Pub Date : 2019-10-01DOI: 10.1109/IESC47067.2019.8976812
N. R. Poespawati, J. Sulistianto, T. Abuzairi, R. P
Perovskite gained its popularity and intensively studied due to its excellent characteristics for the active layer in a solar cell. One component in perovskite solar cells is an electron transport layer. TiO2 is one of the materials that can be used as an electron transport layer and have excellent properties such as good stability and higher performance compared to another inorganic electron transport layer. In this work, we investigated the performance of perovskite solar cells by varying the spin coating rate when fabricating the TiO2 layer. Various spin coating rate was performed in this work ranging from 1000 rpm to 4000 rpm. The best performing devices are when the spin coating rate of the TiO2 layer was set to 3000 rpm.
{"title":"Optimized Spin Coating Rate for TiO2 Layer in Perovskite Solar Cell","authors":"N. R. Poespawati, J. Sulistianto, T. Abuzairi, R. P","doi":"10.1109/IESC47067.2019.8976812","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976812","url":null,"abstract":"Perovskite gained its popularity and intensively studied due to its excellent characteristics for the active layer in a solar cell. One component in perovskite solar cells is an electron transport layer. TiO2 is one of the materials that can be used as an electron transport layer and have excellent properties such as good stability and higher performance compared to another inorganic electron transport layer. In this work, we investigated the performance of perovskite solar cells by varying the spin coating rate when fabricating the TiO2 layer. Various spin coating rate was performed in this work ranging from 1000 rpm to 4000 rpm. The best performing devices are when the spin coating rate of the TiO2 layer was set to 3000 rpm.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115392509","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976784
Qianyu Shao, Muthu Arigovindan
In order to further expand the geothermal industry, it is important to evaluate and clarify design and installation methodologies constantly. The soaring prices of oil and electricity have pushed the market to develop more energy efficient systems. For instance, as per Department of Energy Ground Source Heat Pump has ability to reduce the energy consumption from 30% to 60% over its counterparts. In 2017, the geothermal heat pump market was valued at 70.61 billion USD, by the year 2024 it is predicted that the market value will reach 187.72 billion USD. Such rapid growth in the coming years demands more specific data and to move away from current generalized designs. Through the study of published work and virtual sources, it was observed that there was little comprehensive analysis regarding the specific heat of soil and rock. Using prior knowledge of USCS soil classification, our engineers intend to gather distinct specific heat values for identified samples. The collection of thermal properties of individual components such as; soil, grout, HDPE pipe, and distilled water, will aid in developing a theoretical thermal resistance model in accordance to a practical geothermal system underground pipe structure. Tests will be set up to investigate the relationship between soil properties such as moisture and specific heat. Once specific heat values Cp (J/(kg· K)) (BTU/ft· °F) are drawn, conclusions may be developed with regard to critical variables such as thermal conductivity (W /(m· K)/(BTU/(h ·ft·°F)), diffusivity (ft2/s), and specific heat resistivity «K/W)/(h. ft· °F /BTU)); which directly impact the geothermal thermal heat pump design. More accurate data will enhance the coefficient of performance. The research will serve to aid field work as a reliable resource for determination of soil specific heat values, as well as optimize the geothermal system heat exchange behavior as a whole. In short, with increased accuracy of thermal properties, design can then move away from generalized products to more efficient and predictable models. Accurate data will not only optimize geothermal design but reduce test and installation cost, which is helpful to market geothermal for residential and commercial buildings. Ultimately, the increased use of geothermal systems would result in less CO2 emissions and henceforth cleaner air.
{"title":"Study to Predict In-situ Thermal Properties of Subsurface Soils and Rock","authors":"Qianyu Shao, Muthu Arigovindan","doi":"10.1109/IESC47067.2019.8976784","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976784","url":null,"abstract":"In order to further expand the geothermal industry, it is important to evaluate and clarify design and installation methodologies constantly. The soaring prices of oil and electricity have pushed the market to develop more energy efficient systems. For instance, as per Department of Energy Ground Source Heat Pump has ability to reduce the energy consumption from 30% to 60% over its counterparts. In 2017, the geothermal heat pump market was valued at 70.61 billion USD, by the year 2024 it is predicted that the market value will reach 187.72 billion USD. Such rapid growth in the coming years demands more specific data and to move away from current generalized designs. Through the study of published work and virtual sources, it was observed that there was little comprehensive analysis regarding the specific heat of soil and rock. Using prior knowledge of USCS soil classification, our engineers intend to gather distinct specific heat values for identified samples. The collection of thermal properties of individual components such as; soil, grout, HDPE pipe, and distilled water, will aid in developing a theoretical thermal resistance model in accordance to a practical geothermal system underground pipe structure. Tests will be set up to investigate the relationship between soil properties such as moisture and specific heat. Once specific heat values Cp (J/(kg· K)) (BTU/ft· °F) are drawn, conclusions may be developed with regard to critical variables such as thermal conductivity (W /(m· K)/(BTU/(h ·ft·°F)), diffusivity (ft2/s), and specific heat resistivity «K/W)/(h. ft· °F /BTU)); which directly impact the geothermal thermal heat pump design. More accurate data will enhance the coefficient of performance. The research will serve to aid field work as a reliable resource for determination of soil specific heat values, as well as optimize the geothermal system heat exchange behavior as a whole. In short, with increased accuracy of thermal properties, design can then move away from generalized products to more efficient and predictable models. Accurate data will not only optimize geothermal design but reduce test and installation cost, which is helpful to market geothermal for residential and commercial buildings. Ultimately, the increased use of geothermal systems would result in less CO2 emissions and henceforth cleaner air.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129587371","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976710
A. Samiha, F. H. Sarker, Roza Naser Khan Chowdhury, A. Habib, Rummana Rahman
With the world moving towards modernized technologies, use of carbon fuels, such as Liquefied Petroleum Gas (LPG) is in reach within users; domestically and industrially. Even in some developing countries, such as countries within the South East Asian belt, natural gas is supplied at a fixed rate with unrestrained amount for usage. With that being said, this increases the probability of wastage; and hence from this kind of wastage of this invisible and odorless gas, comes the chance of accidents. LPG and natural gas is highly combustible and can burn even at some distance from the source of outflow. Most flame related mishaps occur due to the spillage of gas. The project in this paper aims to help LPG user by notifying on any unnoticed gas emission or leakage accident through alarming them as well as creating opportunities for them to take critical and immediate actions; so that the damages to loves and wealth can be avoided or minimized. The proposed gas leakage detection system will detect gas within a certain area using a MQ2 sensor and any moment a gas leakage due to a vital mistake or pipe crack is sensed, it will immediately turn on a ventilation system for the leaked gas to pass out. The system includes a GSM module, which makes the user or owner of the place observant by sending a text message on their phones. In addition to that, in order to maximize the range of the people notified, a buzzer and LCD module is employed so that the residents next door can also be made aware of this mishap.
{"title":"Ogrodut: GSM based Gas Leakage Detection and Ventilation System using Arduino and Servo Motor","authors":"A. Samiha, F. H. Sarker, Roza Naser Khan Chowdhury, A. Habib, Rummana Rahman","doi":"10.1109/IESC47067.2019.8976710","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976710","url":null,"abstract":"With the world moving towards modernized technologies, use of carbon fuels, such as Liquefied Petroleum Gas (LPG) is in reach within users; domestically and industrially. Even in some developing countries, such as countries within the South East Asian belt, natural gas is supplied at a fixed rate with unrestrained amount for usage. With that being said, this increases the probability of wastage; and hence from this kind of wastage of this invisible and odorless gas, comes the chance of accidents. LPG and natural gas is highly combustible and can burn even at some distance from the source of outflow. Most flame related mishaps occur due to the spillage of gas. The project in this paper aims to help LPG user by notifying on any unnoticed gas emission or leakage accident through alarming them as well as creating opportunities for them to take critical and immediate actions; so that the damages to loves and wealth can be avoided or minimized. The proposed gas leakage detection system will detect gas within a certain area using a MQ2 sensor and any moment a gas leakage due to a vital mistake or pipe crack is sensed, it will immediately turn on a ventilation system for the leaked gas to pass out. The system includes a GSM module, which makes the user or owner of the place observant by sending a text message on their phones. In addition to that, in order to maximize the range of the people notified, a buzzer and LCD module is employed so that the residents next door can also be made aware of this mishap.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132265458","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976871
U. Blieske, J. Müller-Ost, Kira Meisenzahl, Eva-Maria Grommes, R. Gecke, Niklas Schneble, Lionel Clasing, Marja Eisheuer, M. Volk
The work presented analyzes the current technology trends in solar cell research and photovoltaic (PV) industry. All presented trends like passivated emitter rear contact (PERC) Integrated back contact (IBC) and silicon heterojunction (SHJ) technology currently lead to higher solar module efficiencies in mass production with current values around 20% under standard testing conditions (STC). A promising trend is the current development of perovskite solar cells which, according to the study presented, will lead to solar modules with 30% conversion efficiency in mass production in about 10 years from now. The paper also analyzes additional trends in PV technology like bifacial modules or PV roof tiles. Latter products also need to be analyzed under oblique light conditions. Incidence angle modifier (IAM) measurements of several optically uncoupled solar glasses are presented.
{"title":"Current and future trends in photovoltaic technology","authors":"U. Blieske, J. Müller-Ost, Kira Meisenzahl, Eva-Maria Grommes, R. Gecke, Niklas Schneble, Lionel Clasing, Marja Eisheuer, M. Volk","doi":"10.1109/IESC47067.2019.8976871","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976871","url":null,"abstract":"The work presented analyzes the current technology trends in solar cell research and photovoltaic (PV) industry. All presented trends like passivated emitter rear contact (PERC) Integrated back contact (IBC) and silicon heterojunction (SHJ) technology currently lead to higher solar module efficiencies in mass production with current values around 20% under standard testing conditions (STC). A promising trend is the current development of perovskite solar cells which, according to the study presented, will lead to solar modules with 30% conversion efficiency in mass production in about 10 years from now. The paper also analyzes additional trends in PV technology like bifacial modules or PV roof tiles. Latter products also need to be analyzed under oblique light conditions. Incidence angle modifier (IAM) measurements of several optically uncoupled solar glasses are presented.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130853491","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976635
Zhengnan Hou, Shengxian Zhuang, Xiaoxiao Lv
Health monitoring of wind turbine (WT) has gained considerable attention, and the supervisory control and data acquisition (SCADA) data (such as power, temperature, and pressure, etc.) have been analyzed. However, many parameters in SCADA data are inertia parameters, which are easily affected by their inherent inertia. To solve this problem, a health monitoring method for WT based on multivariate immunity perception (MIP) is proposed in this paper. This method uses the immunity perception to obtain the health information of a single parameter and the analytic hierarchy process (AHP) to construct the immunity system. The weights of the immunity system are determined by fault statistics of a wind farm. The health condition of the subsystem/whole machine is quantified by combining the single parameter health information and immunity system. Two numerical examples are given to validate the method proposed in this paper.
{"title":"Monitoring and Analysis of Wind Turbine Condition based on Multivariate Immunity Perception","authors":"Zhengnan Hou, Shengxian Zhuang, Xiaoxiao Lv","doi":"10.1109/IESC47067.2019.8976635","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976635","url":null,"abstract":"Health monitoring of wind turbine (WT) has gained considerable attention, and the supervisory control and data acquisition (SCADA) data (such as power, temperature, and pressure, etc.) have been analyzed. However, many parameters in SCADA data are inertia parameters, which are easily affected by their inherent inertia. To solve this problem, a health monitoring method for WT based on multivariate immunity perception (MIP) is proposed in this paper. This method uses the immunity perception to obtain the health information of a single parameter and the analytic hierarchy process (AHP) to construct the immunity system. The weights of the immunity system are determined by fault statistics of a wind farm. The health condition of the subsystem/whole machine is quantified by combining the single parameter health information and immunity system. Two numerical examples are given to validate the method proposed in this paper.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131463148","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976704
C. Asbery, Y. Liao
Electric transmission systems are complex mesh networks that direct large amounts of energy from the point of generation to the point of consumption. Electric faults can cripple a system as power flows must be directed around the fault therefore leading to numerous potential issues such as overloading, customer service interruptions, or cascading failures. Therefore, identifying the classification and location of these faults as quickly and efficiently as possible is crucial. This work aims to utilize artificial neural networks to determine fault type and location based on measured voltages and currents. Eventually, once developed, this solution could be utilized for fault detection and classification on several transmission circuit topologies as well as with different fault types and resistances.
{"title":"Electric Transmission System Fault Identification Using Artificial Neural Networks","authors":"C. Asbery, Y. Liao","doi":"10.1109/IESC47067.2019.8976704","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976704","url":null,"abstract":"Electric transmission systems are complex mesh networks that direct large amounts of energy from the point of generation to the point of consumption. Electric faults can cripple a system as power flows must be directed around the fault therefore leading to numerous potential issues such as overloading, customer service interruptions, or cascading failures. Therefore, identifying the classification and location of these faults as quickly and efficiently as possible is crucial. This work aims to utilize artificial neural networks to determine fault type and location based on measured voltages and currents. Eventually, once developed, this solution could be utilized for fault detection and classification on several transmission circuit topologies as well as with different fault types and resistances.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131886073","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976606
Wen Fan, Y. Liao
Active distribution systems with high penetration of inverter based distributed generations such as solar generation have characteristics of varied fundamental frequency fault current contributions and lack of zero and negative sequence fault currents. Therefore, existing protection methods based on increase of short circuit currents due to faults may not work well. On the other hand, faults usually generate high frequency transients which are affected little by the output of solar generations. So, harnessing the fault generated high frequency transients may be a promising way to design new, effective protection scheme for inverter based generation dominated distribution systems. This paper presents a novel graph theory and traveling wave based method for protecting power distribution systems. Methods for accurate pinpointing of the fault through use of multiple and single recording of traveling waves are described. Different factors including sampling rates, number of recordings, system configurations, etc., which may affect the performance of the methods, are discussed. Evaluation studies based on simulation are reported.
{"title":"Traveling Wave Based Method for Protecting Power Distribution Systems with Distributed Generations","authors":"Wen Fan, Y. Liao","doi":"10.1109/IESC47067.2019.8976606","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976606","url":null,"abstract":"Active distribution systems with high penetration of inverter based distributed generations such as solar generation have characteristics of varied fundamental frequency fault current contributions and lack of zero and negative sequence fault currents. Therefore, existing protection methods based on increase of short circuit currents due to faults may not work well. On the other hand, faults usually generate high frequency transients which are affected little by the output of solar generations. So, harnessing the fault generated high frequency transients may be a promising way to design new, effective protection scheme for inverter based generation dominated distribution systems. This paper presents a novel graph theory and traveling wave based method for protecting power distribution systems. Methods for accurate pinpointing of the fault through use of multiple and single recording of traveling waves are described. Different factors including sampling rates, number of recordings, system configurations, etc., which may affect the performance of the methods, are discussed. Evaluation studies based on simulation are reported.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114785694","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976695
Eva-Maria Grommes, U. Blieske, Stefanie Könen-Sagui
In this study, the link between Photovoltaic (PV) installations on employment and education opportunities, in Senegal, is analysed. The Sustainable Livelihood Approach is used to understand the examined situation, holistically. Investments in PV have been shown to have an influence on the economic growth and the labour market. The effect of the solar park Senergy 2, for example, is estimated to have provided 1434 job opportunities per MW capacity. Access to a reliable, clean energy source, influences the education sector and has been shown to bring an indirect economic benefit, by access to knowledge for rural communities.
{"title":"Influence of Photovoltaic Installations on Employability and Education in Senegal","authors":"Eva-Maria Grommes, U. Blieske, Stefanie Könen-Sagui","doi":"10.1109/IESC47067.2019.8976695","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976695","url":null,"abstract":"In this study, the link between Photovoltaic (PV) installations on employment and education opportunities, in Senegal, is analysed. The Sustainable Livelihood Approach is used to understand the examined situation, holistically. Investments in PV have been shown to have an influence on the economic growth and the labour market. The effect of the solar park Senergy 2, for example, is estimated to have provided 1434 job opportunities per MW capacity. Access to a reliable, clean energy source, influences the education sector and has been shown to bring an indirect economic benefit, by access to knowledge for rural communities.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"69 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043416","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976566
F. D. Chaves, Maria Fernanda Díaz Velez, S. Orozco
this work presents a methodology for the implementation of a photovoltaic energy system in a micro-grid minimizing possible errors during the process. Our methodology allows the inclusion of clean energies at the university campus using the minimum amount of time. This work illustrates the advantages of implementing a photovoltaic systems in a microgrid, such as electricity bills reduction or reduction of pollutant emissions. The proposed methodology has allowed the inclusion of renewable energy in a satisfactory way, overcoming the challenges that currently arise in a developing country.
{"title":"Methodology for the implementation of photovoltaic energy in a microgrid","authors":"F. D. Chaves, Maria Fernanda Díaz Velez, S. Orozco","doi":"10.1109/IESC47067.2019.8976566","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976566","url":null,"abstract":"this work presents a methodology for the implementation of a photovoltaic energy system in a micro-grid minimizing possible errors during the process. Our methodology allows the inclusion of clean energies at the university campus using the minimum amount of time. This work illustrates the advantages of implementing a photovoltaic systems in a microgrid, such as electricity bills reduction or reduction of pollutant emissions. The proposed methodology has allowed the inclusion of renewable energy in a satisfactory way, overcoming the challenges that currently arise in a developing country.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129617909","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 : 2019-10-01DOI: 10.1109/IESC47067.2019.8976771
Carina E. Kaainoa, Sandra Jenkins
The electricity sector is going through an unprecedented change in structure. With the growth of distributed generation and prosumers (customers who both produce and consume power), typical assumptions for how load behaves are no longer suitable for transmission system owners and operators. This change drastically increases the value of high fidelity and timely operational data and load data for the energy sector and its partners. These data, if paired with proper analysis techniques, have the potential of lowering total energy consumption, reducing system costs, and improving reliability and resilience. The extraction of information via analytics, and the optimization of data to drive decision and control processes, is necessary to realize the potential benefits of raw data. This information could be useful to energy sector stakeholders who develop technologies and services for consumers and utilities.11TechNet, SunSpec Alliance, and DBL Partners. “Unlocking Grid Data”. December 2016. While sensors and observations from line workers generate data across the electricity system, there is variation in data-generating technology deployment across regions because each utility may have different priorities, and therefore have different needs for analytics. With proper collection strategies and tools, the data collected can be efficiently and effectively used for big data analysis. In addition, transparent and clearly articulated rules and regulations for data privacy and security can foster legal certainty and remove barriers for third parties seeking to use that data to provide innovative end use services.22U.S. Department of Energy (DOE). “Data Access and Privacy Issues Related to Smart Grid Technologies”. October 5, 2010. While there is infrastructure to generate and transmit data, the challenge is developing data practices for collection, sharing, and management to make efficient use of this data to: • Track changing system dynamics, such as those resulting from integration of renewables; • Share data that could improve emergency response; and • Inform investments that could improve resilience and emergency preparedness. This paper will discuss the following topics: (1) Importance of data development; (2) Progress in data sharing, protection, and standardization practices; and (3) Challenges and opportunities for improvement for utilities, the federal government, and third parties. This paper will conclude with areas of further research and development for energy data.
{"title":"Foundational Challenges and Opportunities with Turning Data into Information for Grid Modernization","authors":"Carina E. Kaainoa, Sandra Jenkins","doi":"10.1109/IESC47067.2019.8976771","DOIUrl":"https://doi.org/10.1109/IESC47067.2019.8976771","url":null,"abstract":"The electricity sector is going through an unprecedented change in structure. With the growth of distributed generation and prosumers (customers who both produce and consume power), typical assumptions for how load behaves are no longer suitable for transmission system owners and operators. This change drastically increases the value of high fidelity and timely operational data and load data for the energy sector and its partners. These data, if paired with proper analysis techniques, have the potential of lowering total energy consumption, reducing system costs, and improving reliability and resilience. The extraction of information via analytics, and the optimization of data to drive decision and control processes, is necessary to realize the potential benefits of raw data. This information could be useful to energy sector stakeholders who develop technologies and services for consumers and utilities.11TechNet, SunSpec Alliance, and DBL Partners. “Unlocking Grid Data”. December 2016. While sensors and observations from line workers generate data across the electricity system, there is variation in data-generating technology deployment across regions because each utility may have different priorities, and therefore have different needs for analytics. With proper collection strategies and tools, the data collected can be efficiently and effectively used for big data analysis. In addition, transparent and clearly articulated rules and regulations for data privacy and security can foster legal certainty and remove barriers for third parties seeking to use that data to provide innovative end use services.22U.S. Department of Energy (DOE). “Data Access and Privacy Issues Related to Smart Grid Technologies”. October 5, 2010. While there is infrastructure to generate and transmit data, the challenge is developing data practices for collection, sharing, and management to make efficient use of this data to: • Track changing system dynamics, such as those resulting from integration of renewables; • Share data that could improve emergency response; and • Inform investments that could improve resilience and emergency preparedness. This paper will discuss the following topics: (1) Importance of data development; (2) Progress in data sharing, protection, and standardization practices; and (3) Challenges and opportunities for improvement for utilities, the federal government, and third parties. This paper will conclude with areas of further research and development for energy data.","PeriodicalId":224190,"journal":{"name":"2019 International Energy and Sustainability Conference (IESC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114491267","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}