Abstract
The aim of this study was to compare tsbi3-simulations with measured data. One-hour means were studied of the heating effects and the indoor temperatures in homes with direct electric heating and electric load control. The experiments comprised load management, nightly temperature boosts and heat disturbances. In the simulations, the house was zoned in two different ways, first with just one thermal zone, and then in seven different ones. The latter partitioning agreed better with the measured results. The agreement between measured and simulated data was generally good. When the indoor temperature falls, the difference was quite small, tenths of a centigrade. Raising temperature gave a greater difference, 1-1.5 C higher simulated temperature than measured, corresponding to a 1-1.5 kW higher heating effect. Differing control systems can explain part of this discrepancy. Another error stems from an underestimation of the insulating capacity of the windows. The main conclusion was that tsbi3 is well adapted to simulating the effects of load management discussed here
Citation Formats
Carlander, C.
Load management in one-family houses. Comparison between simulated and measured sequences; Belastningsstyrning i smaahus. Jaemfoerelse mellan simulerade och maetta foerlopp.
Sweden: N. p.,
1994.
Web.
Carlander, C.
Load management in one-family houses. Comparison between simulated and measured sequences; Belastningsstyrning i smaahus. Jaemfoerelse mellan simulerade och maetta foerlopp.
Sweden.
Carlander, C.
1994.
"Load management in one-family houses. Comparison between simulated and measured sequences; Belastningsstyrning i smaahus. Jaemfoerelse mellan simulerade och maetta foerlopp."
Sweden.
@misc{etde_10105753,
title = {Load management in one-family houses. Comparison between simulated and measured sequences; Belastningsstyrning i smaahus. Jaemfoerelse mellan simulerade och maetta foerlopp}
author = {Carlander, C}
abstractNote = {The aim of this study was to compare tsbi3-simulations with measured data. One-hour means were studied of the heating effects and the indoor temperatures in homes with direct electric heating and electric load control. The experiments comprised load management, nightly temperature boosts and heat disturbances. In the simulations, the house was zoned in two different ways, first with just one thermal zone, and then in seven different ones. The latter partitioning agreed better with the measured results. The agreement between measured and simulated data was generally good. When the indoor temperature falls, the difference was quite small, tenths of a centigrade. Raising temperature gave a greater difference, 1-1.5 C higher simulated temperature than measured, corresponding to a 1-1.5 kW higher heating effect. Differing control systems can explain part of this discrepancy. Another error stems from an underestimation of the insulating capacity of the windows. The main conclusion was that tsbi3 is well adapted to simulating the effects of load management discussed here}
place = {Sweden}
year = {1994}
month = {Sep}
}
title = {Load management in one-family houses. Comparison between simulated and measured sequences; Belastningsstyrning i smaahus. Jaemfoerelse mellan simulerade och maetta foerlopp}
author = {Carlander, C}
abstractNote = {The aim of this study was to compare tsbi3-simulations with measured data. One-hour means were studied of the heating effects and the indoor temperatures in homes with direct electric heating and electric load control. The experiments comprised load management, nightly temperature boosts and heat disturbances. In the simulations, the house was zoned in two different ways, first with just one thermal zone, and then in seven different ones. The latter partitioning agreed better with the measured results. The agreement between measured and simulated data was generally good. When the indoor temperature falls, the difference was quite small, tenths of a centigrade. Raising temperature gave a greater difference, 1-1.5 C higher simulated temperature than measured, corresponding to a 1-1.5 kW higher heating effect. Differing control systems can explain part of this discrepancy. Another error stems from an underestimation of the insulating capacity of the windows. The main conclusion was that tsbi3 is well adapted to simulating the effects of load management discussed here}
place = {Sweden}
year = {1994}
month = {Sep}
}