scholarly journals Minimum electrical energy use in a multi-actuator system

2017 ◽  
Author(s):  
Alexey Bodrov ◽  
Eduardo Poupard ◽  
William P. Heath ◽  
Judith Apsley
Keyword(s):  
Energy Use ◽  
Electrical Energy ◽  
Actuator System

Ground Transportation: Road and Rail

2017 ◽  
Author(s):  
Peter Rez
Keyword(s):  
Internal Combustion Engines ◽  
Energy Use ◽  
Rolling Resistance ◽  
Electrical Energy ◽  
Combustion Engines ◽  
Peak Efficiency ◽  
Railroad Tracks ◽  
Air Resistance ◽  
Thin Structure ◽  
Main Disadvantage

Everything that rolls along the ground uses energy to overcome both rolling resistance and air resistance. Air resistance is more significant at higher speeds. Repeated accelerations dominate energy use in stop–start city driving. Not surprisingly, heavy, large SUVs use more energy to go a given distance than lighter, more streamlined cars. Due to the mismatch between the torque required and the rotation rate of the drive wheels, internal combustion engines in cars or trucks do not operate at their peak efficiency. Trains are the most efficient form of ground transportation due to both the lower rolling resistance of steel wheels on railroad tracks and the lower air resistance of its long and thin structure. A further advantage is that rail with fixed tracks can take advantage of the efficient generation of electrical energy. This is also obviously the main disadvantage; trains can only go where tracks have been laid.

The Use of BIM Technology in Analyzing Building Energy and EconomicFeasibility of Solar Panel

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Muhammadiya Rifqi ◽  
Heni Fitriani ◽  
Puteri Kusuma Wardhani
Keyword(s):  
Power Plants ◽  
Energy Use ◽  
Electrical Energy ◽  
Building Energy ◽  
Economic Feasibility ◽  
Information Modeling ◽  
Office Buildings ◽  
Design Stage ◽  
Solar Panels ◽  
Building Information

Buildings contribute more than 40% of world energy consumption, so it is feared that it will cause energy problems in thefuture, especially in the construction sector. One solution to reducing this problem is by analyzing energy use at the initialdesign stage and utilizing solar energy as one of the solar power plants (PLTS) in office buildings. To analyze the use ofenergy in buildings, Building Information Modeling (BIM) was used. The purpose of this research is to analyze the annualenergy level of office buildings in Palembang using BIM software, namely Autodesk Revit. The number of solar panels aswell as the amount of energy were also identified using web-based software (HelioScope) resulting the economic feasibilityas indicated by the installation of solar panels as a component of PV mini-grid. The results showed that the use of BIMtechnology in analyzing building energy can provide a detailed description of the building model at the design stage. Revitanalysis indicates that the building consumed electrical energy per year for about 3,647,713 kWh with a roof area of 1,657m2. In addition, based on the HelioScope analysis, the use of renewable energy from the installation of PLTS was 152,900kWh/year. Meanwhile, for economic feasibility analysis, the installation of PLTS in office buildings can provide a positive NetPresent Value (NPV), indicating a feasible project.

scholarly journals The Effect of Energy Consumption on Output: A Panel Data Study of Manufacturing Industries in Egypt

2020 ◽  
Vol 9 (3) ◽  
pp. 490
Author(s):  
Iman Al-Ayouty
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Manufacturing Sector ◽  
Panel Member ◽  
Electrical Energy ◽  
Petroleum Products ◽  
Manufacturing Industries ◽  
Electrical Machinery ◽  
Output Elasticity ◽  
Energy Products

Subsidizing electricity and non-electrical energy products has affected manufacturing output in Egypt, especially given the structure of Egypt’s manufacturing sector which leaning heavily towards capital- and energy-intensive products. This effect is captured in a production function estimated for the twenty industries making up Egypt’s manufacturing sector over the period 2002-2016. With homogeneous parameters, the estimated output elasticity of energy is 0.28. With panel member parameter heterogeneity, the output elasticity of energy is positive and statistically significant in ten manufacturing industries. Negative and statistically significant elasticity is however found in refined petroleum products, fabricated metal products, and electrical machinery and equipment. This indicates suboptimal energy use. Elasticity is also negative, though statistically insignificant, in: textiles, basic metals, and “other manufacturing”. Except for “other manufacturing”, industries of negative elasticity are all energy-intensive.  Moreover, refined petroleum, fabricated metals and basic metals are pollution-intensive. A priority policy measure is to remove subsidies from energy inefficient and polluting industries as opposed to mere ‘across-the-board’ removal. Keywords: energy consumption; manufacturing industries; energy- and pollution intensive; Egypt

scholarly journals Design of Power Monitoring and Electrical Control Systems to Support Energy Conservation

2021 ◽  
Vol 58 (S) ◽  
pp. 1-7
Author(s):  
Fransiscus Yudi Limpraptono ◽  
Eko Nurcahyo ◽  
Mochammad Ibrahim Ashari ◽  
Erkata Yandri ◽  
Yahya Jani
Keyword(s):  
Monitoring System ◽  
Fossil Fuels ◽  
Energy Use ◽  
Electrical Power ◽  
Electrical Energy ◽  
Raspberry Pi ◽  
Power Monitoring ◽  
Increasing Demand ◽  
Electrical Loads ◽  
Control And Monitoring System

The increasing demand for electrical energy and the decreasing supply of fossil fuels in recent years have increased the cost of electrical energy. So that the culture of saving electrical energy is a habit that must be cultivated in the community. On the other hand, energy-saving behavior cannot be realized massively without a support system that can control energy use. With these concerns, it is necessary to develop a method that encourages a culture of saving electrical energy. This paper proposes a system that supports active energy efficiency methods that can support an energy-efficient culture. This system is an electric power monitoring system that is integrated with a smart electrical panel that continuously monitors the use of electrical energy and can control electrical loads automatically, record electricity usage, provide comprehensive reports and analyze energy usage. The method used to carry out this research is research and development. This research has produced a prototype of electrical power control and monitoring system that has a smart panel based on a raspberry PI 3 and PZEM-004t power energy meter. The monitoring system performs and executes automatic control of electrical loads. The system can also provide reports in the form of data monitoring in daily, weekly, monthly or annual period. From the test results, it can be concluded that the system can work well. This research is expected to contribute to providing a system that can support government efforts in saving energy.

scholarly journals Optimalisasi Stand-Alone Photovoltaic System dengan Implementasi Algoritma P&O-Fuzzy MPPT

2018 ◽  
Vol 10 (1) ◽  
pp. 1-10
Author(s):  
Dimas Juniyanto ◽  
Tatyantoro Andrasto ◽  
Suryono Suryono
Keyword(s):  
Renewable Energy ◽  
Energy Use ◽  
Hardware Implementation ◽  
Electrical Energy ◽  
Buck Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Panels ◽  
Fuzzy Algorithm ◽  
Point Tracking

The need for electrical energy continues to increase every time. Concerns about the depletion of fossil energy reserves encourage the acceleration of the development of renewable energy use. One of renewable energy is the solar energy. Due to the irreversible irradiation conditions, it takes controls to keep the solar panel's maximum power. The most widely in Maximum Power Point Tracking (MMPT) is Perturb Algorithm and Observe (P&O) but P&O Algorithm has deficiency of oscillations when steady state and MPP trace errors when irradiation changes rapidly. In this paper proposed P & O-Fuzzy algorithm is a modification of conventional P & O to improve the efficiency of solar panels. This research uses Matlab for simulation and hardware implementation using microcontroller Arduino Uno and buck converter topology. The result of simulation and hardware implementation, conventional P & O has an average efficiency of 85.03% while MPPT modification with P & O-Fuzzy algorithm can improve MPP tracking efficiency with 89.67%.

Demand-Side Response Smart Grid Technique for Optimized Energy Use

2011 ◽  
pp. 137-163 ◽  
Author(s):  
Fouad Kamel ◽  
Marwan Marwan
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Electricity Market ◽  
Energy Use ◽  
Combustion Engine ◽  
Renewable Energy Sources ◽  
Management Strategies ◽  
Electrical Energy ◽  
Electricity System ◽  
Time Price

The chapter describes a dynamic smart grid concept that enables electricity end-users to be acting on controlling, shifting, or curtailing own demand to avoid peak-demand conditions according to information received about electricity market conditions over the Internet. Computer-controlled switches are used to give users the ability to control and curtail demand on a user’s premises as necessary, following a preset user’s preferences. The computerized switching provides the ability to accommodate local renewable energy sources as available. The concept offers further the ability to integrate charging electrical vehicles during off-peak periods, helping thus substantially improving the utilization of the whole electricity system. The approach is pursuing improved use of electrical energy associated with improved energy management, reduced electricity prices and reduced pollution caused by excessive use of combustion engine in transport. The technique is inherently restricted to take effect in frame of energy tariff regimes based on real-time price made to encourage and reward conscious users being proactively participating in holistic energy management strategies.

scholarly journals Transport emissions and electric mobility in private transport in the Republic of Slovenia

2018 ◽  
Vol 12 (2) ◽  
pp. 98-103
Author(s):  
Simon Muhič ◽  
Mladen Bošnjaković
Keyword(s):  
Internal Combustion Engines ◽  
Energy Use ◽  
Electrical Energy ◽  
Road Transport ◽  
Primary Energy ◽  
Electric Mobility ◽  
Electric Cars ◽  
Research Problems ◽  
The Republic ◽  
Energy Chain

Since the ratification of the Kyoto Protocol more and more emphasis is laid on reducing greenhouse gas emissions. The article analyses the feasibility of introducing electric vehicles into traffic rather than vehicles with internal combustion engines. From standpoint of emission sources use of electricity for transport is analysed with stress on private cars and typical emissions from power sector by energy conversion in Slovenia. Results of research shows that electric car has a little more than twice better efficiency of the primary energy use, taking into account only efficiency in the energy chain. Electric mobility brings a more efficient use of energy in road transport with demand to reduce emission at power generation. So presented number can vary greatly, depending on the electrical energy source. In the present research problems connected with immediate initiation of the electric cars are not analysed.

Development of Hybrid Artificial Neural Network for Quantifying Energy Saving using Measurement and Verification

2017 ◽  
Vol 8 (1) ◽  
pp. 137
Author(s):  
Wan n Nazirah Wan Md Adna ◽  
Nofri Yenita Dahlan ◽  
Ismail Musirin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Energy Use ◽  
Model Development ◽  
Operating Time ◽  
Electrical Energy ◽  
Measurement And Verification ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Hybrid Artificial Neural Network

This paper presents a Hybrid Artificial Neural Network (HANN) for chiller system Measurement and Verification (M&V) model development. In this work, hybridization of Evolutionary Programming (EP) and Artificial Neural Network (ANN) are considered in modeling the baseline electrical energy consumption for a chiller system hence quantifying saving. EP with coefficient of correlation (R) objective function is used in optimizing the neural network training process and selecting the optimal values of ANN initial weights and biases. Three inputs that are affecting energy use of the chiller system are selected; 1) operating time, 2) refrigerant tonnage and 3) differential temperature. The output is hourly energy use of building air-conditioning system. The HANN model is simulated with 16 different structures and the results reveal that all HANN structures produce higher prediction performance with R is above 0.977. The best structure with the highest value of R is selected as the baseline model hence is used to determine the saving. The avoided energy calculated from this model is 132944.59 kWh that contributes to 1.38% of saving percentage.

Analysis of Electrical Energy Savings From Daylighting Through Skylights

Solar Energy ◽  
2005 ◽  
Author(s):  
Abdelkarim Nemri ◽  
Moncef Krarti
Keyword(s):  
Energy Use ◽  
Energy Savings ◽  
Simulation Analysis ◽  
Control Strategies ◽  
Electrical Energy ◽  
Office Building ◽  
Analysis Tool ◽  
Energy Saving Potential ◽  
Lighting Energy ◽  
The Impact

This paper provides a simplified analysis tool to assess the energy saving potential of daylighting for commercial buildings through skylights. Specifically, the impact of daylighting is investigated for various fenestration opening sizes, glazing types, control strategies, and geographic locations. A top floor of a prototypical office building has been considered in the analysis. The results obtained for the office building can be applied to other types of buildings such as retails stores, schools, and warehouses. Based on the simulation analysis results, it was determined that skylight to floor ratio more than 0.3 does not affect significantly the lighting energy savings. An optimum value of skylight to floor area ratio was found to be 0.2 to minimize the annual total building energy use.

scholarly journals Determining the Carbon Footprint and Emission Hotspots for the Wine Produced in Cyprus

Atmosphere ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 463
Author(s):  
Vassilis D. Litskas ◽  
Nikolaos Tzortzakis ◽  
Menelaos C. Stavrinides
Keyword(s):  
Carbon Footprint ◽  
Rural Areas ◽  
Energy Use ◽  
Ghg Emissions ◽  
Electrical Energy ◽  
Drastic Reduction ◽  
Wine Production ◽  
Essential Step ◽  
Mediterranean Regions

International agreements and policies on climate change urge for a drastic reduction in greenhouse gas (GHG) emissions to prevent a temperature rise above 2 °C at the end of the century. Determination of the product carbon footprint (CF), identifying carbon hotspots and examining ways for CF reduction is an essential step towards mitigation actions. Viticulture and winemaking are very important for the economy of Mediterranean regions, especially for the sustainability of rural areas. To determine the CF for wine, the Life Cycle Assessment (LCA) approach was adopted with system boundaries from vineyard to market. Input data were collected from 20 vineyards on the island of Cyprus, where the indigenous Xynisteri variety is cultivated and from an SME winery that uses the grapes to produce wine. The winery CF was 99,586 kg CO2-eq for 76,000 bottles produced (1.31 kg/0.75 L bottle). The uncertainty factor was determined to be ±50%, which was considered adequate for the methodology followed. The share of electrical energy was 46%, of packaging 18% and of the vineyard 16%. Fuel (transportation and heating), as well as waste management (solid and wastewater) contributed 10% each to the CF. There is potential for mitigation of the CF by replacing the bottles currently used by lighter ones, lowering the energy use and reusing a part of the solid waste as fertilizer. Research towards eco-innovation of viticulture/winemaking is essential for reducing the footprint of the sector to promote sustainable wine production.

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