Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635677
Rajendra Adhikari
The main challenge of developed countries is to maintain their economic expansion, which is mainly based on the energy from fossil fuels, with significant greenhouse gas emissions. Likewise, the least developed countries have high risks of climate-change induced disasters, as they can neither set the policy for mitigation nor invest much amount money on clean technologies because of their fragile nature of socio- economic-environmental conditions and weak political guidelines. It is thus essential to provide sufficient financial and technical supports to move toward clean energy path by developed countries through World Bank, UNDP, International Monetary Fund, Asian Development Bank etc. This work systematically reviews the emerging concepts of low carbon economy and society, and the transition towards a sustainable economy, with particular focus on developing countries. By analyzing poverty, clean energy technologies and job opportunities, income distribution and carbon pricing, economic aspects of carbon emission, restoration of lost biodiversity; the present and future trends, new perspectives have been presented on each of the above topics.
{"title":"Low Carbon Economy and Society","authors":"Rajendra Adhikari","doi":"10.23919/ICUE-GESD.2018.8635677","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635677","url":null,"abstract":"The main challenge of developed countries is to maintain their economic expansion, which is mainly based on the energy from fossil fuels, with significant greenhouse gas emissions. Likewise, the least developed countries have high risks of climate-change induced disasters, as they can neither set the policy for mitigation nor invest much amount money on clean technologies because of their fragile nature of socio- economic-environmental conditions and weak political guidelines. It is thus essential to provide sufficient financial and technical supports to move toward clean energy path by developed countries through World Bank, UNDP, International Monetary Fund, Asian Development Bank etc. This work systematically reviews the emerging concepts of low carbon economy and society, and the transition towards a sustainable economy, with particular focus on developing countries. By analyzing poverty, clean energy technologies and job opportunities, income distribution and carbon pricing, economic aspects of carbon emission, restoration of lost biodiversity; the present and future trends, new perspectives have been presented on each of the above topics.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"11 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":"78290461","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.2018.8635734
T. Jamal, T. Urmee, G. Shafiullah, Farhad Shahnia
Electrification of remote areas with the help of standalone power supply systems, also known as islanded microgrids, is a complex and multi-dimensional problem. This problem needs to address and consider diverse factors such as economic, technical, environmental, social and political. This study has used an analytical hierarchy process-based multi-criteria decision-making approach to obtain a more robust and universally convincing plan for remote area microgrids. To this end, a survey has been conducted from worldwide academics, industry experts and consultants. The study reveals that the economic criterion is the most important factor versus other factors.
{"title":"Using Experts’ Opinions and Multi-Criteria Decision Analysis to Determine the Weighing of Criteria Employed in Planning Remote Area Microgrids","authors":"T. Jamal, T. Urmee, G. Shafiullah, Farhad Shahnia","doi":"10.23919/ICUE-GESD.2018.8635734","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635734","url":null,"abstract":"Electrification of remote areas with the help of standalone power supply systems, also known as islanded microgrids, is a complex and multi-dimensional problem. This problem needs to address and consider diverse factors such as economic, technical, environmental, social and political. This study has used an analytical hierarchy process-based multi-criteria decision-making approach to obtain a more robust and universally convincing plan for remote area microgrids. To this end, a survey has been conducted from worldwide academics, industry experts and consultants. The study reveals that the economic criterion is the most important factor versus other factors.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"14 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75179698","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.2018.8635705
Annischa Sritoklin, Wiwatthana Malee, Atikom Prugsanantanatorn, T. Sapaklom, Piyasawat Navaratana Na Ayudhya, E. Mujjalinvimut, J. Kunthong
The need for green and sustainable energy source is greater than ever and solar cell is undoubtedly one energy source that gains more popularity as the technology become less expensive and more accessible by anyone.In this paper, we are presenting an active 2-axis solar tracker system combine with the Internet of Things (IoT) technology for an affordable, easy to construct, small foot-print, low maintenance, intelligent and the system able to generate as much as 30% more power than traditional static installation commonly available today.The active 2-axis solar tracker system design is to be simple to construct, require little and cost effective so every house hold in a community can effort and able to take advantage of an open-source technology available. The system consists of sensors, micro controller the ESP8266, cloud server, Node-RED software, grid-tie inverter, and solar panels. There are no specialize components in the system, so every component is locally available, low cost and easy to replace.The result of the system is presented and it reveal that the system performed as expected as it able to provide energy up to 30% more than static installation while require extremely small foot print 1 m2 for 1.2kw system and 4 m2 for a 6kw system, and little maintenance. The tracker is able to withstand high wind thanks to Node-Red smart algorithm and ESP8266 IoT enable microcontroller working hand in hand to quickly move the solar panel to flat position in the event of high wind conditions.Since this is an open-source research project, the system has potential to be applied to many other communities around the country and perhaps around the world. As the system will not only save the house’s owner money, but also reduce the electricity grid’s load. Most importantly, this project is enabling people in community to do his or her part as responsible citizens in helping to promote awareness for alternative green and sustainable energy in their community
{"title":"A Low Cost, Open-source IoT based 2-axis Active Solar Tracker for Smart Communities","authors":"Annischa Sritoklin, Wiwatthana Malee, Atikom Prugsanantanatorn, T. Sapaklom, Piyasawat Navaratana Na Ayudhya, E. Mujjalinvimut, J. Kunthong","doi":"10.23919/ICUE-GESD.2018.8635705","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635705","url":null,"abstract":"The need for green and sustainable energy source is greater than ever and solar cell is undoubtedly one energy source that gains more popularity as the technology become less expensive and more accessible by anyone.In this paper, we are presenting an active 2-axis solar tracker system combine with the Internet of Things (IoT) technology for an affordable, easy to construct, small foot-print, low maintenance, intelligent and the system able to generate as much as 30% more power than traditional static installation commonly available today.The active 2-axis solar tracker system design is to be simple to construct, require little and cost effective so every house hold in a community can effort and able to take advantage of an open-source technology available. The system consists of sensors, micro controller the ESP8266, cloud server, Node-RED software, grid-tie inverter, and solar panels. There are no specialize components in the system, so every component is locally available, low cost and easy to replace.The result of the system is presented and it reveal that the system performed as expected as it able to provide energy up to 30% more than static installation while require extremely small foot print 1 m2 for 1.2kw system and 4 m2 for a 6kw system, and little maintenance. The tracker is able to withstand high wind thanks to Node-Red smart algorithm and ESP8266 IoT enable microcontroller working hand in hand to quickly move the solar panel to flat position in the event of high wind conditions.Since this is an open-source research project, the system has potential to be applied to many other communities around the country and perhaps around the world. As the system will not only save the house’s owner money, but also reduce the electricity grid’s load. Most importantly, this project is enabling people in community to do his or her part as responsible citizens in helping to promote awareness for alternative green and sustainable energy in their community","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"122 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73827237","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.2018.8635728
Arpha Armatmontree, W. San-Um, Chadaporn Keatmanee
This paper proposes a three-dimensional model of the hammer mill for high-efficacy recycle process. It has been established with modeling software (SolidWorks) to solve the inconvenience of the testing with a real machine by imported into Simulink. According to various types of wastes creating in huge amounts by every consumption around the word, an effective hammer mill machine is strongly required. The machine should be able to mill all types of wastes including soft (food waste) and hard materials (construction and demolition waste). The significant factors of the modeling of a hammer mill machine are relied on its blades. Therefore, we introduce the calculation of force applying to the blades, as well as, the evaluation of materials are used for making the blades (Stainless steel and Titanium). The evaluation of the force according to the blade materials are conducted by the simulation of the hammer mill model used for corn and brisk. The experimental results show that the proposed force applying to the blades made of Titanium are able to mill both of corn and brisk more efficiently than stainless steel blades do considering to the following parameters: normal stress, static stain, static displacement, and factor of safety (FOS).
{"title":"Design and Analysis of a Hammer Mill Machine in High-Efficacy Recycle Process","authors":"Arpha Armatmontree, W. San-Um, Chadaporn Keatmanee","doi":"10.23919/ICUE-GESD.2018.8635728","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635728","url":null,"abstract":"This paper proposes a three-dimensional model of the hammer mill for high-efficacy recycle process. It has been established with modeling software (SolidWorks) to solve the inconvenience of the testing with a real machine by imported into Simulink. According to various types of wastes creating in huge amounts by every consumption around the word, an effective hammer mill machine is strongly required. The machine should be able to mill all types of wastes including soft (food waste) and hard materials (construction and demolition waste). The significant factors of the modeling of a hammer mill machine are relied on its blades. Therefore, we introduce the calculation of force applying to the blades, as well as, the evaluation of materials are used for making the blades (Stainless steel and Titanium). The evaluation of the force according to the blade materials are conducted by the simulation of the hammer mill model used for corn and brisk. The experimental results show that the proposed force applying to the blades made of Titanium are able to mill both of corn and brisk more efficiently than stainless steel blades do considering to the following parameters: normal stress, static stain, static displacement, and factor of safety (FOS).","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"69 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":"74068817","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.2018.8635596
Ayushi Yadav, A. Sahay, M. Yadav, Somiya Bhandari, Abha Yadav, Kishan Bhushan Sahay
For decision making in context of newly formed electricity price market the most essential parameter is price forecasting of electricity. Without price forecasting it is very hectic for producers and consumers to figure out or plan their operation and management of price in today’s competitive market. Short term price forecasting is a tool to consumer and power producer for accurate bidding techniques to enhance their net profit. In this research paper artificial intelligence (AI) is being used for forecasting. Another simulated neural system (SNS) has been utilized to register the estimated cost in Ontario power market utilizing MATLAB R14a.
{"title":"One hour Ahead Short-Term Electricity Price Forecasting Using ANN Algorithms","authors":"Ayushi Yadav, A. Sahay, M. Yadav, Somiya Bhandari, Abha Yadav, Kishan Bhushan Sahay","doi":"10.23919/ICUE-GESD.2018.8635596","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635596","url":null,"abstract":"For decision making in context of newly formed electricity price market the most essential parameter is price forecasting of electricity. Without price forecasting it is very hectic for producers and consumers to figure out or plan their operation and management of price in today’s competitive market. Short term price forecasting is a tool to consumer and power producer for accurate bidding techniques to enhance their net profit. In this research paper artificial intelligence (AI) is being used for forecasting. Another simulated neural system (SNS) has been utilized to register the estimated cost in Ontario power market utilizing MATLAB R14a.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"5 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74551626","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.2018.8635595
Dimas Ardiyanto, M. Pipattanasomporn, S. Rahman, N. Hariyanto, Suwarno
Energy savings and occupant thermal comfort are the two most important factors in controlling heating ventilation and air conditioning (HVAC) operation in buildings. Typically, it is found that thermal comfort is not always met in buildings. Hence, there is still an opportunity to improve indoor thermal comfort, and at the same time save energy by controlling HVAC set points. The objective of this paper is to propose a method to obtain energy savings by adjusting HVAC set points based on occupant comfort measured using Predicted Mean Vote (PMV) and occupancy information. The idea is to calculate hourly PMV values based on real-time occupancy information, indoor temperature set points and humidity in a building. Then, a new set of temperature set points that can maintain occupant comfort, i.e., PMV = 0, is derived. To evaluate the effectiveness of the proposed method, a building model is developed in eQUEST using the information from a real-world building located in Alexandria, VA. Research findings indicate that HVAC electrical consumption savings of 14.58% is achieved when the proposed set point adjustment method is implemented as compared to that of the base case. To study the impact of adding occupancy information on HVAC energy savings, another scenario is simulated where HVAC set point is increased when the building is unoccupied, e.g., during lunchtime or holidays. Research findings indicate that additional HVAC electrical consumption savings of 8.79% is achieved when taking into account occupancy information in HVAC control.
{"title":"Occupant-based HVAC Set Point Interventions for Energy Savings in Buildings","authors":"Dimas Ardiyanto, M. Pipattanasomporn, S. Rahman, N. Hariyanto, Suwarno","doi":"10.23919/ICUE-GESD.2018.8635595","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635595","url":null,"abstract":"Energy savings and occupant thermal comfort are the two most important factors in controlling heating ventilation and air conditioning (HVAC) operation in buildings. Typically, it is found that thermal comfort is not always met in buildings. Hence, there is still an opportunity to improve indoor thermal comfort, and at the same time save energy by controlling HVAC set points. The objective of this paper is to propose a method to obtain energy savings by adjusting HVAC set points based on occupant comfort measured using Predicted Mean Vote (PMV) and occupancy information. The idea is to calculate hourly PMV values based on real-time occupancy information, indoor temperature set points and humidity in a building. Then, a new set of temperature set points that can maintain occupant comfort, i.e., PMV = 0, is derived. To evaluate the effectiveness of the proposed method, a building model is developed in eQUEST using the information from a real-world building located in Alexandria, VA. Research findings indicate that HVAC electrical consumption savings of 14.58% is achieved when the proposed set point adjustment method is implemented as compared to that of the base case. To study the impact of adding occupancy information on HVAC energy savings, another scenario is simulated where HVAC set point is increased when the building is unoccupied, e.g., during lunchtime or holidays. Research findings indicate that additional HVAC electrical consumption savings of 8.79% is achieved when taking into account occupancy information in HVAC control.","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":"74850129","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.2018.8635776
D. Bora
The production of biodiesel was attempted using seed oil of niger (Guizotia abyssinica) and bioethanol reactant was attempted. The bioethanol reactant was obtained from vegetative sources viz. water hyacinth. The biodiesel after separation from the glycerol was tested for important properties and compared with ASTM standard as well as with those of conventional diesel (HSD). Almost all the properties of biodiesel were within the range of ASTM standard and also were nearer to the properties of conventional diesel. The engine testing was undertaken using different blends of biodiesel and diesel. Out of these blends, B20 i.e. 20% biodiesel was found to be most suitable from the viewpoints of higher brake thermal efficiency, lower brake specific fuel consumption and lower emission of UBHC. Present study also validates the viability and feasibility of a biorefinery for large scale production of bioethanol employing water hyacinth as feedstock.
{"title":"Production and Utilization of Biodiesel Using Bio-Alcohol as Reactant","authors":"D. Bora","doi":"10.23919/ICUE-GESD.2018.8635776","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635776","url":null,"abstract":"The production of biodiesel was attempted using seed oil of niger (Guizotia abyssinica) and bioethanol reactant was attempted. The bioethanol reactant was obtained from vegetative sources viz. water hyacinth. The biodiesel after separation from the glycerol was tested for important properties and compared with ASTM standard as well as with those of conventional diesel (HSD). Almost all the properties of biodiesel were within the range of ASTM standard and also were nearer to the properties of conventional diesel. The engine testing was undertaken using different blends of biodiesel and diesel. Out of these blends, B20 i.e. 20% biodiesel was found to be most suitable from the viewpoints of higher brake thermal efficiency, lower brake specific fuel consumption and lower emission of UBHC. Present study also validates the viability and feasibility of a biorefinery for large scale production of bioethanol employing water hyacinth as feedstock.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"11 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":"74281665","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.2018.8635650
V. Menon, V. S. Sajith Variyar, K. Soman, E. Gopalakrishnan, S. K. Kottayil, Md Shoaib Almas, L. Nordström
The SCADA based monitoring systems, having a very low sampling of one reading per 2-4 seconds is known to produce roughly 4.3 Tera Bytes (TiBs) of data annually. With synchrophasor technology, this will go up at least 100 times more as the rate of streaming is as high as 50/100 (60/120) Hz. Phasor data concentrators (PDCs) transmit byte streams encapsulating a comprehensive list of power system parameter including multiple phasor measurements, instantaneous frequency estimates, rate of change of frequency and several analog and digital quantities; this high volume and velocity of data makes it truly ‘Big Data’. This helps in making the power grid a lot more observable, enabling real-time monitoring of crucial grid events such as voltage stability, grid stress and transient oscillations. Synchrophasor technology uses the IEEE C37.118.2-2011™ Phasor Measurement Unit (PMU) / PDC communication protocol for data exchange which has no direct interface with any contemporary big data stream APIs or protocols. In this paper we propose a streaming interface in Apache Spark™, a popular big data platform, using Scala programming language, implementing a complete IEEE C37.118.2-2011™ client inside a stream receiver so that we can effortlessly receive synchrophasor data directly to Spark™ applications for real-time processing and archiving.
{"title":"A Spark™ Based Client for Synchrophasor Data Stream Processing","authors":"V. Menon, V. S. Sajith Variyar, K. Soman, E. Gopalakrishnan, S. K. Kottayil, Md Shoaib Almas, L. Nordström","doi":"10.23919/ICUE-GESD.2018.8635650","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635650","url":null,"abstract":"The SCADA based monitoring systems, having a very low sampling of one reading per 2-4 seconds is known to produce roughly 4.3 Tera Bytes (TiBs) of data annually. With synchrophasor technology, this will go up at least 100 times more as the rate of streaming is as high as 50/100 (60/120) Hz. Phasor data concentrators (PDCs) transmit byte streams encapsulating a comprehensive list of power system parameter including multiple phasor measurements, instantaneous frequency estimates, rate of change of frequency and several analog and digital quantities; this high volume and velocity of data makes it truly ‘Big Data’. This helps in making the power grid a lot more observable, enabling real-time monitoring of crucial grid events such as voltage stability, grid stress and transient oscillations. Synchrophasor technology uses the IEEE C37.118.2-2011™ Phasor Measurement Unit (PMU) / PDC communication protocol for data exchange which has no direct interface with any contemporary big data stream APIs or protocols. In this paper we propose a streaming interface in Apache Spark™, a popular big data platform, using Scala programming language, implementing a complete IEEE C37.118.2-2011™ client inside a stream receiver so that we can effortlessly receive synchrophasor data directly to Spark™ applications for real-time processing and archiving.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"42 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":"85805277","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.2018.8635772
Stanislav Hes, J. Kula, J. Svec
The paper describes proposed, implemented, tested and verified technical solutions supporting distributed energy resources (DER) and electrical vehicles (EV) integration in the distribution grids. The solutions are implemented by CEZ Distribuce, the largest Distribution System Operator (DSO) in the Czech Republic, in terms of Horizon 2020 InterFlex project. New approaches for PV inverters control are introduced in a way that DER integration is less limited by voltage constraints or other grid issues. Different approaches for LV and MV grids are explained. Smart solutions including autonomous functions of PV inverters, remote control or energy storage are presented to show the future potential for successful DER grid integration. Further an idea how to control EV charging power is introduced to integrate EVs smoothly.
本文介绍了在配电网中支持分布式能源和电动汽车集成的技术方案的提出、实施、测试和验证。这些解决方案由捷克共和国最大的配电系统运营商(DSO) CEZ Distribution在Horizon 2020 InterFlex项目中实施。光伏逆变器控制的新方法以一种更少受电压约束或其他电网问题限制的方式引入。解释了低压和中压电网的不同方法。智能解决方案，包括自主功能的光伏逆变器，远程控制或能源存储，展示了未来成功的分布式电网整合的潜力。在此基础上，提出了如何控制电动汽车充电功率的思路，以实现电动汽车的顺利集成。
{"title":"Increasing of Renewables Hosting Capacity in the Czech Republic in terms of European Project InterFlex (Case Study)","authors":"Stanislav Hes, J. Kula, J. Svec","doi":"10.23919/icue-gesd.2018.8635772","DOIUrl":"https://doi.org/10.23919/icue-gesd.2018.8635772","url":null,"abstract":"The paper describes proposed, implemented, tested and verified technical solutions supporting distributed energy resources (DER) and electrical vehicles (EV) integration in the distribution grids. The solutions are implemented by CEZ Distribuce, the largest Distribution System Operator (DSO) in the Czech Republic, in terms of Horizon 2020 InterFlex project. New approaches for PV inverters control are introduced in a way that DER integration is less limited by voltage constraints or other grid issues. Different approaches for LV and MV grids are explained. Smart solutions including autonomous functions of PV inverters, remote control or energy storage are presented to show the future potential for successful DER grid integration. Further an idea how to control EV charging power is introduced to integrate EVs smoothly.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"51 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80712335","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.2018.8635588
R. Rifat, Nahid Ibn Ashraf, Saniat Ahmed Chowdhury, Mustafa Habib Chowdhury
This study compares the response of thin-film silicon and gallium arsenide solar cells to the use of plasmonic metal nanoparticles for modifying their respective opto-electronic behavior. Square arrays of silver nanoparticles were placed at different inter-particle distances on top of a thin film of Silicon and gallium-arsenide substrate, respectively. The absorption of incident sunlight within each solar cell type is analyzed, and compared to the short circuit current density, open circuit voltage and the output power generated from each solar cell type due to the effect of the plasmonic nanoparticles. It is found that gallium-arsenide shows larger values than Silicon of the short circuit current generated, open circuit voltage, the fill-factor and the output power generated. These results show the effect of plasmonic metal nanoparticles to increase the optoelectronic efficiency of thin-film solar cells is not limited to only Silicon substrates but extends to other commonly used semiconductor substrates.
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