Publications

@inproceedings{Bogatu2021,

title = {Evaluation of energy performance of mechanical ventilation control strategies under different climatic conditions},

author = {Dragos-ioan Bogatu and Ongun Berk Kazanci and Charalampos Angelopoulos and Daniel Coakley and Bjarne W. Olesen},

url = {https://www.conftool.pro/bs2021/index.php/30840_Bogatu_Dragos-Ioan.pdf?page=downloadPaper&filename=30840_Bogatu_Dragos-Ioan.pdf&form_id=30840},

year  = {2021},

date = {2021-01-01},

booktitle = {Building Simulation 2021},

publisher = {IBPSA},

address = {Bruges, Belgium},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Vasudevan2021,

title = {Monitoring Indoor Environmental Quality ( IEQ ) in Buildings with Distributed Sensing},

author = {Joshua Vasudevan and Daniel Coakley and Charalampos Angelopoulos and Graeme Jephson and Parag Rastogi and Olivia Nile Sobek and Graeme Jephson and Mahroo Eftekhari and Vanda Dimitriou},

year  = {2021},

date = {2021-01-01},

booktitle = {IAQ 2020: Indoor Environmental Quality Performance Approaches},

pages = {1--8},

publisher = {ASHRAE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Vering2021,

title = {Digital Twin Design with On-Line Calibration for HVAC Systems in Buildings},

author = {Christian Vering and Sebastian Borges and Daniel Coakley and Hannah Krützfeldt and Philipp Mehrfeld and Dirk Müller},

url = {https://www.conftool.pro/bs2021/index.php/30117_Vering_Christian.pdf?page=downloadPaper&filename=30117_Vering_Christian.pdf&form_id=30117},

year  = {2021},

date = {2021-01-01},

booktitle = {Building Simulation 2021},

publisher = {IBPSA},

address = {Bruges, Belgium},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Olesen2019,

title = {The effect of room temperature control by air- or operative temperature on thermal comfort and energy use},

author = {Bjarne W. Olesen and Haiying Wang and Ongun B. Kazanci and Daniel Coakley},

year  = {2019},

date = {2019-09-01},

booktitle = {Proc. of 16th IBPSA International Conference and Exhibition},

address = {Rome, Italy},

abstract = {The most commonly used thermostat control variable in heating, ventilating and air-conditioning systems is air temperature. The requirement for thermal comfort in international standards are however based on operative temperature. Will the adoption of operative temperature based control lead to better thermal comfort and how will this affect the energy use? The position and type of thermostat may also influence the comfort in the occupied zone. These questions were studied by simulations of three heating and cooling systems, fan-coil system (convective system) and two radiant systems: floor heating/cooling system and radiant ceiling heating/cooling panel system in three different geographical locations (Copenhagen, Paris and Rome). Besides the simulations, the influence of the position was tested in an experimental room with a convective and a radiant heating/cooling system.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Vering2019,

title = {Unlocking Potentials of Building Energy Systems ' Operational Efficiency : Application of Digital Twin Design for HVAC systems},

author = {Christian Vering and Philipp Mehrfeld and Markus Nürenberg and Daniel Coakly and Moritz Lauster and Dirk Müller},

year  = {2019},

date = {2019-09-01},

booktitle = {Building Simulation 2019},

address = {Rome, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kazanci2019,

title = {A Review of Adaptive Thermal Comfort Implementation in International Thermal Comfort Standards},

author = {Ongun B. Kazanci and Daniel Coakley and Bjarne W. Olesen},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 ASHRAE Annual Conference},

pages = {1--3},

publisher = {ASHRAE},

address = {Kansas City, MO},

abstract = {Mechanical systems (heating, cooling, and ventilation systems) allow actively controlling the indoor environment in buildings. However, buildings can also be naturally conditioned or conditioned in a hybrid way (benefiting from both natural ventilation and mechanical ventilation in different times of the year or day, also known as mixed-mode). Several studies showed that people have different thermal perception, acceptability and preference depending on several factors, including the building conditioning type (mechanical, natural or mixed-mode). This has also been the essence of the “PMV vs. Adaptive thermal comfort” discussion. This study summarizes the main international thermal comfort standards in terms of their specifications for adaptive thermal comfort model application, and uncertainties that can create challenges and limitations when implemented in building and HVAC system control.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Aird2016a,

title = {Application of an Optimisation Approach for the Calibration of High-Fidelity Building Energy Models to support Model-Predictive Control (MPC) of HVAC Systems},

author = {Gordon Aird and Daniel Coakley and Ruth Kerrigan},

editor = {Neveen Hamza and Chris Underwood},

url = {https://www.researchgate.net/publication/308379055_Application_of_an_Optimisation_Approach_for_the_Calibration_of_High-Fidelity_Building_Energy_Models_to_support_Model-Predictive_Control_MPC_of_HVAC_Systems},

year  = {2016},

date = {2016-09-01},

booktitle = {Building Simulation and Optimisation},

pages = {250--257},

address = {Newcastle, UK},

abstract = {Heating, ventilation and air-conditioning (HVAC) accounts for up to 50% of building energy consumption, and studies have shown significant potential for savings through the utilisation of fault detection and smart predictive control in place of traditional reactive based control systems. This paper proposes a strategy for implementing intelligent model-predictive control (MPC) of HVAC systems based on calibrated high-fidelity models and real-time performance data. A genetic optimisation algorithm is proposed to improve the initial calibration of the highfidelity building energy models (BEM), and to generate, on a semi-automatic basis, the reduced-order models (ROM) on which the control optimisation algorithms are based. We also present a case study showing the application of the genetic optimisation approach on the development and calibration of a BEM for a 2,775m2 commercial building in Helsinki, Finland.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Coakley2016b,

title = {Development of Calibrated Operational Models of Existing Buildings for Real-Time Decision Support and Performance Optimisation},

author = {Daniel Coakley and Gordon Aird and Stephen Earle and Birthe Klebow and Catherine Conaghan},

year  = {2016},

date = {2016-04-01},

booktitle = {CIBSE Technical Symposium},

number = {April},

pages = {1--14},

address = {Edinburgh, Scotland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Coakley2016,

title = {Development of Calibrated Operational Models of Existing Buildings for Real-Time Decision Support and Performance Optimisation},

author = {Daniel Coakley and Gordon Aird and Birthe Klebow and Stephen Earle and Catherine Conaghan},

url = {http://www.cibse.org/technical-symposium-2016},

year  = {2016},

date = {2016-04-01},

booktitle = {CIBSE Technical Symposium},

publisher = {CIBSE},

address = {Edinburgh, Scotland},

abstract = {Building energy simulation tools are commonly used in design for performance appraisal and optimisation. However, numerous studies have found that actual building performance often deviates significantly from simulation predictions. A current EU-funded project, Energy in Time, aims to close the gap between design models and operation. A detailed framework has been developed, using IES-VE simulation software, to produce calibrated operational models which can support operational decision making, and real-time control optimisation. There are two phases to the calibration process: Phase 1 focuses on system-level model components (e.g. Lighting, Occupancy, HVAC systems, internal loads, etc.). In this phase, detailed building data, combined with genetic optimisation techniques, is used to calibrate relevant input parameters. In the case where system performance modelling is not necessary, free-form profiles (i.e. measured building data) are used to supplement these model components. Phase 2 focuses on whole-building model calibration. Once system-level noise has been eliminated, the remaining building-level parameters (e.g. central plant, electricity consumption, building fabric, infiltration etc.) are calibrated. The approach is supported by two novel developments in the IES-VE modelling environment: (1) Free-form Profiles: These are actual historic trends from existing building controllers, which are used to supplement model components where appropriate; (2) Genetic Optimisation algorithms are utilised to efficiently navigate the solution space to reduce discrepancies between the model and actual system performance. The entire calibration approach is built upon prior research efforts to standardise the calibration process using evidence-based model development, combined with sensitivity and uncertainty analysis.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Coffey,

title = {Assessing Capital Investment on Energy Improvement Projects from a Global Energy Management Perspective : A Tri-generation Case Study},

author = {Ronan Coffey and Daniel Coakley and Raymond Sterling and Noel Finnerty and Shane Mcdonagh and Marcus M Keane},

year  = {2016},

date = {2016-03-01},

booktitle = {Proc. of 9th International Conference Improving Energy Efficiency in Commercial Buildings and Smart Communities (IEECB&SC'16)},

pages = {1--9},

address = {Frankfurt, Germany},

abstract = {For multi-national companies, assessment of energy improvement projects across a global site-base requires a thorough understanding of the driving factors affecting energy consumption on each site. Traditionally, assessment is performed on the basis of single site-level audits. These audits provide quantitative metrics for the implementation of energy improvement projects such as economics (capital cost, operating costs, return on investment, net present value) and energy/greenhouse gas reductions. However, audits do not typically assess, holistically for all sites, metrics concerning the three levels of abstraction namely system, facility and global. In order to improve effectiveness of capital spending in terms of corporate social responsibility (CSR), sustainability, business continuity and return on investment, it is necessary to develop standardised approaches for auditing sites across a global site- base. This paper will present a case study for the assessment of a capital energy improvement project in a manufacturing facility in an organisation with a global site-base that is implementing a global energy management system. The paper will show, from the site's point of view, the interactions between the project life cycle and the corporate management for the process of approval of capital expenditure in energy improvement. Boston Scientific, a leading multinational medical device company with a diverse global presence, provides a robust demonstrator via the incorporation of tri-generation system in one of its facilities.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Mccabe2016,

title = {Synthesis and Refinement of Artificial HVAC Sensor Data for Supervised Learning in Data-Driven AFDD Techniques},

author = {David Mccabe and Daniel Coakley and Catherine Conaghan and Ruth Kerrigan},

url = {http://www.ectp.org/enewsportal/index.php?option=com_jevents&task=icalrepeat.detail&evid=297&Itemid=0&year=2016&month=03&day=16&title=9th-international-conference-on-improving-energy-efficiency-in-commercial-buildings-and-smart-communities-ieecb-sc-16-16-},

year  = {2016},

date = {2016-03-01},

booktitle = {Proc. of 9th international conference on Improving Energy Efficiency in Commercial Buildings and Smart Communities (IEECB&SC'16)},

pages = {1--7},

address = {Frankfurt (DE)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Coakley2016a,

title = {Smart Cities to Smart Building Control: Research to Reality},

author = {Daniel Coakley},

year  = {2016},

date = {2016-02-01},

booktitle = {ASHRAE Ireland Conference 2016},

address = {Dublin, Ireland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Hajdukiewicz2015,

title = {Real-time control of Occupants Thermal Comfort in Buildings},

author = {Magdalena Hajdukiewicz and Padraig O' Connor and Colin O' Neill and Daniel Coakley and Marcus M. Keane and Eoghan Clifford},

year  = {2015},

date = {2015-12-01},

booktitle = {Proceedings of 14th Conference of International Building Performance Simulation Association (BS2015)},

number = {Fanger},

pages = {1640--1646},

address = {Hyderabad, India},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Coakley2015a,

title = {Barriers and issues with the creation of calibrated models},

author = {Daniel Coakley},

year  = {2015},

date = {2015-11-01},

booktitle = {Operational Energy Management of the Built Environment},

address = {Dublin, Ireland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Finnerty2015b,

title = {Development of a global energy management system for the life sciences industry: an energy management maturity model implementation},

author = {Noel Finnerty and Raymond Sterling and Daniel Coakley and Marcus M. Keane.},

url = {http://www.cleanerproductionconference.com/},

year  = {2015},

date = {2015-11-01},

booktitle = {Proc. of Global Cleaner Production & Sustainable Consumption Conference},

address = {Barcelona, Spain},

abstract = {The Global Energy Management System (GEMS) research project proposes a novel methodology for assessing capital energy-efficiency projects at a global level. The project scope covers the systematic development and implementation of a methodology that supports sustainable decision making based on the following four pillars: (1) Site Characterisation: understanding what drives energy use on each site. (2) Performance Evaluation: comparing a site's energy performance over time, against the global network and external peers. (3) Shared learning and dissemination: ensuring the best methodologies are proliferated across the network (4) Corporate Policy: investment strategies based on the value of energy incorporating standard financial performance metrics, business continuity process (BCP) and corporate social responsibility (CSR). In particular, this paper presents the development and implementation of an energy management maturity model as a fundamental step in two of the above pillars: Site Characterisation and Performance Evaluation. The energy management maturity model aims to provide a global view of the overall network readiness for engaging in energy efficiency activities and a baseline from which all sites can improve from.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Finnerty2015c,

title = {Development of a global energy management system (GEMS) for the life sciences industry},

author = {Noel Finnerty and Daniel Coakley and Raymond Sterling and Marcus M. Keane and Ronan Coffey},

url = {http://www.uws.ac.uk/workarea/downloadasset.aspx?id=19327355722},

year  = {2015},

date = {2015-08-01},

booktitle = {Proc. of 8th International Conference on Sustainable Energy & Environmental Protection (SEEP 2015)},

address = {Glasgow, Scotland},

abstract = {For multi-national companies, assessment of cost effective energy efficiency projects across a global site base is a complex problem involving multiple variables. This research project proposes a novel methodology for driving optimal energy efficiency and assessing capital projects at a global level. The project scope will cover the systematic development and implementation of a methodology that supports sustainable decision making within a ‘Global Energy Management System' (GEMS). It will be based on the following four pillars: (1) Site Characterization (2) Performance evaluation via formalized key performance indicators (KPI's) and standards-based energy benchmarking (3) Shared learning and dissemination (4) Investment strategies incorporating business continuity process (BCP) and corporate social responsibility (CSR) in addition to standard financial performance metrics. A leading multinational medical device company with a diverse global presence will provide a robust demonstrator.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Engineering2015,

title = {Assessment and Planning for the Application of Fault Detection and Diagnosis (FDD) to Building Water Networks, A WATERNOMICS Approach},

author = {Niall Chambers and Daniel Coakley and Mark McCaffrey and Ed Curry and Marcus Keane and Andrea Costa and Eoghan Clifford},

year  = {2015},

date = {2015-06-01},

booktitle = {Proc. of 36th IAHR World Congress},

address = {The Hague, Netherlands},

abstract = {Waternomics is an EU-funded research project that addresses key challenges regarding the efficient management of, and decision support tools within, the water supply sector. A novel aspect of the Waternomics project is to apply Fault Detection and Diagnostics (FDD) to building water networks in order to identify faults (leaks, malfunctioning equipment, inefficient operation etc.). FDD is a measurement science which has traditionally been used in buildings for Heating Ventilation and Air-Conditioning (HVAC) systems to identify and rectify faults at the earliest possible stage and thus reduce maintenance costs, increase efficiency and result in energy savings of between 10 and 30%. To date, these FDD tools have not been applied systematically to building water infrastructure. This Waternomics project aims to develop and implement FDD systems, in a number of large scale pilots; (i) a municipal water based demonstration in the National University of Ireland, Galway engineering building and a school in Galway City (both in Ireland) (ii) a corporate operator in Linate airport, Milan, Italy and (iii) domestic users in Thermi, Greece. This paper specifically describes the standard based methodology to be used in applying FDD to a building, which has been developed thus far from the NUI Galway Engineering pilot site.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}