Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635700
B. Mohanty
This paper highlights the efforts made by an office building to minimize its dependence on fossil-fuel based electricity by allocating a fixed capital for the purpose. The primary intent was to install a grid-interactive solar power plant that would help offset the electricity imported from the power grid. Consultations were held with the building owners to propose an alternative which would allow them to achieve higher energy prosumption by prioritizing energy demand management over renewable energy investment. The logic presented to assist in the decision making in favor of this suggestion was based upon the following facts. First, a quick calculation showed that the office building did not have sufficient rooftop space for installing a solar power plant that could offset half of the purchased electricity. Next, many of the electrical appliances in the building were old and inefficient and it made perfect sense to replace the "low-hanging fruits"; the investment made on these retrofits would be recovered in a shorter time span as compared to the investment made on renewable energy generation. Finally, the capital remaining after the investment made on energy-efficiency retrofits would be used for installing a solar power plant that can be accommodated on the roof of the building. A full year of monitoring of the energy performance of the building after the adoption of the energy efficiency and solar power plant shows that thanks to sequencing of energy demand management followed by renewable energy generation, the building has been able to achieve a higher energy prosumption within the allocated budget. Moreover, the payback period on the investments would be faster than if all the capital was mobilized for renewable energy generation.
{"title":"Achieving Higher Prosumption by Sharing the Renewable Energy Investment with Energy Demand Management: the Case of an Office Building","authors":"B. Mohanty","doi":"10.23919/ICUE-GESD.2018.8635700","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635700","url":null,"abstract":"This paper highlights the efforts made by an office building to minimize its dependence on fossil-fuel based electricity by allocating a fixed capital for the purpose. The primary intent was to install a grid-interactive solar power plant that would help offset the electricity imported from the power grid. Consultations were held with the building owners to propose an alternative which would allow them to achieve higher energy prosumption by prioritizing energy demand management over renewable energy investment. The logic presented to assist in the decision making in favor of this suggestion was based upon the following facts. First, a quick calculation showed that the office building did not have sufficient rooftop space for installing a solar power plant that could offset half of the purchased electricity. Next, many of the electrical appliances in the building were old and inefficient and it made perfect sense to replace the \"low-hanging fruits\"; the investment made on these retrofits would be recovered in a shorter time span as compared to the investment made on renewable energy generation. Finally, the capital remaining after the investment made on energy-efficiency retrofits would be used for installing a solar power plant that can be accommodated on the roof of the building. A full year of monitoring of the energy performance of the building after the adoption of the energy efficiency and solar power plant shows that thanks to sequencing of energy demand management followed by renewable energy generation, the building has been able to achieve a higher energy prosumption within the allocated budget. Moreover, the payback period on the investments would be faster than if all the capital was mobilized for renewable energy generation.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79888653","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635646
Halim Lee, G. Byeon, Gyeonghun Kim, Jinwook Kim
The penetration of electric vehicle charging station will increase as the electric vehicle is a great issue of several industries. For a successive penetration, research is necessary for operating the charging station effectively. In this paper, photo voltaic device generation prediction, electric vehicle charging station usage prediction and peak demand reduce function is proposed for an electric vehicle charging station energy management system. The proposed energy management system will be installed in the demonstration site main control room of Gwang-ju metropolitan city hall at July 2018 and be tested.
{"title":"Electric Vehicle Charging Station Operation and Management Key Functions for Actual Demonstration Site","authors":"Halim Lee, G. Byeon, Gyeonghun Kim, Jinwook Kim","doi":"10.23919/ICUE-GESD.2018.8635646","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635646","url":null,"abstract":"The penetration of electric vehicle charging station will increase as the electric vehicle is a great issue of several industries. For a successive penetration, research is necessary for operating the charging station effectively. In this paper, photo voltaic device generation prediction, electric vehicle charging station usage prediction and peak demand reduce function is proposed for an electric vehicle charging station energy management system. The proposed energy management system will be installed in the demonstration site main control room of Gwang-ju metropolitan city hall at July 2018 and be tested.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"139 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86263735","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635651
Rafia Zaman, Christian Hofer, Thomas Brudermann
Anthropogenic climate change necessitates a transformation of the current fossil-based energy systems towards renewable energies. Despite large agreement on the huge costs of (climate) inaction, several developing countries currently see a massive uptake of carbon-intense coal-based power generation. This study aims to contextualize investment flows for coal projects, with a focus on the Global South. We applied a bipartite network analysis to investigate investment patterns between donor and recipient countries using a secondary database. The results indicate that China, Japan and South Korea are key players in the massive coal extension currently observed in several developing countries of Asia and Africa. While the analysis presented in this paper aids the problem identification and illustration, the lurking grey energy transition will require further research and policy attention.
{"title":"One Step Ahead, Two Steps Backwards: Energy Transitions and Coal in Developing Countries","authors":"Rafia Zaman, Christian Hofer, Thomas Brudermann","doi":"10.23919/ICUE-GESD.2018.8635651","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635651","url":null,"abstract":"Anthropogenic climate change necessitates a transformation of the current fossil-based energy systems towards renewable energies. Despite large agreement on the huge costs of (climate) inaction, several developing countries currently see a massive uptake of carbon-intense coal-based power generation. This study aims to contextualize investment flows for coal projects, with a focus on the Global South. We applied a bipartite network analysis to investigate investment patterns between donor and recipient countries using a secondary database. The results indicate that China, Japan and South Korea are key players in the massive coal extension currently observed in several developing countries of Asia and Africa. While the analysis presented in this paper aids the problem identification and illustration, the lurking grey energy transition will require further research and policy attention.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86033711","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635719
Johannex Fefeh Rushman, P. Maneechot, P. Thanarak, S. Somkun, Saowanee Manadee, Surachai Rattanasuk, A. Phuruangrat, Preecha Sriprapakhan, B. Prasit, S. Artkla
This research aimed at establishing species of active potassium onto 3D-framework of Zeolite NaX that was prepared with a molar ratio of 1Al2O3:1.65K2O:2.2SiO2: 5.5 Na2O:122H2O by hydrothermal synthesis. The potassium acetate/acetic acid buffer solution impregnated catalysts produced the desired K loadings of xKa/NaXs (x values were 9, 10, 11 and 12 wt%). Characterization of catalysts were carried out with FTIR, N2 adsorption-desorption, XRD and CO2-TPD to analyse the respective parameters of the reagents (catalysts) and the product. The 3D-framework of NaX was not destroyed but the surface area and the volume of its micropore were found to have slightly decreased when number of loadings of K was increased. All prepared xKa/NaXs were used to conduct transesterification of Jatropha Curcas Lineaus (JCL) seed oil and methanol at the molar ratio of 1:16. 12K/NaX emerged as the best catalyst which produced 78.39 wt% yield of biodiesel and found to be the highest yield at a reaction time of 3.5 hours. The basicity increased with K loadings and facilitated a better catalytic performance for biodiesel synthesis from this source.
{"title":"Transesterification of Jatropha Seed Oil Naturally Extracted by Distilled Water on Highly Stabilized Structure of Zeolite NaX Impregnated with Potassium Buffer Solution","authors":"Johannex Fefeh Rushman, P. Maneechot, P. Thanarak, S. Somkun, Saowanee Manadee, Surachai Rattanasuk, A. Phuruangrat, Preecha Sriprapakhan, B. Prasit, S. Artkla","doi":"10.23919/ICUE-GESD.2018.8635719","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635719","url":null,"abstract":"This research aimed at establishing species of active potassium onto 3D-framework of Zeolite NaX that was prepared with a molar ratio of 1Al2O3:1.65K2O:2.2SiO2: 5.5 Na2O:122H2O by hydrothermal synthesis. The potassium acetate/acetic acid buffer solution impregnated catalysts produced the desired K loadings of xKa/NaXs (x values were 9, 10, 11 and 12 wt%). Characterization of catalysts were carried out with FTIR, N2 adsorption-desorption, XRD and CO2-TPD to analyse the respective parameters of the reagents (catalysts) and the product. The 3D-framework of NaX was not destroyed but the surface area and the volume of its micropore were found to have slightly decreased when number of loadings of K was increased. All prepared xKa/NaXs were used to conduct transesterification of Jatropha Curcas Lineaus (JCL) seed oil and methanol at the molar ratio of 1:16. 12K/NaX emerged as the best catalyst which produced 78.39 wt% yield of biodiesel and found to be the highest yield at a reaction time of 3.5 hours. The basicity increased with K loadings and facilitated a better catalytic performance for biodiesel synthesis from this source.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"21 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81705158","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635745
Kishan Bhushan Sahay, P. Anand, Vishal Yadav
For a generation like ours where pollution a also a major matter of concern along with the depletion of the fossil fuel, we need to find different methods of energy generation where the pollution is at its minimum and the power generated is sufficient enough to fulfill the crisis. The modeling model as well as simulation of a 1 MW solar power plant based on PV when connected to a grid is done on MATLAB simulink R2014a. If the extraction of energy coming from the sun is done in proper ways, then we can cope with the growing demands of the electricity without harming the environment. The development of PV array model with their integration and the implementation of simulink are described in this paper. IGBT, Inverter, solar array and transformer are some of the components used in this system. Power plant performance is also shown with the help of a graph.
{"title":"Modeling and Simulation of Grid Connected 1 MW Solar PV Power Plant","authors":"Kishan Bhushan Sahay, P. Anand, Vishal Yadav","doi":"10.23919/ICUE-GESD.2018.8635745","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635745","url":null,"abstract":"For a generation like ours where pollution a also a major matter of concern along with the depletion of the fossil fuel, we need to find different methods of energy generation where the pollution is at its minimum and the power generated is sufficient enough to fulfill the crisis. The modeling model as well as simulation of a 1 MW solar power plant based on PV when connected to a grid is done on MATLAB simulink R2014a. If the extraction of energy coming from the sun is done in proper ways, then we can cope with the growing demands of the electricity without harming the environment. The development of PV array model with their integration and the implementation of simulink are described in this paper. IGBT, Inverter, solar array and transformer are some of the components used in this system. Power plant performance is also shown with the help of a graph.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"73 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85165041","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635704
Pornchai Chaweewat, J. Singh, W. Ongsakul
Data and information become valuable possession in digital era where we are surrounded with big data. Data mining is supposed to be major and first process to tackle with big data. This study investigates featured features of Time-of-Use (TOU) based electricity customers using Gaussian mixture process. K-means clustering clusters TOU based electricity customer into various groups i.e., majority and minority consumption profile. Then, confidential interval (CI) corresponding with forecasted α-level confidential is formulated for each customer’s major load profile. The input data is collected from 1,000 PEA’s TOU customers during January to December 2016. Then, all individual consumption patterns of both working and nonworking day are grouping into 12 groups to be represented overall pattern of the sample of 1,000 TOU’s PEA customers. The outcome of this study shows that feature extraction with data clustering processes using could help to extract intrinsic features and formulate consumption patterns of metadata of TOU customers.
{"title":"A Two Stages Pattern Recognition for Time-of-use Customers based on Behavior Analytic by Using Gaussian Mixture Models and K-mean Clustering: a Case Study of PEA, Thailand","authors":"Pornchai Chaweewat, J. Singh, W. Ongsakul","doi":"10.23919/ICUE-GESD.2018.8635704","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635704","url":null,"abstract":"Data and information become valuable possession in digital era where we are surrounded with big data. Data mining is supposed to be major and first process to tackle with big data. This study investigates featured features of Time-of-Use (TOU) based electricity customers using Gaussian mixture process. K-means clustering clusters TOU based electricity customer into various groups i.e., majority and minority consumption profile. Then, confidential interval (CI) corresponding with forecasted α-level confidential is formulated for each customer’s major load profile. The input data is collected from 1,000 PEA’s TOU customers during January to December 2016. Then, all individual consumption patterns of both working and nonworking day are grouping into 12 groups to be represented overall pattern of the sample of 1,000 TOU’s PEA customers. The outcome of this study shows that feature extraction with data clustering processes using could help to extract intrinsic features and formulate consumption patterns of metadata of TOU customers.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"48 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87958393","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635679
M. Pipattanasomporn, M. Kuzlu, S. Rahman
Over the last decade, the increasing uptake of rooftop solar photovoltaics (PV) at the grid edge transforms residential houses into complex energy "prosumers". A house with rooftop solar PV can both consume and export electricity. Hence, it can participate in a "Transactive Energy" network involving peer-to-peer (P2P) exchange of excess electricity. The challenge is to keep track of these transactions and compensate buyers and sellers accordingly. Recently, blockchain has emerged as a distributed ledger technology which allows exchanges among participants without the need for a central market entity. There are several blockchain pilots in the energy sector, which focus on the business, legal and financial aspects, but without much details about how to implement a blockchain-based P2P trading platform. This paper addresses this issue by presenting laboratory-scale implementation of a blockchain network for exchange of solar electricity among participants using Hyperledger – an open-source collaborative effort. Participants, assets and transactions necessary to establish the blockchain-based network for keeping track of solar PV output exchanges are described, together with the smart contract, use cases and their implementation.
{"title":"A Blockchain-based Platform for Exchange of Solar Energy: Laboratory-scale Implementation","authors":"M. Pipattanasomporn, M. Kuzlu, S. Rahman","doi":"10.23919/ICUE-GESD.2018.8635679","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635679","url":null,"abstract":"Over the last decade, the increasing uptake of rooftop solar photovoltaics (PV) at the grid edge transforms residential houses into complex energy \"prosumers\". A house with rooftop solar PV can both consume and export electricity. Hence, it can participate in a \"Transactive Energy\" network involving peer-to-peer (P2P) exchange of excess electricity. The challenge is to keep track of these transactions and compensate buyers and sellers accordingly. Recently, blockchain has emerged as a distributed ledger technology which allows exchanges among participants without the need for a central market entity. There are several blockchain pilots in the energy sector, which focus on the business, legal and financial aspects, but without much details about how to implement a blockchain-based P2P trading platform. This paper addresses this issue by presenting laboratory-scale implementation of a blockchain network for exchange of solar electricity among participants using Hyperledger – an open-source collaborative effort. Participants, assets and transactions necessary to establish the blockchain-based network for keeping track of solar PV output exchanges are described, together with the smart contract, use cases and their implementation.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"181 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77719198","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635660
V. Messerle, A. Ustimenko
The results of thermodynamic and experimental investigation of plasma processing of uranium-containing Nizhneilli brown coal (NBC) and Estonian dictyonema shale (EDS) are presented. The essence of plasma processing of the uranium-containing solid fuels (SF) is in the conversion of the organic mass of SF into synthesis gas, with the simultaneous release of uranium-containing compounds into the gas phase, followed by the production of uranium-free ash. Thermodynamic analysis showed that the gaseous phase of the SF plasma steam gasification products consists, basically, of synthesis gas with a concentration of up to 95.2 vol.% at 1,800 K. At this temperature, uranium-containing compounds completely pass into the gas phase in the form of uranium oxides. Experiments on plasma steam gasification of EDS were performed in entrained-flow plasma reactor. The results of the research testify to the insensitivity of the plasma processing technology to the quality of the SF used.
{"title":"Greening Uranium-Containing Solid Fuels","authors":"V. Messerle, A. Ustimenko","doi":"10.23919/ICUE-GESD.2018.8635660","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635660","url":null,"abstract":"The results of thermodynamic and experimental investigation of plasma processing of uranium-containing Nizhneilli brown coal (NBC) and Estonian dictyonema shale (EDS) are presented. The essence of plasma processing of the uranium-containing solid fuels (SF) is in the conversion of the organic mass of SF into synthesis gas, with the simultaneous release of uranium-containing compounds into the gas phase, followed by the production of uranium-free ash. Thermodynamic analysis showed that the gaseous phase of the SF plasma steam gasification products consists, basically, of synthesis gas with a concentration of up to 95.2 vol.% at 1,800 K. At this temperature, uranium-containing compounds completely pass into the gas phase in the form of uranium oxides. Experiments on plasma steam gasification of EDS were performed in entrained-flow plasma reactor. The results of the research testify to the insensitivity of the plasma processing technology to the quality of the SF used.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"31 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81586865","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635697
Md. Ariful Islam, I. Jahan, Md. Jakaria Rahimi, J. Singh
Smart Grid is a new standard or digital technology which allows both way of communication between utility and customers. Smart grid is also a framework of new equipment, technologies, automatic operations and controls which is very similar to the internet, however in this regard for rapidly changing loads the grid will be digitally reactive by combining these technologies. For digitalization of smart grid, a faster, and wireless but reliable communication is necessary. On that account LTE could be a better option. Long-Term Evolution (LTE) is a new grade for faster and seamless communication for smart devices and data terminals. In this regard, different scheduling tackles are very helpful. This paper discusses about two very common scheduling algorithms and those are Best Channel Quality Indicator (Best CQI) and Proportional Fair (PF). From simulation it is possible to find out their throughput and BLER (Block Error Rate) by using Transmit Diversity (TxD) and Open Loop Spatial Multiplexing (OLSM). Each time cross relation can be carried out for better comparison experiments.
{"title":"Performance Analysis of LTE in Rich Multipath and rural Environments for Wireless Communication in Smart Grid","authors":"Md. Ariful Islam, I. Jahan, Md. Jakaria Rahimi, J. Singh","doi":"10.23919/ICUE-GESD.2018.8635697","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635697","url":null,"abstract":"Smart Grid is a new standard or digital technology which allows both way of communication between utility and customers. Smart grid is also a framework of new equipment, technologies, automatic operations and controls which is very similar to the internet, however in this regard for rapidly changing loads the grid will be digitally reactive by combining these technologies. For digitalization of smart grid, a faster, and wireless but reliable communication is necessary. On that account LTE could be a better option. Long-Term Evolution (LTE) is a new grade for faster and seamless communication for smart devices and data terminals. In this regard, different scheduling tackles are very helpful. This paper discusses about two very common scheduling algorithms and those are Best Channel Quality Indicator (Best CQI) and Proportional Fair (PF). From simulation it is possible to find out their throughput and BLER (Block Error Rate) by using Transmit Diversity (TxD) and Open Loop Spatial Multiplexing (OLSM). Each time cross relation can be carried out for better comparison experiments.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"18 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89502030","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 : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635589
Takahiro Nagata, Yosuke Arino, Y. Nakano, Keigo Akimoto
The diffusion of renewable energy such as solar photovoltaics (PV) is effective for global warming countermeasures. When focusing on residential PV, however, it is thought that PV installation is difficult for households without a sufficient income, as PV is still expensive. In addition, Feed-in Tariff (FIT) requires the surcharge of electricity consumers. Its burden is larger for a lower-income class than for a high-income class because the ratio of energy cost among the total expenditures is higher, and it is recognized as a problem from the viewpoint of "Equity". In this study, we conducted quantitative analyses of influences of FIT on households by income class and evaluated its equity, based on the actual data regarding a proportion of PV installation, surplus electricity purchase price for PV, surcharge cost, etc. under FIT in Japan. As a result, we find that the ratio of electricity cost among the total consumption expenditure (E/C) increases due to FIT for all income classes, but this impact is greater for low-income class. The index of E/C increasing point due to FIT for low-income class is three times more than that for high-income class. The difference by the income hierarchy becomes bigger due to FIT introduction.
{"title":"Assessment of Equity of Feed-in Tariff in Japan","authors":"Takahiro Nagata, Yosuke Arino, Y. Nakano, Keigo Akimoto","doi":"10.23919/ICUE-GESD.2018.8635589","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635589","url":null,"abstract":"The diffusion of renewable energy such as solar photovoltaics (PV) is effective for global warming countermeasures. When focusing on residential PV, however, it is thought that PV installation is difficult for households without a sufficient income, as PV is still expensive. In addition, Feed-in Tariff (FIT) requires the surcharge of electricity consumers. Its burden is larger for a lower-income class than for a high-income class because the ratio of energy cost among the total expenditures is higher, and it is recognized as a problem from the viewpoint of \"Equity\". In this study, we conducted quantitative analyses of influences of FIT on households by income class and evaluated its equity, based on the actual data regarding a proportion of PV installation, surplus electricity purchase price for PV, surcharge cost, etc. under FIT in Japan. As a result, we find that the ratio of electricity cost among the total consumption expenditure (E/C) increases due to FIT for all income classes, but this impact is greater for low-income class. The index of E/C increasing point due to FIT for low-income class is three times more than that for high-income class. The difference by the income hierarchy becomes bigger due to FIT introduction.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"28 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80359187","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：