scholarly journals State of the Art of Electricity Generation (2007-2017)

2019 ◽  
Vol 119 ◽  
pp. 00019
Author(s):  
Diana Enescu ◽  
Giovanni Vincenzo Fracastoro ◽  
Bruno Panella ◽  
Filippo Spertino
Keyword(s):  
Energy Consumption ◽  
Electricity Generation ◽  
Nuclear Power ◽  
Fossil Fuels ◽  
State Of The Art ◽  
The State ◽  
Electricity Production ◽  
Emerging Trends ◽  
World Energy ◽  
World Energy Consumption

The statistics for world energy consumption and electricity production in the last decade are presented to highlight the increment of the electricity share, compared to thermal usages and transportation, in the energy sector. The main technologies for electricity production from fossil fuels and nuclear power are summarised, indicating their characteristics, current plants, and emerging trends. Finally, the state of the art, regarding the technical applications of photovoltaic (PV) generators and wind turbines (WT), is presented.

scholarly journals Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 344
Author(s):  
Alejandro Humberto García Ruiz ◽  
Salvador Ibarra Martínez ◽  
José Antonio Castán Rocha ◽  
Jesús David Terán Villanueva ◽  
Julio Laria Menchaca ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Energy Saving ◽  
User Satisfaction ◽  
Air Conditioning ◽  
State Of The Art ◽  
User Preferences ◽  
The State ◽  
Nsga Ii ◽  
Air Conditioning System

Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization algorithms. The algorithms are a genetic algorithm (GA), implemented from the state of the art, and a non-dominated sorting genetic algorithm II (NSGA II) proposed in this paper; these algorithms control an air conditioning system considering user preferences. It is worth noting that we made several modifications to the objective function’s definition to make it more robust. The energy-saving optimization is essential to reduce CO2 emissions and economic costs; on the other hand, it is desirable for the user to feel comfortable, yet it will entail a higher energy consumption. Thus, we integrate user preferences with energy-saving on a single weighted function and a Pareto bi-objective problem to increase user satisfaction and decrease electrical energy consumption. To assess the experimentation, we constructed a simulator by training a backpropagation neural network with real data from a laboratory’s air conditioning system. According to the results, we conclude that NSGA II provides better results than the state of the art (GA) regarding user preferences and energy-saving.

Application of Statistical Taguchi Method to Optimize Main Elements in the Residential Buildings in Malaysia Based Energy Consumption

2014 ◽  
Vol 606 ◽  
pp. 265-269 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Milad Hatami ◽  
Ali Asghar Bavafa ◽  
Kambiz Ghafourian ◽  
Jafri Mohd Rohani
Keyword(s):  
Energy Consumption ◽  
Taguchi Method ◽  
Residential Buildings ◽  
Controversial Issues ◽  
Upward Trend ◽  
Warming Climate ◽  
World Energy ◽  
Optimum Energy ◽  
Temperature And Pressure ◽  
World Energy Consumption

Today energy consumption is one of the controversial issues in the world. The rapid growing world energy consumption has already increased concern about the supply problems, heavy environmental effects such as global warming, climate change and etc. One of the most users of energy is residential buildings that consume the biggest share of energy. Growth in population, rising demand for buildings together causes to increase the upward trend in energy consumption. Therefore, energy efficiency in buildings plays a significant role to decrease the environmental effect. The goal of this paper is optimizing the main elements which are window, ceiling and wall by considering the effect of uncontrollable factors such as humidity , temperature and pressure in residential buildings using statistical method namely Taguchi method (JMP 11 software). A two-storey house in Malaysia was selected to simulate by means of BIM application. Based on the result, the optimum energy saving will be achieved when the type of material which are used for wall ,ceiling and window to be Brick Plaster , Acoustic Tile Suspended and Single Glazed Alum Frame respectively.

scholarly journals Two Is Not Enough: Privacy Assessment of Aggregation Schemes in Smart Metering

2017 ◽  
Vol 2017 (4) ◽  
pp. 198-214 ◽  
Author(s):  
Niklas Buescher ◽  
Spyros Boukoros ◽  
Stefan Bauregger ◽  
Stefan Katzenbeisser
Keyword(s):  
Energy Consumption ◽  
Personal Data ◽  
Smart Meters ◽  
Trade Off ◽  
World Energy ◽  
Protection Mechanisms ◽  
Significant Probability ◽  
Aggregation Scheme ◽  
Energy Provider ◽  
World Energy Consumption

Abstract The widespread deployment of smart meters that frequently report energy consumption information, is a known threat to consumers’ privacy. Many promising privacy protection mechanisms based on secure aggregation schemes have been proposed. Even though these schemes are cryptographically secure, the energy provider has access to the plaintext aggregated power consumption. A privacy trade-off exists between the size of the aggregation scheme and the personal data that might be leaked, where smaller aggregation sizes leak more personal data. Recently, a UK industrial body has studied this privacy trade-off and identified that two smart meters forming an aggregate, are sufficient to achieve privacy. In this work, we challenge this study and investigate which aggregation sizes are sufficient to achieve privacy in the smart grid. Therefore, we propose a flexible, yet formal privacy metric using a cryptographic game based definition. Studying publicly-available, real world energy consumption datasets with various temporal resolutions, ranging from minutes to hourly intervals, we show that a typical household can be identified with very high probability. For example, we observe a 50% advantage over random guessing in identifying households for an aggregation size of 20 households with a 15-minutes reporting interval. Furthermore, our results indicate that single appliances can be identified with significant probability in aggregation sizes up to 10 households.

The Siren Song of Renewable Energy

2014 ◽  
Author(s):  
Michael H. Fox
Keyword(s):  
Renewable Energy ◽  
Nuclear Power ◽  
Fossil Fuels ◽  
Rocky Mountain ◽  
Electricity Production ◽  
The Sun ◽  
Solar Panels ◽  
Water Heater ◽  
Pv System ◽  
Energy Needs

Renewable energy from the sun—which includes solar, wind, and water energy— can meet all of our energy needs and will allow us to eliminate our dependence on fossil fuels for electricity production. At least, that is the “Siren song” that seduces many people. Amory Lovins, the head of the Rocky Mountain Institute, has been one of the strongest proponents of getting all of our energy from renewable sources (what he calls “soft energy paths”) (1) and one of the most vociferous opponents of nuclear power. A recent article in Scientific American proposes that the entire world’s needs for power can be supplied by wind, solar, and water (2). Is this truly the nirvana of unlimited and pollution-free energy? Can we have our cake and eat it, too? Let’s take a critical look at the issues surrounding solar and wind power. Let me be clear that I am a proponent of solar energy. I built a mountain cabin a few years ago that is entirely off the grid. All of the electricity comes from solar photovoltaic (PV) panels with battery storage. The 24 volt DC is converted to AC with an inverter and is fed into a conventional electrical panel. It provides enough energy to power the lights, run a 240 volt, three-quarter horsepower water pump 320 feet deep in the well, and electrical appliances such as a coffee pot, toaster, and vacuum cleaner. But I am not implying that all of my energy needs come from solar. The big energy hogs—kitchen range, hot water heater, and a stove in the bedroom—are all powered with propane. Solar is not adequate to power these appliances. In 2010 I also had a 2.5 kW solar PV system installed on my house that ties into the utility grid. When the sun is shining, I use the electricity from the solar panels, and if I use less than I generate, it goes out on the grid to other users. If it does not produce enough for my needs, then I buy electricity from the grid.

The Use of Renewable Energy in the Form of Methane Via Electrolytic Hydrogen Generation / Zastosowanie Odnawialnej Energii W Formie Metanu Na Drodze Elektrolitycznej Produkcji Wodoru

2013 ◽  
Vol 58 (1) ◽  
pp. 231-239 ◽  
Author(s):  
K. Hashimoto ◽  
N. Kumagai ◽  
K. Izumiya ◽  
H. Takano ◽  
P.R. Zabinski ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Hydrogen Generation ◽  
Industrial Applications ◽  
World Energy ◽  
Electrolytic Hydrogen ◽  
World Energy Consumption ◽  
Global Carbon ◽  
Seawater Electrolysis

Extrapolation of world energy consumption from 1990 to 2010 indicates the complete exhaustion of world reserves of oil, natural gas, uranium and coal by 2040, 2043, 2046 and 2053, respectively. For the survival of all people in the whole world, intermittent and fluctuating electricity generated from renewable energy should be supplied in the form of usable fuel to all people in the whole world. We have been working on research and development of global carbon dioxide recycling for the use of renewable energy in the form of methane via electrolytic hydrogen generation using carbon dioxide as the feedstock. We created energy-saving cathodes for hydrogen production, anodes for oxygen evolution without chlorine formation in seawater electrolysis, and catalysts for methanation of carbon dioxide and built pilot plants of industrial scale. Recent advances in materials are described. Industrial applications are in progress.

Hydrogen: A Very Promising Energy Carrier for the Future

2002 ◽  
Author(s):  
Xenophon K. Kakatsios
Keyword(s):  
Energy Consumption ◽  
Nuclear Power ◽  
Fossil Fuels ◽  
Global Climate ◽  
Clean Energy ◽  
Energy System ◽  
Primary Energy ◽  
Energy Carrier ◽  
Current Status ◽  
The Future

As we enter the new century, new fuels may be required for both stationary power and transportation to ameliorate the triple threats of local air pollution, global climate change and dependence on unstable nations for imported oil. Shifting away from fossil fuels may be essential within decades if citizens in the developing world achieve even a significant fraction of the per capita energy consumption enjoyed by the industrial nations. Business-as-usual or evolutionary shifts in energy consumption patterns may not be adequate. New paradigms and new energy initiatives may be required to protect the environment while providing the energy services we have come to expect. Hydrogen could play a significant role as a clean energy carrier in the future for both stationary and transportation markets. Produced from renewable energy or nuclear power, hydrogen could become the backbone of a truly sustainable energy future – an energy system that consumes no non-renewable resources and creates no pollution or greenhouse gases of any type during operation. However, to achieve this potential, hydrogen must overcome serious economic, technological and safety perception barriers before it can displace fossil fuels as the primary energy carrier throughout the world. In this paper we explore the current status of hydrogen and fuel cell systems compared to other fuel options for reducing pollution, greenhouse gas emissions and suggest the introduction of hydrogen into the energy economy.

TA-MCF: Thermal-Aware Fluid Scheduling for Mixed-Criticality System

2018 ◽  
Vol 28 (02) ◽  
pp. 1950029 ◽  
Author(s):  
Tiantian Li ◽  
Tianyu Zhang ◽  
Ge Yu ◽  
Yichuan Zhang ◽  
Jie Song
Keyword(s):  
Energy Consumption ◽  
State Of The Art ◽  
Schedulability Analysis ◽  
Leakage Power ◽  
The State ◽  
Effect Of Temperature ◽  
Processing Capacity ◽  
Energy Aware ◽  
Fluid Scheduling ◽  
Mixed Criticality

Fluid scheduling allows tasks to be allocated with fractional processing capacity, which significantly improves the schedulability performance. For dual-criticality systems (DCS), dual-rate fluid-based scheduling has been widely studied, e.g., the state-of-the-art approaches mixed-criticality fluid scheduling (MCF) and MC-Sort. However, most of the existing works on DCS either only focus on the schedulability analysis or minimize the energy consumption treating leakage power as a constant. To this end, this paper considers the effect of temperature on leakage power and proposes a thermal and power aware fluid scheduling strategy, referred to as thermal and energy aware (TA)-MCF which minimizes both the energy consumption and temperature, while ensuring a comparable schedulability ratio compared with the MCF and MC-Sort. Extensive experiments validate the efficiency of TA-MCF.

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