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Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff

Dissertation (MEng)--University of Pretoria, 2014.

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Other Authors: Xia, Xiaohua
Format: Thesis
Language:English
Published: University of Pretoria 2015
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access_status_str Open Access
author2 Xia, Xiaohua
author_browse Xia, Xiaohua
author_facet Xia, Xiaohua
collection Thesis
dc_rights_str_mv © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng)--University of Pretoria, 2014.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:42.081Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/45900 Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff Xia, Xiaohua Chatterjee, Arnab UCTD Energy efficiency Load Management Optimization Mining networks Ventilation on demand Dissertation (MEng)--University of Pretoria, 2014. With the growing concerns about energy shortage and demand supply imbalance, demand side management (DSM) activities has found its way into the mining industry. This study analyzes the potential to save energy and energy-costs in underground mine ventilation networks, by application of DSM techniques. Energy saving is achieved by optimally adjusting the speed of the main fan to match the time-varying flow demand in the network, which is known as ventilation on demand (VOD). Further cost saving is achieved by shifting load to off-peak or standard times according to a time of use (TOU) tariff, i.e. finding the optimal mining schedule. The network is modelled using graph theory and Kirchhoff’s laws; which is used to form a non-linear, constrained, optimization problem. The objective of this problem is formulated to minimize the energy cost; and hence it is directly given as a function of the fan speed, which is the control variable. As such, the operating point is found for every change in the fan speed, by incorporating the fan laws and the system curve. The problem is solved using the fmincon solver in Matlab’s optimization toolbox. The model is analyzed for different scenarios, including varying the flow rate requirements and tariff structure. Although the results are preliminary and very case specific, the study suggests that significant energy and energy-cost saving can be achieved in a financially viable manner. tm2015 Electrical, Electronic and Computer Engineering MEng Unrestricted 2015-07-02T11:05:54Z 2015-07-02T11:05:54Z 2015/04/23 2014 Dissertation Chatterjee, A 2014, Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/45900> A2015 http://hdl.handle.net/2263/45900 en © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Energy efficiency
Load Management
Optimization
Mining networks
Ventilation on demand
Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff
title Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff
title_full Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff
title_fullStr Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff
title_full_unstemmed Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff
title_short Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff
title_sort optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff
topic UCTD
Energy efficiency
Load Management
Optimization
Mining networks
Ventilation on demand
url http://hdl.handle.net/2263/45900