2022 5th International Conference on Energy Conservation and Efficiency (ICECE)最新文献_第2页

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2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/icece54634.2022.9758978

引用次数: 0

Role of Artificial Intelligence in Renewable Energy and its Scope in Future 人工智能在可再生能源中的作用及其未来应用范围

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/ICECE54634.2022.9758957

A. Ashfaq, Muhammad Kamran, Faisal Rehman, Nadeem Sarfaraz, Hafiz Usman Ilyas, Hafiz Hassan Riaz

{"title":"Role of Artificial Intelligence in Renewable Energy and its Scope in Future","authors":"A. Ashfaq, Muhammad Kamran, Faisal Rehman, Nadeem Sarfaraz, Hafiz Usman Ilyas, Hafiz Hassan Riaz","doi":"10.1109/ICECE54634.2022.9758957","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758957","url":null,"abstract":"The use of air and the sunlight considering significant sources of the renewable energy have the study focus and development in past years. The presence of air, sunlight and the other commodities in Earth used wisely for human welfare while also maintaining the living beings and the environment. The development of revolutionary technology for best output from natural resources is the backbone of current and future efforts in RE and increased environmental awareness to improve management and distribution systems. Artificial Intelligence (AI) could help the RE to achieve its future goals, just as it has in other fields (food, health, lodging, safety, and so on). Biologically inspired AI approaches have been used in a number of projects to meet the RE’s common and future goals. Despite the fact that many researches has been performed for scaling and for optimize renewable energy systems. Literature study provides a comprehensive review of the best plans of Artificial Intelligence, highlighting the importance of penetrating literature. Artificial Intelligence utilizes the features of renewable energy in order to improve the systems economic functioning. This study shows a complete review as well as modern research findings in the fields of wind, solar, geothermal, bioenergy, ocean, hybrid energy, hydro, and hydrogen energy. The role of hybrid and single artificial intelligence techniques for the study and the development for RE sources mentioned above will thoroughly be analyzed.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129051402","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}

引用次数: 6

[ICECE 2022 Back cover] [ICECE 2022封底]

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/icece54634.2022.9758981

引用次数: 0

Solar Powered Brackish Water Pumping & Desalination Plant 太阳能微咸水抽水和海水淡化厂

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/ICECE54634.2022.9758979

Udaya Rahubadde, Akmal Gunasekara, Thisara Kumara

{"title":"Solar Powered Brackish Water Pumping & Desalination Plant","authors":"Udaya Rahubadde, Akmal Gunasekara, Thisara Kumara","doi":"10.1109/ICECE54634.2022.9758979","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758979","url":null,"abstract":"The availability of drinkable water will be a significant problem after 20–25 years from today in Sri Lanka. Everyone living on planet Earth is on the verge of facing a drinking water crisis shortly. Only 1% of Earth’s water is in a fresh, liquid state, and nearly all of this is polluted by both diseases and toxic chemicals. For this reason, the purification of water supplies is essential.Keeping these things in mind, we have designed an innovative model that will convert dirty/saline water into pure drinkable water using a renewable energy source (i.e., solar energy). The main motive was to provide a reliable solution to the drinking water shortage using a renewable energy source—the developed model function by harnessing solar thermal and photovoltaics. The heat is transferred using radiation, convection, and conduction. The results are obtained by evaporation of the saline water and collecting it as pure drinkable water.The designed model produces 265 ml of pure water from 1292 ml of dirty water for seven hours. The plant has an average water purification rate of 70.6 ml per hour per square meter.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486270","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}

引用次数: 0

Enhanced Local Measurement Based Online Fault Location Technique for Low Voltage DC Distribution Network 基于增强局部测量的低压直流配电网故障在线定位技术

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/ICECE54634.2022.9758953

Reeha Shareef, T. Mahmood, Faiqa Tariq

{"title":"Enhanced Local Measurement Based Online Fault Location Technique for Low Voltage DC Distribution Network","authors":"Reeha Shareef, T. Mahmood, Faiqa Tariq","doi":"10.1109/ICECE54634.2022.9758953","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758953","url":null,"abstract":"Recent advancements in Low carbon technologies has directed the interest of researchers toward Low Voltage Direct Current (LVDC) distribution network as an alternative of typical AC distribution system. LVDC network reduce the chances of losses during power conversions and provide additional controllability and flexibility. However, immediate fault detection and locating fault accurately is still a key challenge due to the power converters in LVDC, because power converters control the fault current which makes the fault detection and estimation of fault location difficult. Some of the communication based existing techniques for fault location are either rely on quick communication network or data synchronization. Further, the existing methods needed to be improved in terms of required time for location estimation and estimation error. Therefore, an enhanced local measurement based online fault location strategy is proposed with reduced estimation error for LVDC distribution network, which can further be used for immediate post fault maintenance. The purpose of this study is to locate different types of DC faults (pole-to-pole, pole to ground) in LVDC distribution network and optimize the estimation error in fault location by considering the contribution of multiple converters (i.e., connected within network) in fault current. A simplified LVDC distribution network is constructed by PSCAD/EMTDC, and the proposed algorithm is simulated by MATLAB. The proposed algorithm is validated against different types of faults on LVDC network and shown to be more accurate and reliable than existing techniques.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132719308","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}

引用次数: 0

Energy Conservation in Processing Area of Textile Industry 纺织工业加工区域的节能

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/ICECE54634.2022.9758967

Muahammad Hassan Qaisar, Muahammad Bilal

引用次数: 0

Study of Power Quality Improvement in Microgrid Based on Solar PV/Micro-Hydro/Wind Renewable Energy Generation with Battery System 基于电池系统的太阳能光伏/微水电/风能可再生能源微电网电能质量改善研究

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/ICECE54634.2022.9758977

D. Sahidin, T. D. Rachmildha, D. Hamdani

{"title":"Study of Power Quality Improvement in Microgrid Based on Solar PV/Micro-Hydro/Wind Renewable Energy Generation with Battery System","authors":"D. Sahidin, T. D. Rachmildha, D. Hamdani","doi":"10.1109/ICECE54634.2022.9758977","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758977","url":null,"abstract":"Most power plants are based on fossil fuels and produce ever-enhancing greenhouse gas emissions. Indonesia is one of the countries in the Paris Agreement, has the goal to utilize power plants based on renewable energy to generate a cleaner and more sustainable environment. Yet renewable energy generation faces challenges such as the seasonal and intermittent nature. It potentially yields power quality problems. The aim of this paper studies the power quality aspect of the microgrid from three kinds of renewable energy generation, i.e., solar photovoltaic (PV), micro-hydro, and wind energy. The microgrid utilized as a case study is based on the development of an off-grid power system in Teluk Sumbang Village, East Kalimantan, Indonesia, which is based on PV, micro-hydro, and battery systems. The wind energy system is integrated into the existing microgrid system. The battery system is applied in the solar PV system to compensate for voltage fluctuation generated from renewable energy power plants. The method to analyze power quality is using the MATLAB/Simulink software. Analysis of the Total Harmonic Distortion (THD) index is carried out through Fast Fourier Transform (FFT). Furthermore, transient overvoltage phenomenon is observed using simulation of three-phase to ground fault. The overall results of the power quality analysis are compared with the IEEE 519-2014 and IEC 61000-4-30:2012 standards. The whole microgrid system scheme yields THD indexes value below 5%. Furthermore, the battery system applied in the microgrid can produce better power quality.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128249775","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}

引用次数: 1

Short Term Wind Power Prediction using Feedforward Neural Network (FNN) trained by a Novel Sine-Cosine fused Chimp Optimization Algorithm (SChoA) 基于新型正弦余弦融合黑猩猩优化算法(SChoA)训练的前馈神经网络(FNN)短期风电预测

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/ICECE54634.2022.9758965

M. Mansoor, Q. Ling, M. Zafar

{"title":"Short Term Wind Power Prediction using Feedforward Neural Network (FNN) trained by a Novel Sine-Cosine fused Chimp Optimization Algorithm (SChoA)","authors":"M. Mansoor, Q. Ling, M. Zafar","doi":"10.1109/ICECE54634.2022.9758965","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758965","url":null,"abstract":"WIND power generation using wind energy conversion systems (WECS) integrated into the power grid are prone to uncertainty in wind power production. The nonlinear nature of wind, weather conditions and impact of wind speed on the generated power impacts the grid voltage and harmonics. A stable grid operation requires a precise prediction of available electrical power in real-time. As a solution, short-term wind forecasting of wind flow rate is essential to compensate for load variations and improvise wind power generation. To this problem, A hybrid methodology is employed where stochastic optimizer based-Artificial Neural Network (ANN) training is proposed due to a highly effective explorative mathematical model. Stochastic optimizer effectively trains the NN. The performance of the proposed technique is compared to well-known optimization techniques using seasonal case studies. The proposed method has shown better prediction performance as compared to existing techniques. SChoANN achieves up to 94.87% and 97.18% less training error and up to 96.42% and 83.64% less testing error in winter and summer seasons respectively.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"359 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115781814","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}

引用次数: 3

Design and Development of IoT-Based Hybrid Bike with Multiple Modes of Charging 基于物联网的多模式充电混合动力自行车的设计与开发

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/ICECE54634.2022.9758959

Muhammad Jamal Sarwar, M. Riaz, Muhammad Imran, M. Hamza, Rashid Hussain, Muhammad Fakhar e Moosa

{"title":"Design and Development of IoT-Based Hybrid Bike with Multiple Modes of Charging","authors":"Muhammad Jamal Sarwar, M. Riaz, Muhammad Imran, M. Hamza, Rashid Hussain, Muhammad Fakhar e Moosa","doi":"10.1109/ICECE54634.2022.9758959","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758959","url":null,"abstract":"To overcome the energy crisis of the country and to make an advancement in the field of the automotive industry, hybrid vehicles are the need of the future. Advancement in this industry will make the environment less polluted and it also enhances the efficiency of the vehicles as they are fuel-efficient and cost-effective. The hybrid system is a combination of more than one energy source which increases the overall performance of the system. In this paper, IC engines have been used with the integrated effect of hub motor which operates on electrical energy. The multiple modes of energy are used as the input power of the proposed hybrid bike. The electrical energy will be generated from different sources like solar, WAPDA 220V, bike generator, and also from the electric motor which acts as a generator when hub motor operates on engine model. The proposed model of hybrid vehicles can cover up all these deficiencies because of its environment-friendly and cost-effective behavior. The fuel consumption of this hybrid bike after testing is much lower and it can also travel more distance as compared to other traditional bikes. The use of the internet of things (IoT) in this field makes the proposed system much secure as a proper tracking system has been made for this. The performance parameters of the bike can also be monitored which makes it more sustainable user friendly.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130563418","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}

引用次数: 0

Breakthrough in Achieving Energy Mix Target in Indonesia 印尼实现能源结构目标取得突破

2022 5th International Conference on Energy Conservation and Efficiency (ICECE) Pub Date : 2022-03-16 DOI: 10.1109/ICECE54634.2022.9758982

J. Raharjo, B. Rahmat, Jaspar Hasudungan, K. B. Adam

{"title":"Breakthrough in Achieving Energy Mix Target in Indonesia","authors":"J. Raharjo, B. Rahmat, Jaspar Hasudungan, K. B. Adam","doi":"10.1109/ICECE54634.2022.9758982","DOIUrl":"https://doi.org/10.1109/ICECE54634.2022.9758982","url":null,"abstract":"The energy crisis is a global issue, apart from global warming, encouraging countries to use renewable energy sources. Likewise, Indonesia, a country with a large population and huge potential for renewable energy sources, has a target of using renewable energy of 23% in the energy mix in 2025 and 31% in 2050. This study compares the predictions of installed capacity and energy mix using simple linear regression and compares it with the energy mix target set by the Government so that the percentage deviation is known. Based on the linear regression method calculation in 2025, the percentage of renewable energy in the energy mix only reaches 13.76%. However, several breakthroughs have been made, including the issuance of several government policies that encourage the achievement of these targets and mandate local governments to realize the potential of their respective regions. Meanwhile, the results of the SLR in 2050 are very close to the energy mix target set by the Government, namely 97.87 percent for installed capacity and 96.88 percent for the capacity of renewable energy sources. It could be because the Government still has enough time to implement the plans that have been drawn up.","PeriodicalId":414111,"journal":{"name":"2022 5th International Conference on Energy Conservation and Efficiency (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124345976","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}

引用次数: 2