scholarly journals Methodological development for the optimisation of electricity cost in cement factories: the use of artificial intelligence in process variables

2021 ◽  
Author(s):  
Manuel Parejo Guzmán ◽  
Benito Navarrete Rubia ◽  
Pedro Mora Peris ◽  
Rafaela Alfalla-Luque
Keyword(s):  
Artificial Intelligence ◽  
Electricity Market ◽  
Research Study ◽  
Research Work ◽  
Electrical Energy ◽  
Variable Cost ◽  
Process Variables ◽  
Electricity Cost ◽  
Second Stage ◽  
Cement Factories

AbstractCement factories require large amounts of energy. 70% of the variable cost goes to energy—33% to kiln thermal energy and 37% to electrical energy. This paper represents the second stage of a broader research study which aims at optimising electricity cost in a cement factory by means of using artificial intelligence. After an analysis of the different tools that could be highly useful for the optimisation of electricity cost, for which a systematic review of the literature and surveys and an expert panel of 42 professionals in the cement sector were carried out, a methodology was developed in order to reduce electricity cost by optimising not only different variables of the production process, but also regulated electricity costs and electricity market costs. Artificial neural networks and genetic algorithms will be the tools to be used in this methodology, which can be applied to any cement plant in the world, and, by extension, to any electro-intensive consumer. The innovation of this research work is based on the use of a methodology that not only combines two different variables at the same time—process variables and regulated prices—but also makes use of artificial intelligence tools techniques.

scholarly journals Use of Thermal Accumulators as Tools of Price-Dependent Electrical Energy Consumption for Residential Users

Vestnik NSUEM ◽  
2019 ◽  
pp. 256-268
Author(s):  
A. P. Dzyuba
Keyword(s):  
Energy Consumption ◽  
Electricity Market ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Electricity Cost

The article examines current three-zone and two-zone rates applied within the mechanisms of retail electricity market; the rates were developed for the consumers with prominent night load. The obtained results of the calculation made it possible to state that the use of thermal accumulators on the basis of calculations of the rates with separate formation of the components of electricity cost makes it possible to achieve the effect which on average is 32 % lower than the level of three-zone rates and 18 % lower than the twozone rates.The results lay emphasis on the effectiveness of use of thermal accumulators as tools of price-dependent electrical energy consumption management for residential users of Russia.

scholarly journals Fabrication and Characterization of Laser Scribed Supercapacitor Based on Polyimide for Energy Storage

2018 ◽  
Vol 778 ◽  
pp. 181-186 ◽  
Author(s):  
Tayyaba Malik ◽  
Shayan Naveed ◽  
Muhammad Muneer ◽  
Mohammad Ali Mohammad
Keyword(s):  
Energy Storage ◽  
Research Work ◽  
Electrical Energy ◽  
Energy Storage Devices ◽  
Super Capacitor ◽  
Storage Devices ◽  
Voltage Sweep ◽  
Tremendous Amount ◽  
The Stability

Recently, supercapacitors have attracted a tremendous amount of attention as energy-storage devices due to their high-power density, fast charge–discharge ability, excellent reversibility, and long cycling life. In this research work, we demonstrate a laser scribed super capacitor based on polyimide (PI) substrate for the storage of electrical energy. PI substrate of thickness 200μm and area 1cm × 1cm was reduced by a laser engraver with a 450 nm wavelength in the form of stackable supercapacitor electrodes. Although, PI itself exhibits non-conductive behavior; however, by laser irradiation we change the surface properties of PI and reduce its resistance. The chemical property of irradiated PI was characterized with XRD where the carbon peak was observed at 2*theta = 25.44, which confirms the reduction of PI material in to a graphene-like substance. The electrical conductivity was analyzed with a probe station and observed to be 1.6mS. Two conductive regions were assembled into a capacitor device by sandwiching a PVA/H3PO4 electrolyte in between. During the charging and discharging characterization of the capacitor device, current density was observed to be 1.5mA/cm2. Capacitance versus voltage analysis was carried out and the device showed 75mF/cm2 against a voltage sweep of ±2V. The galvanostatic charging and discharging curve shows a symmetric behavior with respect to time exhibiting the stability and durability of the device.

scholarly journals Building a Community of Users for Open Market Energy

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2330 ◽  
Author(s):  
Joao Ferreira ◽  
Ana Martins
Keyword(s):  
Electricity Market ◽  
Research Work ◽  
Energy Markets ◽  
Central Control ◽  
Open Market ◽  
Spinning Reserve ◽  
Energy Flows ◽  
The Creation ◽  
Control Entity ◽  
Reserve Market

Energy markets are based on energy transactions with a central control entity, where the players are companies. In this research work, we propose an IoT (Internet of Things) system for the accounting of energy flows, as well as a blockchain approach to overcome the need for a central control entity. This allows for the creation of local energy markets to handle distributed energy transactions without needing central control. In parallel, the system aggregates users into communities with target goals and creates new markets for players. These two approaches (blockchain and IoT) are brought together using a gamification approach, allowing for the creation and maintenance of a community for electricity market participation based on pre-defined goals. This community approach increases the number of market players and creates the possibility of traditional end users earning money through small coordinated efforts. We apply this approach to the aggregation of batteries from electrical vehicles so that they become a player in the spinning reserve market. It is also possible to apply this approach to local demand flexibility, associated with the demand response (DR) concept. DR is aggregated to allow greater flexibility in the regulation market based on an OpenADR approach that allows the turning on and off of predefined equipment to handle local microgeneration.

scholarly journals AN EXPLORATORY RESEARCH STUDY OF MARKETING STRATEGIES OF IDBI FEDERAL INSURANCE CO. LTD

2021 ◽  
pp. 478-483
Author(s):  
Himanshi Goyal ◽  
Dr. Navneet Joshi ◽  
Sanjive Saxena
Keyword(s):  
Life Insurance ◽  
Coming Out ◽  
Research Study ◽  
Research Work ◽  
Marketing Strategies ◽  
Insurance Companies ◽  
Primary Data ◽  
Exploratory Research ◽  
Insurance Company ◽  
Insurance Cover

This paper is covers the exploratory research study on the marketing strategies of IDBI Federal Insurance, Company. In the Indian context, Insurance companies are playing a major role in the development of Indian economy. With the entry of many private players in the insurance industry, the competition has risen manifold and hence insurance companies are coming out with innovative marketing strategies to woo the customer. This was the reason for narrowing down the scope of the research work. The present paper is an exploratory research study on the marketing strategy of IDBI Federal Insurance Company. The paper seeks to address the following objectives (a) To determine the marketing strategies of IDBI Federal Life Insurance Co. Ltd (b) To determine the means and mechanism deployed by IDBI Federal Life Insurance Co. Ltd. Applying the marketing mix and to determine the effectiveness of the strategy and (c) to understand the reasons which provide competitive advantage to IDBI Federal Life Insurance Co. Ltd. The paper is developed on the basis of elementary primary and secondary data available in the Internet and other documents and journals. The design of the paper follows a structured approach. The literature review resulted in the generation of the research objectives. The primary data was collected by means of Google Forms and MS Excel was used for data analysis. Descriptive Statistics is used to arrive at the findings and interpretation. The findings indicate that the majority of the people seek insurance cover for the purpose of having risk cover and availing several benefits associated with the life insurance policies. Further, the findings indicate that there is a need to capitalize social media platform for generating awareness to drive the market growth. KEY WORDS: IDBI, Insurance, Marketing, Policies, Strategies

scholarly journals Fault Detection and Severity Level Identification of Spiral Bevel Gears under Different Operating Conditions Using Artificial Intelligence Techniques

Machines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 173
Author(s):  
Syed Muhammad Tayyab ◽  
Steven Chatterton ◽  
Paolo Pennacchi
Keyword(s):  
Artificial Intelligence ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Research Study ◽  
High Load ◽  
Operating Conditions ◽  
Spiral Bevel Gears ◽  
Bevel Gears ◽  
Spiral Bevel ◽  
Level Identification

Spiral bevel gears are known for their smooth operation and high load carrying capability; therefore, they are an important part of many transmission systems that are designed for high speed and high load applications. Due to high contact ratio and complex vibration signal, their fault detection is really challenging even in the case of serious defects. Therefore, spiral bevel gears have rarely been used as benchmarking for gears’ fault diagnosis. In this research study, Artificial Intelligence (AI) techniques have been used for fault detection and fault severity level identification of spiral bevel gears under different operating conditions. Although AI techniques have gained much success in this field, it is mostly assumed that the operating conditions under which the trained AI model is deployed for fault diagnosis are same compared to those under which the AI model was trained. If they differ, the performance of AI model may degrade significantly. In order to overcome this limitation, in this research study, an effort has been made to find few robust features that show minimal change due to changing operating conditions; however, they are fault discriminating. Artificial neural network (ANN) and K-nearest neighbors (KNN) are used as classifiers and both models are trained and tested by using the selected robust features for fault detection and severity assessment of spiral bevel gears under different operating conditions. A performance comparison between both classifiers is also carried out.

A Pragmatic Analytics of Covid Data Patterns for Predictive Mining of Patients

2020 ◽  
Vol 17 (11) ◽  
pp. 5105-5108
Author(s):  
Rubika Walia ◽  
Neelam Oberoi ◽  
Sakshi Sachdeva
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Research Work ◽  
Human Being ◽  
Global Perspectives ◽  
Integration Pattern ◽  
The Social

The year 2020 has emerged as a menace and threat for the human being whereby the social as well as professional livings getting affected. In the global perspectives, the human lives are affecting and huge demise occurring. In this research work, the effectual implementation towards the usage of Artificial Intelligence is done with the machine learning so that the overall outcomes and predictive mining can be done with higher degree of performance. The work is having the integration pattern of COVID datasets of patients with benchmark characteristics and thereby to have the predictions for the upcoming tests and by this way overall prediction can be done.

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.

Decolourization of Reactive Dye from Aqueous Solution using Electrocoagulation: Kinetics and Isothermal Study

2019 ◽  
Vol 233 (10) ◽  
pp. 1447-1468 ◽  
Author(s):  
Kajal Gautam ◽  
Sushil Kumar ◽  
Suantak Kamsonlian
Keyword(s):  
Aqueous Solution ◽  
Energy Consumption ◽  
Correlation Coefficient ◽  
Batch Reactor ◽  
Research Work ◽  
Electrical Energy ◽  
Xrd Analysis ◽  
Reactive Dye ◽  
Electrical Energy Consumption ◽  
Operational Parameters

Abstract Reactive dyes are essential materials for the modern lifestyle due to rapid industrialization and urbanization, but they cause adverse effects on the environment. This research work aimed to decolourize the synthetic aqueous solution containing Reactive Black B (RBB) dye using electrocoagulation (EC) process with iron electrodes in batch reactor. The effect of operational parameters such as initial pH (3–9), the distance between electrodes (0.5–2 cm), current density (1.1–8.4 mA/cm2) and initial dye concentration (100–400 mg/L), was investigated in the presence of sodium chloride to maintain the conductivity of electrolytes. Under optimal value of process parameters, high decolourization (99.6%) was obtained at 25 min. The experimental data showed that pseudo-second order kinetics with a correlation coefficient (R2 = 0.97) and Sips isotherm with a correlation coefficient (R2 = 0.98) were found to be well fitted for kinetic and adsorption equilibrium models, respectively. The economic efficiency was also calculated on the basis of electrical energy consumption (EEC), specific electrical energy consumption (SEEC), and current efficiency, respectively. Moreover, characterization of EC generated sludge was also carried out by proximate analysis, IR spectra and XRD analysis. The results revealed that EC process using Fe electrode is quite efficient and clean process for decolourization of reactive dye from aqueous solution.

scholarly journals Implementation of modified SARSA learning technique in EMCAP

2017 ◽  
Vol 7 (1.5) ◽  
pp. 274
Author(s):  
D. Ganesha ◽  
Vijayakumar Maragal Venkatamuni
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Process ◽  
Learning Algorithm ◽  
Research Work ◽  
Learning System ◽  
State Action ◽  
Learning Technique ◽  
Markov Decision ◽  
Experiment Analysis

This research work presents analysis of Modified Sarsa learning algorithm. Modified Sarsa algorithm.  State-Action-Reward-State-Action (SARSA) is an technique for learning a Markov decision process (MDP) strategy, used in for reinforcement learning int the field of artificial intelligence (AI) and machine learning (ML). The Modified SARSA Algorithm makes better actions to get better rewards.  Experiment are conducted to evaluate the performace for each agent individually. For result comparison among different agent, the same statistics were collected. This work considered varied kind of agents in different level of architecture for experiment analysis. The Fungus world testbed has been considered for experiment which is has been implemented using SwI-Prolog 5.4.6. The fixed obstructs tend to be more versatile, to make a location that is specific to Fungus world testbed environment. The various parameters are introduced in an environment to test a agent’s performance. This modified   SARSA learning algorithm can   be more suitable in EMCAP architecture.  The experiments are conducted the modified   SARSA Learning system gets   more rewards compare to existing  SARSA algorithm.

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