Optimizing Energy Costs in a Zinc and Lead Mine

نویسندگان

  • Alan Kinsella
  • Alan F. Smeaton
  • Barry Hurley
  • Barry O'Sullivan
  • Helmut Simonis
چکیده

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

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimizing Energy Costs and Water Whithdrawal in a Prototype Water Supply System

Water requirements in many large water supply systems are provided by mixing water withdrawal from surface and underground resources with different quantity and quality.Water supply from underground sources requires energy consumption and surface water resources are limited and unstable.The aim of this research is managing optimal supply of required water of system with minimum energy cost and ...

متن کامل

Optimizing Energy Costs and Water Whithdrawal in a Prototype Water Supply System

Water requirements in many large water supply systems are provided by mixing water withdrawal from surface and underground resources with different quantity and quality.Water supply from underground sources requires energy consumption and surface water resources are limited and unstable.The aim of this research is managing optimal supply of required water of system with minimum energy cost and ...

متن کامل

Heavy metal contamination in soil and some medicinal plant species in Ahangaran lead-zinc mine, Iran

Ahangaran lead-zinc mining area located in the west part of Iran is a mountainous region. In this study, medical plants and soils from 3 different sites in this area were collected in spring 2012. Soil and medical plants were analyzed for heavy metals [lead (Pb), zinc (Zn), cadmium (Cd) and copper (Cu)] concentrations using inductively coupled plasma (ICP) optical emission spectrometer (Varian ...

متن کامل

Geochemical and ecological assessment of some heavy metals in the soil around the lead and zinc mine in northwestern of Iran

Background and Objective: Today, soil and water pollution with heavy metals is one of the major challenges around the world. The aim of this study is to investigate the contamination of soils around a lead and zinc mine. Materials and Methods: In the summer of 2019, 100 soil samples were taken from the mine vicinity and the characteristics of texture, acidity, salinity, calcium carbonate, orga...

متن کامل

Use of artificial intelligence techniques to predict distribution of heavy metals in groundwater of Lakan lead-zinc mine in Iran

Determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. In this paper, the application of artificial intelligence (AI) methods to data analysis,namely artificial neural network (ANN), hybrid ANN with biogeography-based optimization (ANN-BBO), and multi-output adaptive neural fuzzy inference system (MANFIS) to estima...

متن کامل

Identification of groundwater contamination sources of Lakan lead and zinc mine, Khomain, Iran

Altogether 20 groundwater samples were collected around the Lakan Pb and Zn mine in Iran. Samples were analyzed for 8 constituents including Fe, Pb, Hg, Mn, Zn, CN, SO4 and Cl using standard method. The results show that the average concentrations of constituents were 0.01, 0.60, 0.10, 0.01, 0.40, 35, 0.01 and 5.95 mg/kg for Fe, Mn, Pb, Zn, Hg, SO4, CN and Cl, respectively. The computed contami...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016