark for each use type is calculated as above as the baseline benchmark (using the Initial benchmarks) on which current consumption would be based.
- A composite benchmark for each use type is calculated for new buildings based on all being of good quality, 50:50 split of ventilation type, and for the Medium Energy Efficiency package. This includes cavity wall and roof insulation, draught proofing, energy efficient lighting, heating controls, energy efficient office equipment and refrigeration and more efficient boilers.
A calibration factor is applied to the consumption growth based on the difference between initial and new buildings composite benchmarks for large versus small buildings. In this way, adding up the energy efficient heat demand of existing buildings with energy efficiency measures plus the growth heat demand provides the future 10 year forecast heat demand.
The main weakness of this dataset is that this it represents a very small percentage of the overall Public Sector buildings in Ireland.
To apply relevant benchmarks to each building use type, the types provided in the gas meter data have been converted to the types available in the “Unlocking The Energy Efficiency Opportunity” report as follows:
|Gas meter building type||“Unlocking The Energy Efficiency Opportunity” report building types|
|Restaurant/public house||Restaurant/public house|
|Transport||Warehouse and storage|
Public sector data set methodology