A physically-based computer model of aggregate electric water heating loads

1994 ◽  
Vol 9 (3) ◽  
pp. 1209-1217 ◽  
Author(s):  
J.C. Laurent ◽  
R.P. Malhame
Keyword(s):  
Computer Model ◽  
Water Heating ◽  
Physically Based ◽  
Heating Loads

A jump-driven Markovian electric load model

1990 ◽  
Vol 22 (3) ◽  
pp. 564-586 ◽  
Author(s):  
Roland Malhamé
Keyword(s):  
Power Systems ◽  
Load Management ◽  
Water Heating ◽  
State Behavior ◽  
Physically Based ◽  
The Individual ◽  
Discrete Part ◽  
Heating Loads ◽  
Transient And Steady State

Electric water heating loads, in power systems, can be adequately modeled by Markov processes comprising a mix of continuous and discrete states. A physically-based characterization of the dynamic behavior of large aggregates of electric water heating loads is obtained by deriving the forward Kolmogorov equations associated with the individual hybrid-state processes. In addition, by focusing on the discrete part of the state, a Markov renewal viewpoint of the processes is developed. Both viewpoints are used to analyze and predict the transient and steady-state behavior of these loads, of great importance in load management applications.

A jump-driven Markovian electric load model

1990 ◽  
Vol 22 (03) ◽  
pp. 564-586 ◽  
Author(s):  
Roland Malhamé
Keyword(s):  
Power Systems ◽  
Load Management ◽  
Water Heating ◽  
State Behavior ◽  
Physically Based ◽  
The Individual ◽  
Discrete Part ◽  
Heating Loads ◽  
Transient And Steady State

Electric water heating loads, in power systems, can be adequately modeled by Markov processes comprising a mix of continuous and discrete states. A physically-based characterization of the dynamic behavior of large aggregates of electric water heating loads is obtained by deriving the forward Kolmogorov equations associated with the individual hybrid-state processes. In addition, by focusing on the discrete part of the state, a Markov renewal viewpoint of the processes is developed. Both viewpoints are used to analyze and predict the transient and steady-state behavior of these loads, of great importance in load management applications.

Integral Computer Model for Simulating Microstructure Evolution during Thermomechanical Processing and Heat Treatment of Steels and Predicting their Final Mechanical Properties

2021 ◽  
Vol 1016 ◽  
pp. 1532-1537
Author(s):  
Alexander Alexandrovich Vasilyev ◽  
Dmitry Sokolov ◽  
Semen Sokolov ◽  
N.G. Kolbasnikov
Keyword(s):  
Mechanical Properties ◽  
Heat Treatment ◽  
Computer Model ◽  
Thermomechanical Processing ◽  
Quantitative Description ◽  
Experimental Studies ◽  
Steel Structure ◽  
Chemical Compositions ◽  
Steel Microstructure ◽  
Physically Based

An integral computer model/program AusEvol Pro was developed to describe the evolution of steel microstructure during thermomechanical processing (hot rolling, forging), as well as subsequent heat treatment (normalization, tempering), and to evaluate the final mechanical properties (yield stress, tensile stress, elongation), hardness and impact toughness. The program implements a set of physically based models that allow quantitative description of all significant processes of steel structure formation with account of the effects of chemical composition both during thermomechanical processing and heat treatment. Calculations of the final mechanical properties are carried out using the developed models that take into account all physically meaningful contributions. The models created are verified both on the extensive database of our own experimental studies and on reliable data from literature for steels of various chemical compositions.

scholarly journals Energy Consumption in Residential Buildings: Comparison between Three Different Building Styles

2020 ◽  
Vol 2 (1) ◽  
pp. p1
Author(s):  
Mohamed A. Umbark ◽  
Samah Khalifa Alghoul ◽  
Elhadi I. Dekam
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Residential Buildings ◽  
Weather Conditions ◽  
Electrical Energy ◽  
Local Power ◽  
Water Heating ◽  
Space Cooling ◽  
Heating Loads ◽  
Cooling Loads

More than one-third of the electricity generated in the world is being consumed in the residential sector. This study aims to model, simulate, and estimate electrical energy consumption in three different building styles. That is in order to compare and contrast energy consumption categories and their related social and architectural aspects for an unaddressed region that have its particular weather conditions and its special social and environmental aspects. The simulation is done by detailed modeling of the buildings using EnergyPlus. The results demonstrate that water heating systems account for almost one-fifth of the annual energy consumption. Cooling loads were found to be more than 5 times the heating loads. The peak of energy consumption was recorded to be in July, while the lowermost recorded in April and in November. The Apartment style requires the lowest annual energy consumption by an amount of 10 kWh/m2 per person followed by the Duplex house with 13 kWh/m2 per person, while the Single-Story house comes with the highest energy consumption of 18 kWh/m2 per person. These represent local power consumption of 69, 79, and 90 kWh/m2, respectively. On average, the water heating, space cooling, plus interior lights consume about 60% of total energy requirements with a mostly equal share for each, while the equipment has the maximum share of 35% of the total, leaving about 5% for the rest. The results of this study may be used as a reference line in the future for the calculations of energy savings in similar regions.

1593: Computer Model to Predict Patency Outcome after Vasoepididymostomy

2004 ◽  
Vol 171 (4S) ◽  
pp. 420-420
Author(s):  
Sijo J. Parekattil ◽  
Paul Shin ◽  
Anthony J. Thomas ◽  
Ashok Agarwal
Keyword(s):  
Computer Model
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