Tendency Of Energy Consumption Research Articles

Bitcoin price evolution versus energy consumption; trend analysis

ABSTRACT Digital technology developments shape the behaviour, performances, standards of society, organizations and individuals imposing new ways of payments and new forms of money. In this environment in 2008 was developed a new type of currency, namely Bitcoin. Cryptocurrency, as this new form of money has been generically called, puts pressure on the traditional concept of money. Today, the economic value of cryptocurrencies is attested by their circulation and acceptance by user communities for trade. However, establishing this value raises debates in the literature. The research from this paper investigates and analyses if there is a strong enough connectedness between Bitcoin price evolution and energy consumption tendency (for mining), to influence Bitcoin value. Public data from January 2014 to July 2021 is used. An Artificial Neural Network (ANN) was used to study and predict the tendency of Bitcoin price and energy consumption. A comparison between the forecasting trend and the real trend (the evolution of energy consumption and Bitcoin price) was made. The conducted research starts with a quantitative one and ends with a qualitative one (trends). The obtained results show that qualitatively, there is a good correlation between monthly average values of BTC prices and electricity consumption for mining.

Reducing of energy consumption for the object’s motion with designed optimum control

The tendency of energy consumption decreasing for the designed optimal controls is revealed in dependence on the degree of the polynomial describing the control (acceleration) for the object’s translational motion.

Weight distribution and community reconstitution based on communities communications in social opportunistic networks

In social communication, mobile devices can be regarded as socialization nodes in social networks. Furthermore, they carry and store useful information. Mobile devices can select destination nodes and deliver messages through opportunistic networks because messages can be securely and conveniently stored, carried, and transmitted with nodes. However, many communities may deliver messages often depending on one or two nodes. If those nodes are not enough cache and over-flooding, data transmission in communities may wait for a long time. In this study, weight distribution between nodes and communities reconstitution would be established to solve this problem in social opportunistic networks. With satisfactory results from simulation and comparison with some existing algorithms, the new method is found to not only decrease tendency of energy consumption but also improve the delivery ratio, overhead and End-to-end delay in social opportunistic networks.

A methodology for estimating office building energy use baselines by means of land use legislation and reference buildings

Understanding the energy demand of cities is a challenge especially in countries such as Brazil where the lack of building energy consumption benchmarks makes it hard to decide upon interventions in the building stock, as neither the existing nor the attainable energy performance are known. Aiming to overcome these difficulties this study develops a framework to estimate the Energy Use Intensity (EUI) baseline of an existing building stock category based on the investigation of land use regulations, a land tax database and field surveys. These offer a starting point to estimate current energy consumption and promising interventions without having to study specific buildings in depth. A case study of the high-rise commercial building stock took place in the city of Belo Horizonte, Brazil. Three representative typologies were identified. For each of these, archetype energy models were created in order to assess EUI. The analysis of the EUI baselines highlights differences between archetypes, explaining the impact of technical choices on the overall electricity consumption and indicating a growing tendency of energy consumption for forthcoming buildings. The archetype analysis also provides knowledge to identify the most promising energy savings potential and thus to support further energy policies in the city.

Evaluation of energy consumption for effective seawater electrolysis based on the electrodes and salinity

This study recommended the effective condition in electrolysis of saline water considering the energy consumption. The experiments were performed using two types of electrodes, IrO2/Ti and Pt/Ti, under various salinity conditions (4, 8, 16, 32, and 46 PSU) and current density conditions (11, 33, 55, 111, and 222 mA/cm2). The electrolysis produced mainly bromine, which was measured as a total residual oxidant (TRO). Seawater electrolysis produced TRO linearly with increasing the run time and current density. Below 32 PSU, the electrolysis using the IrO2/Ti electrode produced the TRO greater than that using the Pt/Ti electrode. The TRO formation rate of the IrO2/Ti electrode increased following a half parabola pattern in terms of salinity, while that of the Pt/Ti electrode increased until 32 PSU, and then it decreased to 46 PSU. The measured electric power of both electrodes showed the same graph tendency with a parabolic curve as a quadratic equation. The energy consumption of the IrO2/Ti and Pt/Ti electrodes showed a quite different tendency. Considering the energy consumption as well as the required time for TRO formation, the same range of current density (30–50 mA/cm2) is recommended for the two electrodes, IrO2/Ti and Pt/Ti electrodes, even in a different tendency of energy consumption.

Research on the Feasibility of the Markov Prediction Model on Energy Consumption

Recently, many countries have been making efforts to reduce their CO2 emissions. As a high-energy consumption sector, the transport sector faced challenges and responsibilities to save energy and reduce emissions. The purpose of this study is to forecast transport energy consumption from 2011 to 2020 based on Markov Prediction Model. This paper forecasted the variation tendency of energy structure in transport sector by Markov transition matrix. The result of the analyses showed that the proportion of kerosene, natural gas and electricity would increase rapidly, while the other fossil-energy consumption would decrease in the next decades. The tendency of energy consumption indicated the transport modes in the future, and it also drew a blueprint of railway electrification and further expansion of aviation industry. At last, some rationalization proposals about transport mode were mentioned as follows: the government should develop public transport and standardize the management of private cars; draw up the suitable requirements of achieving a strategy of sustainable development of electric vehicle and natural gas vehicle.

Discussion on Architectural Design of Green Theatres in China

The extensive construction of urban theatres in China has entered a period of prosperity, but there are many problems, such as high cost of construction, too large scale, too many facilities, too little use, and excessive energy consumption, etc. It is not only contrary to the green environmental protection and energy saving policies that are advocated in our country, but also not accord with the requirement of sustainable development. In this paper, through site investigations and analysis on the newly built theatres in China, the high energy consumption tendency and its main causes in theater construction and design are summarized. Also, some basic principles related to the design of the theatres and the problems to be concerned have been discussed, therefore the reference and guidance for the architectural design of green theatres in china are provided.

Energy Management System Audit and Implementation in Educational Buildings

Concerning the high energy consumption of educational buildings in available study; it is conducted to estimate the energy consumption at the Faculty of Humanities (Building No. 2), Science and Research Campus (SRC) of the Islamic Azad University (IAU), Tehran, Iran. Auditing and implementing the energy management system in the implied building, efforts are finally made to propose managerial solutions towards reducing energy consumption in this building. After gathering data of the building, including quantity of energy consumption in a one-year period of study in 2005 and the energy consumption equipment in the building followed by a detailed data analysis, the overall energy consumption tendency is investigated in the building. As a result, it is found that the lightening system and electric motors of central heating system consumed the highest level of electricity energy and the highest thermal energy consumption due to boilers. By more analysis of the entire data, solutions are suggested for reducing the energy consumption used in lightening, central heating and cooling systems and boilers. A review of all the practical solutions for improving the systems available in the building showed that regarding the energy management matrix, the energy management system in the building stood at zero point, because the building lacked any operating unit under the title of 'Energy Management' which could monitor energy consumption at the university. Therefore, it is concluded that the energy efficiency in the building may be optimized to a certain extent by presenting a system for energy data collection, analysis and systematic implementation as well as a system for collection of basic information about energy-consuming equipment by means of measurement instruments. By providing this system, procedures are presented for optimizing energy consumption and saving in the building, while a management system and a complete information system are created at the same time. By employing the procedures described in the present study, 173,000 kilowatt-hours (kWh) of power as well as 323642 cubic meters of natural gas can be saved per year.

Study on adjustment countermeasure of an energy consumption structure

The unreasonable situation of energy consumption structure has seriously influenced the development of China. This paper predicts the developing tendency of energy consumption, and searches for the best chance to adjust energy consumption structure, at the same time, raises some concerned adjustment measures.