Simulation and implementation of heat load shifting in a low carbon building

Research output: Contribution to conferencePaper

Abstract

A predictive load shifting control system for a heat pump has been developed and installed in a low carbon test house located at the BRE Innovation Park, Motherwell, near Glasgow. The house features an exhaust-air source heat pump supplying an under floor heating system. The controller predicted the day-ahead space heating requirements for the house, based on forecast air temperatures and solar radiation levels and then automatically set the heat pump’s start and stop times for the following day. The heat pump’s operation was restricted where possible to off-peak electricity tariff periods (00:00-07:00). The controller’s operating parameters were pre-set using a calibrated building simulation model. After installation, the controller’s performance was monitored during September 2015 and analysis of test data showed that the predictive control maintained indoor air temperatures between 18-23oC for around 87% of notional occupied hours between 07:00-22:00; this was better than predicted by simulation. However, the energy performance of the heat pump was extremely poor as it did not function well under intermittent load-shifting operation, with the majority of the heat was delivered primarily by an auxiliary immersion coil rather than the heat pump itself. The paper concludes with suggestions for refinements to the controller and further work.

Fingerprint

Thermal load
Carbon
Pumps
Controllers
Air source heat pumps
Space heating
Air
Solar radiation
Hot Temperature
Electricity
Innovation
Control systems
Heating
Temperature

Keywords

  • heat pump
  • predictive control
  • load shifting
  • building simulation
  • field trials

Cite this

Allison, J., Cowie, A., Galloway, S., Hand, J., Kelly, N., & Stephen, B. (Accepted/In press). Simulation and implementation of heat load shifting in a low carbon building. Paper presented at The 4th Sustainable Thermal Energy Management International Conference , Alkmar, Netherlands.
Allison, John ; Cowie, Andrew ; Galloway, Stuart ; Hand, Jon ; Kelly, Nick ; Stephen, Bruce. / Simulation and implementation of heat load shifting in a low carbon building. Paper presented at The 4th Sustainable Thermal Energy Management International Conference , Alkmar, Netherlands.10 p.
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keywords = "heat pump, predictive control, load shifting, building simulation, field trials",
author = "John Allison and Andrew Cowie and Stuart Galloway and Jon Hand and Nick Kelly and Bruce Stephen",
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Allison, J, Cowie, A, Galloway, S, Hand, J, Kelly, N & Stephen, B 2017, 'Simulation and implementation of heat load shifting in a low carbon building' Paper presented at The 4th Sustainable Thermal Energy Management International Conference , Alkmar, Netherlands, 28/06/17 - 30/06/17, .

Simulation and implementation of heat load shifting in a low carbon building. / Allison, John; Cowie, Andrew; Galloway, Stuart; Hand, Jon; Kelly, Nick; Stephen, Bruce.

2017. Paper presented at The 4th Sustainable Thermal Energy Management International Conference , Alkmar, Netherlands.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Simulation and implementation of heat load shifting in a low carbon building

AU - Allison, John

AU - Cowie, Andrew

AU - Galloway, Stuart

AU - Hand, Jon

AU - Kelly, Nick

AU - Stephen, Bruce

PY - 2017/4/12

Y1 - 2017/4/12

N2 - A predictive load shifting control system for a heat pump has been developed and installed in a low carbon test house located at the BRE Innovation Park, Motherwell, near Glasgow. The house features an exhaust-air source heat pump supplying an under floor heating system. The controller predicted the day-ahead space heating requirements for the house, based on forecast air temperatures and solar radiation levels and then automatically set the heat pump’s start and stop times for the following day. The heat pump’s operation was restricted where possible to off-peak electricity tariff periods (00:00-07:00). The controller’s operating parameters were pre-set using a calibrated building simulation model. After installation, the controller’s performance was monitored during September 2015 and analysis of test data showed that the predictive control maintained indoor air temperatures between 18-23oC for around 87% of notional occupied hours between 07:00-22:00; this was better than predicted by simulation. However, the energy performance of the heat pump was extremely poor as it did not function well under intermittent load-shifting operation, with the majority of the heat was delivered primarily by an auxiliary immersion coil rather than the heat pump itself. The paper concludes with suggestions for refinements to the controller and further work.

AB - A predictive load shifting control system for a heat pump has been developed and installed in a low carbon test house located at the BRE Innovation Park, Motherwell, near Glasgow. The house features an exhaust-air source heat pump supplying an under floor heating system. The controller predicted the day-ahead space heating requirements for the house, based on forecast air temperatures and solar radiation levels and then automatically set the heat pump’s start and stop times for the following day. The heat pump’s operation was restricted where possible to off-peak electricity tariff periods (00:00-07:00). The controller’s operating parameters were pre-set using a calibrated building simulation model. After installation, the controller’s performance was monitored during September 2015 and analysis of test data showed that the predictive control maintained indoor air temperatures between 18-23oC for around 87% of notional occupied hours between 07:00-22:00; this was better than predicted by simulation. However, the energy performance of the heat pump was extremely poor as it did not function well under intermittent load-shifting operation, with the majority of the heat was delivered primarily by an auxiliary immersion coil rather than the heat pump itself. The paper concludes with suggestions for refinements to the controller and further work.

KW - heat pump

KW - predictive control

KW - load shifting

KW - building simulation

KW - field trials

M3 - Paper

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Allison J, Cowie A, Galloway S, Hand J, Kelly N, Stephen B. Simulation and implementation of heat load shifting in a low carbon building. 2017. Paper presented at The 4th Sustainable Thermal Energy Management International Conference , Alkmar, Netherlands.