Spelling suggestions: "subject:"lasverskuiwing"" "subject:"magsverskuiwing""
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Research into real-time energy management on old gold mines / Nico Louis de LangeDe Lange, Nico Louis January 2006 (has links)
The South African Electricity Supply Industry is one of the backbone industries in South
Africa. During 2003, it became clear that the demand for electricity in South Africa was
increasing at a rate that had not been predicted nor recognised before. This was a clear
indication that Eskom, the national electricity supply utility, would have to invest in
additional generating capacity before 2007.
Eskom envisioned these problems and introduced a DSM programme, which is aimed at
reducing the national peak power demand. In so doing, the immediate need for additional
power generating capacity will be postponed. A major part of this program is the concept of
electrical load shifting.
In 2000 mining in South Africa consumed 29% of the total quantity of electricity generated,
of which the gold-mining industry consumed more than half. Electricity is the exclusive
power source for the application of vital health and safety-related requirements in gold
mines. In some cases, these consume in excess of 55% of the total electricity used on a
mine. Water-pumping systems are a major part of these important applications.
This dissertation presents a study of certain aspects of real-time energy management on
old gold mines, by focusing on electrical load shifting on underground water pumping
systems. Old gold mines use old, proven and energy-intensive methods that were not designed to conserve energy. This study also researches the challenges associated with
the implementation of energy management strategies on old gold mines.
Research was done on three old gold mines to determine the potential for load shifting on
the underground water pumping systems of old gold mines. Integrated simulations were
used as the main method of establishing this potential as well as the financial savings
potential for the client. The simulation results showed large amounts of load-shifting
potential for all three case studies and substantial financial savings potential for the clients.
Real-time, load-shifting strategies were implemented on the three systems analysed in the
case studies. The results generated by these strategies showed that load shifting could be
realised on these systems, and confirmed the potential calculated in the simulations.
Further research into the results however showed that the old infrastructure in the old
mines caused many problems and influenced the sustainability of these strategies.
From this study, the conclusions were made that; (a) there exists a potential for energy
management on old gold mines, (b) there exists large potential for the implementation of
sustainable energy management strategies on old gold mines, and (c) it is feasible to
implement energy management strategies on old gold mines. / Thesis (M.Ing. (Electrical and Electronic Engineering))--North-West University, Potchefstroom Campus, 2007
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Research into real-time energy management on old gold mines / Nico Louis de LangeDe Lange, Nico Louis January 2006 (has links)
The South African Electricity Supply Industry is one of the backbone industries in South
Africa. During 2003, it became clear that the demand for electricity in South Africa was
increasing at a rate that had not been predicted nor recognised before. This was a clear
indication that Eskom, the national electricity supply utility, would have to invest in
additional generating capacity before 2007.
Eskom envisioned these problems and introduced a DSM programme, which is aimed at
reducing the national peak power demand. In so doing, the immediate need for additional
power generating capacity will be postponed. A major part of this program is the concept of
electrical load shifting.
In 2000 mining in South Africa consumed 29% of the total quantity of electricity generated,
of which the gold-mining industry consumed more than half. Electricity is the exclusive
power source for the application of vital health and safety-related requirements in gold
mines. In some cases, these consume in excess of 55% of the total electricity used on a
mine. Water-pumping systems are a major part of these important applications.
This dissertation presents a study of certain aspects of real-time energy management on
old gold mines, by focusing on electrical load shifting on underground water pumping
systems. Old gold mines use old, proven and energy-intensive methods that were not designed to conserve energy. This study also researches the challenges associated with
the implementation of energy management strategies on old gold mines.
Research was done on three old gold mines to determine the potential for load shifting on
the underground water pumping systems of old gold mines. Integrated simulations were
used as the main method of establishing this potential as well as the financial savings
potential for the client. The simulation results showed large amounts of load-shifting
potential for all three case studies and substantial financial savings potential for the clients.
Real-time, load-shifting strategies were implemented on the three systems analysed in the
case studies. The results generated by these strategies showed that load shifting could be
realised on these systems, and confirmed the potential calculated in the simulations.
Further research into the results however showed that the old infrastructure in the old
mines caused many problems and influenced the sustainability of these strategies.
From this study, the conclusions were made that; (a) there exists a potential for energy
management on old gold mines, (b) there exists large potential for the implementation of
sustainable energy management strategies on old gold mines, and (c) it is feasible to
implement energy management strategies on old gold mines. / Thesis (M.Ing. (Electrical and Electronic Engineering))--North-West University, Potchefstroom Campus, 2007
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Optimal sizing and operation of pumping systems to achieve energy efficiency and load shiftingZhang, He 22 September 2011 (has links)
This dissertation presents a pumping system operation efficiency improvement solution that includes optimal selection and control of the water pump. This solution is formulated based on the performance, operation, equipment and technology (POET) framework. The focus is on the minimization of the operational energy cost. This efficiency improvement solution is divided into three stages in accordance with the operation category of the POET framework. The first stage is to select the optimal pump capacity by considering both energy efficiency and load shifting requirements. The second stage is to develop a flexible pump controlling strategy that combines and balances the contributions from energy efficiency and load shifting. The last stage is to improve the robustness of the control system using the closed-loop model predictive control approach. An optimal pump capacity selection model is formulated. In this model, additional capacity requirements for load shifting are considered along with the traditional energy efficiency requirements. By balancing the contributions from load shifting and energy efficiency, the operational energy cost can be reduced by up to 37%. An optimal pump control is formulated. The objective of this control model is to balance the energy efficiency and load shifting contributions during the operation and minimize the operational energy cost. This control model is tested under different operational conditions and it is compared to other existing control strategies. The simulation and comparison results show that the proposed control strategy achieves the lowest operational energy cost in comparison to other strategies. This optimal pump control model is further modified into the closed-loop model predictive control format to increase the robustness of the control system under operation uncertainties. A mixed integer particle swarm optimization algorithms is employed to solve the optimization problems in this research. AFRIKAANS : Hierdie verhandeling bied ’n verbeterde oplossing vir die operasionele doeltreffendheid van pompstelsels wat die optimale keuse en beheer van die waterpomp insluit. Hierdie oplossing is geformuleer op ’n raamwerk wat werkverrigting, bedryf, toerusting en tegnologie in ag neem. Die oplossing fokus op die vermindering van bedryfsenergie koste. Hierdie oplossing is onderverdeel in drie fases soos bepaal deur die bedryfskategorie gegrond op die bogenoemde raamwerk: Die eerste fase is die keuse van die optimale pompkapasiteit deur beide energiedoeltreffendheid en lasverskuiwing in ag te neem. Die tweede fase is om ’n buigbare pompbeheer strategie te ontwikkel wat ’n goeie balans handhaaf tussen die onderskeie bydraes van energiedoeltreffendheid en lasverskuiwing. Die derde fase is om die stabiliteit van die beheerstelsel te verbeter deur gebruik te maak van ’n geslote-lus beheermodel met voorspellende beheer (Predictive Control). ’n Model vir die keuse van optimale pompkapasiteit is geformuleer. In hierdie model word vereistes vir addisionele pompkapasiteit vir lasverskuiwing sowel as vereistes in terme tradisionele energiedoeltreffendheid in ag geneem. Deur die regte verhouding tussen die onderskeie bydraes van energiedoeltreffendheid en lasverskuiwing te vind kan ’n besparing van tot 37% op die energiekoste verkry word. Optimale pompbeheer is geformuleer. Die doel van die beheermodel is om die bydraes van energiedoeltreffendheid en lasverskuiwing te balanseer en om die bedryfsenergie koste te minimiseer. Hierdie beheermodel is getoets onder verskillende bedryfstoestande en dit is vergelyk met ander bestaande beheerstrategiee. Die simulasie en vergelyking van resultate toon dat die voorgestelde beheerstrategie die laagste bedryfsenergie koste behaal in vergelyking met ander strategiee. Hierdie optimale pomp beheermodel is verder aangepas in ’n geslote beheermodel met voorspellende beheerformaat om die stabiliteit van die beheerstelsel te verbeter onder onsekere bedryfstoestande. ’n Gemende heelgetal partikel swerm optimisasie (Mixed interger particle swarm optimization) algoritme is gebruik om die optimiseringsprobleme op te los tydens hierdie navorsingsoefening. / Dissertation (MEng)--University of Pretoria, 2011. / Electrical, Electronic and Computer Engineering / Unrestricted
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