A mobile based control system for smart homes
- Authors: Tshimanga, Danny Kazadi
- Date: 2022-03
- Subjects: Smart power grids , Home automation
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/22632 , vital:52606
- Description: A Smart Home Control System can provide a secure home, convenience, comfort, and interactivity of life in a particular home. The system can enable the automatic controlling of a house via a Smart Phone. These systems are becoming vital and widely used in homes to improve conditions of life. Most commercial home automation systems are expensive and their maintenance would require experts who understand the underlying implementation of the systems. This study developed a mobile-based home automation system prototype. The system was developed using the waterfall model methodology. To evaluate the developed system, the study used a simulation method. Ten trials were conducted to determine the performance of the implemented system. The mean time to failure was used to evaluate the system’ reliability. The system’s performance analysis revealed that the developed system performed better than the two other approaches; the Bluetooth and ZigBee. The developed system showed a 0 percent error, while the Bluetooth had 8 percent error and ZigBee 6 percent error. The reliability results showed the average lifespan of assets in the system before they could fail. Knowing the lifespan of an asset before it fails can help in reducing downtime of the system by planning or scheduling maintenance and develop an improved maintenance strategy. , Thesis (MSc) -- Faculty of Science and Agriculture, 2021
- Full Text:
- Date Issued: 2022-03
- Authors: Tshimanga, Danny Kazadi
- Date: 2022-03
- Subjects: Smart power grids , Home automation
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10353/22632 , vital:52606
- Description: A Smart Home Control System can provide a secure home, convenience, comfort, and interactivity of life in a particular home. The system can enable the automatic controlling of a house via a Smart Phone. These systems are becoming vital and widely used in homes to improve conditions of life. Most commercial home automation systems are expensive and their maintenance would require experts who understand the underlying implementation of the systems. This study developed a mobile-based home automation system prototype. The system was developed using the waterfall model methodology. To evaluate the developed system, the study used a simulation method. Ten trials were conducted to determine the performance of the implemented system. The mean time to failure was used to evaluate the system’ reliability. The system’s performance analysis revealed that the developed system performed better than the two other approaches; the Bluetooth and ZigBee. The developed system showed a 0 percent error, while the Bluetooth had 8 percent error and ZigBee 6 percent error. The reliability results showed the average lifespan of assets in the system before they could fail. Knowing the lifespan of an asset before it fails can help in reducing downtime of the system by planning or scheduling maintenance and develop an improved maintenance strategy. , Thesis (MSc) -- Faculty of Science and Agriculture, 2021
- Full Text:
- Date Issued: 2022-03
Peer-to-peer energy trading system using IoT and a low-computation blockchain network
- Authors: Ncube, Tyron
- Date: 2021-10-29
- Subjects: Blockchains (Databases) , Internet of things , Renewable energy sources , Smart power grids , Peer-to-peer architecture (Computer networks) , Energy trading system
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10962/192119 , vital:45197
- Description: The use of renewable energy is increasing every year as it is seen as a viable and sustain- able long-term alternative to fossil-based sources of power. Emerging technologies are being merged with existing renewable energy systems to address some of the challenges associated with renewable energy, such as reliability and limited storage facilities for the generated energy. The Internet of Things (IoT) has made it possible for consumers to make money by selling off excess energy back to the utility company through smart grids that allow bi-directional communication between the consumer and the utility company. The major drawback of this is that the utility company still plays a central role in this setup as they are the only buyer of this excess energy generated from renewable energy sources. This research intends to use blockchain technology by leveraging its decentralized architecture to enable other individuals to be able to purchase this excess energy. Blockchain technology is first explained in detail, and its main features, such as consensus mechanisms, are examined. This evaluation of blockchain technology gives rise to some design questions that are taken into consideration to create a low-energy, low-computation Ethereum-based blockchain network that is the foundation for a peer-to-peer energy trading system. The peer-to-peer energy trading system makes use of smart meters to collect data about energy usage and gives users a web-based interface where they can transact with each other. A smart contract is also designed to facilitate payments for transactions. Lastly, the system is tested by carrying out transactions and transferring energy from one node in the system to another. , Thesis (MSc) -- Faculty of Science, Computer Science, 2021
- Full Text:
- Date Issued: 2021-10-29
- Authors: Ncube, Tyron
- Date: 2021-10-29
- Subjects: Blockchains (Databases) , Internet of things , Renewable energy sources , Smart power grids , Peer-to-peer architecture (Computer networks) , Energy trading system
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10962/192119 , vital:45197
- Description: The use of renewable energy is increasing every year as it is seen as a viable and sustain- able long-term alternative to fossil-based sources of power. Emerging technologies are being merged with existing renewable energy systems to address some of the challenges associated with renewable energy, such as reliability and limited storage facilities for the generated energy. The Internet of Things (IoT) has made it possible for consumers to make money by selling off excess energy back to the utility company through smart grids that allow bi-directional communication between the consumer and the utility company. The major drawback of this is that the utility company still plays a central role in this setup as they are the only buyer of this excess energy generated from renewable energy sources. This research intends to use blockchain technology by leveraging its decentralized architecture to enable other individuals to be able to purchase this excess energy. Blockchain technology is first explained in detail, and its main features, such as consensus mechanisms, are examined. This evaluation of blockchain technology gives rise to some design questions that are taken into consideration to create a low-energy, low-computation Ethereum-based blockchain network that is the foundation for a peer-to-peer energy trading system. The peer-to-peer energy trading system makes use of smart meters to collect data about energy usage and gives users a web-based interface where they can transact with each other. A smart contract is also designed to facilitate payments for transactions. Lastly, the system is tested by carrying out transactions and transferring energy from one node in the system to another. , Thesis (MSc) -- Faculty of Science, Computer Science, 2021
- Full Text:
- Date Issued: 2021-10-29
Planning considerations for smart meter implementations in South Africa
- Authors: Muchenje, Tonderai
- Date: 2020
- Subjects: Application software -- Development , Smart power grids
- Language: English
- Type: Thesis , Doctoral , DPhil
- Identifier: http://hdl.handle.net/10948/46218 , vital:39515
- Description: Smart meter implementations are still in their infancy in many African countries. This is evident by the lack of research on the subject in the African context. Most of the research studies are either Eurocentric or US-centric. Although these studies are important and informative, they might not address the African challenges in context. Hence, South Africa was chosen as the testbed for an investigation that addresses the apparent knowledge gap. This study set out to formulate a framework for planning considerations in the implementation of smart meter technology within South Africa. Through extensive literature review and analysis, the technology acceptance model (TAM) was chosen as a foundational framework for this study. Although TAM is widely used for researching technology acceptance and use, its applicability was found to be inadequate in explaining customer centric factors in smart metering. Therefore, it was supplemented with factors from the theory of reasoned action (TRA), the theory of planned behavior (TPB), privacy calculus theory (PCT), as well as the unified theory of acceptance and use of technology (UTAUT). A total of 11 consumer-centric factors were identified, and these were statistically analysed using the structural equation modelling technique (SEM). Ten (10) consumer-centric factors was found to be significant. These were attitude, perceived value, monetary cost, privacy risk, perceived ease of use, perceived usefulness, facilitating conditions, social norms, trust in technology and behavioral intention. Hypothesis testing confirmed that, not one acceptance model could adequately be used to identify and explain the consumer-centric factors that can be incorporated for planning considerations for smart meter implementation in South Africa. It was further observed that the consumer-centric factors such as environmental issues, security, reliability and health issues that were important in developed countries were not deemed so in South Africa. From a methodological perspective, the study attests to contextual localised application as opposed to universal meaning and measurement invariance when incorporating planning consideration for smart meter implementation in South Africa as compared to European countries and the United States of America. Finally, the findings hold some practical implications, as they showed the practical utility of the model in predicting the consumer-centric factors that can be incorporated for planning considerations. In support, the Business Model Canvas (BMC) was found to be a useful tool in deriving and reporting on the formulation of planning consideration guidelines. Using the BMC, five planning consideration guidelines were derived: customer segmentation, partnerships, benefits communication, value identification and customer attitude. These planning considerations will allow smart meter providers to identify their customers, partners and value propositions they might need to offer consumers to facilitate a higher smart meter acceptance and use. The proposed planning consideration guidelines can practically be used by policymakers and regulators for several aspects for future pervasive technology acceptance studies. This research has, therefore, created a platform for further research in the smart technology domain while providing a usable predictive framework for the identification of consumer-centric factors and formulation of planning considerations guidelines for smart meter implementation within the South African context.
- Full Text:
- Date Issued: 2020
- Authors: Muchenje, Tonderai
- Date: 2020
- Subjects: Application software -- Development , Smart power grids
- Language: English
- Type: Thesis , Doctoral , DPhil
- Identifier: http://hdl.handle.net/10948/46218 , vital:39515
- Description: Smart meter implementations are still in their infancy in many African countries. This is evident by the lack of research on the subject in the African context. Most of the research studies are either Eurocentric or US-centric. Although these studies are important and informative, they might not address the African challenges in context. Hence, South Africa was chosen as the testbed for an investigation that addresses the apparent knowledge gap. This study set out to formulate a framework for planning considerations in the implementation of smart meter technology within South Africa. Through extensive literature review and analysis, the technology acceptance model (TAM) was chosen as a foundational framework for this study. Although TAM is widely used for researching technology acceptance and use, its applicability was found to be inadequate in explaining customer centric factors in smart metering. Therefore, it was supplemented with factors from the theory of reasoned action (TRA), the theory of planned behavior (TPB), privacy calculus theory (PCT), as well as the unified theory of acceptance and use of technology (UTAUT). A total of 11 consumer-centric factors were identified, and these were statistically analysed using the structural equation modelling technique (SEM). Ten (10) consumer-centric factors was found to be significant. These were attitude, perceived value, monetary cost, privacy risk, perceived ease of use, perceived usefulness, facilitating conditions, social norms, trust in technology and behavioral intention. Hypothesis testing confirmed that, not one acceptance model could adequately be used to identify and explain the consumer-centric factors that can be incorporated for planning considerations for smart meter implementation in South Africa. It was further observed that the consumer-centric factors such as environmental issues, security, reliability and health issues that were important in developed countries were not deemed so in South Africa. From a methodological perspective, the study attests to contextual localised application as opposed to universal meaning and measurement invariance when incorporating planning consideration for smart meter implementation in South Africa as compared to European countries and the United States of America. Finally, the findings hold some practical implications, as they showed the practical utility of the model in predicting the consumer-centric factors that can be incorporated for planning considerations. In support, the Business Model Canvas (BMC) was found to be a useful tool in deriving and reporting on the formulation of planning consideration guidelines. Using the BMC, five planning consideration guidelines were derived: customer segmentation, partnerships, benefits communication, value identification and customer attitude. These planning considerations will allow smart meter providers to identify their customers, partners and value propositions they might need to offer consumers to facilitate a higher smart meter acceptance and use. The proposed planning consideration guidelines can practically be used by policymakers and regulators for several aspects for future pervasive technology acceptance studies. This research has, therefore, created a platform for further research in the smart technology domain while providing a usable predictive framework for the identification of consumer-centric factors and formulation of planning considerations guidelines for smart meter implementation within the South African context.
- Full Text:
- Date Issued: 2020
Analysis of the reliability for the 132/66/22 KV distribution network within ESKOM’s Eastern Cape operating unit
- Authors: Pantshwa, Athini
- Date: 2017
- Subjects: Electric power distribution Electricity -- Supply -- Engineering , Smart power grids
- Language: English
- Type: Thesis , Masters , MTech
- Identifier: http://hdl.handle.net/10948/19750 , vital:28953
- Description: A stable and reliable electrical power supply system is an inevitable pre-requisite for the technological and economic growth of any nation. Due to this, utilities must strive and ensure that the customer’s reliability requirements are met and that the regulators requirements are satisfied at the lowest possible cost. It is known fact around the world that 90% of the customer service interruptions are caused due to failure in distribution system. Therefore, it is worth considering reliability assessments as it provides an opportunity to incorporate the cost or losses incurred by the utilities customer as a result of power failure. This must be considered in the planning and operating practices. The system modelling and simulation study is carried out on one of the district’s distribution system which consists of 132 kV, 66 kV and 22 kV network in Aliwal North Sector ECOU. The reliability assessment is done on the 22, 66 and 132 kV system to assess the performance of the present system and also predictive reliability analysis for the future system considering load growth and system expansion. The alternative which gives low SAIDI, SAIFI and minimum breakeven costs is being assessed and considered. The reliability of 132 kV system could be further improved by constructing a new 132 kV line from a different source of supply and connecting with line coming from another district (reserve) at reasonable break even cost. The decision base could be further improved by having Aliwal North Sector context interruption cost. However, the historical data which may be used in Aliwal North Sector to acquire interruption costs from the customers are being proposed. The focus should be on improving the power quality on constrained networks first, then the reliability. Therefore for the Aliwal North power system network it is imperative that Eskom invest on the reliability of this network. This dissertation also analysed load reflected economic benefit versus performance expectations that should be optimized through achieving a balance between network performance (SAIDI) improvement, and total life cycle cost (to Eskom as well as the economy). Reliability analysis conducted in this dissertation used Aliwal North power system network as a case study; the results proved that the system is vulnerable to faults, planned and unplanned outages. Reliability evaluation studies were conducted on the system using DigSilent software in conjunction with FME. These two models gave accurate results with acceptable variance in most indices except for the ENS where the variance was quite significant. It can be concluded that DigSilent results are the most accurate results in all three reliability evaluation scenarios for the Aliwal North Power System, best interpretation being that of DigSilent.
- Full Text:
- Date Issued: 2017
- Authors: Pantshwa, Athini
- Date: 2017
- Subjects: Electric power distribution Electricity -- Supply -- Engineering , Smart power grids
- Language: English
- Type: Thesis , Masters , MTech
- Identifier: http://hdl.handle.net/10948/19750 , vital:28953
- Description: A stable and reliable electrical power supply system is an inevitable pre-requisite for the technological and economic growth of any nation. Due to this, utilities must strive and ensure that the customer’s reliability requirements are met and that the regulators requirements are satisfied at the lowest possible cost. It is known fact around the world that 90% of the customer service interruptions are caused due to failure in distribution system. Therefore, it is worth considering reliability assessments as it provides an opportunity to incorporate the cost or losses incurred by the utilities customer as a result of power failure. This must be considered in the planning and operating practices. The system modelling and simulation study is carried out on one of the district’s distribution system which consists of 132 kV, 66 kV and 22 kV network in Aliwal North Sector ECOU. The reliability assessment is done on the 22, 66 and 132 kV system to assess the performance of the present system and also predictive reliability analysis for the future system considering load growth and system expansion. The alternative which gives low SAIDI, SAIFI and minimum breakeven costs is being assessed and considered. The reliability of 132 kV system could be further improved by constructing a new 132 kV line from a different source of supply and connecting with line coming from another district (reserve) at reasonable break even cost. The decision base could be further improved by having Aliwal North Sector context interruption cost. However, the historical data which may be used in Aliwal North Sector to acquire interruption costs from the customers are being proposed. The focus should be on improving the power quality on constrained networks first, then the reliability. Therefore for the Aliwal North power system network it is imperative that Eskom invest on the reliability of this network. This dissertation also analysed load reflected economic benefit versus performance expectations that should be optimized through achieving a balance between network performance (SAIDI) improvement, and total life cycle cost (to Eskom as well as the economy). Reliability analysis conducted in this dissertation used Aliwal North power system network as a case study; the results proved that the system is vulnerable to faults, planned and unplanned outages. Reliability evaluation studies were conducted on the system using DigSilent software in conjunction with FME. These two models gave accurate results with acceptable variance in most indices except for the ENS where the variance was quite significant. It can be concluded that DigSilent results are the most accurate results in all three reliability evaluation scenarios for the Aliwal North Power System, best interpretation being that of DigSilent.
- Full Text:
- Date Issued: 2017
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