Modelling of a Solar Assisted Floor Heating System with TRNSYS

2016 ◽  
pp. 355-369 ◽  
Author(s):  
E. Bellos ◽  
C. Tzivanidis ◽  
A. Prassas ◽  
K. A. Antonopoulos
Keyword(s):  
Heating System ◽  
Floor Heating

A Study on the Development of Dry Floor Heating System Member with Thermal Storage

2016 ◽  
Author(s):  
Yun-Chu Cho ◽  
◽  
Hung-Chan Jeon ◽  
Han-Do Kim ◽  
Myung-Eun Lee ◽  
...  
Keyword(s):  
Thermal Storage ◽  
Heating System ◽  
Floor Heating

scholarly journals Control of Heat Pumps with CO2 Emission Intensity Forecasts

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2851 ◽  
Author(s):  
Kenneth Leerbeck ◽  
Peder Bacher ◽  
Rune Grønborg Junker ◽  
Anna Tveit ◽  
Olivier Corradi ◽  
...  
Keyword(s):  
Process Model ◽  
Electrical Power ◽  
Heating System ◽  
Heat Pumps ◽  
Thermal Capacity ◽  
Building Codes ◽  
Thermal Mass ◽  
Thermostatic Control ◽  
Co2 Emission Intensity ◽  
Floor Heating

An optimized heat pump control for building heating was developed for minimizing CO 2 emissions from related electrical power generation. The control is using weather and CO 2 emission forecasts as inputs to a Model Predictive Control (MPC)—a multivariate control algorithm using a dynamic process model, constraints and a cost function to be minimized. In a simulation study, the control was applied using weather and power grid conditions during a full-year period in 2017–2018 for the power bidding zone DK2 (East, Denmark). Two scenarios were studied; one with a family house and one with an office building. The buildings were dimensioned based on standards and building codes/regulations. The main results are measured as the CO 2 emission savings relative to a classical thermostatic control. Note that this only measures the gain achieved using the MPC control, that is, the energy flexibility, not the absolute savings. The results show that around 16% of savings could have been achieved during the period in well-insulated new buildings with floor heating. Further, a sensitivity analysis was carried out to evaluate the effect of various building properties, for example, level of insulation and thermal capacity. Danish building codes from 1977 and forward were used as benchmarks for insulation levels. It was shown that both insulation and thermal mass influence the achievable flexibility savings, especially for floor heating. Buildings that comply with building codes later than 1979 could provide flexibility emission savings of around 10%, while buildings that comply with earlier codes provided savings in the range of 0–5% depending on the heating system and thermal mass.

Heat storage-type floor heating system with heat pump driven by nighttime electric power

1997 ◽  
Vol 26 (2) ◽  
pp. 122-130 ◽  
Author(s):  
Munehiro Yamaguchi ◽  
Sogo Sayama ◽  
Hirokazu Yoneda ◽  
Kin-ya Iwamoto ◽  
Mitsuhiro Harada ◽  
...  
Keyword(s):  
Electric Power ◽  
Heat Pump ◽  
Heat Storage ◽  
Heating System ◽  
Floor Heating ◽  
Storage Type

An Experimental Study on the Fire Risk of Traditional Floor Heating System

2020 ◽  
Vol 11 (1) ◽  
pp. 95-107
Author(s):  
Chang Won Lee ◽  
◽  
Yeong Hyeon Kim
Keyword(s):  
Experimental Study ◽  
Fire Risk ◽  
Heating System ◽  
Floor Heating

Simulation of the dynamic behaviour of a hydronic floor heating system

1995 ◽  
Vol 15 (6) ◽  
pp. 505-519 ◽  
Author(s):  
S.Y. Ho ◽  
R.E. Hayes ◽  
R.K. Wood
Keyword(s):  
Dynamic Behaviour ◽  
Heating System ◽  
Floor Heating
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