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Roadblocks to heat pump use in residential buildings with Model Predictive Control for demand response and ancillary markets and potential solutions. 

Number: No 222

Author(s) : MENON R. P., AMBLARD F., PAGE J.

Summary

Demand Response and use of residential buildings for peak shaving and load balancing has been proposed as a popular method towards providing security and increasing efficiency for the electrical grids. Use of heat pumps to shift peaks of electricity and thermal demands is one of the possibilities available for this purpose. This is only possible through the use of advanced control algorithms which are capable of interfacing with the thermal and electric devices available at the residences. However, usage of devices like heat pumps for load shifting and/or peak shaving would imply discomfort for the tenants in the residential building. Thus, demand response only becomes an attractive option to the residential user if there are financial incentives available to them. This is only possible in present-day by providing end-users with access to the ancillary markets. The paper studies the implementation of a control framework (using Model Predictive Control and Machine Learning) on a group of buildings with water-water heat pumps. The paper looks at the practical roadblocks that limit the implementation of advanced control algorithms on heat pumps. The paper, then, looks at solutions towards these roadblocks and the hardware and software that is required to ensure successful implementation of demand response for heat pumps. The paper then looks at the data requirements for creating grey-box models of the heat pumps within a Model Predictive Control Framework such that end-users can actively participate in the ancillary market. Finally, the paper discusses possible changes to the ancillary market for better integration of thermal devices for demand response and changes to redress the difficulties in using heat pump use for demand response.

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Pages: 10 p.

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  • Original title: Roadblocks to heat pump use in residential buildings with Model Predictive Control for demand response and ancillary markets and potential solutions. 
  • Record ID : 30030045
  • Languages: English
  • Subject: Figures, economy, General information
  • Source: 13th IEA Heat Pump Conference 2021: Heat Pumps – Mission for the Green World. Conference proceedings [full papers]
  • Publication date: 2021/08/31

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