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检索条件"机构=Energy System Engineering Study Program"

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study of Shared energy Storage Considering Battery Degradation on Remote Island

Study of Shared Energy Storage Considering Battery Degradati...

引用

2024 International Conference on Green energy, Computing and Sustainable Technology, GECOST 2024

作者： Asri, Rishal Aki, Hirohisa Kodaira, Daisuke Institute of Systems and Information Engineering University of Tsukuba Tsukuba Japan Energy System Engineering Study Program Institut Teknologi Sumatera Lampung Indonesia

ISBN: (纸本)9798350357905

Solar photovoltaic generation and energy storage are being used to power rural places. However, remote users are burdened by private energy storage devices. Remoteness limits the economic viability of cooperative energy storage. Our work proposes a shared energy storage model considering battery degradation. To test the model, we compared Individual, Neighbor, and Communal scenarios. The system was built as a mixed integer linear programming model to investigate optimal operating methods. Compared to the other situations, the Neighbor scenario saves operational expenses by 4.97%. Finally, the self-consumption rate shows optimal penetration of renewable energy parameters. © 2024 IEEE.

关键词： Integer programming

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Calibration of 100 A/50mA instrument current transformer energy meter using bisection method 2

Calibration of 100 A/50mA instrument current transformer ene...

引用

2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

作者： Bimantoro, Renardi Ardiya Rahardjo, Amien Husnayain, Faiz Aryani, Dwi Riana Hudayala, Chairul Universitas Indonesia Department of Electrical Engineering Faculty of Engineering Depok16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok16424 Indonesia

ISBN: (纸本)9781728128252

Instrument current transformers (CTs) are widely used in various types of electrical energy measurement. Eddy current losses, losses of hysteresis, a saturation of CT, and inevitable flux leaks could lead to errors including errors in the ratio and phase angle. Improving the accuracy of CT measurement could be achieved in many ways. In this study, a bisection calibration method to overcome the error by implementing correction factor integrated with the Arduino codes is investigated. The reliability of this system has been tested in two different situations, which are a constant and variable load experiments. The result shows that the readout of the developed instrument using 100 A/50mA CT could achieve the deviation value of less than 2%, confirming the excellence accuracy of energy meter. © 2019 IEEE.

关键词： Electric instrument transformers

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Prediction of power transformers lifetime using thermal modeling analysis 2

Prediction of power transformers lifetime using thermal mode...

引用

2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

作者： Afifah, Sarah Nainggolan, Jannus Maurits Wibisono, Gunawan Hudaya, Chairul Universitas Indonesia Departement of Electrical Engineering Faculty of Engineering Depok16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok16424 Indonesia

ISBN: (纸本)9781728128252

Transformer is one of the main components in distribution system of electrical power system towards the consumers, thereby any damage to the transformers will hinder the distribution of electricity towards the consumers, and in turn will make the SAIDI and SAIFI levels go up. High temperature in transformers can cause degradation in the insulation of transformers which in turn will cause failure in transformers. When the temperature in winding reaches or goes beyond the limit of 110°C, a degradation in insulation will start happening and the remaining life of transformers will decrease. Damage in transformers will cause disturbance in electrical power system and result in a major economic loss. Before damages occur, transformers need to be changed up until it is deemed to be no longer efficient, this can be done by replacing the transformer that is about to be damaged. To predict when a transformer is about to break, a calculation is made based on thermal modelling according to IEEE Std C57.91-1995 with its most prominent variable being Hot Spot Temperature (HST). HST is obtained by MATLAB programming using Annex G of IEEE Std. C57.91-1995. By obtaining HST, thus the remaining lifetime of transformers can be predicted. This study analysed the effect of loading, hot-spot temperature, and ambient temperature on the remaining lifetime of a transformer. The higher those three factors, the quicker the transformer will break, with loss of life percentage increasing exponentially. The highest loading, hot spot temperature, and ambient temperature given in this research gives percent loss of life of 0.0888332%, 0.0193394%, 0.020753% respectively. © 2019 IEEE.

关键词： Power transformers

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Analysis on Business Development and Pricing for Electric Vehicle Charging in Indonesia 3

Analysis on Business Development and Pricing for Electric Ve...

引用

2021 3rd International Conference on E-Business and E-Commerce engineering, EBEE 2021

作者： Santoso, Budi Wahyu Purwanto, Widodo Sustainable Energy System and Policy Research Cluster Universitas Indonesia Depok16424 Indonesia Energy System Engineering Study Program Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Indonesia Depok16424 Indonesia

ISBN: (纸本)9781450387392

Electric Vehicles (EVs) has important role in the successful of energy transition and reducing dependency from fossil fuels. Indonesia has started to develop EVs. One of the challenges is charging infrastructure development, includes business model and pricing scheme to achieve business feasibility. This study analyses business model and pricing mechanism for public charging station in Indonesia where a case study is conducted in Jabodetabek area. Monte-Carlo method is used to estimate charging demand based on current travel data and estimated EVs population in 2025. Cash flow method is used to calculate feasible price for public charging with Fixed and ToU price schemes. EVs home charging cost is also calculated to investigate competitiveness of public charging price for each business model. The results show that prices of public charging business model are competitive compared to cost of home charging. The proposed ToU price scheme for public charging is more competitive compared to fixed price scheme, and also effective to minimize grid load escalation of home charging during busy periods. Furthermore, daily cost of EV charging is calculated and compared to fuel cost of ICE vehicles. The result shows that EV charging cost is lower than fuel cost of ICE vehicles. © 2021 ACM.

关键词： Costs

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Design and Implementation study of 3.12 kWp on - Grid Rooftop Solar PV system 7

Design and Implementation Study of 3.12 kWp on - Grid Roofto...

引用

7th International Conference on Electrical engineering and Informatics, ICEEI 2019

作者： Mizard, Ariyq Naufal Aryani, Dwi Riana Verdianto, Ariono Hudaya, Chairul Faculty of Engineering Universitas Indonesia Department of Electrical Engineering Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Kampus Baru UI Depok 16424 Indonesia

ISBN: (纸本)9781728124186

Conversion of fossil fuels as an energy source can be achieved by optimizing the use of renewable energy. One of the most used renewable energy is solar photovoltaics (PV). At present, solar power plant is an electrification support system for certain buildings because the abundant availability of solar radiation. On this research, Power and energy observations are carried out to determine measure the load power trend, the amount of energy flow from PV to the load, as well as import or export power from or to utility grid by direct measurement on Mosque of Faculty of engineering, Universitas Indonesia. According to the study, the highest power generated by solar power plant mostly occurs at 12:00 - 13:00 with the highest power generated by PV is 2,344 W and the exported power is 939 W, and 32.19% - 55.67% electricity energy savings consumption from utility grid. © 2019 IEEE.

关键词： Solar energy

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Improving loss of load probability through biomass power plant integration: A case study in Tanjung Balai Karimun 2

Improving loss of load probability through biomass power pla...

引用

2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

作者： Sunarwoko Elsafan, Erick Suhaimi, Lalu Hudaya, Chairul Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok Indonesia Department of Metallurgy Engineering Faculty of Engineering Universitas Teknologi Sumbawa NTB Indonesia

ISBN: (纸本)9781728128252

Many regions in Indonesia are still lack of electricity due to geographical condition in the form of archipelago, including Tanjung Balai Karimun District, in Kepulauan Riau Province, Indonesia. Therefore, using local renewable resources to fulfill load demand is better than relying on utility grid. The potential of using biomass waste, for instance oil palm and coconut residues, as renewable energy resources should be an optional decision to make improvement, not only for the reliability of existing power system itself but also to meet the load demand generally available in every region of Indonesia. In 2016, Karimun Regency in Riau Islands Province as a Special Economic Zone (SEZ) is growing rapidly in economic and facing electrical energy crisis simultaneously. Addressing this problem, the government has taken an action by making amendment on the policy that consciously planned to increase the capacity of power plants, in particular Oil and Gas Power Plants (OGPP) in the period of 2018-2024. The objective of this study is to evaluate the reliability of Tanjung Balai Karimun power system based on its Loss of Load Probability (LOLP) index designed during the planning period of power plant addition. Then, the value of new LOLP index was recalculated after integrating new system of Biomass Power Plant (BPP). Based on LOLP calculation using recursive method, LOLP index in 2018 decreased from 3.63 days/year to 2.05 days/year, reflecting quality improvement of the power plant reliability. Integrating BPP into the existing power plant has powered up the capacity of 2.8 MW according to the availability of oil palm and coconut biomass waste. © 2019 IEEE.

关键词： Biomass

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Prediction of electricity load growth of tangerang city using SIMPLE-E 2

Prediction of electricity load growth of tangerang city usin...

引用

2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

作者： Putra, Andi Aulia Nayusrizal, N. Untari, Indira Wibisono, Gunawan Hudaya, Chairul Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok16424 Indonesia Trunojoyo Block M-I No.135 Jakarta12160 Indonesia

ISBN: (纸本)9781728128252

The electricity load growth should be planned appropriately to meet energy demand in a certain area. Electricity consumption growth is generally proportional with the economic and population growth. Using historical data on Gross Domestic Regional Product (GDRP) and population growth, the electricity load growth in the near future can be statistically predicted. The relationship between economic and population growth trend and total customers as well as the demands of contract electricity energy growth trend could be connected by the linear regression method to predict electricity energy consumptions. Through a Simple Econometric Simulation system (SIMPLE-E) program run in Microsoft Excel application, linear regression trend can be calculated. The purpose of study is to predict the growth of electricity consumption in Tangerang City-Indonesia, for the next ten consecutive years (2019-2028). Customer data that will be analyzed consist of five segments, which are Residential (R), Commercial (B), Industry (I), Public (P), and Social (S). Those can be combined with Gross Regional Domestic Product and human population using Multiples Linear Regression in SIMPLE-E. The correlation between dependent variables (total customers and contract of power) and independent variables (population and GRDP) will be computed in SIMPLE-E through rate value of correlation R, Adjusted R, and Durbin Watson test. The Actual trend data of total customer, contract power from 2012 to 2018, is compared to model equation from linear regression. The calculation of error use Root Mean Square Percentage Error and Mean Percentage Error, shows that the total error is less than 5%, meaning the simulation is scientifically accepted. This study shows that the average growth of electricity consumption in Tangerang city from 2019 to 2028 is 5.63%. It means that every 1% growth of economy in Tangerang will increase electricity load consumption for 0.94%. © 2019 IEEE.

关键词： Errors

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Analysis of Power Transformer's Lifetime Using Health Index Transformer Method Based on Artificial Neural Network Modeling

Analysis of Power Transformer's Lifetime Using Health Index ...

引用

International Conference on Electrical engineering and Informatics, ICEEI

作者： Himawan Nurcahyanto Jannus Maurits Nainggolan I Made Ardita Chairul Hudaya Faculty of Engineering Universitas Indonesia Depok Indonesia Energy System Engineering Master Study Program Faculty of Engineering Universitas Indonesia Depok Indonesia

Transformers play a big role in the distribution of electrical energy. One of the factors that determines the reliability level of the transformer is the life of the transformer. If the transformer is used longer, the level reliability of its transformer will be decrease. The purpose of this research was to predict the life of a transformer based on the health index transformer calculation, then the value of health index transformer will be modeled by using artificial neural network. The results of this research were the values used as the parameters in transformer testing, which were insulating oil, furan, and dissolved gas. One of the advantages of artificial neural network methods in predicting the life of the transformer is a calculation error that can be minimized. From the result of this research, the transformer's life prediction system can be used directly to determine the lives of other transformers, both new and operating ones, with a low percentage of errors. Furthermore, this method can be used as an option in maintaining power transformers.

关键词： Oil insulation Power transformer insulation Indexes Oils Testing Artificial neural networks

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Analysis on Business Development and Pricing for Electric Vehicle Charging in Indonesia 2021

Analysis on Business Development and Pricing for Electric Ve...

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2021 3rd International Conference on E-Business and E-commerce engineering

作者： Budi Santoso Widodo Wahyu Purwanto Energy System Engineering Study Program Universitas IndonesiaSustainable Energy System and Policy Research Cluster Universitas Indonesia Indonesia Department of Chemical Engineering Universitas IndonesiaSustainable Energy System and Policy Research Cluster Universitas Indonesia Indonesia

ISBN: (纸本)9781450387392

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study of Shared energy Storage Considering Battery Degradation on Remote Island

Study of Shared Energy Storage Considering Battery Degradati...

引用

Green energy, Computing and Sustainable Technology (GECOST), International Conference on

作者： Rishal Asri Hirohisa Aki Daisuke Kodaira Institute of Systems and Information Engineering University of Tsukuba Tsukuba Japan Energy System Engineering Study Program Institut Teknologi Sumatera Lampung Indonesia

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