Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758974
Faiqa Tariq, Reeha Shareef, T. Mahmood
Dynamic nature of Renewable Energy Sources (RESs) pose many problems in microgrid unlike the conventional energy resources with distributed energy resources (DERs). Therefore, battery energy storage system (BESS) has gained popularity due to its better efficiency and high energy density. Generally, BESS cannot operate without any local voltage source (VS). Moreover, non-linear loads cause many issues such as harmonic current and current unbalance when connected to the power system. Supply output voltage and current is also distorted due to the interaction of harmonic currents with the VS impedance. This paper presents the power flow to the loads under grid-connected mode and islanded-mode considering both linear and non-linear loads. In this paper, the analytical methodology to investigate the feasible rating of VS is also discussed for safe operation of microgrid using MATLAB/Simulink. Further, suitable rating of VS improves power quality (PQ) of the power system as it can withstand harmonics effects caused by RES and non-linear loads.
{"title":"Investigating the Effect of Non-Linear Loads on Sizing of Voltage Source in Microgrid with Distributed Energy Resources","authors":"Faiqa Tariq, Reeha Shareef, T. Mahmood","doi":"10.1109/ICECE54634.2022.9758974","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758974","url":null,"abstract":"Dynamic nature of Renewable Energy Sources (RESs) pose many problems in microgrid unlike the conventional energy resources with distributed energy resources (DERs). Therefore, battery energy storage system (BESS) has gained popularity due to its better efficiency and high energy density. Generally, BESS cannot operate without any local voltage source (VS). Moreover, non-linear loads cause many issues such as harmonic current and current unbalance when connected to the power system. Supply output voltage and current is also distorted due to the interaction of harmonic currents with the VS impedance. This paper presents the power flow to the loads under grid-connected mode and islanded-mode considering both linear and non-linear loads. In this paper, the analytical methodology to investigate the feasible rating of VS is also discussed for safe operation of microgrid using MATLAB/Simulink. Further, suitable rating of VS improves power quality (PQ) of the power system as it can withstand harmonics effects caused by RES and non-linear loads.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121482849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/icece54634.2022.9758963
{"title":"[ICECE 2022 Front cover]","authors":"","doi":"10.1109/icece54634.2022.9758963","DOIUrl":"https://doi.org/10.1109/icece54634.2022.9758963","url":null,"abstract":"","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122489119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758961
Hamza Babar, I. A. Chaudhry, M. Saleem, Ahmed Nouman
Energy policy plays a vital role in a country’s dynamics. Developing countries like Pakistan are struggling to meet their energy needs. However, certain factors hinder the effectiveness of energy policies. While designing the energy policy, it is vital to consider all the stakeholders, especially energy consumers, in this regard. This study aims to include public opinion to extricate the key factors lacking in the current energy policy of Pakistan. Our results showed that lack of dams & renewable energy, corruption, and politics as the key factor hindering the successful implementation of policies in Pakistan. Moreover, our results showed that the majority of the energy consumers preferred cheaper energy with flat rates. Therefore, shifting our energy policies to renewable energy will overcome the expensive electricity generation and help provide a more affordable solution. Moreover, we provide renewable energy utilization as an alternative for an affordable solution to the country’s energy shortage.
{"title":"Energy Policy of Pakistan: A Consumer Perspective","authors":"Hamza Babar, I. A. Chaudhry, M. Saleem, Ahmed Nouman","doi":"10.1109/ICECE54634.2022.9758961","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758961","url":null,"abstract":"Energy policy plays a vital role in a country’s dynamics. Developing countries like Pakistan are struggling to meet their energy needs. However, certain factors hinder the effectiveness of energy policies. While designing the energy policy, it is vital to consider all the stakeholders, especially energy consumers, in this regard. This study aims to include public opinion to extricate the key factors lacking in the current energy policy of Pakistan. Our results showed that lack of dams & renewable energy, corruption, and politics as the key factor hindering the successful implementation of policies in Pakistan. Moreover, our results showed that the majority of the energy consumers preferred cheaper energy with flat rates. Therefore, shifting our energy policies to renewable energy will overcome the expensive electricity generation and help provide a more affordable solution. Moreover, we provide renewable energy utilization as an alternative for an affordable solution to the country’s energy shortage.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121140917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758964
Muhammad Usama Khan, Tong Wu, M. Zubair Rafique, Hongjin Li, Tariq Khan Khalil, Hameed Ullah
NdFeB has become the most common material for permanent magnet synchronous machines. Much research has been done on NdFeB-based permanent magnets (PMs) in the last few years (PMSMs). Although NdFeB PMs have a higher energy density and are more cost-effective than other kinds of magnets, their magnetization is very sensitive to PMSM working conditions, particularly temperature, where the irreversible demagnetization degree rises with time. As a result, it's critical to identify and diagnose demagnetization as soon as possible. This research provides a two-step analytical study dealing with uniform and partial demagnetization in this setting. A methodology based on the fast Fourier transform (FFT)-based PMSM motor current signature analysis (MCSA) is utilized to characterize demagnetization using a 2D finite element method. Subsequently, harmonics in fault instances are employed to identify demagnetization. The suggested two-step technique yielded findings identifying and characterizing demagnetization in certain cases. A local demagnetization creates particular sub-harmonics, but a uniform demagnetization increases current amplitude for a given torque.
{"title":"Analysis of Demagnetization of Amorphous Alloy High-Speed Permanent Magnet Motor","authors":"Muhammad Usama Khan, Tong Wu, M. Zubair Rafique, Hongjin Li, Tariq Khan Khalil, Hameed Ullah","doi":"10.1109/ICECE54634.2022.9758964","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758964","url":null,"abstract":"NdFeB has become the most common material for permanent magnet synchronous machines. Much research has been done on NdFeB-based permanent magnets (PMs) in the last few years (PMSMs). Although NdFeB PMs have a higher energy density and are more cost-effective than other kinds of magnets, their magnetization is very sensitive to PMSM working conditions, particularly temperature, where the irreversible demagnetization degree rises with time. As a result, it's critical to identify and diagnose demagnetization as soon as possible. This research provides a two-step analytical study dealing with uniform and partial demagnetization in this setting. A methodology based on the fast Fourier transform (FFT)-based PMSM motor current signature analysis (MCSA) is utilized to characterize demagnetization using a 2D finite element method. Subsequently, harmonics in fault instances are employed to identify demagnetization. The suggested two-step technique yielded findings identifying and characterizing demagnetization in certain cases. A local demagnetization creates particular sub-harmonics, but a uniform demagnetization increases current amplitude for a given torque.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131980421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758956
Huahua Wu, Jie Yu, Li Chang, T. Zhang, Jiajia Qian, Side Zhang
Under the background of the deepening reform of power market, load aggregators can aggregate adjustable flexible load resources to participate in the market, which can effectively alleviate the problem of power supply resource shortage. However, how to select the aggregation object and how to design the demand response package are urgent problems for load aggregators. This paper first evaluates the potential of load demand response and conducts user clustering based on its potential. Combined with the theory of cloud model, the evaluation level of user demand response ability is constructed, and the aggregated user object is further selected. Secondly, considering that the load aggregator supplies power to the user, the power can be purchased from the grid or generated by itself, the load aggregator - user two-layer model is established considering the adjustable characteristics of the load. Then through KKT condition analysis, the two-layer model is transformed into a single-layer model, and Gurobi solver is invoked to optimize the solution. Finally, an example shows that the model can optimize the demand response packages for load aggregators and soften the user side load demands.
{"title":"Optimization of Demand Response Packages Based on High Flexibility and Adjustable Characteristics of Load Side","authors":"Huahua Wu, Jie Yu, Li Chang, T. Zhang, Jiajia Qian, Side Zhang","doi":"10.1109/ICECE54634.2022.9758956","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758956","url":null,"abstract":"Under the background of the deepening reform of power market, load aggregators can aggregate adjustable flexible load resources to participate in the market, which can effectively alleviate the problem of power supply resource shortage. However, how to select the aggregation object and how to design the demand response package are urgent problems for load aggregators. This paper first evaluates the potential of load demand response and conducts user clustering based on its potential. Combined with the theory of cloud model, the evaluation level of user demand response ability is constructed, and the aggregated user object is further selected. Secondly, considering that the load aggregator supplies power to the user, the power can be purchased from the grid or generated by itself, the load aggregator - user two-layer model is established considering the adjustable characteristics of the load. Then through KKT condition analysis, the two-layer model is transformed into a single-layer model, and Gurobi solver is invoked to optimize the solution. Finally, an example shows that the model can optimize the demand response packages for load aggregators and soften the user side load demands.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127101318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758969
Syed Abbas Rameez Gilani, Menghzen Chen, Archana Tikayat Rai
Due to the penetration of renewable sources of energy, Combined Cycle Gas Turbines (CCGTs) have to be operated more flexibly in a deregulated electricity market where generation, transmission, and distribution are managed by different entities. It is crucial to keep the operation and maintenance costs of the CCGTs to a minimum in order to maximize profit. A trade-off study was performed with different weather scenarios to see which operational variable of the plant had the major impact on the overall profit. Results show that base load and heat rate has the most significant effect on maximizing profit. An interactive parametric environment was created to support visualizing the trade study results. This tool can help the operator decide how to operate the plant efficiently in order to gain the maximum profit.
{"title":"CCGT Power Plant Response Analysis and Mission Planning for Deregulated Electricity Market","authors":"Syed Abbas Rameez Gilani, Menghzen Chen, Archana Tikayat Rai","doi":"10.1109/ICECE54634.2022.9758969","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758969","url":null,"abstract":"Due to the penetration of renewable sources of energy, Combined Cycle Gas Turbines (CCGTs) have to be operated more flexibly in a deregulated electricity market where generation, transmission, and distribution are managed by different entities. It is crucial to keep the operation and maintenance costs of the CCGTs to a minimum in order to maximize profit. A trade-off study was performed with different weather scenarios to see which operational variable of the plant had the major impact on the overall profit. Results show that base load and heat rate has the most significant effect on maximizing profit. An interactive parametric environment was created to support visualizing the trade study results. This tool can help the operator decide how to operate the plant efficiently in order to gain the maximum profit.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124856025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758960
M. Aurangzeb, Ai Xin, S. Iqbal, S. Habib, M. U. Jan, H. Rehman, Hassan Saeed Qazi, Rana Sarmad Mahmood
Electric vehicles are more and more became come out in power systems. Electric cars, including the quantity and duration of charging and discharging their batteries, will give exceptional improvements to the structure of power networks if they use Optimum Scheduling Schemes. The energy costs in the entire architecture of the power system can be gradually modified by paying in periods of low power costs and releasing in periods of high-power costs. In addition, in high-demand cycles in the power system it can be supported to satisfy the electricity demand. On the other hand, at a time when a thought about the vast population of electric vehicles could be influential in their ideal planning, multiple down to earth considerations including the battery life. However, the scheduling problem has 2 major future challenges. First, the challenge is to cut down cost using decentralized optimal scheduling solution. Second, it is arduous finding distributed scheduling scheme, can maintain huge population and EVs abnormal arrivals. Localized optimum scheduling, globally optimal scheduling, and locally optimal scheduling are three EV charging and discharge techniques presented in this research. At the start we delineate global scheduling optimization issue by optimizing charging forces to reduce the cost of EVs performing charging and discharging for a day. Decentralized optimal solution offers the absolute minimum cost. The globally optimal scheduling scheme, however, is not realistic because it entails details dependent on potential base loads from EVs, arrival times and charging times that will arrive in the future time of day. To build concrete scheduling schemes, we need to delineate the decentralized scheduling optimization in order to minimize the total cost of EVs in the current ongoing local community EV collection. Here, a distributed EV charging controller is developed to achieve “valley filling” (flattening demand profiles during nighttime charging), thereby fulfilling diverse individual charging requirements and addressing distribution network constraints significantly improved than others.
{"title":"Decentralized Based Advance Optimized Scheduling Scheme to Charge and Discharge the Electric Vehicles","authors":"M. Aurangzeb, Ai Xin, S. Iqbal, S. Habib, M. U. Jan, H. Rehman, Hassan Saeed Qazi, Rana Sarmad Mahmood","doi":"10.1109/ICECE54634.2022.9758960","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758960","url":null,"abstract":"Electric vehicles are more and more became come out in power systems. Electric cars, including the quantity and duration of charging and discharging their batteries, will give exceptional improvements to the structure of power networks if they use Optimum Scheduling Schemes. The energy costs in the entire architecture of the power system can be gradually modified by paying in periods of low power costs and releasing in periods of high-power costs. In addition, in high-demand cycles in the power system it can be supported to satisfy the electricity demand. On the other hand, at a time when a thought about the vast population of electric vehicles could be influential in their ideal planning, multiple down to earth considerations including the battery life. However, the scheduling problem has 2 major future challenges. First, the challenge is to cut down cost using decentralized optimal scheduling solution. Second, it is arduous finding distributed scheduling scheme, can maintain huge population and EVs abnormal arrivals. Localized optimum scheduling, globally optimal scheduling, and locally optimal scheduling are three EV charging and discharge techniques presented in this research. At the start we delineate global scheduling optimization issue by optimizing charging forces to reduce the cost of EVs performing charging and discharging for a day. Decentralized optimal solution offers the absolute minimum cost. The globally optimal scheduling scheme, however, is not realistic because it entails details dependent on potential base loads from EVs, arrival times and charging times that will arrive in the future time of day. To build concrete scheduling schemes, we need to delineate the decentralized scheduling optimization in order to minimize the total cost of EVs in the current ongoing local community EV collection. Here, a distributed EV charging controller is developed to achieve “valley filling” (flattening demand profiles during nighttime charging), thereby fulfilling diverse individual charging requirements and addressing distribution network constraints significantly improved than others.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758972
A. Shahzad, Y. Qiu, Yanhui Feng, W. Ullah
In permanent magnet synchronous generator (PMSG) based wind turbine system, back-to-back converter i.e., Machine side converter (MSC) and Grid side converter (GSC) is essential sub-assembly that develop interface between wind power generated and utility grid however, GSC of PMSG based wind turbine suffer from voltage suppression at DC-link, reactive current injection and active power fluctuation under fault condition which deteriorate overall system efficiency and causes system shut-down. To overcome the aforesaid issues and avoid system shutdown, in this paper modified SVPWM based improve vector current control (VCC) is proposed that is developed from direct power control (DPC) and open-switched fault tolerant control. Compared with the conventional VCC that employ complex phase lock loop (PLL) to extract voltage angle of grid, the proposed PLL-free improved VCC (IVCC) based on DPC, uses Clarke’s transformation and instantaneous active and reactive power that simplifies control scheme. Furthermore, under fault condition (grid side distortion), conventional VCC fails to tract grid voltage angle due to inability of PLL and poor transient stability whereas in proposed IVCC based on DPC (IVCC-DPC), PLL-free inner close loop is utilized to control GSC. To show the effectiveness of proposed IVCC-DPC based on modified eight-sector SVPWM based, a 2-level GSC is modelled and simulated via MATLAB-Simulink. Simulated model is examined for fault-tolerant capability (in context of low voltage ride through) and power quality. Finally, DSP based 1.8 kVA experimentally test platform using IVCC-DPC based on modified SVPWM is designed to validate the proposed developed model.
{"title":"DSP-Based Fault Tolerant Grid Side Converter in PMSG Wind Turbine Using Improved Vector Current Control with Modified SVPWM","authors":"A. Shahzad, Y. Qiu, Yanhui Feng, W. Ullah","doi":"10.1109/ICECE54634.2022.9758972","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758972","url":null,"abstract":"In permanent magnet synchronous generator (PMSG) based wind turbine system, back-to-back converter i.e., Machine side converter (MSC) and Grid side converter (GSC) is essential sub-assembly that develop interface between wind power generated and utility grid however, GSC of PMSG based wind turbine suffer from voltage suppression at DC-link, reactive current injection and active power fluctuation under fault condition which deteriorate overall system efficiency and causes system shut-down. To overcome the aforesaid issues and avoid system shutdown, in this paper modified SVPWM based improve vector current control (VCC) is proposed that is developed from direct power control (DPC) and open-switched fault tolerant control. Compared with the conventional VCC that employ complex phase lock loop (PLL) to extract voltage angle of grid, the proposed PLL-free improved VCC (IVCC) based on DPC, uses Clarke’s transformation and instantaneous active and reactive power that simplifies control scheme. Furthermore, under fault condition (grid side distortion), conventional VCC fails to tract grid voltage angle due to inability of PLL and poor transient stability whereas in proposed IVCC based on DPC (IVCC-DPC), PLL-free inner close loop is utilized to control GSC. To show the effectiveness of proposed IVCC-DPC based on modified eight-sector SVPWM based, a 2-level GSC is modelled and simulated via MATLAB-Simulink. Simulated model is examined for fault-tolerant capability (in context of low voltage ride through) and power quality. Finally, DSP based 1.8 kVA experimentally test platform using IVCC-DPC based on modified SVPWM is designed to validate the proposed developed model.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124968004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758971
A. Q. Mohabuth
Universities today hold heavy infrastructure of computing resources with data centres that are hungry in terms of energy consumption. The growing needs of computing resources facilitate the provision of better services and performance at all level in Universities, but unfortunately impacted negatively on the environment. Computing resources are seen to contribute to 2% of carbon footprint and there is a high need for Universities to turn towards green computing to minimise impact on the environment. This study made reference to the case at the University of Mauritius which is not uncommon to the problem and face similar challenges as other Universities for the implantation of green practices on its campus. An assessment of the objective and perceived knowledge of students and staff were carried out first. The influential factors and green practices applied by students and staff were investigated. Both quantitative and qualitative approach guided the study. Questionnaires were used to gather data about the status of green computing knowledge and practices of students and staff of the University at the different Faculties. The research was triangulated by qualitative methods where students and staff were interviewed to add up further issues regarding green computing, besides validating and confirming some of the facts gathered during the quantitative stage. Semi-structured and e-focus group interviews were conducted. Findings led to the development of an appropriate framework which made room for green computing knowledge and its assessment facilitating in the background energy efficiency, cloud computing, reuse as well as recycling and disposal. An appropriate app that fitted the specification of the findings was developed. Features which would facilitate the adoption of green computing practices across the campus were integrated therein. The app was evaluated and was found helpful for Universities to make green practices become a responsibility and not just be seen as a requirement. Accordingly, Universities can help to reduce carbon footprint by promoting the adoption of green computing for educational and societal benefits.
{"title":"A framework for the implementation of green computing in Universities","authors":"A. Q. Mohabuth","doi":"10.1109/ICECE54634.2022.9758971","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758971","url":null,"abstract":"Universities today hold heavy infrastructure of computing resources with data centres that are hungry in terms of energy consumption. The growing needs of computing resources facilitate the provision of better services and performance at all level in Universities, but unfortunately impacted negatively on the environment. Computing resources are seen to contribute to 2% of carbon footprint and there is a high need for Universities to turn towards green computing to minimise impact on the environment. This study made reference to the case at the University of Mauritius which is not uncommon to the problem and face similar challenges as other Universities for the implantation of green practices on its campus. An assessment of the objective and perceived knowledge of students and staff were carried out first. The influential factors and green practices applied by students and staff were investigated. Both quantitative and qualitative approach guided the study. Questionnaires were used to gather data about the status of green computing knowledge and practices of students and staff of the University at the different Faculties. The research was triangulated by qualitative methods where students and staff were interviewed to add up further issues regarding green computing, besides validating and confirming some of the facts gathered during the quantitative stage. Semi-structured and e-focus group interviews were conducted. Findings led to the development of an appropriate framework which made room for green computing knowledge and its assessment facilitating in the background energy efficiency, cloud computing, reuse as well as recycling and disposal. An appropriate app that fitted the specification of the findings was developed. Features which would facilitate the adoption of green computing practices across the campus were integrated therein. The app was evaluated and was found helpful for Universities to make green practices become a responsibility and not just be seen as a requirement. Accordingly, Universities can help to reduce carbon footprint by promoting the adoption of green computing for educational and societal benefits.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129678578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/ICECE54634.2022.9758958
Muhammad Naveed Naz, Abdul Samad, N. Das, S. Imtiaz, M. Altaf
Instability of multi-microgrids is a challenging issue for sustainable power delivery. Wind is considered as a renewable energy resource which has abundant intermittencies. Voltage and frequency instability occur due to sudden load changing, real time power switching and intermittencies due to different weather conditions. The instability of one wind turbine overloaded the other wind turbines to fulfill the demand of load which ultimately impact the other turbines being a part of that micro-grid. Instability of multi-microgrids becomes more worst at islanding mode of existing power grid. In this article, voltage and frequency stability of multi-microgrids assisted diversified wind energy resources is improved effectively. A scheme has been developed which ensure frequency and voltage stability of multi-microgrids assisted diversified wind energy resources by effectively utilizing Static Synchronous Compensator (STATCOM) controller scheme with battery energy storage system which overcomes the steady and transient state instability issues. Proposed scheme will be analysed at both general and islanding mode of existing power grid. A system test model is implemented in simulink to analyse the proposed solutions of different mentioned problems.
{"title":"Effective Stability Improvement of Multi-Microgrids Assisted Diversified Wind Energy Resources","authors":"Muhammad Naveed Naz, Abdul Samad, N. Das, S. Imtiaz, M. Altaf","doi":"10.1109/ICECE54634.2022.9758958","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758958","url":null,"abstract":"Instability of multi-microgrids is a challenging issue for sustainable power delivery. Wind is considered as a renewable energy resource which has abundant intermittencies. Voltage and frequency instability occur due to sudden load changing, real time power switching and intermittencies due to different weather conditions. The instability of one wind turbine overloaded the other wind turbines to fulfill the demand of load which ultimately impact the other turbines being a part of that micro-grid. Instability of multi-microgrids becomes more worst at islanding mode of existing power grid. In this article, voltage and frequency stability of multi-microgrids assisted diversified wind energy resources is improved effectively. A scheme has been developed which ensure frequency and voltage stability of multi-microgrids assisted diversified wind energy resources by effectively utilizing Static Synchronous Compensator (STATCOM) controller scheme with battery energy storage system which overcomes the steady and transient state instability issues. Proposed scheme will be analysed at both general and islanding mode of existing power grid. A system test model is implemented in simulink to analyse the proposed solutions of different mentioned problems.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123416530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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