Air Quality Monitoring Data Dublin City Council measures ambient air quality in Dublin in accordance with Air Quality standards. 'This dataset contains Air Quality Monitoring Data from January to March 2011, consisting five spreadsheets taken from five air monitoring sites around Dublin City that show hourly results for the pollutants Sulphur Dioxide( SO2) , Nitrogen Dioxide (NO2), Carbon Monoxide ( CO) and Particulate Matter (PM2.5 & PM10). The regulations are set by the Clean Air for Europe Directive 2008 (2008/50); from January 1st, 2010 the directive also requires PM2.5 monitoring. There is no real time data for PM10 or PM25'Black smoke monitoring is also carried out as a form of background monitoring using the benchmark of EU Directive 80/779/EEC as a guide however this has been scaled down since the 1990s following the introduction of the coal ban.'Multi-pollutant sites are:'Winetavern Street PM10, NO2, CO, SO2'Coleraine Street- PM2.5, NO2, CO, SO2'Ballyfermot PM10, NO2, SO2'PM10 only sites include:'Phoenix Park'Rathmines'PM2.5 only:'Marino'Black Smoke:'Ringsend'Crumlin'Finglas'Cabra''Annual report published http://www.dublincity.ie/WaterWasteEnvironment/AirQualityMonitoringandNoiseControl/AirPollution/Documents/Annual_report_2009.pdf
####Air Quality Monitoring Data Dublin City Council measures ambient air quality in Dublin in accordance with Air Quality standards. 'This dataset contains Air Quality Monitoring Data from 2011 and 2012, consisting five spreadsheets taken from five air monitoring sites around Dublin City that show hourly results for the pollutants Sulphur Dioxide (SO2) , Nitrogen Dioxide (NO2), Carbon Monoxide ( CO) and Particulate Matter (PM2.5 & PM10). The regulations are set by the Clean Air for Europe Directive 2008 (2008/50); from January 1st, 2010 the directive also requires PM2.5 monitoring. There is no real time data for PM10 or PM25. Black smoke monitoring is also carried out as a form of background monitoring using the benchmark of EU Directive 80/779/EEC as a guide however this has been scaled down since the 1990s following the introduction of the coal ban. 'Multi-pollutant sites are: Winetavern Street PM10, NO2, CO, SO2 ,Coleraine Street- PM2.5, NO2, CO, SO2 ,Ballyfermot PM10, NO2, SO2 ,PM10 only sites include: Phoenix Park ,Rathmines ,PM2.5 only: Marino ,Black Smoke: Ringsend, Crumlin, Finglas, Cabra. Annual reports from 2004 published here: http://www.dublincity.ie/WaterWasteEnvironment/AirQualityMonitoringandNoiseControl/AirPollution/Pages/AnnualReports.aspx
Air Quality Monitoring Traffic Projects Data Dublin City Council measures air quality for Particulate Matter (PM10) emissions from Traffic at the Dublin Port Tunnel Northern Portals (Oak Park). 'This dataset contains Air Quality Monitoring Data from January to December 2010, in one excel workbook with graphs showing monthly trends. Daily readings are shown against EU limits. Monthly and yearly averages are calculated.
Dublin City Council measures ambient sound quality throughout Dublin with a network of sound monitors. This datasets consists of spreadsheets and raw data taken from monitoring sites around Dublin City. The sound level meters store continuous 5 minute sound pressure levels, with information from the individual daily files then collated into a spreadsheet with separate worksheet for each month of the year . The results of the sound level meter are given in Leq, which is the average sound level over the period of measurement. L95 and the L10 data is also provided. This is the sound level exceeded for 95% and 10% of the time respectively. The sound monitoring network helps to validate the noise mapping grid dataset, which is available in the research zone.
Mean average wind speeds in metres per second (m/s) at 100m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. Data compilation was completed in 2013, by analysing measurements taken during 2001--2010. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers.
Mean average wind speeds in metres per second (m/s) at 125m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. Data compilation was completed in 2013, by analysing measurements taken during 2001--2010. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers.
Mean average wind speeds in metres per second (m/s) at 150m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. Data compilation was completed in 2013, by analysing measurements taken during 2001--2010. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers.
Mean average wind speeds in metres per second (m/s) at 20m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. Data compilation was completed in 2013, by analysing measurements taken during 2001--2010. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers.
Mean average wind speeds in metres per second (m/s) at 30m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. Data compilation was completed in 2013, by analysing measurements taken during 2001--2010. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers.
Mean average wind speeds in metres per second (m/s) at 40m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. Data compilation was completed in 2013, by analysing measurements taken during 2001--2010. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers.
Mean average wind speeds in metres per second (m/s) at 50m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. Data compilation was completed in 2013, by analysing measurements taken during 2001--2010. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers.
Mean average wind speeds in metres per second (m/s) at 75m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. Data compilation was completed in 2013, by analysing measurements taken during 2001--2010. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers.
Mean average wind speeds in metres per second (m/s) at 50m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland). Data compilation was completed in 2003. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).
#### Brown bin weights and no of collections in Dublin City from May 2010 to July 2011 This dataset contains information fields showing weights (kgs) of brown bin collections in Dublin City, broken down on a weekly basis. It also contains fields showing number of lifts (Lift count) and average weight per bin.
Water Quality Samples The Dublin City Central Laboratory maintains a database of river , bathing water, sewage and drinking water samples and results of any tests carried out on those samples, from . There are three .xml spreadsheets contained here: The drinkingwater check monitoring data shows samples taken from consumers houses but the specific address is not included in the file, rather an aggregated location e.g. Marino, Sandymount,Drumcondra, Ballymun etc. Also included is drinking water audit monitoring data in a separate file. The river file contains data for the operational monitoring carried out to comply with the Water Frame Work Directive. Bathing water quality results can be viewed (or subscribe to RSS feed) at: http://www.dublincity.ie/WaterWasteEnvironment/WasteWater/Ringsend%20Waste%20Water%20Treatment/Pages/BathingWaterQualityResults.aspx
Register of Operators Using Solvents in Industrial Process Under two pieces of legislation, the Air Monitoring and Noise Control Unit of Dublin City Council is involved in the assessment of applications for Certificates of compliance/approval in relation to solvent use. This dataset comprises two spreadsheets; the VOC (Volatile Organic Compounds) Register and DECO (Paints) Register, which contain names and addresses of the operators and expiry dates of certificates.'The Emissions of Volatile Organic Compounds from Organic Solvents Regulations 2002 introduced controls on emissions of VOCs from various commercial activities including dry cleaners, sheet metal work, manufacturers of metal gates and fencing, electronics manufacturing and pharmaceutical manufacture etc. Many of these types of business may be included or exempted under these Regulations depending on the quantity of solvent used.'Under the use of Organic Solvents in certain Paints, Varnishes and Vehicle Refinishing Products Regulations 2007 (Paints Regulations), all businesses which carry out vehicle refinishing i.e. car spray painting, must be registered with the relevant Local Authority. Inspections of VOC premises are carried out and if the Environmental Health Officer is satisfied, then a Certificate of Compliance is issued to the company. 'Annual report published online http://www.dublincity.ie/WaterWasteEnvironment/AirQualityMonitoringandNoiseControl/AirPollution/Pages/Solvents.aspx
Energy Audit The Department of Communciations, Energy and Nautral Resources requires all public sector bodies, since 2009, to produce annual reports setting out their energy efficiency actions and progress toward a target of 33% energy efficiency savings by 2020. This dataset provides baseline information towards the reduction of Dublin City Council's footprint and consists a corporate energy audit for Electricty and gas use, foreign travel figures and fuel consumption figures for the council's vehicular fleet. These figures fed into the data returns for 2010, fuel figures go back to November 07. Figures feed into the National Energy Efficiency Action Plan 2009-2020, which can be viewed at : http://www.dcenr.gov.ie/NR/rdonlyres/FC3D76AF-7FF1-483F-81CD-52DCB0C73097/0/NEEAP_full_launch_report.pdf
Council operated allotments located within the Dún Laoghaire-Rathdown County Council administrative area. The Council operates allotments at two locations in the County. At Goatstown, the Parks Service manage allotments which are provided on lands reserved for the construction of the Eastern bypass road. There are 136 allotments ranging in size between 40 and 200 square meters. The individual gardeners are organised in an allotment association which represents the needs of the plot holders. At Shankill, there are 95 allotments located on the grounds of Quinn's Road. Information includes name, number of allotments, latitude, longitude and ITM coordinates.
Register of all FOG licenses issued to food service establishments This dataset contains a register of all Fats Oils & Greases (FOG) licenses issued to food service establishments in Dublin City. The FOG programme was put in place in 2008 to reduce waste grease discharges from clogging the city's sewers and is licensable under the Water Pollution Acts. Information fields contain a list of facilities, their addresses,licence number as well as the type of facility, which include: Fast Food Restaurant'Full Service Restaurant'Drive through (only) Restaurant'Seasonal Restaurant'Coffee Shop'Bakery'Supermarket'Hospital'Nursing Home'School/College/University Canteen'Club/Organization Canteen'Company/Office Building Canteen'Other'Guess House'Public House 'Convenience Store/Deli 'Hotel 'This datasets can be read in conjunction with the drainage maintenance cleaning programme dataset for Dublin City, which contains a field to indicate if grease was found in a cleaned drain, thus feeding into the FOG inspections.
Carbon Tax paid for business trips abroad Cost of tax per tonne, cost per trip and number of trips listed. Total amount of Carbon Tax paid by the Council for 2011
Fuel Costs Lists of financial year returns for fuel costs and where fuel was purchased from for Dublin City Council 01/11/2007 - 31/12/2011
Gas Consumption List of properties we own or manage and the consumption rate of gas used for each. The dataset contains 4 worksheets based on different service providers.
Larger Commercial & Industrial Processes Suitability Map. Ground source heat energy, sometimes called shallow geothermal energy, can be collected from the ground and boosted with heat pumps. This can yield up to four times as much energy as is used to collect it, giving ‘four for the price of one’ in energy terms. Heat energy can be harnessed, or ‘collected’, using different types of collector systems: Closed loop collectors are systems where heat is extracted from the ground (or cooling is gained) by pumping a heat exchange fluid through closed pipes within the ground. The pipes can be installed borehole(s) (vertical closed loop) or laid out horizontally (horizontal closed loop). Open loop ground source heat systems operate by taking heat energy from abstracted groundwater using a heat pump. The volume of groundwater that can be abstracted from a borehole or taken from a spring each day (the ‘yield’) determines the total amount of heat energy available, and therefore the size of heat pump that can be used and the size of building that can be heated. The ground source heating/cooling suitability maps indicate which type of ground source heat collector is most compatible with the geology below your site. All maps should be assessed together, since whilst some areas may be unsuitable for one type of ground source heat collector system (‘ground source heat pumps’ or GSHPs), the heat energy can be successfully harnessed by a different type of system. The maps show that there is a shallow geothermal solution for heating or cooling for every location in Ireland. The suitability maps use a suitability rating ranging from 1 (worst) to 5 (best) for each type of heat collector/cooling system. Suitability maps for open loop (domestic/small commercial), open loop (larger commercial/industrial processes) and vertical closed loop systems are available.
Geothermal Open Loop Domestic Suitability Classification. Ground source heat energy, sometimes called shallow geothermal energy, can be collected from the ground and boosted with heat pumps. This can yield up to four times as much energy as is used to collect it, giving ‘four for the price of one’ in energy terms. Heat energy can be harnessed, or ‘collected’, using different types of collector systems: Closed loop collectors are systems where heat is extracted from the ground (or cooling is gained) by pumping a heat exchange fluid through closed pipes within the ground. The pipes can be installed borehole(s) (vertical closed loop) or laid out horizontally (horizontal closed loop). Open loop ground source heat systems operate by taking heat energy from abstracted groundwater using a heat pump. The volume of groundwater that can be abstracted from a borehole or taken from a spring each day (the ‘yield’) determines the total amount of heat energy available, and therefore the size of heat pump that can be used and the size of building that can be heated. The ground source heating/cooling suitability maps indicate which type of ground source heat collector is most compatible with the geology below your site. All maps should be assessed together, since whilst some areas may be unsuitable for one type of ground source heat collector system (‘ground source heat pumps’ or GSHPs), the heat energy can be successfully harnessed by a different type of system. The maps show that there is a shallow geothermal solution for heating or cooling for every location in Ireland. The suitability maps use a suitability rating ranging from 1 (worst) to 5 (best) for each type of heat collector/cooling system. Suitability maps for open loop (domestic/small commercial), open loop (larger commercial/industrial processes) and vertical closed loop systems are available.
Geothermal Vertical Closed Loop Suitability Classification. Ground source heat energy, sometimes called shallow geothermal energy, can be collected from the ground and boosted with heat pumps. This can yield up to four times as much energy as is used to collect it, giving ‘four for the price of one’ in energy terms. Heat energy can be harnessed, or ‘collected’, using different types of collector systems: Closed loop collectors are systems where heat is extracted from the ground (or cooling is gained) by pumping a heat exchange fluid through closed pipes within the ground. The pipes can be installed borehole(s) (vertical closed loop) or laid out horizontally (horizontal closed loop). Open loop ground source heat systems operate by taking heat energy from abstracted groundwater using a heat pump. The volume of groundwater that can be abstracted from a borehole or taken from a spring each day (the ‘yield’) determines the total amount of heat energy available, and therefore the size of heat pump that can be used and the size of building that can be heated. The ground source heating/cooling suitability maps indicate which type of ground source heat collector is most compatible with the geology below your site. All maps should be assessed together, since whilst some areas may be unsuitable for one type of ground source heat collector system (‘ground source heat pumps’ or GSHPs), the heat energy can be successfully harnessed by a different type of system. The maps show that there is a shallow geothermal solution for heating or cooling for every location in Ireland. The suitability maps use a suitability rating ranging from 1 (worst) to 5 (best) for each type of heat collector/cooling system. Suitability maps for open loop (domestic/small commercial), open loop (larger commercial/industrial processes) and vertical closed loop systems are available.
Logging of litter fines This dataset contains a log of the litter fines issued in Dublin City from 2003 to 2012, the location and date of offence and the relevant section of the Bye-Law for the Prevention and Control of Litter
Mean average *offshore* wind speeds in metres per second (m/s) at 100m above sea level. The wind speed data, modelled in 2003, covers the Irish Internal Waters and the Irish Territorial Sea up to 12 nautical miles from the baseline. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).
Mean average *offshore* wind speeds in metres per second (m/s) at 50m above sea level. The wind speed data, modelled in 2003, covers the Irish Internal Waters and the Irish Territorial Sea up to 12 nautical miles from the baseline. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).
Mean average *offshore* wind speeds in metres per second (m/s) at 75m above sea level. The wind speed data, modelled in 2003, covers the Irish Internal Waters and the Irish Territorial Sea up to 12 nautical miles from the baseline. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).
This dataset represents an initial comparison between several years of hourly wave forecasts (using WAM) on a grid of points located off the Irish coast with corresponding records from a number of buoys installed pre 2005. Based on the level of agreement found the wave forecasts were then modified slightly and used to estimate the mean annual and seasonal (Spring, Summer, Autumn, Winter) technical energy resource in GigaWatt hours around Ireland for the Accessible Wave Energy Resource Atlas. The Mean Technical Energy Resource (Pelamis) values are measured as lower and upper values in GWhe/km as calculated by the Pelamis wave model. Mean Technical Energy covers an area known as the Irish Exclusive Economic Zone (EEZ). Data model produced in 2005. The Pelamis Wave Model was an oceanographic model using the Pelamis wave energy converter device. The Accessible Wave Energy Resource Atlas was produced to provide data and information on the accessible wave energy resource potential around Ireland. Wave model developed by ESB International (ESBI) as part of the Accessible Wave Energy Atlas Ireland published by the Marine Institute and Sustainable Energy Authority Ireland. Model completed for time period run.
Road Source Noise Model The dataset contains the noise model results for the Dublin Region showing population exposure to sound from traffic sources. The noise maps show colour coded areas in Dublin based on sound levels in 5 bands. These increment in 5 decibels. The night time band starts at 50 decibels and the 24 hour band starts at 55 decibels. There are two categories of sound sources mapped all roads and major roads (roads with more than 3 million vehicle passages per year). Traffic volumes are averaged to an hourly traffic count over a typical 24 hour day. The supporting dataset Total Traffic Volumes and Road Centrelines for Dublin City is also published on Dublinked. Dublin City Council revised the first set of 2007 road source noise maps to produce the current maps for June 2012. The 2012 Revision of Noise Maps and Action Plans are available to download in kml format at http://www.dublincity.ie/WaterWasteEnvironment/NoiseMapsandActionPlans/Pages/default.aspx
Department of Communications, Climate Action & Environment commissioned Offshore Renewable Energy Development Plan Strategic Environmental Assessment Tidal Resource transnational area between Northern Ireland and Ireland for the development of tidal energy.
The location of offshore non-renewable gas energy extraction platforms within Irish waters.
This dataset measures the amount of rainfall (mm) in five minute intervals at nine rain gauge stations in the Greater Dublin Area. This dataset measures the amount of rainfall (mm) that falls weekly in five minute intervals at nine rain gauge stations in the Greater Dublin Area. 'The dataset contains information fields on location of Outstation (OS_NAME), Point name of raingauge (PT_NAME), interval between readings (Timebase, Derivation), Timedate (Timestamp), Reading in mimilmetres (Value) and an additional field for manual input of reading in case of rain gauge error (Manual).'The outstation code names (also available in text file) are as follows:'BME_TW, Ballymore Eustace'RWD_TW, Roundwood'B_BREENA, Boharnebreena'BMUN_DR, Ballymun Road'CHAPELIZ, Cjhapelizod'GRNGE_PS, Grange Road'RING_MLS, Ringsend Main Lift Station'UCD_SMD, University College Dublin'MOBILE_R, currently located at Civic Offices
Recycled material weights collected at Dublin City Bring Centres Monthly Weights collected in kgs at Dublin City Council bring centres, including glass, cans, batteries, paper and plastic.
Control of emissions from solvents Under two pieces of legislation, the Air Monitoring and Noise Control Unit of Dublin City Council is involved in the assessment of applications for Certificates of compliance/approval in relation to solvent use. This dataset comprises two spreadsheets; the VOC (Volatile Organic Compounds) Register and DECO (Paints) Register, which contain names and addresses of the registered car sprayers and dry cleaners in Dublin City and expiry dates of certificates.'The EUROPEAN UNION (INSTALLATIONS AND ACTIVITIES USING ORGANIC SOLVENTS) REGULATIONS 2012 sets controls on emissions of VOCs from various commercial activities including dry cleaners, sheet metal work, manufacturers of metal gates and fencing, electronics manufacturing and pharmaceutical manufacture etc. Many of these types of business may be included or exempted under these Regulations depending on the quantity of solvent used.'Under the EUROPEAN UNION (PAINTS, VARNISHES, VEHICLE REFINISHING PRODUCTS AND ACTIVITIES) REGULATIONS 2012 , all businesses which carry out vehicle refinishing i.e. car spray painting, must be registered with the relevant Local Authority. Inspections of VOC premises are carried out and if the Environmental Health Officer is satisfied, then a Certificate of Compliance is issued to the company. 'Annual report published online http://www.dublincity.ie/WaterWasteEnvironment/AirQualityMonitoringandNoiseControl/AirPollution/Pages/Solvents.aspx
Seascape effects of wind turbines up to 15km from shoreline are downloadable as GIS shapefiles. SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below).A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All SEA volumes are accessible by using the search bar in SEAI's website (http://www.seai.ie).The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf
Seascape effects of wind turbines up to 24km from shoreline are downloadable as GIS shapefiles.SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below).A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All SEA volumes are accessible by using the search bar in SEAI's website (http://www.seai.ie).The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf
Seascape effects of wind turbines up to 35km from shoreline are downloadable as GIS shapefiles.SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below).A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All SEA volumes are accessible by using the search bar in SEAI's website (http://www.seai.ie).The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf
Seascape effects of wind turbines up to 5km from shoreline are downloadable as GIS shapefiles. SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below). A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All volumes of the SEA are accessible by using the search bar in SEAI's website (http://www.seai.ie). The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf
This dataset contains number of solar installations and capacity (in kW) since 2001 and per locality. The data is organised by size of solar installation. It is provided by the Australian Photovoltaic Institute.
Licence applications granted for tables and chairs on the public footpath. Businesses wishing to place table and chairs on the public pavement outside their premises need to apply for street furniture licences from the local authority. Details in this dataset include application number, application received premises name, address, grant of licence, and area licensed, number of tables licensed, length and width of area licences, total area in square metres and whether there is a private landing. Private landings in this context indicates that part of the pavement is not in the ownership of the local authority. Please note: This dataset is a snapshot representation of Street Furniture Licences DCC as of 21/10/2021. This dataset includes Date App Received, Permission Name, and Address…….. Maintained by Dublin County Council only. Changes and upgrades occurring since then may not be represented.
Register and Map of Sustainable Urban Drainage Systems (SUDs) completed in Dublin City Council area This database contains location and description information for Sustainable Urban Drainage Systems (SUDs) installed as per final drainage drawings referenced to planning applications granted by Dublin City Council between 2005-09. 'SUDs is a sustainable approach to rainwater management that mimics natural hydrological processes to reduce stormwater runoff and add amenity value. Typical SUDs installations included in register include attenuation tank, permeable paving, detention pond, swales, green roof, infilatration trences/soakaways, filter drains, permeable paving, filter drain etc. For further information on SUDs see www.irishsuds.com.'Information fields include location address, landuse (as granted), national grid co-ordinates, planning application reference, status (planning, under construction or constructed), previous landuse, ownership, maintained by (public or private), area (permeable and impermeable surfaces), type of device, reason for installation, physical features (shape, size etc), outflow limit (limit of flow off site in litres/second), ecological features (plant life) and water quality.'Spatial co-ordinatesfor each SUDs are given in Irish Grid and an overall GIS Map shows the distribution of SUDs installations across Dublin City. Spatial Projection: IG, MapInfo
Traffic Lights List of total amount of kilo watts per hour used from traffic lights annually. Location of traffic lights not stated.
Weibull distribution parameters, k (shape) and C (scale), of wind speeds in metres per second (m/s) at 20m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. The required modelling and compilation were completed in 2013, by analysing measurements taken during 2001--2010. The Weibull parameters, in 1 km grid resolution, were calculated from means and standard deviations using Method 3 in Justus et al. (1978). Finally, zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. *References* Justus, C. G., Hargraves, W. R., Mikhail, A. and Graber, D., (1978) Methods for Estimating Wind Speed Frequency Distributions. J. Appl . Meteor., 17(3), pp. 350–353.
Weibull distribution parameters, k (shape) and C (scale), of wind speeds in metres per second (m/s) at 30m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. The required modelling and compilation were completed in 2013, by analysing measurements taken during 2001--2010. The Weibull parameters, in 1 km grid resolution, were calculated from means and standard deviations using Method 3 in Justus et al. (1978). Finally, zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. *References* Justus, C. G., Hargraves, W. R., Mikhail, A. and Graber, D., (1978) Methods for Estimating Wind Speed Frequency Distributions. J. Appl . Meteor., 17(3), pp. 350–353.
Weibull distribution parameters, k (shape) and C (scale), of wind speeds in metres per second (m/s) at 50m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. The required modelling and compilation were completed in 2013, by analysing measurements taken during 2001--2010. The Weibull parameters, in 1 km grid resolution, were calculated from means and standard deviations using Method 3 in Justus et al. (1978). Finally, zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. *References* Justus, C. G., Hargraves, W. R., Mikhail, A. and Graber, D., (1978) Methods for Estimating Wind Speed Frequency Distributions. J. Appl . Meteor., 17(3), pp. 350–353.
Weibull distribution parameters, k (shape) and C (scale), of wind speeds in metres per second (m/s) at 75m above ground level. These datasets cover the geographic land area of Ireland and Irish Internal Waters. The required modelling and compilation were completed in 2013, by analysing measurements taken during 2001--2010. The Weibull parameters, in 1 km grid resolution, were calculated from means and standard deviations using Method 3 in Justus et al. (1978). Finally, zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. *References* Justus, C. G., Hargraves, W. R., Mikhail, A. and Graber, D., (1978) Methods for Estimating Wind Speed Frequency Distributions. J. Appl . Meteor., 17(3), pp. 350–353.
Wind power densities in watts per square metre (W/m²) at 50m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland), and emanate from a 2003 wind mapping project. The 2003 project reported that some experts regarded mean wind power density as a more accurate indicator of the wind resource. Wind power density (ρw), which depends on the air density (ρ) and the cube of the mean wind speed (V), is calculated by formula: ρw = 0.5ρV³. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).
Wind power densities in watts per square metre (W/m²) at 75m height. These datasets cover the land area and coastal waters of Ireland (ex. Northern Ireland), and emanate from a 2003 wind mapping project. The 2003 project reported that some experts regarded mean wind power density as a more accurate indicator of the wind resource. Wind power density (ρw), which depends on the air density (ρ) and the cube of the mean wind speed (V), is calculated by formula: ρw = 0.5ρV³. Zipped collections of shapefiles are available in two spatial reference or coordinate systems: 1) Irish Transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's 2003 datasets of wind characteristics assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).