Development and validation of a physically-based computer model for predicting winter electric heating loads

1995 ◽  
Vol 10 (1) ◽  
pp. 266-272 ◽  
Author(s):  
M.H. Nehrir ◽  
P.S. Dolan ◽  
V. Gerez ◽  
W.J. Jameson
Keyword(s):  
Computer Model ◽  
Electric Heating ◽  
Physically Based ◽  
Heating Loads ◽  
Development And Validation

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.

The Effects of Improved Starting Capability on Energy Yield for Small HAWTs

2011 ◽  
Author(s):  
Supakit Worasinchai ◽  
Grant Ingram ◽  
Robert Dominy
Keyword(s):  
Energy Production ◽  
Production Capacity ◽  
Energy Output ◽  
Energy Yield ◽  
Resistive Heating ◽  
Grid Connection ◽  
Wind Turbine System ◽  
Load Types ◽  
Heating Loads ◽  
Development And Validation

The purpose of this study was to investigate the effect of turbine starting capability on overall energy-production capacity. The investigation was performed through the development and validation of MATLAB/Simulink models of turbines. A novel aspect of this paper is that the effects of load types, namely resistive heating, battery charging, and grid connection were also investigated. It was shown that major contributors to improved starting performance are aerodynamic improvements, reduction of inertia, and simply changing the pitch angle of the blades. The first two contributors can be attained from an exploitation of a “mixed-aerofoil” blade. The results indicate that starting ability has a direct effect on the duration that the turbine can operate and consequently its overall energy output. The overall behaviour of the wind turbine system depends on the load type, these impose different torque characteristics for the turbine to overcome and lead to different power production characteristics. When a “mixed-aerofoil” blade is used the annual energy production of the wind systems increases with the exception of resistive heating loads. Net changes in annual energy production were range of −4% to 40% depending on the load types and sites considered. The significant improvement in energy production strongly suggests that both the starting performance and load types should be considered together in the design process.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document