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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 / No. 2 (2016): The Twenty-Eighth Conference on Innovative Applications of Artificial Intelligence

Optimizing Energy Costs in a Zinc and Lead Mine

March 8, 2023

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Abstract:

Boliden Tara Mines Ltd. consumed 184.7 GWh of electricity in 2014, equating to over 1% of the national demand of Ireland or approximately 35,000 homes. Ireland’s industrial electricity prices, at an average of 13 c/KWh in 2014, are amongst the most expensive in Europe. Cost effective electricity procurement is ever more pressing for businesses to remain competitive. In parallel, the proliferation of intelligent devices has led to the industrial Internet of Things paradigm becoming mainstream. As more and more devices become equipped with network connectivity, smart metering is fast becoming a means of giving energy users access to a rich array of consumption data. These modern sensor networks have facilitated the development of applications to process, analyse, and react to continuous data streams in real-time. Subsequently, future procurement and consumption decisions can be informed by a highly detailed evaluation of energy usage. With these considerations in mind, this paper uses variable energy prices from Ireland’s Single Electricity Market, along with smart meter sensor data, to simulate the scheduling of an industrial-sized underground pump station in Tara Mines. The objective is to reduce the overall energy costs whilst still functioning within the system’s operational constraints. An evaluation using real-world electricity prices and detailed sensor data for 2014 demonstrates significant savings of up to 10.72% over the year compared to the existing control systems.

Authors

Alan Kinsella

Boliden Tara Mines Ltd.


Alan Smeaton

Dublin City University


Barry Hurley

University College Cork


Barry O’Sullivan

University College Cork


Helmut Simonis

University College Cork


DOI:

10.1609/aaai.v30i2.19079


Topics: AAAI

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HOW TO CITE:

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis Optimizing Energy Costs in a Zinc and Lead Mine Proceedings of the AAAI Conference on Artificial Intelligence, 30 (2016) 4022.

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis Optimizing Energy Costs in a Zinc and Lead Mine AAAI 2016, 4022.

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis (2016). Optimizing Energy Costs in a Zinc and Lead Mine. Proceedings of the AAAI Conference on Artificial Intelligence, 30, 4022.

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis. Optimizing Energy Costs in a Zinc and Lead Mine. Proceedings of the AAAI Conference on Artificial Intelligence, 30 2016 p.4022.

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis. 2016. Optimizing Energy Costs in a Zinc and Lead Mine. "Proceedings of the AAAI Conference on Artificial Intelligence, 30". 4022.

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis. (2016) "Optimizing Energy Costs in a Zinc and Lead Mine", Proceedings of the AAAI Conference on Artificial Intelligence, 30, p.4022

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis, "Optimizing Energy Costs in a Zinc and Lead Mine", AAAI, p.4022, 2016.

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis. "Optimizing Energy Costs in a Zinc and Lead Mine". Proceedings of the AAAI Conference on Artificial Intelligence, 30, 2016, p.4022.

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis. "Optimizing Energy Costs in a Zinc and Lead Mine". Proceedings of the AAAI Conference on Artificial Intelligence, 30, (2016): 4022.

Alan Kinsella|| Alan Smeaton|| Barry Hurley|| Barry O’Sullivan|| Helmut Simonis. Optimizing Energy Costs in a Zinc and Lead Mine. AAAI[Internet]. 2016[cited 2023]; 4022.


ISSN: 2374-3468


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