Lecturer in the Department of Civil & Environmental Engineering since 2008.
Dominic is Director of the Intelligent Efficiency Research Group (IERG) an award winning team of PhD and Masters Researchers specialising in the advancement of the next generation of energy efficiency technologies.
Areas of research interest include energy efficiency and demand side management in industry and buildings. More specifically Dominic’s research considers using IT to support this increasingly important area of Engineering.
Dominic formerly led an energy consultancy business and has supported a number of multinationals across Ireland, Europe and the US in reducing energy consumption. He has maintained industry links since returning to academia working with a number of industries in his I2E2 (Innovation for Ireland’s Energy Efficiency) research projects, such as Intel, De Puy, Xerox, Analog and Hewlett Packard. Dominic has also worked with IERC (International Energy Research Centre) which includes Bell Labs and UTRC (United Technology Research Centre) amongst its member companies.
Dominic continues to work with National and International Energy Agencies and is a representative on Ireland's Energy Standards Consultative Committee.
Director of The Intelligent Efficiency Research Group (IERG)
- Applying Smart Analytics to Improve Performance
MaREI – “Optimising the End-Use of Energy Generated from a Coastal Wind Turbine for use in a Manufacturing Plant”
Duration: Feb 2014-Jan 2017
Source: Science Foundation Ireland
Many modern manufacturing plants are looking to diversify their renewable energy portfolio through the use of large wind turbines attached to their site. The cost savings associated with wind turbines are dependent on correctly utilising the energy generated to minimise curtailment and synergise with other possible sources of power on-site, (e.g. CHP plants, PV panels). This study will investigate ways of optimising the manufacturing process to maximise the impact of an installed wind turbine on a manufacturing site.
MaREI – “The effective use and/or storage of renewable energy to supply dynamic industrial loads”
Duration: Feb 2014-Jan 2017
Source: Science Foundation Ireland
MaREI (Marine Renewable Energy Ireland) is a centre that brings together expert groups who have established themselves as international authorities in different aspects of Marine Renewable Energy. The centre is also researching energy mix scenarios faced by industry whereby companies have increased options for onsite energy generation, e.g. wind, biomass, CHP etc. To that end this project will develop decision support and data management tools for industries capitalising on big data analytics and cloud based computing to help in determining the optimum mix.
De Puy Innovation Partnership - "Development of a Smart Control System to optimise the energy consumption of Dust Extraction Systems"
Duration: Jan 2014 - Jun 2015
Source: Enterprise Ireland
Dust extraction in any manufacturing facility with prevalent grinding and/or polishing processes is a significant energy user of electricity on site. Dust extraction systems typically operate at a constant volume mode of operation whereby the fans operate to extract dust particles at a constant flow rate, irrespective of the scale of production and hence the level or type of dust to be extracted. This project aims to develop intelligent control algorithms as part of a “smart” controller, coupled with the retrofit of the current constant flow system to make it capable of variable flow. These algorithms will be designed to allow the control system to modulate the operation of the large fan motors to reduce air flow to the minimum required to transport dust through the system based on the particular particulates in the system at any given time.
MaREI – “Application of Expert Systems to Industrial Optimisation”
Duration: Jan 2014-Dec 2016
Source: Science Foundation Ireland
An expert system is a computer system which is capable of imitating the reasoning of a human expert within a particular area of knowledge. Applications of expert systems to industrial utility equipment have included fault detection and diagnosis (FDD), automated commissioning and optimisation. For an expert system to fault find or optimise an item of equipment involves a multi stage process comprising; data extraction from existing systems, fault finding or optimisation through rule based or model based diagnostic approaches, and typically some feedback or fault correction control action. Substantial work has been carried out to date in the application of expert systems to the optimisation of HVAC and refrigeration equipment. This research will develop expert systems for other industrial technologies which display potential for deployment of remotely based expert systems tools for whole system improvement of operation. The key technologies examined are boilers and air compressors.
GSK Innovation Partnership Feasibility - Golden Batch
Duration: Nov 2013-May 2014
Source: Enterprise Ireland
This project will seek to set the foundation for a full project which will utilise a modern manufacturing facility (GlaxoSmithKline, Cork) to advance the development of statistical process models which allow continual evaluation of a process to obtain a “Golden Batch” in terms of optimised energy consumption. This is a batch where the end-product is of a desired quality and is produced in the shortest time, at the lowest cost and at the least energy consumption.
EU Project Lead Support Funding (DISOMIR)
Duration: Jul 2012-May 2013
Source: Enterprise Ireland
This project involved forming and project managing a group of 11 researchers from industry and academia across Europe to submit an EU Framework 7 “Factory of the Future” proposal around the concept of “Demonstrating an Intelligent decision support System to Optimise Manufacturing and Integrate Renewables”. Although the project did not secure further funding it did score well above the thresholds required and was placed 3rd in its category out of over 100 applicants.
Innovation Voucher - SME to develop a framework that could be applied to the process of data retrieval
Duration: Mar 2013-Sep 2013
Source: Enterprise Ireland
This project involved developing a framework that could be applied to the process of data retrieval from the numerous proprietary communication protocols and systems that exist in the controls and data storage market. Companies such as SERC typically need data from a number of such systems, regardless of their chosen communication protocol. Once retrieved, this data could be more easily processed to allow the energy consultancy experts to concentrate on the ‘value add’ of their expertise rather than getting caught up with data access and retrieval issues that they are not familiar with.
The development of a multi-criteria decision support system to calculate an optimal energy supply mix for variable manufacturing loads
Duration: Oct 2013-Sep 2016
Source: Irish Research Council
This research revolves around the development of an energy focused, multi criteria intelligent decision support system, to optimise the use and storage of both electrical and thermal energy. Employing data from the Enterprise Partner, a large manufacturing environment with a mix of onsite generated and grid procured electrical and thermal energy, an optimum supply mix will be determined based on demand. The research will present methods that promote the discovery of new information through the implementation of big data, virtualisation and intelligent agents. These methods will be used to construct an intelligent decision support framework in DePuy Johnson & Johnson, with the aim of reducing energy consumption, using low granularity raw performance data, which can be abstracted in legacy decision support systems.
De Puy Innovation Partnership Feasibility - Data Harmonisation
Duration: Jul 2013-Jan 2014
Source: Enterprise Ireland
The objective of this feasibility study was to consider whether the application of Lean manufacturing prinicipals in real time could enable automated optimal production scheduling, ultimately leading to reductions in energy consumption and product lead times.
A detailed site survey of the different processes and systems was carried out, followed by a data availability analysis. A review of the LEAN and OE work being done in DePuy was carried out, highlighting the fact that although work is being done to achieve real time data availability and analysis, there are still gaps which need to be filled. From an End User Requirement analysis, it was found that many of the metrics being used currently are not optimal and could be refined with the availability of real time data and analytics. There is significant opportunity for a reduction in both energy usage and lead times, which would result in big savings for the company. The project is progressing for a full research grant to further implementation.
EMWiNS- Appropriate Energy-Monitoring Wireless Networked System
Duration: Dec 2011-Oct 2013
Source: IERC (International Energy Research Centre)
The EMWiNS project systematically developed a tool to support the embedded monitoring and fault isolation that forms the basis for automated continuous commissioning of HVAC systems in buildings. It achieved this though a combination of reduced order HVAC models and a model based diagnostic system. With further development the tool could transform energy and diagnostics models into embedded performance models that will continuously update their parameters based on actual building data, and report building energy performance and health-status information based on data from a wireless sensor network.
Water Utilisation Modelling and Optimisation in an Industrial Installation
Duration: Apr 2012-Jan 2015
Source: Irish Research Council
The introduction of ISO50001 Energy Management Systems in 2011 has assisted industries in effectively managing their energy consumption. Worldwide shortages in the availability of water of a suitable quality have now created a shift in focus towards its utilisation. Water is being proclaimed as "the new oil" with individuals and industries alike projecting ahead to the criticality and cost impact of this valuable resource.
Within this overall research scheme, it is proposed to consider Water as a utility resource in a similar manner to other environmental energy streams and create a software model of the water utilisation in a large industrial manufacturing facility. It is then proposed to assign categories and values to each of the different forms of treated/processed streams based on the inherent environmental and economic impact of the stream. Ultimately the model will be optimised using appropriate data analytics methods and novel optimisation techniques with a view to the optimum utilisation of each process stream. Feedback and recommendations shall then be generated.
I2E2 Automated Fault Detection and Diagnostic (AFDD) Software Tool
Duration: Jan 2011-Feb 2014
Source: I2E2 (Innovation for Ireland’s Energy Efficiency)
The primary goal of the research project was to develop, test and validate an automated Heating Ventilation and Air Conditioning (HVAC) Fault Detection and Diagnostics (FDD) software package. The I2E2 Industry Partner Sites (e.g. Pfizer, EMC, Intel and Xerox) were used for development support, prototype testing and performance monitoring. The Fault Detection and Diagnostics is based on research of faults in HVAC systems and the development of hierarchical relationships and rules between the different equipment and processes that make up the HVAC system. Installation of FDD technology which is based on “expert knowledge” would enable plant managers to identify faults and highlight operational and control inefficiencies that can often go undetected by plant operators for long periods. In addition, inefficient plant design and missed opportunities to reduce HVAC energy consumption will also be highlighted.
Dell Sponsored Student Summer Research
Duration: Jun 2009-Aug 2009
UCC has a diverse (in size and vintage) building stock serving a range of functions such as lecture theatres, libraries, office space, laboratories etc. This project set out to identify and understand the key drivers of energy consumption in UCC’s existing building stock by analysis of consumption data and profiles. The project analysed information from the campus Monitoring and Targeting (M&T) System as well as other data sources such as bills and Building Management Systems (BMS) to apportion the sites total energy consumption to the various energy account centres. On identifying the breakdown of energy consumers, analysis was carried out to identify the drivers or influencers of energy consumption such as occupancy profiles, weather patterns, term times etc. Identification of these influencing factors on energy consumption was then to be used in developing a strategic approach to energy reduction measures and prioritisation of buildings for renovation activities.
I2E2 Appropriate Working Environments Scoping Phase
Duration: Jan 2009-Dec 2010
Source: I2E2 (Innovation for Ireland’s Energy Efficiency)
This research, funded by a consortium of multinationals with a presence in Ireland (e.g. Intel, Analog, Xerox, EMC), set out to investigate practical methods of reducing the cost of providing “appropriate working environments” for product, people and machinery in Irish Manufacturing Plants. The research benefited from my considerable time spent in industry advising on advanced HVAC systems and controls. The project focused on strategies to reduce facility HVAC energy usage whilst maintaining the optimum environmental criteria for people and product. The research also produced documentation for the consortium members reviewing state of the art technologies and methodologies as well as ongoing research in the space.
Carbon Neutral Building Project
Duration: Dec 2008-Sep 2014
Source: Private Donor
The Carbon Neutral Building Project (CNBP) is researching the renovation of buildings to reduce their carbon footprint. The CNBP will deliver system solutions that are not alone strategically driven but are also environmentally and economically sustainable. Retrofit solutions will be proposed by an energy efficiency retrofitting modelling tool with solution optimization capabilities. Genetic algorithms for optimisation combined with static modelling technologies were used to deliver a solution. The project used existing UCC buildings to analyse, test and develop a hypothesis for optimal renovation towards achieving carbon neutrality.
|Start Date||End Date||Award|
|Foundation Funded Research Carbon Neutral Building Project||Foundation Funded Research||01-AUG-08||30-SEP-23||€500,000.00|
|SFI - Scholarship Summer Research Internship 209 Helen Guinane||Science Foundation of Ireland||08-JUN-09||30-AUG-09||€7,280.00|
|Appropriate working Environments Research Project, Development of a Fault Detection and Diagnostics Tool.||Enterprise Irl||01-JAN-11||01-APR-14||€296,272.00|
|Energy-Monitoring Wireless Networked System (ENWiNS)||Enterprise Irl||01-DEC-11||30-SEP-13||€113,219.00|
|Free Cooling Thermal Energy Storage using Phase Change Materials in an evaporative Cooling system.||Irish Research Council for Science, Engineering & Technology (IRCSET)||01-APR-12||31-MAR-15||€72,000.00|
|Proposal Preparation||Enterprise Irl||26-JUL-12||11-MAY-13||€12,500.00|
|Development of Smart Control System to Optimise Energy Consumption of Dust Extraction Systems.||Enterprise Irl||01-JAN-14||30-OCT-15||€161,665.00|
|SFI 12/RC/2302 MaREI Spoke 3 Industry contribution from DePuy (Ireland) - Dominic O'Sullivan||SFI Industry||01-MAR-14||28-FEB-17||€75,000.00|
|Dynamic Lean Manufacturing Towards Optimal Performance.||Enterprise Irl||15-JUL-13||04-JAN-14||€11,700.00|
|The development of an intelligent multi criteria decision support system to calculate an optimal energy supply mix for variable manufacturing loads.||Irish Research Council||01-OCT-13||30-SEP-16||€70,750.00|
|SFI 12/RC/2302 MaREI Spoke 3 SFI contribution to DePuy project - Dominic O'Sullivan||Science Foundation of Ireland||01-MAR-14||28-FEB-17||€147,736.00|
|Feasibility Study Grant/||Enterprise Irl||01-NOV-13||01-MAY-14||€11,700.00|
|R&D of an energy data extraction framework.||Enterprise Irl||14-MAR-13||30-SEP-13||€6,500.00|
|(2004)||PhD Thesis Improving Building Performance by Tracking Performance Metrics using an IFC Data Model. |
Dominic T.J. O' Sullivan (2004) PhD Thesis Improving Building Performance by Tracking Performance Metrics using an IFC Data Model. Cork: UCC. [Details]
|(2000)||Masters Thesis The Development of a Web Based Multimedia Information System for Building Appraisal. |
Dominic T.J. O' Sullivan (2000) Masters Thesis The Development of a Web Based Multimedia Information System for Building Appraisal. Cork, Ireland: UCC. [Details]
Peer Reviewed Journals
|(2017)||'The true value of water: A case-study in manufacturing process water-management' |
Walsh, Brendan P and Bruton, Ken and O'Sullivan, DTJ (2017) 'The true value of water: A case-study in manufacturing process water-management'. Journal Of Cleaner Production, 141 :551-567 [DOI] [Details]
|(2016)||'An industrial water management value system framework development' |
Walsh, Brendan P and Cusack, D Og and O’Sullivan, DTJ (2016) 'An industrial water management value system framework development'. Sustainable Production and Consumption, 5 :82-93 [DOI] [Details]
|(2016)||'IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities' |
Peter O' Donovan, Ken Bruton, Dominic T.J. O' Sullivan (2016) 'IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities'. International Journal of Prognostics and Health Management, 32 :2153-2648 [Details]
|(2015)||'Comparative analysis of the AHU InFO fault detection and diagnostic expert tool for AHUs with APAR' |
Bruton, K,Coakley, D,Raftery, P,Cusack, DO,Keane, MM,O'Sullivan, DTJ (2015) 'Comparative analysis of the AHU InFO fault detection and diagnostic expert tool for AHUs with APAR'. Energy Efficiency, 8 :299-322 [DOI] [Details]
|(2015)||'Big data in manufacturing: a systematic mapping study' |
Peter O'Donovan and Kevin Leahy and Ken Bruton and Dominic T. J. O'Sullivan (2015) 'Big data in manufacturing: a systematic mapping study'. Journal of Big Data, 2 (1) [DOI] [Details]
|(2015)||'An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities' |
P. O'Donovan and K. Leahy and K. Bruton and D. T. J. O'Sullivan (2015) 'An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities'. Journal of Big Data, 2 (1) [DOI] [Details]
|(2015)||'The water energy nexus, an ISO50001 water case study and the need for a water value system' |
Walsh, BP,Murray, SN,O'Sullivan, DTJ (2015) 'The water energy nexus, an ISO50001 water case study and the need for a water value system'. Water Resources and Industry, 10 :15-28 [DOI] [Details]
|(2013)||'Free-cooling thermal energy storage using phase change materials in an evaporative cooling system' |
Walsh, BP;Murray, SN;O'Sullivan, DTJ (2013) 'Free-cooling thermal energy storage using phase change materials in an evaporative cooling system'. Applied Thermal Engineering, 59 :618-626 [DOI] [Details]
|(2012)||'Static Simulation: A sufficient modelling technique for retrofit analysis' |
Murray, SN,Rocher, B,O'Sullivan, DTJ (2012) 'Static Simulation: A sufficient modelling technique for retrofit analysis'. Energy and Buildings, 47 :113-121 [DOI] [Details]
|(2004)||'Improving building operation by tracking performance metrics throughout the building lifecycle (BLC)' |
O'Sullivan, DTJ,Keane, MM,Kelliher, D,Hitchcock, RJ; (2004) 'Improving building operation by tracking performance metrics throughout the building lifecycle (BLC)'. Energy and Buildings, 36 :1075-1090 [DOI] [Details]
|(2014)||'Development and alpha testing of a cloud based automated fault detection and diagnosis tool for Air Handling Units' |
Bruton, K,Raftery, P,O'Donovan, P,Aughney, N,Keane, MM,O'Sullivan, DTJ (2014) 'Development and alpha testing of a cloud based automated fault detection and diagnosis tool for Air Handling Units'. Automation In Construction, 39 :70-83 [DOI] [Details]
|(2014)||'Multi-variable optimization of thermal energy efficiency retrofitting of buildings using static modelling and genetic algorithms - A case study' |
Murray, SN,Walsh, BP,Kelliher, D,O'Sullivan, DTJ (2014) 'Multi-variable optimization of thermal energy efficiency retrofitting of buildings using static modelling and genetic algorithms - A case study'. Building and Environment, 75 :98-107 [DOI] [Details]
|(2014)||'Review of automated fault detection and diagnostic tools in air handling units' |
Bruton, K,Raftery, P,Kennedy, B,Keane, MM,O'Sullivan, DTJ (2014) 'Review of automated fault detection and diagnostic tools in air handling units'. Energy Efficiency, 7 :335-351 [DOI] [Details]
|(2016)||Enabling Effective Operational Decision Making on a Combined Heat and Power System Using the 5C Architecture |
Bruton, Ken and Walsh, Brendan P and Og Cusack, Donal and O’Donovan, Peter and O'Sullivan, Dominic TJ (2016) Enabling Effective Operational Decision Making on a Combined Heat and Power System Using the 5C Architecture Enabling Effective Operational Decision Making on a Combined Heat and Power System Using the 5C Architecture , pp.296-301 [DOI] [Details]
|(2015)||Second International Conference on Sustainable Design and Manufacturing, Seville, Spain |
Dr Ken Bruton, Mr. Peter O'Donovan & Dr D.T.J O'Sullivan (2015) The application of web based LEAN Manufacturing tools to support the implementation of ISO 50001 - A Case Study Second International Conference on Sustainable Design and Manufacturing, Seville, Spain [Details]
|(2015)||Global Cleaner Production and Sustainable Consumption Conference |
Brendan P. Walsh, John McCarthy, D.T.J. O’Sullivan (2015) Making the next steps in getting product prices right: An Industrial Water-Management Value-System Framework Development Global Cleaner Production and Sustainable Consumption Conference [Details]
|(2015)||National Sustainability Summit, Dublin |
Brendan P. Walsh, John McCarthy, D.T.J. O’Sullivan (2015) Water Efficiency: An Industrial Water-Management Value-System Implementation & Case-Study National Sustainability Summit, Dublin [Details]
|(2013)||IMC30 Conference, Dublin |
Ken Bruton, Daniel Coakley, Peter O’Donovan, Marcus M. Keane & D. T. J. O'Sullivan (2013) Development of a “cloud” located, Expert Rule based AFDD tool for AHU’s: Field Test Results IMC30 Conference, Dublin [Details]
|(2012)||Proceedings of 9th ASMO/ISSMO conference on Engineering Design and Optimization Product and Process Improvement, Cork, Ireland |
S.N. Murray, D.T.J. O'Sullivan (2012) Proceedings of 9th ASMO/ISSMO conference on Engineering Design and Optimization Product and Process Improvement, Cork, Ireland Proceedings of 9th ASMO/ISSMO conference on Engineering Design and Optimization Product and Process Improvement, Cork, Ireland [Details]
|(2014)||ICEBO - International Conference for Enhanced Building Operations |
Sean Hayes, Ken Bruton, Dominic O' Sullivan (2014) Application of Expert Systems to Industrial Utility Equipment ICEBO - International Conference for Enhanced Building Operations [Details]
|(2013)||ICEBO - International Conference for Enhanced Building Operations |
Bruton, K.; Coakley, D.; O'Donovan, P.; Keane, M.; O'Sullivan, D. (2013) Development of an Online Expert Rule Based Automated fault Detection and Diagnostic (AFDD) Tool for Air Handling Units: Beta Test Results ICEBO - International Conference for Enhanced Building Operations [Details]
|(2012)||ICEBO - International Conference for Enhanced Building Operations |
Ken Bruton, Paul Raftery, Niall Aughney, M Keane, Dominic O'Sullivan (2012) Development of an Automated Fault Detection and Diagnosis tool for AHU's ICEBO - International Conference for Enhanced Building Operations [Details]
|(2016)||International Conference on Data Mining and Big Data |
Gallagher, Colm V and Bruton, Ken and O’Sullivan, Dominic TJ (2016) Utilising the Cross Industry Standard Process for Data Mining to Reduce Uncertainty in the Measurement and Verification of Energy Savings International Conference on Data Mining and Big Data , pp.48-58 [Details]
|(2015)||Annual Conference of the Prognostics and Health Management Society 2015 |
Peter O' Donovan, Kevin Leahy, Donal Og Cusack, Ken Bruton, Dominic T.J. O' Sullivan (2015) A Data Pipeline for PHM Data-Driven Analytics in Large-Scale Smart Manufacturing Facilities Annual Conference of the Prognostics and Health Management Society 2015 [Details]
|(2014)||Emerging Technology and Factory Automation (ETFA), 2014 IEEE |
Leahy, Kevin and Bruton, Ken and O'Sullivan, Dominic (2014) Implementing the Green Batch: A case study: Continuous statistical evaluation to achieve the most energy efficient and reliable process Emerging Technology and Factory Automation (ETFA), 2014 IEEE , pp.1-4 [Details]
|(2013)||Emerging Technologies \& Factory Automation (ETFA), 2013 IEEE 18th Conference on |
Bruton, Ken and Coakley, Daniel and Donovan, Peter O and Keane, Marcus M and O'Sullivan, DTJ (2013) Results from testing of a “cloud based” automated fault detection and diagnosis tool for AHU's Emerging Technologies \& Factory Automation (ETFA), 2013 IEEE 18th Conference on , pp.1-8 [Details]
|(2012)||First Building Simulation and Optimization Conference, Loughborough, UK |
Murray, Sean N and O’Sullivan, DTJ (2012) An optimization methodology and sensitivity analysis of existing building retrofits First Building Simulation and Optimization Conference, Loughborough, UK , pp.10-11 [Details]
|(2011)||Sustainable Development 2011 |
Brendan Walsh, Dominic O' Sullivan (2011) The Application of Phase Change Materials to Evaporative Cooling for Thermal Energy Storage in Ireland Sustainable Development 2011 Dublin, [Details]
|(2011)||Sustainable Development 2011 |
Sean Murray, Dominic O' Sullivan (2011) The Carbon Neutral Building Project Sustainable Development 2011 [Details]
|(2002)||International Conference on Systems Simulation in Buildings (SSB2002) |
O'Sullivan, D.T.J, Keane M.M. and Kelliher, D.; (2002) Specification of a STEP compliant integrated environment to support performance based assessment and control of building energy systems . In: * eds. International Conference on Systems Simulation in Buildings (SSB2002) Liege, Belgium, , 15-DEC-02 - 18-DEC-02 , pp.*-* [Details]
|(2000)||Building Education and Research (BEAR). http://murmur.arch.gatech.edu/~bear2000/ |
O' Sullivan, D.T.J, Keane, M.M.; (2000) The specification of a web based multimedia information system for building appraisal . In: * eds. Building Education and Research (BEAR). http://murmur.arch.gatech.edu/~bear2000/ Georgia Institute of Technology, USA, , 16-MAY-00 - 18-MAY-00 , pp.*-* [Details]
|(2014)||6th International Conference on Sustainability in Energy and Buildings |
Sterling, R., Provan, G., Febresa,J., O’Sullivan, D.T.J., Struss, P., Keane, M.M. (2014) Model-based Fault Detection and Diagnosis of Air Handling Units: A Comparison of Methodologies . In: Elsevier eds. 6th International Conference on Sustainability in Energy and Buildings Cardiff, Wales, UK, , 25-JUN-14 - 27-JUN-14 , pp.686-693 [DOI] [Details]
|(2014)||IEEE International Conference on Emerging Technologies and Factory Automation |
John McCarthy; Dominic O'Sullivan (2014) A Data Access Framework for Integration to Facilitate Efficient Building Operation IEEE International Conference on Emerging Technologies and Factory Automation [Details]
|(2016)||Industrial Water Demand-side Management. |
Brendan P. Walsh, D.T.J. O’Sullivan (2016) Industrial Water Demand-side Management. Engineers Ireland, The Engineers Journal, the official journal of Engineers Ireland. [Details]
|(2010)||Current Standard Solutions for Buildings and Considerations when Retrofitting Buildings Report 2010. |
O' Sullivan, D; (2010) Current Standard Solutions for Buildings and Considerations when Retrofitting Buildings Report 2010. Sustainable Energy Authority of Ireland, Dublin. [Details]
|(2010)||HVAC ‘State of the Art’ Technology Guide For Controlled Environments in Manufacturing Plants. |
D. Craddock, A. Kosiel, B. Keohane, D.T.J. O’Sullivan (2010) HVAC ‘State of the Art’ Technology Guide For Controlled Environments in Manufacturing Plants. UCC, Cork, Ireland. [Details]
|(2010)||HVAC Energy Efficiency Guide For Controlled Environments in Manufacturing Plants. |
D. Craddock, A. Kosiel, B. Keohane, D.T.J. O’Sullivan (2010) HVAC Energy Efficiency Guide For Controlled Environments in Manufacturing Plants. UCC, Cork, Ireland. [Details]
|(2009)||SEI Energy Efficient Design Methodology 2009. |
O' Sullivan, D., Bruton, K., Leddy, C.; (2009) SEI Energy Efficient Design Methodology 2009. Sustainable Energy Authority of Ireland, Dublin. [Details]
|(2008)||SEI HVAC Special Working Group Report 2007. |
O' Sullivan, D., Morrison, R.; (2008) SEI HVAC Special Working Group Report 2007. Sustainable Energy Authority of Ireland, Dublin. [Details]
Honours and Awards
|2008||CEM (Certified Energy Manager)||AEE - Association of Energy Engineers|
|2011||CMVP (Certified Measurement and Verification Professional)||EVO - Efficiency Valuation Organisation|
|2014||SEAI Research Project of the Year Award||Sustainable Energy Authority of Ireland|
|2013||iMERC Innovation of the Year Runner-Up||Irish Maritime and Energy Resource Cluster|
|2012||UCC ICT Invention of the Year Winner||University College Cork|
|Association||Function||From / To|
|International Building Performance Simulation Association||Vice President||01-JAN-13 / 08-JAN-15|
|Association of Energy Engineers||Secretary - Ireland Chapter||01-JAN-08 / 01-JAN-11|
|Committee||Function||From / To|
|Admissions Committee||Chair||2013 / 2015|
|Accreditation Committee||Member of both Energy and Cvil Engineering Accreditation Committees||2014 /|
|Staff Student Committee||Member||2012 / 2015|
|Student Placement Committee||Member||2014 / 2015|
|UCC Energy Committee||Academic Representative||2008 / 2015|
|Timetabling Committee||Civil Engineering Representative||2010 /|
|Employer||Position||From / To|
|University College Cork||Lecturer||01-DEC-08 / 08-JAN-15|
|Eirdata||Energy Engineer||01-MAR-04 / 01-MAR-06|
|Eirdata||Energy Services Manager||01-MAR-06 / 01-DEC-08|
|1998||University College Cork||BACHELOR OF ENGINEERING||Civil|
|2005||University College Cork||PhD||Improving Building Performance by Tracking Performance Metrics Throughout the Building Life Cycle|
|2000||University College Cork & University of California||MEngSc||Development of a Web Based Multimedia Information System for Building Appraisal|
Dominic consults with the SEAI (Sustainable Energy Authority of Ireland).
Dominic is a representative on Ireland's Energy Standards Consultative Committee which reviews and considers incoming legislation from a National perspective and provides input to proposed new International standards.
Dominic acts as a reviewer for South Africa’s National Research Foundation (NRF) and was complimented for my input;
“Your report for the applicant(s) you evaluated was regarded as a most valuable contribution by members of the Assessment Panel and greatly assisted the NRF in reaching a decision.”
Teaching InterestsTeaching interests include energy efficiency and demand side management in industry and buildings. More specifically Dominic’s research considers using IT to support this increasingly important area of Engineering, termed Intelligent Efficiency.
|Graduation Year||Student Name||Institution||Degree Type||Thesis Title|
|2015||Murray Sean Noel||University College Cork||PHD||The Application of Computer Modelling to develop a Methodology for 'Existing Building' Upgrades to Move Towards Carbon-Neutral Buildings|
|2011||Walsh Brendan Patrick||University College Cork||MEngSc||Free-Cooling Thermal Energy Storage using Phase Change Materials in an Evaporative Cooling System|
|2014||Bruton Kenneth Andrew||University College Cork||PHD||The Use of Fault Detection and Diagnostics to Reduce HVAC System Energy Consumption|
|Dr. Denis Kelliher||Univesity College Cork||IRELAND|
|Prof. Gregory Provan||University College Cork||IRELAND|
|Name||Organisation / Institute||Country|
|Dr. Marcus M. Keane||National University of Ireland Galway||IRELAND|
|IERC||International Energy Research Centre||IRELAND|
|I2E2||Innovation for Irelands Energy Efficiency||IRELAND|