Thermal energy storage(TES) air-conditioning system is a electrical load management technology with great potential to shift load from peak to off-peak utility periods. TES is now in widespread use for electric rate structures and energy policies and becomes a great contribution to energy conservation. However, TES is more complicated than conventional air-conditioning system in design and control strategies. According to practical field operation, the control of dynamic characters is especially difficult, and so are storage capacity design , discharging rate and charging capacity selection. This study set an example how to improve the energy performance of a retrofitted thermal energy storage air-conditioning system of a marine museum. Through full-scale experiment, historical air-conditioning operation data and computer simulation, the solution is provided on condition of unchanging major water pipe and equipment. This example can be a good demonstration for upping performance of TES. After testing and recording data for one year, this case indicates the investigation is effective and valuable to electric power management and green technology.

The generation of compressed air comprises 20% of the total electricity usage in the mining industry, although compressed air is often seen as a free source of energy. There are however significant costs associated with generating compressed air and maintaining a compressed air system. There are several methods to optimise the electricity used to generate compressed air. The focus of this study is on one of these methods – the implementation of a dynamic air compressor selector. A Dynamic Compressor Selector (DCS) system was developed to fulfil this purpose. DCS is a system that combines demand- and supply-side management of a compressed air network. DCS calculates a pressure set point for compressors and schedules the compressors according to the demand from the end-users. End-users include shafts, plants, workshops and smelters. DCS takes all of the compressors and end-users into consideration while doing the calculations. This dissertation focuses on the DCS implementation process and on the problems encountered by previous authors while implementing the DCS technology. Additional problems were encountered while the DCS technology was implemented. DCS was however still successfully implemented. This study will expand the implementation procedure to ensure that the technology can be implemented successfully in the future. DCS was implemented at a platinum mine in South Africa where it was able to calculate pressure set points for the compressors. DCS was able to accurately match the supply of, and demand for compressed air closely, resulting in lower overall compressed air usage. DCS improved compressor scheduling and control, limiting compressor cycling. Improved compressor scheduling and control resulted in significant decreases in the electricity used to generate compressed air at the mine. A target average evening peak clip of 2.197 MW was simulated, set and achieved. Evening peak clip power savings in excess of an average of 3 MW were achieved. / MIng (Mechanical Engineering), North-West University, Potchefstroom Campus, 2015

The generation of compressed air comprises 20% of the total electricity usage in the mining industry, although compressed air is often seen as a free source of energy. There are however significant costs associated with generating compressed air and maintaining a compressed air system. There are several methods to optimise the electricity used to generate compressed air. The focus of this study is on one of these methods – the implementation of a dynamic air compressor selector. A Dynamic Compressor Selector (DCS) system was developed to fulfil this purpose. DCS is a system that combines demand- and supply-side management of a compressed air network. DCS calculates a pressure set point for compressors and schedules the compressors according to the demand from the end-users. End-users include shafts, plants, workshops and smelters. DCS takes all of the compressors and end-users into consideration while doing the calculations. This dissertation focuses on the DCS implementation process and on the problems encountered by previous authors while implementing the DCS technology. Additional problems were encountered while the DCS technology was implemented. DCS was however still successfully implemented. This study will expand the implementation procedure to ensure that the technology can be implemented successfully in the future. DCS was implemented at a platinum mine in South Africa where it was able to calculate pressure set points for the compressors. DCS was able to accurately match the supply of, and demand for compressed air closely, resulting in lower overall compressed air usage. DCS improved compressor scheduling and control, limiting compressor cycling. Improved compressor scheduling and control resulted in significant decreases in the electricity used to generate compressed air at the mine. A target average evening peak clip of 2.197 MW was simulated, set and achieved. Evening peak clip power savings in excess of an average of 3 MW were achieved. / MIng (Mechanical Engineering), North-West University, Potchefstroom Campus, 2015

An efficient design dedicated for iterative-multiple-input multiple-output (MIMO) receiver systems is now imperative in our world since data demands are increasing tremendously in wireless networks. This puts a massive burden on the signal processing power especially in small receiver systems where power sources are often shared or limited. This thesis proposes an attractive solution to both the wireless signal processing and the architectural implementation design sides of the problem. A novel algorithm, dubbed the Adaptive Switching Algorithm, is proven to not only save more than a third of the energy consumption in the algorithmic design, but is also able to achieve an energy reduction of more than 50% in terms of processing power when the design is mapped onto state-of-the-art programmable hardware. Simulations are based in MatlabTM using the Monte Carlo approach, where multiple additive white Gaussian noise (AWGN) and Rayleigh fading channels for both fast and slow fading environments were investigated. The software selects the appropriate detection algorithm depending on the current channel conditions. The design for the hardware is based on the latest field programmable gate arrays (FPGA) hardware from Xilinx R , specifically the Virtex-5 and Virtex-7 chipsets. They were chosen during the experimental phase to verify the results in order to examine trends for energy consumption in the proposed algorithm design. Savings come from dynamic allocation of the hardware resources by implementing power minimization techniques depending on the processing requirements of the system. Having demonstrated the feasibility of the algorithm in controlled environments, realistic channel conditions were simulated using spatially correlated MIMO channels to test the algorithm’s readiness for real-world deployment. The proposed algorithm is placed in both the MIMO detector and the iterative-decoder blocks of the receiver. When the final full receiver design setup is implemented, it shows that the key to energy saving lies in the fact that both software and hardware components of the Adaptive Switching Algorithm adopt adaptivity in the respective designs. The detector saves energy by selecting suitable detection schemes while the decoder provides adaptivity by limiting the number of decoding iterations, both of which are updated in real-time. The overall receiver can achieve more than 70% energy savings in comparison to state-of-the-art iterative-MIMO receivers and thus it can be concluded that this level of ‘intelligence’ is an important direction towards a more efficient iterative-MIMO receiver designs in the future.

Esta tese avalia os benefícios e desafios associados com a operação em uma ampla faixa de frequências e tensões próximas ao limiar do transistor. A diminuição da tensão de alimentação em circuitos digitais CMOS apresenta grandes vantagens em termos de potência consumida pelo circuito. Esta diminuição da potência é acompanhada por uma redução da performance, reflexo da diminuição na tensão de alimentação. A operação de circuitos digitais no ponto de energia mínima é comumente associada ao regime de operação abaixo do limiar do transistor, trazendo enormes penalidades em performance e variabilidade. Esta dissertação mostra que é possível obter 8X mais eficiência energética com uma ampla faixa dinâmica de tensão e frequência, da tensão nominal até o limite inferior da operação próximo ao limiar do transistor. Como parte deste estudo, uma biblioteca de células digitais CMOS para esta ampla faixa de frequências foi desenvolvida. A biblioteca de células lógicas foi exercitada em um PDK comercial de 65nm para operação próximo ao limiar do transistor, reduzindo os efeitos da variabilidade sem comprometer o projeto em termos de área e energia quando operando em inversão forte. Para operar próximo e abaixo do limiar do transistor as células devem ser desenvolvidas com um número limitado de transistores em série. Nosso estudo mostra que uma performance aceitável em termos de margens de ruído estático é obtida para um conjunto restrito de células, onde são empregados no máximo dois transistores em série. Reportamos resultados para projetos de média complexidade que incluem um filtro notch de 25kgates, um microcontrolador 8051 de 20kgates, e 4 circuitos combinacionais/ sequenciais do conjunto de avaliação ISCAS. Neste trabalho, é estudada a máxima frequência atingida em cada tensão de alimentação, desde 0.15V até 1.2V. O ponto de mínima energia é demonstrado em operação abaixo do limiar do transistor, aproximadamente 0.29V, oque representa um ganho de 2X em eficiência energética comparado ao regime de operação próximo ao limiar do transistor. Embora o pico de eficiência energética ocorra abaixo do limiar do transistor para os circuitos estudados, nós também demonstramos que nesta tensão de alimentação ultra-baixa o atraso e a potência sofrem um impacto substancial devido ao aumento na variabilidade, atigindo uma degradação em performance de 30X, com respeito à operação próxima ao limiar do transistor. / This thesis assesses the benefits and drawbacks associated with a very wide range of frequency when operation at near-threshold is considered. Scaling down the supply voltage in digital CMOS circuits presents great benefits in terms of power reduction. Such scaling comes with a performance penalty, hence in digital synchronous circuits the reduction in frequency of operation follows, for a given circuit layout, the VDD reduction. Minimum-energy operation of digital CMOS circuits is commonly associated to the sub-VT regime, carrying huge performance and variability penalties. This thesis shows that it is possible to achieve 8X higher energy-efficiency with a very-wide range of dynamic voltage-frequency scaling, from nominal voltages down to the lower boundary of near-VT operation. As part of this study, a CMOS digital cell-library for such wide range of frequencies was developed. The cell-library is exercised in a 65nm commercial PDK and targets near-VT operation, mitigating the variability effects without compromising the design in terms of area and energy at strong inversion. For near-VT or sub-VT operation the cells have to be designed with few stacked transistors. Our study shows that acceptable performance in terms of static-noise margins is obtained for a constrained set of cells, for which a maximum of 2-stacked transistors are allowed. In this set we include master-slave registers. We report results for medium complexity designs which include a 25kgates notch filter, a 20kgates 8051 compatible core, and 4-combinational/4-sequential ISCAS benchmark circuits. In this work the maximum frequency attainable at each supply for a wide variation of voltage is studied from 150mV up to nominal voltage (1.2V). The sub-VT operation is shown to hold the minimum energy-point at roughly 0.29V, which represents a 2X energy-saving compared to the near-VT regime. Although energy-efficiency peaks in sub-VT for the circuits studied, we also show that in this ultra-low VDD the circuit timing and power suffer from substantially increased variability impact and a 30X performance drawback, with respect to near-VT.

Esta tese avalia os benefícios e desafios associados com a operação em uma ampla faixa de frequências e tensões próximas ao limiar do transistor. A diminuição da tensão de alimentação em circuitos digitais CMOS apresenta grandes vantagens em termos de potência consumida pelo circuito. Esta diminuição da potência é acompanhada por uma redução da performance, reflexo da diminuição na tensão de alimentação. A operação de circuitos digitais no ponto de energia mínima é comumente associada ao regime de operação abaixo do limiar do transistor, trazendo enormes penalidades em performance e variabilidade. Esta dissertação mostra que é possível obter 8X mais eficiência energética com uma ampla faixa dinâmica de tensão e frequência, da tensão nominal até o limite inferior da operação próximo ao limiar do transistor. Como parte deste estudo, uma biblioteca de células digitais CMOS para esta ampla faixa de frequências foi desenvolvida. A biblioteca de células lógicas foi exercitada em um PDK comercial de 65nm para operação próximo ao limiar do transistor, reduzindo os efeitos da variabilidade sem comprometer o projeto em termos de área e energia quando operando em inversão forte. Para operar próximo e abaixo do limiar do transistor as células devem ser desenvolvidas com um número limitado de transistores em série. Nosso estudo mostra que uma performance aceitável em termos de margens de ruído estático é obtida para um conjunto restrito de células, onde são empregados no máximo dois transistores em série. Reportamos resultados para projetos de média complexidade que incluem um filtro notch de 25kgates, um microcontrolador 8051 de 20kgates, e 4 circuitos combinacionais/ sequenciais do conjunto de avaliação ISCAS. Neste trabalho, é estudada a máxima frequência atingida em cada tensão de alimentação, desde 0.15V até 1.2V. O ponto de mínima energia é demonstrado em operação abaixo do limiar do transistor, aproximadamente 0.29V, oque representa um ganho de 2X em eficiência energética comparado ao regime de operação próximo ao limiar do transistor. Embora o pico de eficiência energética ocorra abaixo do limiar do transistor para os circuitos estudados, nós também demonstramos que nesta tensão de alimentação ultra-baixa o atraso e a potência sofrem um impacto substancial devido ao aumento na variabilidade, atigindo uma degradação em performance de 30X, com respeito à operação próxima ao limiar do transistor. / This thesis assesses the benefits and drawbacks associated with a very wide range of frequency when operation at near-threshold is considered. Scaling down the supply voltage in digital CMOS circuits presents great benefits in terms of power reduction. Such scaling comes with a performance penalty, hence in digital synchronous circuits the reduction in frequency of operation follows, for a given circuit layout, the VDD reduction. Minimum-energy operation of digital CMOS circuits is commonly associated to the sub-VT regime, carrying huge performance and variability penalties. This thesis shows that it is possible to achieve 8X higher energy-efficiency with a very-wide range of dynamic voltage-frequency scaling, from nominal voltages down to the lower boundary of near-VT operation. As part of this study, a CMOS digital cell-library for such wide range of frequencies was developed. The cell-library is exercised in a 65nm commercial PDK and targets near-VT operation, mitigating the variability effects without compromising the design in terms of area and energy at strong inversion. For near-VT or sub-VT operation the cells have to be designed with few stacked transistors. Our study shows that acceptable performance in terms of static-noise margins is obtained for a constrained set of cells, for which a maximum of 2-stacked transistors are allowed. In this set we include master-slave registers. We report results for medium complexity designs which include a 25kgates notch filter, a 20kgates 8051 compatible core, and 4-combinational/4-sequential ISCAS benchmark circuits. In this work the maximum frequency attainable at each supply for a wide variation of voltage is studied from 150mV up to nominal voltage (1.2V). The sub-VT operation is shown to hold the minimum energy-point at roughly 0.29V, which represents a 2X energy-saving compared to the near-VT regime. Although energy-efficiency peaks in sub-VT for the circuits studied, we also show that in this ultra-low VDD the circuit timing and power suffer from substantially increased variability impact and a 30X performance drawback, with respect to near-VT.

Esta tese avalia os benefícios e desafios associados com a operação em uma ampla faixa de frequências e tensões próximas ao limiar do transistor. A diminuição da tensão de alimentação em circuitos digitais CMOS apresenta grandes vantagens em termos de potência consumida pelo circuito. Esta diminuição da potência é acompanhada por uma redução da performance, reflexo da diminuição na tensão de alimentação. A operação de circuitos digitais no ponto de energia mínima é comumente associada ao regime de operação abaixo do limiar do transistor, trazendo enormes penalidades em performance e variabilidade. Esta dissertação mostra que é possível obter 8X mais eficiência energética com uma ampla faixa dinâmica de tensão e frequência, da tensão nominal até o limite inferior da operação próximo ao limiar do transistor. Como parte deste estudo, uma biblioteca de células digitais CMOS para esta ampla faixa de frequências foi desenvolvida. A biblioteca de células lógicas foi exercitada em um PDK comercial de 65nm para operação próximo ao limiar do transistor, reduzindo os efeitos da variabilidade sem comprometer o projeto em termos de área e energia quando operando em inversão forte. Para operar próximo e abaixo do limiar do transistor as células devem ser desenvolvidas com um número limitado de transistores em série. Nosso estudo mostra que uma performance aceitável em termos de margens de ruído estático é obtida para um conjunto restrito de células, onde são empregados no máximo dois transistores em série. Reportamos resultados para projetos de média complexidade que incluem um filtro notch de 25kgates, um microcontrolador 8051 de 20kgates, e 4 circuitos combinacionais/ sequenciais do conjunto de avaliação ISCAS. Neste trabalho, é estudada a máxima frequência atingida em cada tensão de alimentação, desde 0.15V até 1.2V. O ponto de mínima energia é demonstrado em operação abaixo do limiar do transistor, aproximadamente 0.29V, oque representa um ganho de 2X em eficiência energética comparado ao regime de operação próximo ao limiar do transistor. Embora o pico de eficiência energética ocorra abaixo do limiar do transistor para os circuitos estudados, nós também demonstramos que nesta tensão de alimentação ultra-baixa o atraso e a potência sofrem um impacto substancial devido ao aumento na variabilidade, atigindo uma degradação em performance de 30X, com respeito à operação próxima ao limiar do transistor. / This thesis assesses the benefits and drawbacks associated with a very wide range of frequency when operation at near-threshold is considered. Scaling down the supply voltage in digital CMOS circuits presents great benefits in terms of power reduction. Such scaling comes with a performance penalty, hence in digital synchronous circuits the reduction in frequency of operation follows, for a given circuit layout, the VDD reduction. Minimum-energy operation of digital CMOS circuits is commonly associated to the sub-VT regime, carrying huge performance and variability penalties. This thesis shows that it is possible to achieve 8X higher energy-efficiency with a very-wide range of dynamic voltage-frequency scaling, from nominal voltages down to the lower boundary of near-VT operation. As part of this study, a CMOS digital cell-library for such wide range of frequencies was developed. The cell-library is exercised in a 65nm commercial PDK and targets near-VT operation, mitigating the variability effects without compromising the design in terms of area and energy at strong inversion. For near-VT or sub-VT operation the cells have to be designed with few stacked transistors. Our study shows that acceptable performance in terms of static-noise margins is obtained for a constrained set of cells, for which a maximum of 2-stacked transistors are allowed. In this set we include master-slave registers. We report results for medium complexity designs which include a 25kgates notch filter, a 20kgates 8051 compatible core, and 4-combinational/4-sequential ISCAS benchmark circuits. In this work the maximum frequency attainable at each supply for a wide variation of voltage is studied from 150mV up to nominal voltage (1.2V). The sub-VT operation is shown to hold the minimum energy-point at roughly 0.29V, which represents a 2X energy-saving compared to the near-VT regime. Although energy-efficiency peaks in sub-VT for the circuits studied, we also show that in this ultra-low VDD the circuit timing and power suffer from substantially increased variability impact and a 30X performance drawback, with respect to near-VT.

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Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late, it was realized that these devices, which are currently being operated at fixed voltage and frequency, are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements, these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage and Frequency Scaling (DVFS) techniques have proven to be handy in this situation for an efficient trade-off between energy and timely behavior. Within imec, wearable devices make use of the indigenously developed MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). This system is optimized for efficient and accurate collection, processing, and transfer of data from multiple (health) sensors. MUSEIC v2 has limited means in controlling the voltage and frequency dynamically. In this thesis we explore how traditional DVFS techniques can be applied to the MUSEIC v2. Experiments were conducted to find out the optimum power modes to efficiently operate and also to scale up-down the supply voltage and frequency. Considering the overhead caused when switching voltage and frequency, transition analysis was also done. Real-time and non real-time benchmarks were implemented based on these techniques and their performance results were obtained and analyzed. In this process, several state of the art scheduling algorithms and scaling techniques were reviewed in identifying a suitable technique. Using our proposed scaling technique implementation, we have achieved 86.95% power reduction in average, in contrast to the conventional way of the MUSEIC v2 chip’s processor operating at a fixed voltage and frequency. Techniques that include light sleep and deep sleep mode were also studied and implemented, which tested the system’s capability in accommodating Dynamic Power Management (DPM) techniques that can achieve greater benefits. A novel approach for implementing the deep sleep mechanism was also proposed and found that it can obtain up to 71.54% power savings, when compared to a traditional way of executing deep sleep mode. / Nuförtiden så har multifunktionella bärbara hälsoenheter fått en betydande roll. Dessa enheter drivs vanligtvis av batterier och är därför begränsade av batteritiden (från ett par timmar till ett par veckor beroende på tillämpningen). På senaste tiden har det framkommit att dessa enheter som används vid en fast spänning och frekvens kan användas vid flera spänningar och frekvenser. Genom att byta till lägre spänning och frekvens på grund av effektbehov så kan enheterna få enorma fördelar när det kommer till energibesparing. Dynamisk skalning av spänning och frekvens-tekniker (såkallad Dynamic Voltage and Frequency Scaling, DVFS) har visat sig vara användbara i detta sammanhang för en effektiv avvägning mellan energi och beteende. Hos Imec så använder sig bärbara enheter av den internt utvecklade MUSEIC v2 (Multi Sensor Integrated circuit version 2.0). Systemet är optimerat för effektiv och korrekt insamling, bearbetning och överföring av data från flera (hälso) sensorer. MUSEIC v2 har begränsad möjlighet att styra spänningen och frekvensen dynamiskt. I detta examensarbete undersöker vi hur traditionella DVFS-tekniker kan appliceras på MUSEIC v2. Experiment utfördes för att ta reda på de optimala effektlägena och för att effektivt kunna styra och även skala upp matningsspänningen och frekvensen. Eftersom att ”overhead” skapades vid växling av spänning och frekvens gjordes också en övergångsanalys. Realtidsoch icke-realtidskalkyler genomfördes baserat på dessa tekniker och resultaten sammanställdes och analyserades. I denna process granskades flera toppmoderna schemaläggningsalgoritmer och skalningstekniker för att hitta en lämplig teknik. Genom att använda vår föreslagna skalningsteknikimplementering har vi uppnått 86,95% effektreduktion i jämförelse med det konventionella sättet att MUSEIC v2-chipets processor arbetar med en fast spänning och frekvens. Tekniker som inkluderar lätt sömn och djupt sömnläge studerades och implementerades, vilket testade systemets förmåga att tillgodose DPM-tekniker (Dynamic Power Management) som kan uppnå ännu större fördelar. En ny metod för att genomföra den djupa sömnmekanismen föreslogs också och enligt erhållna resultat så kan den ge upp till 71,54% lägre energiförbrukning jämfört med det traditionella sättet att implementera djupt sömnläge.