Pub Date : 2018-10-01DOI: 10.23919/ICUE-GESD.2018.8635671
Thitichaya Boonsom, C. Choosuk
This research is a study about the city development of Hatyai City Municipality using 4 ways to develop a low-carbon city, namely: 1) city of trees 2) city of waste minimization 3) city of energy efficiency and 4) city of sustainable consumption. Qualitative research is used to find answers in developing the city through policy, participation and suggestions, in order to be a low-carbon city according to the fixed guidelines. In-depth interview and participatory observation are used for research techniques with 3 groups of stakeholders; administrator and officers of Hatyai City Municipality, other local authorities, private representatives and civil society. Data is analyzed using grounded theory.The study found that an important influence that affects policy setting is an outer organization network which works as a volunteer and takes part in pushing for policy and affects development trends in the future. Factors, problems and obstacles were found that show there are limitations in setting national and local policy, lack of environmental knowledge, lack of participation to achieve a low-carbon city.A policy suggestion to set a goal for a low-carbon city that people is to unanimously participate in, reducing the emissions of greenhouse gas and for an operation to set a policy and work plan for people to acknowledge the benefit of being a low-carbon city and the positive impact on life quality, the economy, society and environment.
{"title":"Factors, Problems and Obstacles in Developing Hatyai City Municipality into a Low Carbon City of Thailand","authors":"Thitichaya Boonsom, C. Choosuk","doi":"10.23919/ICUE-GESD.2018.8635671","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635671","url":null,"abstract":"This research is a study about the city development of Hatyai City Municipality using 4 ways to develop a low-carbon city, namely: 1) city of trees 2) city of waste minimization 3) city of energy efficiency and 4) city of sustainable consumption. Qualitative research is used to find answers in developing the city through policy, participation and suggestions, in order to be a low-carbon city according to the fixed guidelines. In-depth interview and participatory observation are used for research techniques with 3 groups of stakeholders; administrator and officers of Hatyai City Municipality, other local authorities, private representatives and civil society. Data is analyzed using grounded theory.The study found that an important influence that affects policy setting is an outer organization network which works as a volunteer and takes part in pushing for policy and affects development trends in the future. Factors, problems and obstacles were found that show there are limitations in setting national and local policy, lack of environmental knowledge, lack of participation to achieve a low-carbon city.A policy suggestion to set a goal for a low-carbon city that people is to unanimously participate in, reducing the emissions of greenhouse gas and for an operation to set a policy and work plan for people to acknowledge the benefit of being a low-carbon city and the positive impact on life quality, the economy, society and environment.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"30 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74537474","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.2018.8635686
N. K. Vemula, S. Parida
The microgrid is an integrated form of distributed energy resources (DERs), which are typically interfaced with load and utility grid by power electronic converters. Stability analysis plays an important role in planning the microgrid system. In this paper, the analysis of stability and power sharing is carried out for an islanded microgrid with a universal droop controller. For a small signal stability assessment, state space model is developed for the microgrid system considering the linearized model of inverters and its associated feedback controllers. The different frequency modes of the complete model are identified and an eigen value analysis is done to determine the critical values of the controller gains. The system stability is tested on a microgrid framework with three inverters functioning as DERs. The effectiveness of the model is validated and verified with time domain simulations.
{"title":"Small Signal Stability Assessment of Inverter-Based Islanded Microgrids with Universal Droop Controller","authors":"N. K. Vemula, S. Parida","doi":"10.23919/ICUE-GESD.2018.8635686","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635686","url":null,"abstract":"The microgrid is an integrated form of distributed energy resources (DERs), which are typically interfaced with load and utility grid by power electronic converters. Stability analysis plays an important role in planning the microgrid system. In this paper, the analysis of stability and power sharing is carried out for an islanded microgrid with a universal droop controller. For a small signal stability assessment, state space model is developed for the microgrid system considering the linearized model of inverters and its associated feedback controllers. The different frequency modes of the complete model are identified and an eigen value analysis is done to determine the critical values of the controller gains. The system stability is tested on a microgrid framework with three inverters functioning as DERs. The effectiveness of the model is validated and verified with time domain simulations.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"82 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":"74911216","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.2018.8635688
K. B. Sahay, M. Goel
In this paper we discuss the simulation model and modeling of a 3MW PV based solar power plant connected to the grid on MATLAB Simulink R2014a. The motive behind this is to meet with the ever-changing demand of energy in this today’s world while keeping our planet free from pollution. For this purpose, one such idea is to employ the use of solar energy by harvesting it with the help of proper techniques. The requirement of MPPT controller is to ensure that at maximum power output possible, the PV power generation system gives an output. This system comprises of a solar array, Insulated Gate Bipolar Transistor based inverters & transformers to couple it to the grid. A graphical description of plant’s performance has also been done.
{"title":"Grid Integrated Solar Photovoltaic Array Power Plant Modeling and Simulation","authors":"K. B. Sahay, M. Goel","doi":"10.23919/ICUE-GESD.2018.8635688","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635688","url":null,"abstract":"In this paper we discuss the simulation model and modeling of a 3MW PV based solar power plant connected to the grid on MATLAB Simulink R2014a. The motive behind this is to meet with the ever-changing demand of energy in this today’s world while keeping our planet free from pollution. For this purpose, one such idea is to employ the use of solar energy by harvesting it with the help of proper techniques. The requirement of MPPT controller is to ensure that at maximum power output possible, the PV power generation system gives an output. This system comprises of a solar array, Insulated Gate Bipolar Transistor based inverters & transformers to couple it to the grid. A graphical description of plant’s performance has also been done.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"14 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":"72996754","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.2018.8635662
Shubham Tiwari, A. Bhatt, Arjun C. Unni, J. Singh, W. Ongsakul
The paper deals with the optimized tuning of P.I.D controller which is used to control the D C Motor. In this research work different PID tunings techniques are discussed.D.C Motor due to its very simple regulated characteristics is used in this paper. Due to this fact D.C. Motors are widely used in many industrial applications like steel mills, electric trains and many more. Here G.A-P.I.D (Genetic Algorithm – P.I.D) with different performance indices namely Mean Square Error (M.S.E) and Integral of Time multiplied by Absolute Error (I.TA.E) optimization technique is compared with standard P.I.D parameter adjustment technique i.e. Ziegler & Nichols method. Comparison of results are based on standard step responses parameters i.e. maximum overshoot, steady state and rise time.
{"title":"Control of DC Motor Using Genetic Algorithm Based PID Controller","authors":"Shubham Tiwari, A. Bhatt, Arjun C. Unni, J. Singh, W. Ongsakul","doi":"10.23919/ICUE-GESD.2018.8635662","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635662","url":null,"abstract":"The paper deals with the optimized tuning of P.I.D controller which is used to control the D C Motor. In this research work different PID tunings techniques are discussed.D.C Motor due to its very simple regulated characteristics is used in this paper. Due to this fact D.C. Motors are widely used in many industrial applications like steel mills, electric trains and many more. Here G.A-P.I.D (Genetic Algorithm – P.I.D) with different performance indices namely Mean Square Error (M.S.E) and Integral of Time multiplied by Absolute Error (I.TA.E) optimization technique is compared with standard P.I.D parameter adjustment technique i.e. Ziegler & Nichols method. Comparison of results are based on standard step responses parameters i.e. maximum overshoot, steady state and rise time.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"4 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":"80147045","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.2018.8635752
K. Palanisamy, Hephzibah David, Gopinathan Muthaiyah
Malaysia has been experiencing rapid growth in population, massive development in industrialization and urbanization. It has resulted in the generation of a greater amount of wastes. Usually, the solid wastes are disposed at landfills, which are mostly saturated and overloaded with solid wastes, but, due to the scarcity of land and public complaints, making the building of new landfill almost impossible, hence the disposal of MSW is one of the major environmental issues faced by the country. Meanwhile, in the sewerage industry, sludge that is high in embedded energy is generated and it can be used to produce methane through anaerobic digestion especially in the modern mechanized sewage treatment plant (STP). However, the secondary thickened sludge (STS) is a poor substrate for anaerobic digestion. Studies have shown that the digestibility of STS can be improved my pre-treatment methods such as microwave pre-treatment prior to the anaerobic digestion. Besides that, co-digestion is an effective way to overcome the low biodegradability of STS which also promotes an environmentally and an ecologically friendly way to dispose of the food wastes. Also, it can be used to produce renewable energy which could reduce the dependency on fossil fuel for power generation. Moreover, it also can deliver beneficial synergies for the sewage industry and the MSW industry. This work elucidates the preliminary investigation of the potentials of co-digestion of microwave pre-treated STS and food waste and its effect on biodegradability and methane yield, which proposes a sustainable management of solid waste generated in urban areas while harnessing the resources to generate green electricity.
{"title":"Food Waste Co-Digestion with Microwave Pre-Treated Sewage Sludge to Enhance Biogas Production Through Anaerobic Digestion","authors":"K. Palanisamy, Hephzibah David, Gopinathan Muthaiyah","doi":"10.23919/ICUE-GESD.2018.8635752","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635752","url":null,"abstract":"Malaysia has been experiencing rapid growth in population, massive development in industrialization and urbanization. It has resulted in the generation of a greater amount of wastes. Usually, the solid wastes are disposed at landfills, which are mostly saturated and overloaded with solid wastes, but, due to the scarcity of land and public complaints, making the building of new landfill almost impossible, hence the disposal of MSW is one of the major environmental issues faced by the country. Meanwhile, in the sewerage industry, sludge that is high in embedded energy is generated and it can be used to produce methane through anaerobic digestion especially in the modern mechanized sewage treatment plant (STP). However, the secondary thickened sludge (STS) is a poor substrate for anaerobic digestion. Studies have shown that the digestibility of STS can be improved my pre-treatment methods such as microwave pre-treatment prior to the anaerobic digestion. Besides that, co-digestion is an effective way to overcome the low biodegradability of STS which also promotes an environmentally and an ecologically friendly way to dispose of the food wastes. Also, it can be used to produce renewable energy which could reduce the dependency on fossil fuel for power generation. Moreover, it also can deliver beneficial synergies for the sewage industry and the MSW industry. This work elucidates the preliminary investigation of the potentials of co-digestion of microwave pre-treated STS and food waste and its effect on biodegradability and methane yield, which proposes a sustainable management of solid waste generated in urban areas while harnessing the resources to generate green electricity.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"96 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":"81897852","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.2018.8635732
D. Mansur, Ruliana, C. Rustana
The used of vegetable oils in transesterified form is a common technological product for biofuel especially biodiesel.In order to develop a specification of biofuel, vegetable oils were converted into bio-alkane fuel by hydroprocessing technology. Selective bio-alkane fuel formation and higher heating value (HHV) of the product were investigated. Hydroprocessing of Calophyllum inophyllum oil as one of vegetable oil was carried out at ranges of parameter process (T = 320-350°C, PH2 = 1-4 MPa, t = 60-240 min, commercial NiMo/Al2O3 catalyst loading = 0-2.5 % mass of feed). Liquid product after hydroprocessed was analyzed to determine the formation of bio-alkane fuel composition and its calorific value. During hydroprocessing the fatty acids in Calophyllum inophyllum oil (mainly palmitic acid (C16), stearic acid (C18:0), oleic acid (C18:1), and linoleic acid (C18:2) were mainly converted into pentadecane (C15H32) and heptadecane (C17H36). Increase in temperature, hydrogen pressure, and amount of catalyst, the total percentage area of the bio-alkane fuel as well as HHV in the liquid product also increased. Finally, hydroprocessed Calophyllum inophyllum oil selectively produced pentadecane (C15H32) and heptadecane (C17H36) with small amount of nonane (C9H20), decane (C10H22), undecane (C11H24), dodecane (C12H26), tridecane (C13H28), tetradecane (C14H30), hexadecane (C16H34), octadecane (C18H38), nonadecane (C19H40), eicosane (C20H42), heneicosane (C21H44), docosane (C22H46), and tetracosane (C24H50).
{"title":"Hydroprocessed Calophyllum inophyllum Oil for Linear Bio-alkane Fuel Production","authors":"D. Mansur, Ruliana, C. Rustana","doi":"10.23919/ICUE-GESD.2018.8635732","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635732","url":null,"abstract":"The used of vegetable oils in transesterified form is a common technological product for biofuel especially biodiesel.In order to develop a specification of biofuel, vegetable oils were converted into bio-alkane fuel by hydroprocessing technology. Selective bio-alkane fuel formation and higher heating value (HHV) of the product were investigated. Hydroprocessing of Calophyllum inophyllum oil as one of vegetable oil was carried out at ranges of parameter process (T = 320-350°C, P<inf>H2</inf> = 1-4 MPa, t = 60-240 min, commercial NiMo/Al<inf>2</inf>O<inf>3</inf> catalyst loading = 0-2.5 % mass of feed). Liquid product after hydroprocessed was analyzed to determine the formation of bio-alkane fuel composition and its calorific value. During hydroprocessing the fatty acids in Calophyllum inophyllum oil (mainly palmitic acid (C<inf>16</inf>), stearic acid (C<inf>18</inf>:0), oleic acid (C<inf>18</inf>:1), and linoleic acid (C<inf>18</inf>:2) were mainly converted into pentadecane (C<inf>15</inf>H<inf>32</inf>) and heptadecane (C<inf>17</inf>H<inf>36</inf>). Increase in temperature, hydrogen pressure, and amount of catalyst, the total percentage area of the bio-alkane fuel as well as HHV in the liquid product also increased. Finally, hydroprocessed Calophyllum inophyllum oil selectively produced pentadecane (C<inf>15</inf>H<inf>32</inf>) and heptadecane (C<inf>17</inf>H<inf>36</inf>) with small amount of nonane (C<inf>9</inf>H<inf>20</inf>), decane (C<inf>10</inf>H<inf>22</inf>), undecane (C<inf>11</inf>H<inf>24</inf>), dodecane (C<inf>12</inf>H<inf>26</inf>), tridecane (C<inf>13</inf>H<inf>28</inf>), tetradecane (C<inf>14</inf>H<inf>30</inf>), hexadecane (C<inf>16</inf>H<inf>34</inf>), octadecane (C<inf>18</inf>H<inf>38</inf>), nonadecane (C<inf>19</inf>H<inf>40</inf>), eicosane (C<inf>20</inf>H<inf>42</inf>), heneicosane (C<inf>21</inf>H<inf>44</inf>), docosane (C<inf>22</inf>H<inf>46</inf>), and tetracosane (C<inf>24</inf>H<inf>50</inf>).","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"57 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":"84875087","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.2018.8635792
N. Mohan, K. Soman, Kumar S Sachin
To ensure power system stability, control and quality supply of power, it is essential to monitor power system parameters such as frequency and amplitude. This paper proposes a data-driven approach based on dynamic mode decomposition (DMD) algorithm for the accurate estimation of frequency and amplitude in smart grid. In the proposed approach, to extract the multiple frequency components, including harmonics, inter-harmonics and subharmonics, a stacked measurement matrix is created by appending multiple time-shifted versions of power signals. An optimal hard-thresholding is performed on the singular values of the measurement matrix to deal with the uncertainties and high-level noises. Further, the frequency and amplitude are computed based on the extracted dynamic modes. The performance of the proposed approach is confirmed through various experiments conducted on different power system scenarios under noisy and noiseless conditions. The effectiveness of the DMD based method is verified by comparing the results with several state-of-the-art methods. The promising results suggest that the proposed approach can be used as an efficient candidate for estimating the power system frequency and amplitude.
{"title":"A Data-driven Approach for Estimating Power System Frequency and Amplitude Using Dynamic Mode Decomposition","authors":"N. Mohan, K. Soman, Kumar S Sachin","doi":"10.23919/ICUE-GESD.2018.8635792","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635792","url":null,"abstract":"To ensure power system stability, control and quality supply of power, it is essential to monitor power system parameters such as frequency and amplitude. This paper proposes a data-driven approach based on dynamic mode decomposition (DMD) algorithm for the accurate estimation of frequency and amplitude in smart grid. In the proposed approach, to extract the multiple frequency components, including harmonics, inter-harmonics and subharmonics, a stacked measurement matrix is created by appending multiple time-shifted versions of power signals. An optimal hard-thresholding is performed on the singular values of the measurement matrix to deal with the uncertainties and high-level noises. Further, the frequency and amplitude are computed based on the extracted dynamic modes. The performance of the proposed approach is confirmed through various experiments conducted on different power system scenarios under noisy and noiseless conditions. The effectiveness of the DMD based method is verified by comparing the results with several state-of-the-art methods. The promising results suggest that the proposed approach can be used as an efficient candidate for estimating the power system frequency and amplitude.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"65 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":"80356055","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.2018.8635682
{"title":"ICUE 2018 Index","authors":"","doi":"10.23919/icue-gesd.2018.8635682","DOIUrl":"https://doi.org/10.23919/icue-gesd.2018.8635682","url":null,"abstract":"","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76308713","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.2018.8635657
R. Martinez, Patrick Hosein
Many countries are actively developing plans to increase renewable energy production with some countries even targeting a goal of 100% renewable energy within the next few years. The reasons are twofold, reduced carbon emissions and reduced dependence on fossil fuels with the associated fluctuations in oil and natural gas prices. However, several other countries have not been taking the required actions to increase their production of renewable energy. In some cases, this occurs in energy-rich countries where electricity prices are heavily subsidized and hence residential and commercial consumers have no incentive to invest in renewable energy because the time taken to offset the investment is far too long. We use Machine Learning techniques to quantify this conjecture by showing the relationship between renewable energy production and electric prices for various countries. The data used for this exercise (namely electricity costs and renewable energy production per country) is taken from various online datasets. We conclude that, in order for a country to seriously increase its renewable energy production so that it is a significant percentage of total energy production, it must first reduce the heavy subsidies provided to its citizens. Using our model, we can determine, for a given country, what reduction in subsidies is required to achieve a certain renewable energy production target. Countries can then use this information to plan future renewable energy targets and electricity subsidy reductions. We use our home country as a use case for this exercise.
{"title":"The Impact of Low Electricity Prices on Renewable Energy Production","authors":"R. Martinez, Patrick Hosein","doi":"10.23919/ICUE-GESD.2018.8635657","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635657","url":null,"abstract":"Many countries are actively developing plans to increase renewable energy production with some countries even targeting a goal of 100% renewable energy within the next few years. The reasons are twofold, reduced carbon emissions and reduced dependence on fossil fuels with the associated fluctuations in oil and natural gas prices. However, several other countries have not been taking the required actions to increase their production of renewable energy. In some cases, this occurs in energy-rich countries where electricity prices are heavily subsidized and hence residential and commercial consumers have no incentive to invest in renewable energy because the time taken to offset the investment is far too long. We use Machine Learning techniques to quantify this conjecture by showing the relationship between renewable energy production and electric prices for various countries. The data used for this exercise (namely electricity costs and renewable energy production per country) is taken from various online datasets. We conclude that, in order for a country to seriously increase its renewable energy production so that it is a significant percentage of total energy production, it must first reduce the heavy subsidies provided to its citizens. Using our model, we can determine, for a given country, what reduction in subsidies is required to achieve a certain renewable energy production target. Countries can then use this information to plan future renewable energy targets and electricity subsidy reductions. We use our home country as a use case for this exercise.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"67 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":"86113180","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.2018.8635735
Kannathat Mansuwan, P. Jirapong, Sattawat Burana, P. Thararak
In this paper, an improved genetic algorithm (IGA) implemented with reliable power system analysis tool is developed to determine the optimal planning and operation of battery energy storage system (BESS) in smart grid with photovoltaic (PV) generation. The main objectives are maximizing benefit from energy losses reduction and energy shaving enhancement, while minimizing the investment cost. Double layers optimization technique is implemented for determining the BESS siting and sizing in the first layer, while the maximum energy shaving is calculated in the second layer. The IGA implemented in MATLAB and DIgSILENT programs utilizing an automatic data exchange process is utilized for solving the optimal solution. This approach is tested on a practical 22 kV distribution network of Thailand to present the effectiveness of decision-making support tool. The simulation results show that the optimal BESS planning results in mitigating PV intermittency and improvement in smart grid efficiency.
{"title":"Optimal Planning and Operation of Battery Energy Storage Systems in Smart Grids Using Improved Genetic Algorithm Based Intelligent Optimization Tool","authors":"Kannathat Mansuwan, P. Jirapong, Sattawat Burana, P. Thararak","doi":"10.23919/ICUE-GESD.2018.8635735","DOIUrl":"https://doi.org/10.23919/ICUE-GESD.2018.8635735","url":null,"abstract":"In this paper, an improved genetic algorithm (IGA) implemented with reliable power system analysis tool is developed to determine the optimal planning and operation of battery energy storage system (BESS) in smart grid with photovoltaic (PV) generation. The main objectives are maximizing benefit from energy losses reduction and energy shaving enhancement, while minimizing the investment cost. Double layers optimization technique is implemented for determining the BESS siting and sizing in the first layer, while the maximum energy shaving is calculated in the second layer. The IGA implemented in MATLAB and DIgSILENT programs utilizing an automatic data exchange process is utilized for solving the optimal solution. This approach is tested on a practical 22 kV distribution network of Thailand to present the effectiveness of decision-making support tool. The simulation results show that the optimal BESS planning results in mitigating PV intermittency and improvement in smart grid efficiency.","PeriodicalId":6584,"journal":{"name":"2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE)","volume":"6 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":"88764269","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：