Pub Date : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467451
Susanna Aguilar, Emily B. Kean, Daniel Kushner, P. Larsen, J. Schlegelmilch
Electric utilities across the world are investing in smart city technology, from microgrids to electric vehicle (EV) infrastructure to increase grid resilience and move toward beneficial electrification. Investing in the technology, however, is not enough to ensure the widescale replication and adoption of smart city technologies necessary to achieve decarbonization goals. Commonwealth Edison (ComEd), the electric utility serving over 4 million customers in northern Illinois, including Chicago, is building strategic partnerships in academia to measure the impact of resilience efforts. This paper will explore partnerships ComEd has developed with the National Center for Disaster Preparedness (NCDP) at the Earth Institute of Columbia University and Lawrence Berkeley National Laboratory (LBNL) to study the impacts of emerging energy technology for widescale replication worldwide. Electric utilities must go beyond investment in smart grid technology. Studying, sharing, and modelling best practices through strategic partnerships is a necessary part of investment in emerging energy technologies to benefit rate payers and stakeholders.
{"title":"Partnerships to Enable Smart Cities And Support Resiliency","authors":"Susanna Aguilar, Emily B. Kean, Daniel Kushner, P. Larsen, J. Schlegelmilch","doi":"10.1109/SusTech51236.2021.9467451","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467451","url":null,"abstract":"Electric utilities across the world are investing in smart city technology, from microgrids to electric vehicle (EV) infrastructure to increase grid resilience and move toward beneficial electrification. Investing in the technology, however, is not enough to ensure the widescale replication and adoption of smart city technologies necessary to achieve decarbonization goals. Commonwealth Edison (ComEd), the electric utility serving over 4 million customers in northern Illinois, including Chicago, is building strategic partnerships in academia to measure the impact of resilience efforts. This paper will explore partnerships ComEd has developed with the National Center for Disaster Preparedness (NCDP) at the Earth Institute of Columbia University and Lawrence Berkeley National Laboratory (LBNL) to study the impacts of emerging energy technology for widescale replication worldwide. Electric utilities must go beyond investment in smart grid technology. Studying, sharing, and modelling best practices through strategic partnerships is a necessary part of investment in emerging energy technologies to benefit rate payers and stakeholders.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131946416","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467470
Kashif Liaqat, J. Ordonez
This work presents the effect of using molten salt-based nanofluids for performance enhancement of Concentrated Solar Power (CSP) plant. The study is carried out in the context of Pakistan, a country that has been struggling with energy crises for a very long time. Previously, it has been shown that a CSP plant in Pakistan is a feasible option. This paper aims to find an optimal combination of nanoparticles and molten salt for a CSP plant in Pakistan. The selected site Nara desert, Nawabshah in the province of Sindh receives an annual direct normal irradiance of 1955 kWh/m2. A 100 MW Parabolic Trough Collector (PTC) plant is modeled using the System Advisor Model (SAM) and is integrated with thermal energy storage of up to 10 hours. The model is validated by comparing results with commercial-scale plants. From literature, nanoparticles with the highest share of usage in performance enhancement of PTC collectors (CuO, Al2O3, and TiO2) with different fractions are selected and Hitec Solar Salt is considered as the base fluid. Parametric optimization is carried out for each of the working fluids. The performance is compared based on annual power generation, capacity factor, plant efficiency, and required Thermal Storage volume. The comparison shows that by using nanofluids, the annual power generation, capacity factor, and efficiency are increased by 8.86%, 8.88%, and 8.9% respectively, whereas the volume of thermal storage is reduced by 36.02%. The optimal fraction of nanoparticles is found to be 1%, 2%, and 5% for CuO, Al2O3, and TiO2, respectively.
本文介绍了熔融盐基纳米流体对聚光太阳能(CSP)电站性能提高的影响。这项研究是在巴基斯坦进行的，这个国家长期以来一直在与能源危机作斗争。此前，已经证明在巴基斯坦建设CSP工厂是一个可行的选择。这篇论文的目的是为巴基斯坦的一个CSP工厂找到纳米颗粒和熔盐的最佳组合。选定的地点位于信德省纳瓦布沙的Nara沙漠，年直接正常辐照度为1955 kWh/m2。一个100兆瓦的抛物槽集热器(PTC)电厂使用系统顾问模型(SAM)建模，并集成了长达10小时的热能储存。通过与商业规模工厂的结果比较，验证了该模型的有效性。从文献中，我们选择了不同馏分在PTC集热器性能增强中使用率最高的纳米颗粒(CuO、Al2O3和TiO2)，并将Hitec Solar Salt作为基液。对每种工作流体进行了参数优化。根据年发电量、容量系数、工厂效率和所需的蓄热量对性能进行比较。结果表明，采用纳米流体后，年发电量、容量系数和效率分别提高了8.86%、8.88%和8.9%，而蓄热体积减少了36.02%。CuO、Al2O3和TiO2的最佳纳米颗粒含量分别为1%、2%和5%。
{"title":"Molten Salt Based Nanofluids for Solar Thermal Power Plant: A Case Study","authors":"Kashif Liaqat, J. Ordonez","doi":"10.1109/SusTech51236.2021.9467470","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467470","url":null,"abstract":"This work presents the effect of using molten salt-based nanofluids for performance enhancement of Concentrated Solar Power (CSP) plant. The study is carried out in the context of Pakistan, a country that has been struggling with energy crises for a very long time. Previously, it has been shown that a CSP plant in Pakistan is a feasible option. This paper aims to find an optimal combination of nanoparticles and molten salt for a CSP plant in Pakistan. The selected site Nara desert, Nawabshah in the province of Sindh receives an annual direct normal irradiance of 1955 kWh/m2. A 100 MW Parabolic Trough Collector (PTC) plant is modeled using the System Advisor Model (SAM) and is integrated with thermal energy storage of up to 10 hours. The model is validated by comparing results with commercial-scale plants. From literature, nanoparticles with the highest share of usage in performance enhancement of PTC collectors (CuO, Al2O3, and TiO2) with different fractions are selected and Hitec Solar Salt is considered as the base fluid. Parametric optimization is carried out for each of the working fluids. The performance is compared based on annual power generation, capacity factor, plant efficiency, and required Thermal Storage volume. The comparison shows that by using nanofluids, the annual power generation, capacity factor, and efficiency are increased by 8.86%, 8.88%, and 8.9% respectively, whereas the volume of thermal storage is reduced by 36.02%. The optimal fraction of nanoparticles is found to be 1%, 2%, and 5% for CuO, Al2O3, and TiO2, respectively.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114068597","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467430
B. Vairamohan, G. Hunter, C. Arzbaecher, R. Ehrhard, J. Goodrich, John Hall
This paper describes the testing of two UV-C LED water disinfection pilot-scale units at the U.S. Environmental Protection Agency (EPA) Test and Evaluation Facility in Cincinnati, OH from December 2018 to October 2019. The pilot-scale testing included collimated beam testing and flow-through testing for both drinking water and municipal wastewater. The challenge test runs targeted MS-2 bacteriophage, total coliforms, heterotrophic plate count (HPC), Bacillus globigii, and Legionella in drinking water, and E.coli, Enterococci, total coliforms, HPC, and Bacillus globigii in municipal wastewater. The paper presents the results for MS-2 bacteriophage, total coliforms and HPC in drinking water.
{"title":"Innovative UV-C LED Disinfection Systems for DrinkingWater Treatment","authors":"B. Vairamohan, G. Hunter, C. Arzbaecher, R. Ehrhard, J. Goodrich, John Hall","doi":"10.1109/SusTech51236.2021.9467430","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467430","url":null,"abstract":"This paper describes the testing of two UV-C LED water disinfection pilot-scale units at the U.S. Environmental Protection Agency (EPA) Test and Evaluation Facility in Cincinnati, OH from December 2018 to October 2019. The pilot-scale testing included collimated beam testing and flow-through testing for both drinking water and municipal wastewater. The challenge test runs targeted MS-2 bacteriophage, total coliforms, heterotrophic plate count (HPC), Bacillus globigii, and Legionella in drinking water, and E.coli, Enterococci, total coliforms, HPC, and Bacillus globigii in municipal wastewater. The paper presents the results for MS-2 bacteriophage, total coliforms and HPC in drinking water.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121628459","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467425
Michael Wise, M. Al-Badri, Ben Loeffler, J. Kasper
This paper presents the results of a multifaceted study of the behavior of a novel hydrokinetic energy harvester that utilizes vertical oscillations. Unlike traditional rotating turbines used in hydrokinetic energy, this particular device utilizes the fluid structure interactions of vortex-induced-vibration and gallop. Due to the unique characteristics of this vertical motion, a thorough examination of the proposed system was conducted via a three-pronged approach of simulation, emulation, and field testing. Using a permanent magnet synchronous generator as the electrical power generation source, an electrical power conversion system was simulated, emulated, and tested to achieve appropriate power smoothing for use in microgrid systems present in many Alaskan rural locations.
{"title":"A Novel Vertically Oscillating Hydrokinetic Energy Harvester","authors":"Michael Wise, M. Al-Badri, Ben Loeffler, J. Kasper","doi":"10.1109/SusTech51236.2021.9467425","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467425","url":null,"abstract":"This paper presents the results of a multifaceted study of the behavior of a novel hydrokinetic energy harvester that utilizes vertical oscillations. Unlike traditional rotating turbines used in hydrokinetic energy, this particular device utilizes the fluid structure interactions of vortex-induced-vibration and gallop. Due to the unique characteristics of this vertical motion, a thorough examination of the proposed system was conducted via a three-pronged approach of simulation, emulation, and field testing. Using a permanent magnet synchronous generator as the electrical power generation source, an electrical power conversion system was simulated, emulated, and tested to achieve appropriate power smoothing for use in microgrid systems present in many Alaskan rural locations.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116588076","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467420
C. Monjardin, Raheemah A. Gomez, Marc Noblen G. Dela Cruz, Dennis Limher R. Capili, F. J. Tan, F. A. Uy
The study aimed to investigate the relationship between sediment transport and water quality change in Naic River, Cavite — a body of water exposed to various environmental and anthropogenic stressors such as urbanization, pollution and flooding. This research seeks to contribute to the limited research-based understanding of the dynamic, and potentially harmful relationship between sediments and water quality. To fill the gap, this study utilized the Hydrologic Engineering Centre-River Analysis System (HEC-RAS) model to forecast the river’s sediment volume and water quality from the period of January 2020-2021 using average weather flow under existing river geometry and characteristics. Additionally, water samples collected from three stations of the river were used for the analyses. This research has found that significan sediment volume will accumulate in the river, BOD will also increased, and the DO on the other hand decreased by the end of the year. Statistical analyses have also revealed a strong inverse relationship between the DO and the cumulative sediment volume; and a weak direct relationship between the cumulative sediment volume and the BOD. A potential increase in sediment volume will be particularly significant in the river's outlet based on the projection made which suggests that the Naic River might receive high amounts of pollutants. Furthermore, there was a strong agreement between the actual data and the HEC-RAS predicted data — which accounts for the efficiency of the method used in the study. Finally, because its water quality falls short of DENR's standards, this research confirms that the river is polluted. The results of this study may be used for close monitoring of the parameters that cause degradation of the water quality in the river. Various engineering solutions such as decentralized wastewater treatment and sustainable sediment management strategies are suggested to improve river water quality.
该研究旨在调查纳伊克河(Naic River, Cavite)的泥沙运移与水质变化之间的关系。纳伊克河是一个暴露于城市化、污染和洪水等各种环境和人为压力源的水体。本研究旨在促进对沉积物和水质之间动态和潜在有害关系的有限研究基础的理解。为了填补这一空白，本研究利用水文工程中心-河流分析系统(HEC-RAS)模型，利用现有河流几何形状和特征下的平均天气流量，预测了2020年1月至2021年1月期间河流的泥沙体积和水质。此外，从该河的三个站点收集的水样用于分析。本研究发现，到年底，河流中会积累大量泥沙，BOD也会增加，而DO则会减少。统计分析还显示，DO与累积泥沙体积呈强烈的负相关;累积泥沙体积与BOD之间的直接关系较弱。根据所作的预测，纳伊克河可能会受到大量污染物的污染，因此河流出水口沉积物量的潜在增加将特别显著。此外，实际数据与HEC-RAS预测数据之间有很强的一致性，这说明了研究中使用的方法的效率。最后，由于其水质没有达到DENR的标准，本研究证实了这条河被污染了。本研究结果可用于密切监测引起河流水质退化的参数。提出了分散污水处理和可持续泥沙管理等工程解决方案，以改善河流水质。
{"title":"Sediment Transport and Water Quality Analyses of Naic River, Cavite, Philippines","authors":"C. Monjardin, Raheemah A. Gomez, Marc Noblen G. Dela Cruz, Dennis Limher R. Capili, F. J. Tan, F. A. Uy","doi":"10.1109/SusTech51236.2021.9467420","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467420","url":null,"abstract":"The study aimed to investigate the relationship between sediment transport and water quality change in Naic River, Cavite — a body of water exposed to various environmental and anthropogenic stressors such as urbanization, pollution and flooding. This research seeks to contribute to the limited research-based understanding of the dynamic, and potentially harmful relationship between sediments and water quality. To fill the gap, this study utilized the Hydrologic Engineering Centre-River Analysis System (HEC-RAS) model to forecast the river’s sediment volume and water quality from the period of January 2020-2021 using average weather flow under existing river geometry and characteristics. Additionally, water samples collected from three stations of the river were used for the analyses. This research has found that significan sediment volume will accumulate in the river, BOD will also increased, and the DO on the other hand decreased by the end of the year. Statistical analyses have also revealed a strong inverse relationship between the DO and the cumulative sediment volume; and a weak direct relationship between the cumulative sediment volume and the BOD. A potential increase in sediment volume will be particularly significant in the river's outlet based on the projection made which suggests that the Naic River might receive high amounts of pollutants. Furthermore, there was a strong agreement between the actual data and the HEC-RAS predicted data — which accounts for the efficiency of the method used in the study. Finally, because its water quality falls short of DENR's standards, this research confirms that the river is polluted. The results of this study may be used for close monitoring of the parameters that cause degradation of the water quality in the river. Various engineering solutions such as decentralized wastewater treatment and sustainable sediment management strategies are suggested to improve river water quality.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123526690","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467468
Michael Balestrieri, S. Kahrobaee, Peter Kim
Microgrid market is growing throughout the world with a variety of applications, supporting electric energy needs of the customers. Microgrids may improve reliability and resiliency of an existing grid or serve as the main grid in remote areas. Depending on the purpose behind a microgrid project and potential site limitations, different methodologies may be required to design and size its components. This paper provides two different approaches in sizing DERs for grid-connected and off-grid microgrids. A sizing tool has been developed based on the proposed methods and applied to two potential microgrid sites. The results for each case will be presented in this paper.
{"title":"Application-based Methodology for Microgrid Sizing","authors":"Michael Balestrieri, S. Kahrobaee, Peter Kim","doi":"10.1109/SusTech51236.2021.9467468","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467468","url":null,"abstract":"Microgrid market is growing throughout the world with a variety of applications, supporting electric energy needs of the customers. Microgrids may improve reliability and resiliency of an existing grid or serve as the main grid in remote areas. Depending on the purpose behind a microgrid project and potential site limitations, different methodologies may be required to design and size its components. This paper provides two different approaches in sizing DERs for grid-connected and off-grid microgrids. A sizing tool has been developed based on the proposed methods and applied to two potential microgrid sites. The results for each case will be presented in this paper.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129709283","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467465
T. Dawood, E. Elwakil, H. Novoa, J. Delgado
Frequent occurrences of pipe failure pose a huge threat to potable water security worldwide. The condition assessment of watermains is one of the key strategies that can pinpoint risky pipes and maintain their sustainability. Intelligent systems such as fuzzy inference system (FIS) and adaptive neuro-fuzzy inference system (ANFIS) have proved their efficacy in simulating and predicting intricate water infrastructure problems. This research paper proposes a novel methodology for the development of a risk scale, along with the evaluation and quantification of water network’s condition index. The Arequipa region in Peru that comprises eight provinces is chosen to demonstrate the proposed methodology due to the fast pace of urban sprawl, as well as the economic boom that make sustaining underground pipelines a difficult task. The methodology builds on various algorithms, computational intelligence and interactions between different variables. It involves developing two intelligent models; the first is the ANFIS model that is designed to estimate the watermains condition index of each province through the grid partitioning and hybrid optimization function. Several neuro-fuzzy networks are created and tested through different statistical indicators to select the optimal network that can be used to predict the condition indices of each province. The produced condition indices are then streamlined and entered into the FIS engine to develop the second (FIS) model, which is built on the basis of Mamdani system. The FIS engine runs an iterative simulation process through which the input variables are fuzzified, fuzzy rules are evaluated, outputs are aggregated, and results are de-fuzzified. Finally, the fuzzy consolidator generates one crisp number that represents the water network condition index of the region. The resulted risk scale indicates that the condition of water distribution networks of the Arequipa region is medium, in accordance to the questionnaire of professionals and field experts. This research provides insights for infrastructure managers concerning their maintenance, replacement or rehabilitation plans.
{"title":"An Intelligent Approach for the Condition Assessment of Watermains","authors":"T. Dawood, E. Elwakil, H. Novoa, J. Delgado","doi":"10.1109/SusTech51236.2021.9467465","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467465","url":null,"abstract":"Frequent occurrences of pipe failure pose a huge threat to potable water security worldwide. The condition assessment of watermains is one of the key strategies that can pinpoint risky pipes and maintain their sustainability. Intelligent systems such as fuzzy inference system (FIS) and adaptive neuro-fuzzy inference system (ANFIS) have proved their efficacy in simulating and predicting intricate water infrastructure problems. This research paper proposes a novel methodology for the development of a risk scale, along with the evaluation and quantification of water network’s condition index. The Arequipa region in Peru that comprises eight provinces is chosen to demonstrate the proposed methodology due to the fast pace of urban sprawl, as well as the economic boom that make sustaining underground pipelines a difficult task. The methodology builds on various algorithms, computational intelligence and interactions between different variables. It involves developing two intelligent models; the first is the ANFIS model that is designed to estimate the watermains condition index of each province through the grid partitioning and hybrid optimization function. Several neuro-fuzzy networks are created and tested through different statistical indicators to select the optimal network that can be used to predict the condition indices of each province. The produced condition indices are then streamlined and entered into the FIS engine to develop the second (FIS) model, which is built on the basis of Mamdani system. The FIS engine runs an iterative simulation process through which the input variables are fuzzified, fuzzy rules are evaluated, outputs are aggregated, and results are de-fuzzified. Finally, the fuzzy consolidator generates one crisp number that represents the water network condition index of the region. The resulted risk scale indicates that the condition of water distribution networks of the Arequipa region is medium, in accordance to the questionnaire of professionals and field experts. This research provides insights for infrastructure managers concerning their maintenance, replacement or rehabilitation plans.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127744055","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467473
Susanna Aguilar, Daniel Kushner, Jim Ortega, Aleksi Paaso, J. Ratner, J. Schlegelmilch
Utility learnings from the COVID-19 pandemic include valuable lessons about the role of analytics in increasing grid resilience to mitigate high impact, low probability events, including future pandemics and severe weather events brought on by climate change. New insights make a case for using resiliency metrics instead of traditional reliability metrics to direct investments designed to harden the grid. The data also underscores the growing importance of the role of external stakeholders including regulators and the general public in setting priorities as we match the capabilities of an increasingly responsive grid to an increasingly dynamic risk environment. While there are key differences between the impact of the COVID-19 pandemic on utility operations and the grid versus the typical impact of weather-related events, a grid that is more resilient to weather-related events also provides resilience during a pandemic. The timeline to a post-pandemic normal is still unknown, but utilities can leverage the economic recovery that will follow the current economic recession to build a more resilient and sustainable grid with the support of analytic tools, models and metrics that enable dynamic grid operations and investment that address immediate and longer term risks.
{"title":"Using Analytics to Inform Post-Pandemic Resiliency Strategy","authors":"Susanna Aguilar, Daniel Kushner, Jim Ortega, Aleksi Paaso, J. Ratner, J. Schlegelmilch","doi":"10.1109/SusTech51236.2021.9467473","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467473","url":null,"abstract":"Utility learnings from the COVID-19 pandemic include valuable lessons about the role of analytics in increasing grid resilience to mitigate high impact, low probability events, including future pandemics and severe weather events brought on by climate change. New insights make a case for using resiliency metrics instead of traditional reliability metrics to direct investments designed to harden the grid. The data also underscores the growing importance of the role of external stakeholders including regulators and the general public in setting priorities as we match the capabilities of an increasingly responsive grid to an increasingly dynamic risk environment. While there are key differences between the impact of the COVID-19 pandemic on utility operations and the grid versus the typical impact of weather-related events, a grid that is more resilient to weather-related events also provides resilience during a pandemic. The timeline to a post-pandemic normal is still unknown, but utilities can leverage the economic recovery that will follow the current economic recession to build a more resilient and sustainable grid with the support of analytic tools, models and metrics that enable dynamic grid operations and investment that address immediate and longer term risks.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121657901","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 : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467435
T. Dawood, E. Elwakil, H. Novoa, J. Delgado
The risk assessment and modeling of watermains are complicated tasks, which are proportional to the intricacy of underground water networks. These networks are known to be nonlinear, dynamic, and involve a multitude of influential factors that cannot be measured accurately in any conventional metrics. In general, deterioration factors obtained from field inspections reports or from experts’ survey have certain degrees of ambiguity and subjectivity. One of the potent methods that have emerged in the last four decades to solve civil infrastructure problems, is the fuzzy inference system (FIS). This method can encode the deterioration factors into risk indices while coping with the inaccuracy, ambiguity, and fuzziness of data. The objective of this paper is to develop a risk index model for water transmission pipes based on simulation and FIS. First, the input and output datasets of the proposed model are defined based on inspection reports and experts’ questionnaire; both the input and output datasets are fed into the FIS engine. Second, the fuzzy logic control engine is designed by defining the membership functions and the rules in the fuzzy operator. The third step includes
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Pub Date : 2021-04-22DOI: 10.1109/SusTech51236.2021.9467434
M. Shahzad, Muhammad Shahbaz Khan, Muhammad Owais Tariq, S. Ullah
A microgrid is a combination of Renewable Energy Sources (RES) and Distributed Generation (DG), which can be operated in both islanded mode and grid-connected mode. It is a reliable solution for overcoming the inefficiencies and mismanagement in a power system. Due to the increased power consumption, the current electric power system is experiencing grave operational challenges and as a result, the transmission line blackouts occur occasionally. The paper presents and analyzes a microgrid system based on RES with a focus on the smart use of demand and generation in a microgrid. In the proposed system, power sources are scheduled as per requirement and the loads are categorized as critical and non-critical loads. The power to the critical load must always be maintained therefore, in a critical situation the power to the non-critical load is shed off to make the critical load running. Moreover, the load management is done by using the Demand Side Management (DSM) technique, in which load is shifted from peak hours to off-peak hours. The proposed system is simulated in MATLAB and a prototype has also been developed. The results indicate the smart supply to the critical and non-critical loads as per the defined conditions and availability of the power sources.
{"title":"Adaptive control of distributed generation and demand side management in a microgrid","authors":"M. Shahzad, Muhammad Shahbaz Khan, Muhammad Owais Tariq, S. Ullah","doi":"10.1109/SusTech51236.2021.9467434","DOIUrl":"https://doi.org/10.1109/SusTech51236.2021.9467434","url":null,"abstract":"A microgrid is a combination of Renewable Energy Sources (RES) and Distributed Generation (DG), which can be operated in both islanded mode and grid-connected mode. It is a reliable solution for overcoming the inefficiencies and mismanagement in a power system. Due to the increased power consumption, the current electric power system is experiencing grave operational challenges and as a result, the transmission line blackouts occur occasionally. The paper presents and analyzes a microgrid system based on RES with a focus on the smart use of demand and generation in a microgrid. In the proposed system, power sources are scheduled as per requirement and the loads are categorized as critical and non-critical loads. The power to the critical load must always be maintained therefore, in a critical situation the power to the non-critical load is shed off to make the critical load running. Moreover, the load management is done by using the Demand Side Management (DSM) technique, in which load is shifted from peak hours to off-peak hours. The proposed system is simulated in MATLAB and a prototype has also been developed. The results indicate the smart supply to the critical and non-critical loads as per the defined conditions and availability of the power sources.","PeriodicalId":127126,"journal":{"name":"2021 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132713891","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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