Optimization of Energy Consumption via Artificial Intelligence: A Study

2016 ◽  
Vol 8 (01) ◽  
pp. 26-33
Author(s):  
Sakshi Jaiswal ◽  
Awdhesh Gupta ◽  
Shivam Kumar Kanojiya
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Human Capabilities ◽  
Intelligent Machines ◽  
Stage Of Development ◽  
The Future ◽  
State Of Affairs ◽  
Commercial Organizations

In the future intelligent machines will replace or enhance human capabilities in many areas. Artificial Intelligence is the intelligence exhibited by machines or software.”John McCarthy” who coined the tem in 1955 defines it as the “science and engineering of making intelligent machines”. As we are aware of the fact that energy consumption has grown tremendously over a few decades in all over the world which is environmentally unfriendly. It is essential at this stage of development to pause and critically examine the state of affairs via the application of AI in energy conservation and environmental system engineering. In this paper we describe in a general way on how the existing applications of AI techniques provide intelligent solution to optimize the energy conservation now and in the future. Also, how Wireless Sensor and Actuator Networks are used to remotely monitor and control the environment according to the decisions made by the centralized reasoner and EEMS(Energy Efficiency Management System)provides effective energy saving measures and high quality energy conservation services Energy efficiency has nowadays become one of the most challenging task for both academic and commercial organizations and this has boosted research on novel fields.

scholarly journals Artificial Intelligence : The Supermind - A Review

2022 ◽  
pp. 194-203
Author(s):  
Shruti Sunil Ajankar ◽  
Aditi Rajesh Nimodiya
Keyword(s):  
Artificial Intelligence ◽  
Clear Understanding ◽  
Human Capabilities ◽  
Health Security ◽  
Intelligent Machines ◽  
Advantages And Disadvantages ◽  
Business Application ◽  
The Future ◽  
Main Driver ◽  
The Moment

Artificial intelligence (AI) is one of the most important technologies in the world today. In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial Intelligence is impacting the future of virtually every industry and every human being. AI has acted as the main driver of emerging technologies like big data, robotics, and IoT, and it will continue to act as a technological innovator for the foreseeable future. AI is simply the study of how to make computer do things which at the moment people do the better. There are many ways to define AI, but one simple definition is “intelligence demonstrated by machines”. Primary goal of AI is to improve computer behaviour so that it can be called intelligent. AI is ubiquitous and is not only limited to computer science but has evolved to include other areas like health, security, education, music, art, and business application. This paper gives an overview of how the AI actually works, its scopes , the different applications of AI, its advantages and disadvantages and many more topics which will give a clear understanding inspite of the boundlessness of AI.

Energy Efficiency Assessment Oriented Building Energy Consumption System Model

2013 ◽  
Vol 415 ◽  
pp. 734-740
Author(s):  
Yun Long Ma ◽  
Xiao Hua Chen ◽  
Bo Liu ◽  
Guo Feng Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Emission Reduction ◽  
Building Energy ◽  
Efficiency Index ◽  
Assessment System ◽  
Building Energy Consumption ◽  
Building Energy Conservation ◽  
Consumption System

This paper analyzes the characteristics and composition of the energy consumption system of the building from the perspective of systematic energy conservation and presents the systematic framework of the consumption model. Based on the framework, the paper focuses on how to establish a building energy consumption assessment system, find the energy efficiency index system and assessment approaches, and apply the results directly into building energy conservation and emission reduction. It not only facilitates greatly the overall and efficient management of the energy consumption system of the building, but also serves as another new approach to achieve energy conservation and emission reduction.

scholarly journals Energy Use Efficiency Past-to-Future Evaluation: An International Comparison

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3804 ◽  
Author(s):  
Chia-Nan Wang ◽  
Thi-Duong Nguyen ◽  
Min-Chun Yu
Keyword(s):  
United States ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Demand ◽  
Energy Use ◽  
The United States ◽  
Total Energy Consumption ◽  
The Future ◽  
The Status ◽  
Energy Efficiency Evaluation

Despite the many benefits that energy consumption brings to the economy, consuming energy also leads nations to expend more resources on environmental pollution. Therefore, energy efficiency has been proposed as a solution to improve national economic competitiveness and sustainability. However, the growth in energy demand is accelerating while policy efforts to boost energy efficiency are slowing. To solve this problem, the efficiency gains in countries where energy consumption efficiency is of the greatest concern such as China, India, the United States, and Europe, especially, emerging economies, is central. Additionally, governments must take greater policy actions. Therefore, this paper studied 25 countries from Asia, the Americas, and Europe to develop a method combining the grey method (GM) and data envelopment analysis (DEA) slack-based measure model (SMB) to measure and forecast the energy efficiency, so that detailed energy efficiency evaluation can be made from the past to the future; moreover, this method can be extended to more countries around the world. The results of this study reveal that European countries have a higher energy efficiency than countries in Americas (except the United States) and Asian countries. Our findings also show that an excess of total energy consumption is the main reason causing the energy inefficiency in most countries. This study contributes to policymaking and strategy makers by sharing the understanding of the status of energy efficiency and providing insights for the future.

scholarly journals Establishment of Passive Energy Conservation Measure and Economic Evaluation of Fenestration System in Nonresidential Building of Korea

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Bo-Eun Choi ◽  
Ji-Hyun Shin ◽  
Jin-Hyun Lee ◽  
Sun-Sook Kim ◽  
Young-Hum Cho
Keyword(s):  
Energy Efficiency ◽  
Economic Evaluation ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Gain Coefficient ◽  
Building Energy Efficiency ◽  
Basic Study ◽  
Heat Gain ◽  
Solar Heat ◽  
Solar Heat Gain

ECO2 (building energy efficiency rating program) and passive energy conservation measures (ECMs) were established as a basic study for targeted methodologies and decision support systems development in Korea to meet national regulations. The primary energy consumption and economic evaluation of nonresidential buildings was performed. Passive ECMs were classified as planning and performance elements. The planning elements are the window-to-wall ratio (WWR) and horizontal shading angle. The performance elements are the thermal transmittance (U-value) of the walls, roof, and floor and the U-value and solar heat gain coefficient (SHGC) of windows. This study focused on the window-to-wall ratio and the U-value and solar heat gain coefficient of windows. An economic efficiency database for the constructed alternatives was built; the target building was set and the Passive ECM List for the target building was derived. The energy consumption evaluation and economic evaluation were performed for each of the constructed alternatives, and a methodology for guiding energy efficiency decisions was proposed based on the performance evaluation results, and the optimal Passive ECM List for the target building was derived.

The Strategies of Passive Energy-Efficiency Design in Low Energy Building

2013 ◽  
Vol 368-370 ◽  
pp. 1318-1321
Author(s):  
Xin Bin Wang ◽  
Jia Ping Liu ◽  
Yu Fu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Air Conditioning ◽  
Influence Factors ◽  
Building Design ◽  
Building Energy ◽  
Low Energy ◽  
Paper Briefly ◽  
Low Energy Consumption

This paper briefly analyzes the structure and conservation approaches of building energy consumption, analyzes the forming reason and influence factors of heating and air-conditioning energy consumption and proposes the passive energy conservation designing strategies of low energy consumption building. Through the passive methods of building design, envelop enclosure and planning landscape, the goal of last year building low energy conservation can be achieved.

scholarly journals Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation

2021 ◽  
Author(s):  
Andreas Fügener ◽  
Jörn Grahl ◽  
Alok Gupta ◽  
Wolfgang Ketter
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Work ◽  
Work Environments ◽  
The Other ◽  
Business Organizations ◽  
Human Capabilities ◽  
Work Arrangements ◽  
Other Hand ◽  
The World ◽  
The Future

A consensus is beginning to emerge that the next phase of artificial intelligence (AI) induction in business organizations will require humans to work with AI in a variety of work arrangements. This article explores the issues related to human capabilities to work with AI. A key to working in many work arrangements is the ability to delegate work to entities that can do them most efficiently. Modern AI can do a remarkable job of efficient delegation to humans because it knows what it knows well and what it does not. Humans, on the other hand, are poor judges of their metaknowledge and are not good at delegating knowledge work to AI—this might prove to be a big stumbling block to create work environments where humans and AI work together. Humans have often created machines to serve them. The sentiment is perhaps exemplified by Oscar Wilde’s statement that “civilization requires slaves…. Human slavery is wrong, insecure and demoralizing. On mechanical slavery, on the slavery of the machine, the future of the world depends.” However, the time has come when humans might switch roles with machines. Our study highlights capabilities that humans need to effectively work with AI and still be in control rather than just being directed.

scholarly journals Energy efficiency solutions for driers used in the glass manufacturing and processing industry

2017 ◽  
Vol 11 (1) ◽  
pp. 199-208
Author(s):  
Roxana Pătrașcu ◽  
Eduard Minciuc ◽  
George Darie ◽  
Ștefan-Dominic Voronca ◽  
Andreea-Ioana Bădicu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Manufacturing Process ◽  
Raw Materials ◽  
Raw Material ◽  
Energy Status ◽  
Improvement Program ◽  
Industrial Facilities ◽  
Energy Efficiency Improvement

Abstract Energy conservation is relevant to increasing efficiency in energy projects, by saving energy, by its’ rational use or by switching to other forms of energy. The goal is to secure energy supply on short and long term, while increasing efficiency. These are enforced by evaluating the companies’ energy status, by monitoring and adjusting energy consumption and organising a coherent energy management. The manufacturing process is described, starting from the state and properties of the raw material and ending with the glass drying technological processes involved. Raw materials are selected considering technological and economic criteria. Manufacturing is treated as a two-stage process, consisting of the logistic, preparation aspect of unloading, transporting, storing materials and the manufacturing process itself, by which the glass is sifted, shredded, deferrized and dried. The interest of analyzing the latter is justified by the fact that it has a big impact on the final energy consumption values, hence, in order to improve the general performance, the driers’ energy losses are to be reduced. Technological, energy and management solutions are stated to meet this problem. In the present paper, the emphasis is on the energy perspective of enhancing the overall efficiency. The case study stresses the effects of heat recovery over the efficiency of a glass drier. Audits are conducted, both before and after its’ implementation, to punctually observe the balance between the entering and exiting heat in the drying process. The reduction in fuel consumption and the increase in thermal performance and fuel usage performances reveal the importance of using all available exiting heat from processes. Technical faults, either in exploitation or in management, lead to additional expenses. Improving them is in congruence with the energy conservation concept and is in accordance with the Energy Efficiency Improvement Program for industrial facilities.

Study on Development Path of Electric Vehicle in China from a View of Energy Conservation and Emission Reduction

2014 ◽  
Vol 525 ◽  
pp. 355-360
Author(s):  
Wei Zheng Kong ◽  
Bi Bin Huang ◽  
Qiong Hui Li ◽  
Xiao Lu Wang
Keyword(s):  
Power Generation ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Emission Reduction ◽  
Power Plants ◽  
Clean Energy ◽  
Pollutant Emissions ◽  
Total Power ◽  
Fossil Energy

In this paper, the change of fossil energy consumption, carbon dioxide (CO2) and pollutant emissions are calculated when petroleum based vehicles (PBVs) are taken place by EVs based upon the full-cycle energy efficiency theory with the energy efficiency measured from well to wheel.. Calculation results show that the fossil energy consumption, CO2, monoxide (CO) and hydrocarbon (HC) emissions can be reduced with the substitution of EVs for vehicles that burn gasoline (GVs), but nitrogen oxides (NOx) and sulfur dioxide (SO2) emissions increase. When vehicles that burn diesel (DVs) are replaced by EVs, the emissions of pollutants except SO2 will be reduced, but the emissions of CO2 and SO2 will increase. Considering the proportion of coal-fired power generation to the total power generation in China, the goal of energy conservation and emission reduction cannot be perfectly achieved by the substitution of PBVs by EVs. Therefore, the proportion of clean energy generation should be increased in China and technological updating of coal-fired power plants for reducing CO2 and pollutant emissions are necessary as well. Besides, GVs, other than DVs, should be replaced by EVs from the perspective of energy conservation and CO2 emission.

scholarly journals Artificial intelligence methods to control the energy efficiency of electric rolling stock online

2020 ◽  
Vol 175 ◽  
pp. 05046
Author(s):  
Vasily Cheremisin ◽  
Stanislav Istomin ◽  
Artem Perestenko
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Simulation Models ◽  
Automated System ◽  
Rolling Stock ◽  
Artificial Intelligence Methods ◽  
Electric Rolling Stock ◽  
Motion Parameters ◽  
Consumption Control

The international practices in organizing the energy consumption control of electric rolling stock are analyzed. As a result, it was concluded that currently the issue of organizing the energy consumption control of electric rolling stock is mainly solved by using analytical methods. These methods are based on designing the simulation models, which are usually based on the Pontryagin maximum principle. However, considering the development of recording systems for motion parameters of electric rolling stock, as well as other automated systems of Russian Railways, it seems promising to develop and study artificial intelligence methods and algorithms for solving real-time monitoring issues of electric rolling stock energy consumption. It was also determined that the most modern motion parameter recorders have a number of significant drawbacks from the data analysis point of view. Such drawbacks include insufficient data and their low reliability, lack of linking the recorded data to trips and locomotive teams, the impossibility of choosing a constant interval for recording measurement results. Moreover, there is also high probability of errors when recording data on the cartridge, lack of GPS/GLONASS satellite navigation system, lack of wireless data transmission, imperfection of software and inconvenience of exporting data from a cartridge file and its incompleteness. In order to test the energy efficiency assessment of electric rolling stock within the limits of arbitrary energy tracking areas, the Corresponding software was developed on the basis of data from the motion parameters recorders. However, developing the new complex automated system is required for the full implementation of the proposed consumption tracking method. Such system should combine the entire set of measured parameters, both for electric rolling stock and for the traction power supply system.

Design and Development of the Energy Management System in Cigarette Manufactures

2013 ◽  
Vol 432 ◽  
pp. 592-597
Author(s):  
Dao Fei Zhu ◽  
Jian Jun Wang ◽  
Hua Wang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Management ◽  
Management System ◽  
Reference Value ◽  
Energy Management System ◽  
System Function ◽  
Improve Energy Efficiency ◽  
Reduce Energy Consumption

It is an increasingly urgent demand for Cigarette manufacturers to promote energy conservation. Energy management system is an important tool to further reduce energy consumption and improve energy efficiency for cigarette manufacturers. In this paper, the design principles, the overall framework and the system function of the energy management system in a cigarette manufacturer are introduced. After energy management system is put into operation, comprehensive energy consumption per unit product is about 16.35% shorter than before. It has some reference value for the construction of other cigarette enterprise.

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