scholarly journals Performance and Energy Consumption of Paddle Wheel Aerator Driven by Brushless DC Motor and AC Motor: A Preliminary Study

2021 ◽  
Vol 934 (1) ◽  
pp. 012010
Author(s):  
Ahmat Fauzi ◽  
W T Handoyo ◽  
A R Hakim ◽  
F Hidayat
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Electrical Energy ◽  
Maximum Efficiency ◽  
Bldc Motor ◽  
Electric Motors ◽  
Paddle Wheel ◽  
Brushless Dc ◽  
Reliability Parameters ◽  
Ac Motor

Abstract Energy demand for paddle wheel aerator in a shrimp pond is high and brings to second highest cost of operational behind feed supply. Most of wheel aerators are driven by electric motors than diesel engines as their easy operations. The electric motors need high electrical energy to drive wheel aerators along day and night. The common type of motor used is Alternating Current (AC) or induction motor, however Brushless Direct Current (BLDC) motor has potential electrical energy saving which need to be explored. This study objectives to find out performance of BLDC and AC motor as paddle wheel aerator driver. The motor’s performances were compared in term of operation of paddle wheel at various static loads. Both motor also challenged by On/Off running every 5 minutes, the treatment goal was to determine their reliability. Parameters observed included consumption of power, wheel rotary, torque, and efficiency, motor temperature as well. Results showed energy consumption of BLDC motor 51% lower than AC motor, and BLDC motor attained 89.99% of maximum efficiency while AC motor efficiency had 73.16%, however rotary wheel and torque both of them were similar. The On/Off treatment caused rising temperature of AC motor but did not affect the temperature of BLDC motor. Therefore, applied BLDC motor as paddle wheel aerator driver could be alternative way to reduce energy consumption without reducing its performance.

scholarly journals Present Situation of Electrical Energy Demand, Supply, Projection of Demand-supply and Renewable Energy Utilization and Progress

2020 ◽  
Author(s):  
Md Nazmul Islam
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Demand ◽  
Electrical Energy ◽  
Present Situation ◽  
Energy Utilization ◽  
Economic Activities ◽  
Power Development ◽  
Per Capita ◽  
Renewable Energy Generation

<p>A brief overview of present electricity demand, supply, projection of them and renewable energy generation and progress has been presented in this paper. Electricity is the major source of power for most of the country's economic activities. According to the Bangladesh Power Development Board in July 2018, 90 percent of the population had access to electricity. However per capita energy consumption in Bangladesh is considered low. The country has a very limited energy reserve; small amounts of oil, coal and countable natural gas reserves. The country suffers an internal energy struggle, as about 88% of the country’s power producing thermal plants are gas-based. To solve this problem, renewable energy is being used.</p>

scholarly journals Present Situation of Electrical Energy Demand, Supply, Projection of Demand-supply and Renewable Energy Utilization and Progress

2020 ◽  
Author(s):  
Md Nazmul Islam
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Demand ◽  
Electrical Energy ◽  
Present Situation ◽  
Energy Utilization ◽  
Economic Activities ◽  
Power Development ◽  
Per Capita ◽  
Renewable Energy Generation

<p>A brief overview of present electricity demand, supply, projection of them and renewable energy generation and progress has been presented in this paper. Electricity is the major source of power for most of the country's economic activities. According to the Bangladesh Power Development Board in July 2018, 90 percent of the population had access to electricity. However per capita energy consumption in Bangladesh is considered low. The country has a very limited energy reserve; small amounts of oil, coal and countable natural gas reserves. The country suffers an internal energy struggle, as about 88% of the country’s power producing thermal plants are gas-based. To solve this problem, renewable energy is being used.</p>

Regenerative Braking of Electric Vehicle with Brushless DC Motor

2015 ◽  
Vol 785 ◽  
pp. 280-284
Author(s):  
Aidha Muhammad Ajmal ◽  
V.K. Ramachandaramurthy
Keyword(s):  
Storage System ◽  
Cost Effective ◽  
Electrical Energy ◽  
Regenerative Braking ◽  
Bldc Motor ◽  
Market Prices ◽  
Brushless Dc ◽  
Energy Flows ◽  
Current Controller ◽  
Efficient Performance

Given the volatile market prices and impending reduction in fuel supplies, electric vehicles (EV) have drawn increasing attention. The electric motor in EVs is an important component because it functions as an engine during acceleration and as a generator during deceleration or braking. Energy is saved in these processes when the kinetic energy is converted into electrical energy, which is then stored in a storage system by a regenerative braking system (RBS). In terms of highly efficient performance, ideal torque and speed, high-powered density, and cost-effective maintenance, brushless DC (BLDC) motors are preferred. This paper aims to explore and propose a seamless and effective method of RBS for a BLDC motor in an EV. In braking mode, the proposed method change the motor to act as a generator even without any additional converter, ultra-capacitor, or a complex winding-changeover technique. In this mechanism, the energy flows to the DC side. By using MATLAB/SIMULINK, the BLDC motor with speed and current controller is simulated. Accordingly, in the deceleration or braking mode, the motor functions as a generator and transports the power to the DC side. The proposed model is validated in both starting or no-load and load conditions.

scholarly journals Coupling simulation with artificial neural networks for the optimisation of HVAC controls in manufacturing environments

2020 ◽  
Author(s):  
Victoria Jayne Mawson ◽  
Ben Richard Hughes
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Energy Demand ◽  
Large Data ◽  
Electrical Energy ◽  
Building Energy ◽  
Machine Learning Algorithms ◽  
Data Sets ◽  
Unseen Data ◽  
Manufacturing Environments

Abstract Manufacturing remains one of the most energy intensive sectors, additionally, the energy used within buildings for heating, ventilation and air conditioning (HVAC) is responsible for almost half of the UK’s energy demand. Commonly, these are analysed in isolation from one another. Use of machine learning is gaining popularity due to its ability to solve non-linear problems with large data sets and little knowledge about relationships between parameters. Such models use relationships between inputs and outputs to make further predictions on unseen data, without requiring any understanding regarding the system, making them highly suited to dealing with the stochastic data sets found in a manufacturing environment. This has been seen in literature for determining electrical energy demand for residential or commercial buildings, rather than manufacturing environments. This study proposes a novel method of coupling simulation with machine learning to predict indoor workshop conditions and building energy demand, in response to production schedules, outdoor conditions, building behaviour and use. Such predictions can subsequently allow for more efficient management of HVAC systems. Based upon predicted energy consumption, potential spikes were identified and manufacturing schedules subsequently optimised to reduce peak energy demand. Coupling simulation techniques with machine learning algorithms eliminates the requirement for costly and intrusive methods of data collection, providing a method of predicting and optimising building energy consumption in the manufacturing sector.

scholarly journals Cost-Benefit Analysis of Hybrid Photovoltaic/Thermal Collectors in a Nearly Zero-Energy Building

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1582 ◽  
Author(s):  
Conti ◽  
Schito ◽  
Testi
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Electrical Energy ◽  
Energy System ◽  
Primary Energy ◽  
Hot Water ◽  
Solar Thermal ◽  
Primary Energy Consumption ◽  
Solar Thermal Energy ◽  
Zero Energy

This paper analyzes the use of hybrid photovoltaic/thermal (PVT) collectors in nearly zero-energy buildings (NZEBs). We present a design methodology based on the dynamic simulation of the whole energy system, which includes the building energy demand, a reversible heat pump as generator, the thermal storage, the power exchange with the grid, and both thermal and electrical energy production by solar collectors. An exhaustive search of the best equipment sizing and design is performed to minimize both the total costs and the non-renewable primary energy consumption over the system lifetime. The results show that photovoltaic/thermal technology reduces the non-renewable primary energy consumption below the nearly zero-energy threshold value, assumed as 15 kWh/(m2·yr), also reducing the total costs with respect to a non-solar solution (up to 8%). As expected, several possible optimal designs exist, with an opposite trend between energy savings and total costs. In all these optimal configurations, we figure out that photovoltaic/thermal technology favors the production of electrical energy with respect to the thermal one, which mainly occurs during the summer to meet the domestic hot water requirements and lower the temperature of the collectors. Finally, we show that, for a given solar area, photovoltaic/thermal technology leads to a higher reduction of the non-renewable primary energy and to a higher production of solar thermal energy with respect to a traditional separate production employing photovoltaic (PV) modules and solar thermal (ST) collectors.

scholarly journals Electrical Energy Demand Planning in District Mlati Sleman Yogyakarta Year 2014 – 2020

KnE Energy ◽  
2015 ◽  
Vol 2 (2) ◽  
pp. 37
Author(s):  
Danang Ario R ◽  
Irma Lelawati ◽  
Bernando . ◽  
Prihastomo Triaji
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Demand ◽  
Rapid Development ◽  
Electrical Energy ◽  
Industrial Sector ◽  
Planning System ◽  
Demand Planning ◽  
Consumption Energy ◽  
Growth Energy

<p>Mlati subdistrict, Sleman is one area in Yogyakarta, which has potential for very rapid development. Residents of Mlati are immigrants who mostly are students who are studying in Yogykarta. It can give us potential in planning of electrical energy demand. In event of an energy crisis, it will hinder economic growth in industrial sector, commercial, business, public services which would certainly hamper improvement of social welfare. From data of population and economic growth, energy consumption profile, then using software LEAP (Long-range Energy Alternative Planning system) that can be predicted by a pattern on the allocation of necessary electrical energy. Aim of this paper is planning availability electricity demand using LEAP in District Mlati 2020. </p><p><strong>Keywords</strong>: energy consumption; energy demand; LEAP.</p>

Effects of surface reflectance and lighting design strategies on energy consumption and visual comfort

2018 ◽  
Vol 28 (4) ◽  
pp. 552-563 ◽  
Author(s):  
Nastaran Makaremi ◽  
Samuele Schiavoni ◽  
Anna L. Pisello ◽  
Franco Cotana
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Electrical Energy ◽  
Lighting Design ◽  
Comfort Level ◽  
Design Solution ◽  
Surface Finishing ◽  
Surface Reflectance ◽  
Visual Comfort ◽  
Design Strategies

Globally, artificial lighting accounts for a considerable part of electrical energy consumption in buildings. Hence, there is a need to design appropriate lighting scenarios for buildings in a way to reduce energy while meeting visual comfort requirements. This research aims to investigate the effects of applying different design strategies on lighting energy use and visual comfort level. Surface finishing reflectance, type, number and mounting height of luminaires are variables in the study. Lighting design software DIALux evo 7.0 provides simulations of a real scale room according to different scenarios whose models were calibrated and validated using experimental field data. The findings indicate that the type of luminaire is the most decisive parameter in quantity and quality of light in an indoor environment. However, increasing the indoor surface reflectance plays a key role in improving energy efficiency and visual comfort. The results show the possibility of electrical energy savings up to 45% by increasing surface reflectance properties. Finally, this paper stresses that there is no single design solution to guarantee both low energy demand and high visual quality, therefore integrating different strategies based on the type of task and the occupant’s activities is highly recommended.

Future of Renewable Energy Use in Pakistan in the Context of Agrifood-Energy Nexus

2020 ◽  
Vol 15 (3) ◽  
pp. 49-56
Author(s):  
Ramchandra Bhandari ◽  
Bhunesh Kumar
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Demand ◽  
Crop Production ◽  
Energy Use ◽  
Agricultural Sector ◽  
Energy Resource ◽  
Electrical Energy ◽  
Vital Role ◽  
Poultry Production

 Pakistan is facing a serious energy supply problem due to lack of energy that results in a shortfall of power supply from 6–10 hours/day, especially outside the big cities. The energy demand is expected to increase in every sector such as industrial, agricultural, household and transport in the years ahead due to population growth, economic development and modern lifestyle. Agricultural sector plays a vital role in the country’s economy contributing around 20% share in GDP. At present the direct energy consumption in the agricultural sector is 2%. To avoid a worse situation in the future years renewable energy resource potential exploitation is needed. This requires also proper planning and implementation of energy policies. In this work present and future electrical energy consumption, demand and supply gap of the country is presented. A sustainable agricultural productive system has become a major priority to maintain food security for the increasing population. Both direct and indirect electrical and energy consumption has emerged in agrifood sector with farm machinery, production, packing and transport of fertilizers, food processing and transport, crop production, animal product production, poultry production, etc. In addition to this excel based model is developed to integrate the renewable energy into the agrifood – energy nexus supply chain and to fulfil the current and future energy demand of the sector.

Control system for optimization of productivity and energy demand of batch-type centrifugals

2015 ◽  
pp. 217-223
Author(s):  
Dirk Seebaum ◽  
Anne Seidler ◽  
Sven Weidner ◽  
Bernd Brennecke
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Energy Demand ◽  
Reactive Power ◽  
Electrical Power ◽  
Capacity Utilization ◽  
Electrical Energy ◽  
Energy System ◽  
Total Energy Consumption ◽  
Batch Type

The demand for highest throughput at the best possible energy consumption are two of the main factors in designing and selecting batch-type centrifugals. While the first can be achieved by the size of centrifugals and electrical drives, the latter might be affected negatively if the demand for electrical energy is not controlled and managed properly. Besides the total energy consumption of the system, the demand pattern for electrical power might cause further requirements to local power supply or to the grid. This might lead to fluctuations in the energy supply with impact on the power house or the energy billing. Standard ways of interlocking the drives of multiple centrifugal stations can minimize these requirements but lead to reduced capacity utilization. Another common way to save energy is the operation of regenerative drive modules that allow supply of electrical energy back into the power network during deceleration. To avoid power problems like harmonic issues, reactive power, etc., with potentially costly electrical equipment malfunctions, the use of additional electrical components (conditioners, filters) for correction and reduction is advised. In a recent installation, an innovative approach to optimize power demand and reduce peak power was successfully introduced by BMA Automation. To minimize the issues mentioned above, a joint energy system for a multiple centrifugal station was created. Using the latest technology drive modules, yield was optimized by maintaining and exchanging the energy within the system. A superior control system was developed to allow for energy or productivity optimized operation of the centrifugals. The solution can be applied to both new systems and retrofit solutions for existing batch-type centrifugals.

scholarly journals Energy Consumption of Beverage-Bottling Machines

2021 ◽  
Vol 13 (17) ◽  
pp. 9880
Author(s):  
Isabel Anna Osterroth ◽  
Tobias Voigt
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Cost Allocation ◽  
Electrical Energy ◽  
Energy Performance ◽  
Frequency Distributions ◽  
Consumption Behavior ◽  
Beverage Industry ◽  
Discrete Values ◽  
Generic Description

Sustainability is a megatrend influencing the beverage industry. Knowledge of the consumption behavior and suitable metrics are required for energy optimization strategies. Machine efficiency and energy consumption are intermixed in common parameters, e.g., customary specifications refer to the energy consumption for a specific number of products (e.g., kWh/1000 fillings). This does not reflect the influence that inevitable breakdown times have on the energy consumption (e.g., malfunction, lack, and tailback situations within the material flow). While specific energy performance indicators are useful as a benchmark, it does not provide reliable information to verify plant specifications, or to have a source-related cost allocation as a basis for a weak point analysis. In this work, energy and operational data were analyzed, in order to find a generic description of the operational-state related consumption behavior. Therefore, empirical data on the effective electrical energy and operational state data were collected on machine level of two representative bottling plants and for additional single machines. In the frequency distributions of the discrete values of the measured electrical energy data, three main peaks were found. These can be correlated to operational states such as state-related energy demand level. The change from one demand level to another was found to be reproducible.

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