Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources

Pieper, Henrik; Mašatin, Vladislav; Volkova, Anna; Ommen, Torben Schmidt; Elmegaard, Brian; Markussen, Wiebke Brix

doi:10.5278/ijsepm.2019.20.6

Cited by 9 publications

(9 citation statements)

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“…Dorotic ́et al [18] propose a taxing system based on exergy destruction in heat-only boiler units, and Capone et al [19] propose a global optimization modeling approach with demand-side management for district heating customers. Several other previous papers add to these findings regarding development [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37], expansion [38][39][40][41][42][43][44], and operation improvements [45][46][47][48][49][50] of smart energy grids.…”

Section: Introductionmentioning

confidence: 79%

Fourth-Generation District Heating and Motivation Tariffs

Lund

Thorsen

Jensen³

et al. 2022

ASME Open Journal of Engineering

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Future district heating systems and technologies—also known as fourth-generation district heating—have a potentially important role to play in the green transition of societies. The implementation of fourth-generation district heating involves adjustments in the demand side to allow for low temperature supply. In order to facilitate such changes, district heating supply companies have in recent years introduced tariffs with penalties for high return temperatures and benefits for low return temperatures. This paper describes the case of a housing community of 17 buildings in their attempts to adjust to such tariffs as an integrated part of connecting to district heating. Replacing domestic hot water tanks with instantaneous heat exchangers and introducing smart meters resulted in abilities to lower the return temperature from around 40 °C to around 30 °C. However, the current design of the motivation tariffs does not yet fully compensate the consumers because the supply company provides unnecessarily high supply temperatures. Based on such efforts, this paper discusses the fairness and effectiveness of the tariffs and provides recommendations for improving them.

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Section: Introductionmentioning

confidence: 79%

Fourth-Generation District Heating and Motivation Tariffs

Lund

Thorsen

Jensen³

et al. 2022

ASME Open Journal of Engineering

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“…This study obtained the necessary heat source temperatures for every hour using data from the Estonian National Weather Service [36]. For sewage water, the data given in [20] are used.…”

Section: Methodsmentioning

confidence: 99%

“…Heat pumps can be a good solution for rural areas, as there is usually plenty of land available for heat pump facilities. In addition, heat pumps require low-grade heat sources such as ambient air, groundwater, lakes, rivers, sea, sewage water, and industrial waste heat [19], [20]. One of the downsides of heat pumps is the need for large investments compared to boilers fired by natural gas and biomass, and electric boilers [21].…”

Section: Introductionmentioning

confidence: 99%

Heat Pump Use in Rural District Heating Networks in Estonia

Lepiksaar

Kalme²,

Siirde

et al. 2021

Environmental and Climate Technologies

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District heating has proven to be an efficient way of providing space heating and domestic hot water in populated areas. It has also proven to be an excellent way to integrate various renewable energy sources (RES) into the energy system. In Estonia, biomass covers most of the heat demand, but carbon-intensive fuels are still used to cover peaks and lows. Heat pumps can be a good solution for rural areas, as there is usually plenty of land available for heat pump facilities. In addition, heat pumps require low-grade heat sources such as ambient air, groundwater, lakes, rivers, sea, sewage water, and industrial waste heat. One of the downsides of heat pumps is the need for large investments compared to boilers fired by natural gas and biomass, and electric boilers. This study examines the impact of heat pump use on consumer prices for district heating in rural district heating networks in Estonia.

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“…Annual calculations were performed on hourly basis. A more detailed description of the model can be found in Pieper et al [27]. The objective function is shown in Eq.…”

Section: Energy Planning Modelmentioning

confidence: 99%