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Energy-Efficient Buildings, a step towards Sustainability in Pakistan
109-124Views:228With every passing year, energy consumption in the world is increasing drastically. Most of the energy comes from fossil fuels which are also depleting in a fast manner. Buildings consume a significant amount of energy all over the world and the demand for energy is also increasing unremittingly in buildings. Developed countries are taking profound measures in order to make buildings energy efficient and sustainable by achieving nearly zero energy stage. Pakistan is facing a serious energy crisis from the past few decades. The building sector in Pakistan deserves special attention in this regard since the energy consumption in buildings in Pakistan is feverishly high. Many types of research have been carried out in Pakistan by the United Nations and Energy Department of Pakistan in order to devise applicable methods that not only provide thermal comfort to the occupants but also make a building energy efficient. Renewable energy also plays an important role in compensating building energy demands. It is easy to achieve nearly zero energy state in a good energy efficient building if it is coupled with renewable energy sources then it will make it self-sufficient in energy demand. A survey is also carried out to determine the thermal comfort of the occupants in different types of areas. Also, solar energy analysis is also taken into account to highlight the solar power potential in Pakistan. Several recommendations have also been suggested to implement energy efficiency measures in Pakistan.
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The Alternative Use of Straw
331-343Views:106The problem addressed in this work is to examine the feasibility of using straw in innovative and alternative ways, focusing on aspects of cost sensitivity in subject areas of building investment and energy compsumption. I analysed the energy efficient performance of a straw bale building and compared that with those of a conventional construction, a newly-constracted building and a passive house. In my study I assessed the figures of costs of emboided energy, primary energy consumption and carbon dioxide emission. I made calculations in terms of energy costs for a lifespan of 50 years. Considering that straw-bale construction uses an excellent and sustainable insulation material, its energy use is by 25.38% less than that of conventional construction.
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The green methanol - playing a role in sustainable energy management
249-258Views:140Global energy demand is constantly increasing, so the energy sources we use, and the efficiency of energy use are of paramount importance for the future of humanity. Methanol can play a key role in the sustainable use of natural resources, in the efficient and smooth transition from a fossil oil-based energy system as well as in reducing greenhouse gas emissions. Long-term thinking will result in an increase in the use of renewable energy sources, which will favour the spread of green methanol technology and thus the use of a carbon-neutral fuel. The raw materials for the production of green methanol may include municipal solid waste, agricultural waste, renewable hydrogen and carbon dioxide and the methanol has many uses, both as fuel and chemical feedstock. It also provides an opportunity to chemically store excess renewable energy from intermittent sources, thereby reducing dependence on fossil fuels. The price of electricity used for electrolysis is the main determinant of the economical production of green methanol, so the reduction of the cost of solar and wind energy greatly contributes to the competitiveness of carbon-based production.
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Numerical Model Analysis of Natural Gas Combustion Burners
67-71Views:112Traditional power plants still the dominating power source for all the major industries and powerdemanding facilities, the most crucial facility for the whole plant operations is the industrial boiler which generatessteam, heating energy or electrical power. Boilers generate energy by combustion. The improvement of combustion efficiency could greatly influence the energy consumption and will make the boiler more efficient and cleaner (less emissions), that’s why it is important to understand the combustion and thermal flow behaviours inside the boiler. Beside experimental testing, computational work nowadays becoming more and more important due to lower cost and acceptable accuracy with minimum error. With numerical calculations method, the computational model created by a Computational Fluid Dynamics (CFD) software could reduce a lot of trial and error on experimental work. In this paper utilizing the ANSYS FLUENT 19.1 software to make crate the combustion model. The ratio of air to fuel mixture, the equivalency factor, mass flow rate of the mixture, velocity, mass fractions of the mixture components (fuel and air) and their temperatures will serve as the input parameter while the exhaust gase component mass fraction, temperature, mass flow and velocity will be monitored.
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Defect Analysis of Bearings with Vibration Monitoring and Optical Methods
1-12Views:147Diagnosis of bearings with advanced methods gained remarkable roles in the previous years. This article focuses on the manufacturing defects and methods to reveal and classify them. During manufacturing several faults could emerge because of the grinding operation, tool wear and chatter vibration. Inproper handling of the bearing parts because of the collosion to each other and the storing box that causes deformation. To reveal these problems several methods are applied in industry. For deeper surface analysis nitric acid can be used to initate the finished surface of the roller then natrium-carbonate that nautralize the elements. Vibration analysis in its standard Fourier form is not a new achivement but other mathematical tools could be applied to condition monitoring such as wavelet transform. It is an efficient tool for analyzing the vibration signal of the bearings because it can detect the sudden changes and transient impulses in the signal caused by faults on the bearing elements. In this article five different wavelets, Daubechies, Gaussian, Coiflet, Mexican hat, Meyer are compared according to the Energy to Shannon Entropy ratio criteria to reveal their efficiency for fault detection.
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Self-developed Controller System –based on Open-Source Applications
97-105Views:76In the University of Debrecen Building Mechatronics Research Centre faced by the application of building automation technology, are tackled by cutting edge research performed at the Research Centre. The embedded device system, the focus of the ongoing project at the Research Centre, is programmable, reconfigurable, and adjustable. The design of an efficient embedded system must meet regulatory requirements, for optimizing building energy efficiency. The system provides solutions for a range of industrial applications, and peaks the interest of building services providers (e.g. SMEs).
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Battery Measurement Methods and Artificial Intelligence Applied in Energy Management Systems
428-436Views:120Diagnostics of batteries using advanced methods have gained remarkable roles in the past few years. This study focuses on the type of measurements, tests and methods to reveal and classify them. During manufacturing and operation several faults could emerge in batteries including non-optimal operation conditions, operators without experience, and finally, random changes in batteries under physical and nonphysical conditions. Improper handling of batteries and battery cells man cause operation failures or, in the worst case, accidents. To reveal these problems several methods are applied in industry and in scientific laboratories. For a comprehensive analysis of battery management, artificial intelligence and Industry 4.0 methods can be used very effectively. Big Data analysis in its standard form is not a new achievement, but other mathematical tools could be applied to control monitoring such as Fuzzy Logic or Support Vector Machine (SVM). They are efficient tools to analyse the deviation of batteries condition because it can detect sudden changes, parameter deviations and anomalies, and the user’s behaviour and habits. This article gives a description about the most important battery testing methods and the connection between Big Data and Operation Management with Artificial Intelligent (AI) methods.
