Electrical Energy Needs Projection of Bangka Belitung Province in 2019-2033 using Fuzzy Logic

Author(s):  
Muhammad Najmi ◽  
Rinaldy Dalimi
2021 ◽  
Vol 104 ◽  
pp. 65-71
Author(s):  
Illa Rizianiza ◽  
Dian Mart Shoodiqin

Batteries have an important thing in development of energy needs. A good performance battery, will support the device it supports. The energy that can save a battery is limited, so the battery will increase its charge and discharge cycles. Incorrect charging and discharging processes can cause battery performance to decrease. Therefore battery management is needed so that the battery can reach the maximum. One aspect of battery management is setting the state which is the ratio of available energy capacitance to maximum energy capacity. One method for estimating load states is the fuzzy logic method, namely by assessing the input and output systems of prediction. Predictor of State of Charge use Mamdani Fuzzy Logic that have temperature and voltage as input variables and State of Charge as output variable. A result of prediction State of Charge battery is represented by the number of Root Mean Square Error. Battery in charge condition has 2.7 for RMSE and level of accuracy 81.5%. Whereas Battery in discharge condition has RMSE 1.5 and level of accuracy 84.7%.


AGROINTEK ◽  
2017 ◽  
Vol 11 (2) ◽  
pp. 75
Author(s):  
Lukman Hidayat ◽  
Fitri Electrika Dewi Surawan ◽  
Arga Harianda Lumban Raja

Increasing demand for Crude Palm Oil (CPO) as the vegetable oil was causing the industry to cultivate palm oil increased, so that the energy required to produce CPO also increased. The purpose of this study is to identify the type, source and calculate the amount of energy needs, calculate the level of efficiency and energy savings opportunities. Stages of the research are  initial energy analysis, a detailed energy, and energy analysis in processing systems. Based on the research results, to produce each kg of CPO processing capacity of 60 ton TBS / hour with a recovery rate of 20.59% of primary energy needs of 16.200679 MJ / kg. Real boiler efficiency of 45.69%, the real efficiency of the turbine was 94, 86%. Turbine efficiency  to generate electrical energy by 1.09%, the technical efficiency of 66.80% turbines, diesel generators technical efficiency of 47.25%, the technical efficiency of electric motors by 59.37%.  The total efficiency  of  electricity  use by 4,75%, the efficiency of diesel estate of 1.379% and the efficiency of the use of steam at 93.77%. Energy can be saved by 0.0442 MJ / kg with a description of human powered energy of 0.0004316 MJ / kg, energy electrical energy by .04372 MJ / kg. While energy can be stored on the excess energy to fuel biomass boiler was 1.45 MJ / kg


2021 ◽  
Author(s):  
Moritz Platt ◽  
Francesco Pierangeli

The consumption of electrical energy is a requisite for ‘proof-of-work’, a class of consensus protocols for decentralised systems. ‘Ethereum’ and ‘Bitcoin’, along with various other cryptocurrencies, use implementations of such a consensus protocol. Among experts, the vast energy demand associated with the rising popularity of cryptocurrencies and the potential impact on climate change have been discussed extensively. It is, however, unclear what attitudes the users of cryptocurrencies themselves have towards the consequences of its growing energy demand. The proposed study aims to answer this question through survey research, using ‘Bitcoin’ as an archetype of a proof-of-work cryptocurrency. Conducting the study will reveal whether cryptocurrency users themselves consider their energy needs to be problematic, and which stakeholders they hold accountable to reduce consumption. The outcome can provide a theoretical grounding in social science for the ongoing implementation of alternative consensus models, for example in the context of the ‘Eth2’ upgrade of the ‘Ethereum’ blockchain.


2012 ◽  
Vol 65 (6) ◽  
pp. 652 ◽  
Author(s):  
David L. Ollis ◽  
Jian-Wei Liu ◽  
Bradley J. Stevenson

Harvesting the energy of sunlight can be achieved with a variety of processes and as one becomes obsolete, others will need to be developed to replace it. The direct conversion of sunlight into electrical energy could be used to provide power. Energy could also be obtained by combusting hydrogen produced by splitting of water with sunlight. None of these direct approaches will entirely satisfy the entire energy needs of a modern economy and the conversion of biological materials into liquid fuels for transport and other applications may prove to be important for tomorrow’s energy needs. In fact, biofuels such as bioethanol and biodiesel are already used in many countries. However, the long-term viability of these fuels depends on the efficiency of the processes used to produce them. We outline here a method by which ethanol can be produced using enzymes that can be optimized for this purpose.


Oceanography ◽  
2010 ◽  
Vol 23 (2) ◽  
pp. 16-21 ◽  
Author(s):  
Robert Thresher ◽  
Walter Musial

2021 ◽  
Vol 927 (1) ◽  
pp. 012006
Author(s):  
Ahmad Munawir Siregar ◽  
Lena Lusiana ◽  
Irza Utami ◽  
Muhammad Fakhruddin

Abstract Electricity consumption in Padang Lawas Regency has increased every year, namely 59,962,000 kWh in 2018, and reached 74,060320,5 kWh in 2020. This increase is in line with the population growth rate so that it also has an impact on land availability. Forecasting electricity consumption absolutely must be done because it greatly affects the distribution and availability of electrical energy. There are three problems related to electrical energy resources. First, the availability of electricity will decrease as demand increases. The second is the increase in population which has an impact on improving the quality of life of the community and the availability of electricity. Third, the increase in land conversion is increasingly massive, causing population density and energy needs in the region to increase. For this reason, it is necessary to project the need for electrical energy for the population and land conversion in Padang Lawas Regency in 2021-2050. The objectives of this study can be used as a basis and choice for policy and strategy making in regional development planning by the Padang Lawas Regional Government. This is done so that the problem of electricity availability can be resolved. This research was conducted using the PowerSim Studio 10 application by simulating a dynamic system model involving several variables that influence each other. The results showed that population variables affect land requirements and total energy consumption. Analysis of electricity availability in Padang Lawas Regency until 2050 will experience an increase in electricity consumption accompanied by an increase in population and land conversion. Based on the results of the simulation scenario, the availability of electricity in Padang Lawas Regency can meet the total electricity consumption needs until 2050, either with or without intervention.


2019 ◽  
Vol 10 (1) ◽  
pp. 84-93
Author(s):  
Redaksi Tim Jurnal

This research discusses the fulfillment of the electricity needs of remote communities that are closely related to electrification ratios. Electrification ratios in some isolated areas and scattered islands in Indonesia are still very low. To date, most of the electricity needs in Indonesia is still supplied by Diesel Power Electricity Generator (PLTD) which uses diesel as its fuel. Therefore, it is necessary the utilization of renewable energy as one step to fulfill the electrical energy needs. This research studies about the utilization of wind energy with PLTB by using low speed wind turbine to fulfill the electricity needs of remote communities and scattered islands in Indonesia. NT1000W is the latest technology of low speed wind turbine that can operate at wind speed of 1 m/d up to 60 m/d appropriate to the wind conditions in Indonesia. Testing conducted in west Sumatera particularly in Padang city and Kapo-Kapo Island provide a feasibility of PLTB NT1000W technically and financially.


2019 ◽  
Vol 17 (1) ◽  
pp. 22-27
Author(s):  
Sifa Fauziah ◽  
Sri Muryani

The need for electrical energy is very dominant for humans, starting from the needs in the household, government business, home industry to large industries and all other aspects of life, now means that the availability of electricity is very important and very influential in increasing the socio-economic quality growth rate society in general. A PLN user to find out how much lamp power is needed in a room judging subjectively that is still in accordance with his own wishes. This writing makes the application using fuzzy logic to find out how much electrical power is used in an appropriate manner. To make it easier for a PLN user to determine the electrical power that is in accordance with the requirements, the author makes the application using fuzzy logic. The programming language used is visual basic. The benefit of this writing is to help a PLN user to optimize electric power so that it can save energy.


2018 ◽  
Vol 6 (1) ◽  
pp. 33-38
Author(s):  
Dinari Gustiana

In the Modern Era, a source of electrical energy is very necessary, given the large number of electronic equipment that really requires a source of electrical energy. Solarcell is a device or component that can convert light energy into electrical energy. However, the energy used in this solar panel needs to be considered the efficiency of its use. Therefore it is necessary to monitor currents and voltages and loads in real time to determine the energy needs of solar panels for lamps. Monitoring of voltage, load and current on this solar panel is based on a microcontroller. The voltage generated by the solar panel and the battery voltage is measured using a sensor. It takes a Web and a modem device to send solar panel measurement data from a distance, with remote monitoring makes it easier to find out what the voltage and load is without having to be in place of the solar panel. Web as a control for lights, blackouts, dim and bright lights, on the web can monitor voltage and current values. The results of the microcontroller ADC are able to send data to the web. The data stored in the ms.excel file contains the voltage from the solar cell, the current at the load and the time when storing and charging the battery. The lights can only last 5 hours when all loads are active (ON), while charging (charging) for 13 hours when the battery is empty.


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