Using frequency dependent electric space heating loads to manage frequency disturbances in power systems

2009 ◽  
Author(s):  
A. Rautiainen ◽  
S. Repo ◽  
P. Jarventausta
Keyword(s):  
Power Systems ◽  
Space Heating ◽  
Frequency Dependent ◽  
Electric Space ◽  
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.

Residential electric space heating in detroit

1955 ◽  
Vol 74 (9) ◽  
pp. 814-814
Author(s):  
A. E. Bush ◽  
R. P. Woodward
Keyword(s):  
Space Heating ◽  
Electric Space

scholarly journals Performance Modeling Comparison of a Solar Combisystem and Solar Water Heater

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
John L. Sustar ◽  
Jay Burch ◽  
Moncef Krarti
Keyword(s):  
Energy Savings ◽  
Residential Building ◽  
System Size ◽  
Energy Performance ◽  
Hot Water ◽  
Space Heating ◽  
Solar Water Heater ◽  
Water Heater ◽  
Solar Water ◽  
Heating Loads

As homes move toward zero energy performance, some designers are drawn toward the solar combisystem due to its ability to increase the energy savings as compared to solar water heater (SWH) systems. However, it is not trivial as to the extent of incremental savings these systems will yield as compared to SWH systems, since the savings are highly dependent on system size and the domestic hot water (DHW) and space heating loads of the residential building. In this paper, the performance of a small combisystem and SWH, as a function of location, size, and load, is investigated using annual simulations. For benchmark thermal loads, the percent increased savings from a combisystem relative to a SWH can be as high as 8% for a 6 m2 system and 27% for a 9 m2 system in locations with a relatively high solar availability during the heating load season. These incremental savings increase significantly in scenarios with higher space heating loads and low DHW loads.

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