Time filter

Source Type

Dublin, Ireland

Electric Ireland is the supply division of the Electricity Supply Board, the former monopoly electricity company in Ireland. The company now operates in an open market competing for the supply of retail electricity to residential customers. Other major suppliers are Airtricity and, more recently, Bord Gáis Energy. The business was known as ESB Customer Supply and ESB Independent Energy before 4 April 2011. The brand was a transitional one; in January 2012, all references to ESB were dropped and it is simply known as Electric Ireland. Wikipedia.

Reilly D.,Dublin Institute of Technology | Duffy A.,Dublin Institute of Technology | Willis D.,Electric Ireland | Conlon M.,Dublin Institute of Technology
Energy and Buildings | Year: 2013

Recent European legislation (Energy Efficiency Directive) has allocated some responsibility for residential end use energy efficiency to energy supply companies. In order to overcome data and modelling limitations associated with statistical and engineering modelling approaches to energy efficiency and renewable energy retrofit measures, energy suppliers and policy-makers often use simplified methods with limited data requirements to assess dwellings. One approach employed is an asset rating method (ARM); a standardised approach to residential energy demand estimation which is outlined in ISO EN 13790 (Energy Performance of Buildings Directive). Although it is a simplified method which industry is well-equipped to deliver, it is time-consuming to apply ARMs to the large domestic customer bases of energy suppliers. A small per-dwelling time saving will result in significant overall efficiencies for these users. This study examines the effect that reducing input data requirements of the ARM has on the accuracy of the methodology and comments on the trade-off between model simplification and accuracy. We find that it is possible to maintain a high degree of accuracy (∼95%) with 20 fewer variables than the baseline model. This is equivalent to almost 40% fewer variables than in the full model and represents a significant saving in effort. © 2013 Elsevier B.V. All rights reserved. Source

Breslin J.G.,Electric Ireland
Studies in Computational Intelligence | Year: 2014

As we move towards an era of Smart Environments, mixed technological and social solutions must be examined to continue to allow users some control over their environment. Realisations of Smart Environments such as Smart Cities and Smart Buildings bring the promise of an intelligently managed space that maximises the requirements of the user while minimising resources. Our approach is to create lightweight Cyber Physical Social Systems that aim to include building occupants within the control loop to allow them some control over their environment. We motivate the need for citizen actuation in Building Management Systems due to the high cost of actuation systems. We define the concept of citizen actuation and outline an experiment that shows a reduction in average energy usage of 26%. We outline a use case for citizen actuation in the Energy Management domain, propose architecture (a Cyber-Physical Social System) built on previous work in Energy Management with Twitter integration, use of Complex Event Processing (CEP), and discuss future research in this domain. © Springer International Publishing Switzerland 2014. Source

Rodriguez-Martin D.,Polytechnic University of Catalonia | Sama A.,Polytechnic University of Catalonia | Perez-Lopez C.,Polytechnic University of Catalonia | Catala A.,Polytechnic University of Catalonia | And 2 more authors.
Expert Systems with Applications | Year: 2013

Analysis of human body movement is an important research area, specially for health applications. In order to assess the quality of life of people with mobility problems like Parkinson's disease o stroke patients, it is crucial to monitor and assess their daily life activities. The main goal of this work is the characterization of basic activities using a single triaxial accelerometer located at the waist. This paper presents a novel postural detection algorithm based in SVM methods which is able to detect and identify Walking, Stand, Sit, Lying, Sit to Stand, Stand to sit, Bending up/down, Lying from Sit and Sit from Lying transitions with a sensitivity of 97% and specificity of 84% with 2884 postures analyzed from 31 healthy volunteers. Parameters and models found have been tested in another dataset from Parkinson's disease patients, achieving results of 98% of sensitivity and 78% of specificity in postural transitions. The proposed algorithm has been optimized to be easily implemented in real-time system for on-line monitoring applications. © 2013 Elsevier Ltd. All rights reserved. Source

Kinsella C.E.,Trinity College Dublin | O'Shaughnessy S.M.,Trinity College Dublin | Deasy M.J.,Trinity College Dublin | Duffy M.,Electric Ireland | Robinson A.J.,Trinity College Dublin
Applied Energy | Year: 2014

This project involves the development of a rototype electrical generator for delivering and storing small amounts of electricity. Power is generated using the thermoelectric effect. A single thermoelectric generator (TEG) is utilised to convert a small portion of the heat flowing through it to electricity. The electricity produced is used to charge a single rechargeable 3.3. V lithium-iron phosphate battery. This study investigates methods of delivering maximum power to the battery for a range of temperature gradients across the thermoelectric module. The paper explores load matching and maximum power point tracking techniques. It was found that, for the TEG tested, a SEPIC DC-DC converter was only beneficial for temperature gradients less than 100 °C across the TEG. At a temperature gradient of 150 °C, the effective resistance of the battery was close to the internal resistance of the TEG. For temperature gradients in excess of 100. °C a DC-DC converter is not suggested and a simple charge protection circuit is sufficient. © 2013 Elsevier Ltd. Source

News Article | November 5, 2014
Site: venturebeat.com

Nest announced a partnership today with Electric Ireland to provide its smart thermostat for free to customers who sign a two-year contract with the utility. Tony Fadell, chief executive of Nest, confirmed the new partnership on stage today at the Web Summit in Dublin. “This is huge,” he said. “We think this is a huge announcement that could change Ireland.” Details of the partnership were not immediately available. Fadell said that Electric Ireland, which has 1.5 million customers, would be distributing the thermostat. Fadell dropped the news during a conversation about how being acquired by Google had changed Nest. He said that Google’s resources had allowed Nest to expand internationally much faster than it could have on its own.

Discover hidden collaborations