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Thermal energy storage in district heating and cooling systems: A review
E Guelpa, V Verda - Applied Energy, 2019 - Elsevier
Thermal storage facilities ensure a heat reservoir for optimally tackling dynamic
characteristics of district heating systems: heat and electricity demand evolution, changes of …
characteristics of district heating systems: heat and electricity demand evolution, changes of …
[HTML][HTML] Low-temperature operation of heating systems to enable 4th generation district heating: A review
DS Østergaard, KM Smith, M Tunzi, S Svendsen - Energy, 2022 - Elsevier
District heating networks increasingly rely on heat pumps, condensing biomass boilers, and
excess heat in the transition to sustainable energy systems. Accordingly, district heating …
excess heat in the transition to sustainable energy systems. Accordingly, district heating …
[HTML][HTML] District heating and cooling in Sweden
S Werner - Energy, 2017 - Elsevier
The purpose with this review is to provide a presentation of the background and current
position for district heating and cooling in Sweden. The review structure considers the …
position for district heating and cooling in Sweden. The review structure considers the …
Predicting hourly heating load in a district heating system based on a hybrid CNN-LSTM model
J Song, L Zhang, G Xue, YP Ma, S Gao, QL Jiang - Energy and Buildings, 2021 - Elsevier
Heat loads change dynamically with meteorological conditions and user demand, and the
related accurate prediction algorithms are conducive to the realization of optimized …
related accurate prediction algorithms are conducive to the realization of optimized …
A comprehensive review of smart energy meters in intelligent energy networks
The significant increase in energy consumption and the rapid development of renewable
energy, such as solar power and wind power, have brought huge challenges to energy …
energy, such as solar power and wind power, have brought huge challenges to energy …
[HTML][HTML] Explainable district heat load forecasting with active deep learning
District heat load forecasting is a challenging task that involves predicting future heat
demand based on historical data and various influencing factors. Accurate forecasting is …
demand based on historical data and various influencing factors. Accurate forecasting is …
Applied machine learning: Forecasting heat load in district heating system
Forecasting energy consumption in buildings is a key step towards the realization of
optimized energy production, distribution and consumption. This paper presents a data …
optimized energy production, distribution and consumption. This paper presents a data …
Thermal energy storage in district heating: Centralised storage vs. storage in thermal inertia of buildings
Heat load variations in district heating systems lead to increased costs for heat generation
and, in most cases, increased greenhouse gas emissions associated with the marginal use …
and, in most cases, increased greenhouse gas emissions associated with the marginal use …
Potential of residential buildings as thermal energy storage in district heating systems–Results from a pilot test
Heat demand in a district heating system can have a significant variation within 1 day, which
produces problematic conditions for efficient heat generation. Short-term thermal energy …
produces problematic conditions for efficient heat generation. Short-term thermal energy …
[HTML][HTML] Assessment of district heating and cooling systems transition with respect to future changes in demand profiles and renewable energy supplies
District energy systems are about to shift towards closer temperature configurations, ie low-
temperature district heating and high-temperature district cooling. Challenges and benefits …
temperature district heating and high-temperature district cooling. Challenges and benefits …