Daniel Coakley

A systematic decision support framework and prioritization method for energy projects in industrial organisations

This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 through a TP agreement between the SFI Centre for Ireland’s Big Data and Analytics Research, ZuTec Inc. Ltd and Boston Scientific Corporation.This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 through a TP agreement between the SFI Centre for Ireland’s Big Data and Analytics Research, ZuTec Inc. Ltd and Boston Scientific Corporation.The 10th International Conference on Sustainable Energy and Environmental Protection – SEEP 2017 was organised on June 27th – 30th 2017 in Bled, Slovenia, by: • Faculty of Chemistry and Chemical Engineering, University of Maribor, Slovenia, • University of the West of Scotland, School of Engineering and The aim of SEEP2017 is to bring together the researches within the field of sustainable energy and environmental protection from all over the world. The contributed papers are grouped in 18 sessions in order to provide access to readers out of 300 contributions prepared by authors from 52 countries. We thank the distinguished plenary and keynote speakers and chairs who have kindly consented to participate at this conference. We are also grateful to all the authors for their papers and to all committee members. We believe that scientific results and professional debates shall not only be an incentive for development, but also for making new friendships and possible future scientific development projects.

Assessing capital investment on energy improvement projects from a global energy management perspective: a tri-generation case study

This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 through a TP agreement between the SFI Centre for Ireland’s Big Data and Analytics Research, ZuTec Inc. Ltd and Boston Scientific Corporation

Development of a global energy management system for the life sciences industry: an energy management maturity model implementation

The authors wish to acknowledge support provided in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 through a TP agreement between the SFI Centre for Ireland’s Big Data and Analytics Research, ZuTec Inc. Ltd and Boston Scientific Corporation

Defining corporate energy policy and strategy to achieve carbon emissions reduction in non-energy intensive multi-site industrial organisations

This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 through a TP agreement between the SFI Centre for Ireland’s Big Data and Analytics Research, ZuTec Inc. Ltd and Boston Scientific Corporation.This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 through a TP agreement between the SFI Centre for Ireland’s Big Data and Analytics Research, ZuTec Inc. Ltd and Boston Scientific Corporation.The 10th International Conference on Sustainable Energy and Environmental Protection – SEEP 2017 was organised on June 27th – 30th 2017 in Bled, Slovenia, by: • Faculty of Chemistry and Chemical Engineering, University of Maribor, Slovenia, • University of the West of Scotland, School of Engineering and The aim of SEEP2017 is to bring together the researches within the field of sustainable energy and environmental protection from all over the world. The contributed papers are grouped in 18 sessions in order to provide access to readers out of 300 contributions prepared by authors from 52 countries. We thank the distinguished plenary and keynote speakers and chairs who have kindly consented to participate at this conference. We are also grateful to all the authors for their papers and to all committee members. We believe that scientific results and professional debates shall not only be an incentive for development, but also for making new friendships and possible future scientific development projects.

Development of a global energy management system (GEMS) for the life sciences industry

The authors would like to acknowledge Boston Scientific Corporation for enabling this industrial and academic collaboration.

Results from testing of a “cloud based” automated fault detection and diagnosis tool for AHU's

Heating Ventilation and Air Conditioning (HVAC) system energy consumption, on average, accounts for 40% of an industrial sites total energy consumption. Studies have demonstrated that continuous commissioning of building systems for optimum efficiency can yield savings of an average of over 20% of total energy cost. Automated Fault Detection and Diagnosis (AFDD) can be used to assist the commissioning process at multiple stages. This paper outlines the development of an AFDD tool for AHUs using expert rules. It outlines the results of the alpha testing phase of the tool on 18 AHUs across four commercial & industrial sites with over €104,000 annual energy savings detected by the AFDD tool.