Thermal Energy Storage for Building Load Management: Application to Electrically Heated Floor

Thieblemont, Hélène; Haghighat, Fariborz; Moreau, Alain

doi:10.3390/app6070194

Cited by 15 publications

(3 citation statements)

References 21 publications

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“…As shown in Equations (9)(10)(11)(12)(13)(14), aiming at minimizing the cost of the ECI, including energy purchase cost 1 ( ) C t , device-installation cost 2 C , device-maintenance cost 3 ( ) C t , environmental costs 4 ( ) C t , and electricity sales revenue 5 ( ) C t , the following variables were optimized, including the type of installed energy-conversion device in the system, the corresponding installed capacity, and the energy-flow ratio at each moment. Device-installation cost is calculated by the equivalent annual cost, which is the converted annual input cost considering life-and time-related market factors.…”

Section: Economic Performancementioning

confidence: 99%

“…Yang et al [10] proposed an optimal dispatching model of a electrothermal multienergy system with power-to-gas (P2G) facilities on the basis of considering the characteristics of P2G facilities, power systems, natural-gas systems, and heating systems. Thieblemont et al [11] put forward sensible thermal-energy storage (TES) systems that can shift a portion or all of it to off-peak periods to help reduce peak demand and electrical-grid stress.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Configuration of Integrated Energy System Based on Energy-Conversion Interface

Yang

Zhang

et al. 2019

Applied Sciences

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Aiming at the optimal configuration of a regional integrated energy system (IES), this paper proposes an energy-conversion interface (ECI) model that simplifies the complex multienergy network into a multi-input–multioutput dual-port network, consequently achieving the energy-coupling relationship between the energy-supply side and the demand side. An optimized configuration model of the ECI was constructed by considering economic performance, such as device-installation cost, operation and maintenance cost, and environmental cost, as well as energy-saving performance, such as energy-utilization efficiency. Then, the ECI optimal-configuration model was established by taking a campus in northern China as an example. To verify the validity of the model, device planning quantity and daily energy scheduling of the integrated energy system of the campus were obtained by solving the model with the particle-swarm optimization method. Finally, sensitivity analysis of the system to energy prices and the reweight approach for the targets are also given in this paper, providing a decision-making basis for system planning.

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Section: Economic Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Configuration of Integrated Energy System Based on Energy-Conversion Interface

Yang

Zhang

et al. 2019

Applied Sciences

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“…On one hand, to take advantage of time-ofuse tariffs, a high amount of energy should be stored during off-peak periods. On the other hand, the stored amount of energy should not be higher than the loads for avoiding energy losses or thermal comfort issues in the case of building-integrated with thermal energy storage (BITES) (Bastani et al, 2015;Thieblemont et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Predictive control strategies based on weather forecast in buildings with energy storage system: A review of the state-of-the art

Thieblemont

Haghighat

Ooka

et al. 2017

Energy and Buildings

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165

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Versatile lab‐scale test rig for experimental analysis and heat transfer modelling of thermally activated building systems

et al. 2020

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Thermally activated building systems (TABS) constitute an energy efficient building conditioning solution through the combination of low-exergy space heating and cooling and thermal energy storage (TES) features. Their implementation is, however, complex, due to the number of factors involved in their design and operation. Mathematical models are useful to overcome this, but require validation, while experimental setups to study sensible TES can be bulky and difficult to handle. In this work, a homogeneous concrete slab and a multilayer concrete-sand-gravel slab are built and activated with constant heat flow. Both slabs are experimentally tested and their thermal behaviour is modelled through a 1D finite difference method (FDM). Results demonstrate that materials such as sand and gravel can be used to provide relevant experimental data for TABS heat transfer model validation through a versatile lab test rig. A 1D FDM proves to be a simple, accurate method to predict the thermal behaviour of the slabs during transient peaks in charging and discharging processes as well as during steady-state operation, given that most of the time absolute errors remain below the measurement uncertainty thresholds. Finally, this paper sets a basis to support future experimental work on sensible TES and provides data for further model validation.

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Thermal Energy Storage for Building Load Management: Application to Electrically Heated Floor

Cited by 15 publications

References 21 publications

Optimal Configuration of Integrated Energy System Based on Energy-Conversion Interface

Optimal Configuration of Integrated Energy System Based on Energy-Conversion Interface

Predictive control strategies based on weather forecast in buildings with energy storage system: A review of the state-of-the art

Versatile lab‐scale test rig for experimental analysis and heat transfer modelling of thermally activated building systems

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