Thermal energy storage in district heating: Centralised storage vs. storage in thermal inertia of buildings

Romanchenko, Dmytro; Kensby, Johan; Odenberger, Mikael; Johnsson, Filip

doi:10.1016/j.enconman.2018.01.068

Cited by 154 publications

(85 citation statements)

References 23 publications

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“…The buildings also play a role of thermal energy storage owing to their thermal inertia, and they are compared with the HS in reference. 12 The results indicate that both the buildings and the HS benefit the operation of the district heating system. Li et al propose a detailed district heating system model for the optimal scheduling of the CHPS, including heat stations, heat-exchanger stations, and the DHN.…”

Section: Introductionmentioning

confidence: 95%

“…Interaction mechanisms of the electric and heating systems are introduced in Reference, 10 and a quasi-steady multi-energy flow model is proposed to elucidate operation characteristics of the main components in the integrated energy systems by dividing the interaction process into four quasi-steady stages. 12 The results indicate that both the buildings and the HS benefit the operation of the district heating system. The buildings also play a role of thermal energy storage owing to their thermal inertia, and they are compared with the HS in reference.…”

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confidence: 95%

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Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization

Chen

Lei

et al. 2019

Energy Science & Engineering

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The combined heat and power system (CHPS) is one important type of the integrated energy system in Northern China. Compared with the independently operated power system, the combined heat and power system (CHPS) has a great potential to improve the utilization of wind energy in virtue of the energy storage of the heating system and power‐to‐heat (P2H) devices. This paper studies the optimal operation of the CHPS equipped with the electric boiler (EB) and heat pump (HP). Comprehensive factors are considered, including P2H conversion, the thermal inertia of district heating network (DHN) and buildings, and adjustable heat loads. An equivalent model of the heating system is developed to express the direct mathematical relations between the heat source and heat loads. Redundant details of the DHN are simplified to reduce the complexity of the optimization problem. Furthermore, a self‐repair method incorporated with the real‐coded genetic algorithm (RCGA) is proposed to efficiently handle the nonlinear constraints. The effectiveness of the solving method is verified in case studies. The impacts of the EB and the HP on the CHPS are compared in details. The results show that the HP offers better performance than the EB on coal saving and improving wind power integration.

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Section: Introductionmentioning

confidence: 95%

mentioning

confidence: 95%

Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization

Chen

Lei

et al. 2019

Energy Science & Engineering

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“…The consistent increase of global energy demand has driven the improvement of energy technology development to reduce energy consumption, especially in the building energy sector . This is attributed to that, as a major energy consuming sector, current building energy consumption accounts for around 40% of total primary energy, and it will continue to increase . Therefore, energy saving in buildings is the key measure to solve these energy problems.…”

Section: Introductionmentioning

confidence: 99%

“…1 This is attributed to that, as a major energy consuming sector, current building energy consumption accounts for around 40% of total primary energy, and it will continue to increase. 2,3 Therefore, energy saving in buildings is the key measure to solve these energy problems.…”

Section: Introductionmentioning

confidence: 99%

Numerical assessing energy performance for building envelopes with phase change material

Zou

Chen

et al. 2018

Int J Energy Res

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Summary In hot climate, phase change material (PCM) can be incorporated into building envelopes to reduce heat gain through the building envelopes and therefore reduce its cooling demand. In this study, the energy performance of building envelopes integrated with PCM has been explored using a popular dynamic building performance simulation package, EnergyPlus, and the energy saving mechanism of PCM was investigated. The simulation results reflected that PCM could effectively help to reduce the building's annual energy consumption by 20.9% for Guangzhou, China. In addition, for the Guangzhou city, 27°C transition temperature, smaller thermal conductivity of roof, and higher amount of PCM can all help to improve the building's energy performance. Additionally, it is suggested that in real building development/retrofit projects, the selection of PCM needs to be based on both their thermal properties and the local climatic conditions of the building.

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“…The concept approaches the subject by predicting the heat consumption and then optimizing the heat production utilizing demand side management. In this context, the thermal mass of buildings plays a major role for controls towards lower energy usage [6,7] and can offer advantage over centralized storage solutions [8]. However, its use is a challenge due to the slow dynamics of heat storage resulting in time delays [9].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Model for Indoor Temperature Prediction in Buildings

2018

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A novel dynamic model for the temperature inside buildings is presented, aiming to improve energy efficiency by providing predictive information on the heat demand. To analyse the performance and generalizability of the modelling approach, real measurement data was gathered from five different types of buildings. Easily available data from various sources was utilized. The chosen model structure leads to a minimal number of input variables and free parameters. Simulations with real data from five buildings, and applying the identical model structure showed that the average modelling error during the 28-h prediction horizon was constantly below 5%. The results thus demonstrate that the model structure can be standardized and easily applied to predict the indoor temperatures of large buildings. This would finally enable demand side management and the predictive optimization of the heat demand at city level.

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Thermal energy storage in district heating: Centralised storage vs. storage in thermal inertia of buildings

Cited by 154 publications

References 23 publications

Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization

Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization

Numerical assessing energy performance for building envelopes with phase change material

A Dynamic Model for Indoor Temperature Prediction in Buildings

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