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Open AccessProceedings

A Global Energy Management System to Support Sustainable Decision Making

1
Informatics Research Unit for Sustainable Engineering (IRUSE), Galway H91 TK33, Ireland
2
College of Engineering and Informatics, Ryan Institute, National University of Ireland, Galway H91 TK33, Ireland
3
Boston Scientific Corporation, Ballybrit Business Park, Galway H91 Y868, Ireland
4
Insight, Centre for Data Analytics, IDA Business Park, Lower Dangan, Galway H91 AEX4, Ireland
*
Author to whom correspondence should be addressed.
Presented at the Sustainable Places 2019 (SP 2019), Cagliari, Italy, 5–7 June 2019.
Proceedings 2019, 20(1), 22; https://doi.org/10.3390/proceedings2019020022
Published: 6 August 2019
(This article belongs to the Proceedings of Sustainable Places Conference)
PDF [453 KB, uploaded 6 August 2019]

Abstract

Global energy consumption has risen enormously over the past century due to population growth and increasing energy use per person. Industrial production consumes a significant portion of global energy resources. Thus, industrial sector’s investment in energy efficiency is critical to a sustainable future. For most global enterprises the consumption of energy and natural resources represents a major overhead and developing sustainable energy policies can represent a significant competitive advantage due to the growing price of energy and volatility of supply. This symbiotic relationship can lead to the mutual benefits of increasing industrial efficiency whilst allowing the transition to a sustainable renewables-based energy future and needs to be significantly harnessed. This paper describes a decision support framework to help industrial organisations make positive investment decisions on energy performance improvement projects.
Keywords: global energy management system; corporate social responsibility; business continuity; sustainability; decision support framework; energy management maturity model; energy performance indicators global energy management system; corporate social responsibility; business continuity; sustainability; decision support framework; energy management maturity model; energy performance indicators
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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D’Angelo, L.; Finnerty, N.; Seri, F.; Piccinini, A.; Coffey, R.; Tighe, C.; Mealy, P.; Mellotte, M.; Keane, M. A Global Energy Management System to Support Sustainable Decision Making. Proceedings 2019, 20, 22.

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