Researchers in Finland say that decentralized heat pumps could provide significant cost savings when selling surplus heat into district networks. However, they warned that capital expenditure remains high.
Embedding local, decentralized heat pumps (HPs) into a district heating system could cut operating expenses by 24%, according to new research from the Aalto University in Finland.
The scientists said that heat pumps could achieve significant cost savings when they push surplus heat into district networks, based on a case study of six buildings in Espoo, Finland. The buildings were all connected to the local district heating network, with air-to-water heat pumps being modeled to work in parallel with the network.
“When optimizing heat delivery operational expenditure of the hybrid heating, the cost-optimal choice would be to dimension heat pumps to cover the peak heat demand,” the group said, adding that the parallel use of heat pumps and district heating is crucial to achieving a cost-optimal outcome. “Minimum opex is achieved by dimensioning the HP system for peak heat demand, which is the highest accepted dimensioning in the modeling. However, if HP capex is considered in total heat delivery costs, it is not economic to invest in HPs in the studied case.”
The researchers said that adding heat pumps to the district heat network increased total heat delivery costs.
“This maintenance/replacement investment should be analyzed further in order to make more thorough conclusions regarding the profitability of investing in heat pumps in district heat systems,” they stated.
They presented their findings in “Cost-optimization model to design and operate hybrid heating systems – Case study of district heating system with decentralized heat pumps in Finland,” which was recently published in Energy.
“The future work of developing the modelling tool is to focus on expanding the scope to larger systems (area, municipality, country) as well as including alternative heat pump technologies, storage technologies and heat demand response into the model,” they concluded.
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