Toward efficient numerical modeling and analysis of large-scale thermal energy storage for renewable district heating

Dahash, Abdulrahman; Ochs, Fabian; Tosatto, Alice; Streicher, Wolfgang

doi:10.1016/j.apenergy.2020.115840

Cited by 49 publications

(20 citation statements)

References 39 publications

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“…For that purpose mathematical models and numerical simulations are widely used. We refer to Dahash et al [3] and the references therein. In that paper the authors investigate large-scale seasonal thermal energy storage allowing for buffering intermittent renewable heat production in district heating heating systems.…”

Section: Introductionmentioning

confidence: 99%

Short-Term Behavior of a Geothermal Energy Storage: Modeling and Theoretical Results

Takam¹,

Wunderlich²,

Pamen³

2021

Preprint

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This paper investigates numerical methods for simulations of the short-term behavior of a geothermal energy storage. Such simulations are needed for the optimal control and management of residential heating systems equipped with an underground thermal storage. There a given volume under or aside of a building is filled with soil and insulated to the surrounding ground. The thermal energy is stored by raising the temperature of the soil inside the storage. It is charged and discharged via heat exchanger pipes filled with a moving fluid. Simulations of geothermal energy storages aim to determine how much energy can be stored in or taken from the storage within a given short period of time. The latter depends on the dynamics of the spatial temperature distribution in the storage which is governed by a linear heat equation with convection and appropriate boundary and interface conditions. We consider semi-and full discretization of that PDE using upwind finite difference schemes and study associated stability problems. Numerical results based on the derived methods are presented in the companion paper [12].

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Section: Introductionmentioning

confidence: 99%

Short-Term Behavior of a Geothermal Energy Storage: Modeling and Theoretical Results

Takam¹,

Wunderlich²,

Pamen³

2021

Preprint

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“…According to Gao et al [2], smart DH has more prominent benefits than the traditional DH system in numerous aspects, i.e., energy savings or troubleshooting, therefore it has high expansion potential and broad market perspectives in the future. Smart thermal grids, corresponding to smart electricity grids, exploit the potential of renewable energy sources (RES), thermal energy storage (TES), and prosumers and bi-directional networks, as well as the integration of intelligent management [3][4][5]. Smart heating and cooling use algorithm and model-based control methods.…”

Section: Introductionmentioning

confidence: 99%

Smart Asset Management for District Heating Systems in the Baltic Sea Region

et al. 2021

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The purpose of this review is to provide insight and a comparison of the current status of district heating (DH) systems for selected Baltic Sea countries (Denmark, Germany, Finland, Latvia, Lithuania, Poland, and Sweden), especially from viewpoints of application and solutions of novel smart asset management (SAM) approaches. Furthermore, this paper considers European projects ongoing from 2016, involving participants from the Baltic Sea Region, concerning various aspects of DH systems. The review presents the energy sources with particular attention to renewable energy sources (RES), district heating generations, and the exploitation problems of DH systems. The essential point is a comparison of traditional maintenance systems versus SAM solutions for optimal design, operating conditions, and controlling of the DH networks. The main conclusions regarding DH systems in Baltic Sea countries are commitment towards a transition to 4th generation DH, raising the quality and efficiency of heat supply systems, and simultaneously minimizing the costs. The overall trends show that applied technologies aim to increase the share of renewable energy sources and reduce greenhouse gas emissions. Furthermore, examples presented in this review underline the importance of the implementation of a smart asset management concept to modern DH systems.

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“…They pointed out the difficulty of the existing methods to allocate the entropy production caused by mixing and the entropy changes due to heat losses. Some other authors have devoted their attention to consider specific applications such as the building sector [64], the relevance of the geometry of the thermal storage, or the search for the best sustainability indicators to make solar heat, including storage, a cost-effective method to meet the increasing energy demand of the industrial sector [65].…”

Section: Exergy Analysismentioning

confidence: 99%

Exergy Assessment and Thermo-Economic Analysis of Hybrid Solar Systems with Seasonal Storage and Heat Pump Coupling in the Social Housing Sector in Zaragoza

et al. 2021

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A real case study of an energy system based on a Solar Assisted Heat Pump (SAHP) fed by hybrid photovoltaic-thermal solar panels (PVT) and seasonal storage (SS) is presented in this paper. Exergy and exergy cost analyses are proposed as complementary methods for the assessment and better understanding of the efficiency of this cogeneration solar configuration. The system performance takes advantage of storage heat in summer, when the solar resource is high in Spain, and is then later consumed during the cold winter (heating season). The building is devoted to social housing, and it is currently under construction. The assessment is based on simulations developed using TRNSYS, a dynamic simulation software for energy systems. Results show that the unit exergy cost of the solar field is around 6. The cost of the seasonal storage is higher, about 13, and its formation is affected both by its own irreversibility and by the irreversibility of the PVT solar field. The cost of the heat delivered by the heat pump is around 15, being affected by all the upstream units and even by the grid. Besides, the analysis points out strategies for improving the system efficiency, such as increasing the size of the storage tank or improving the control strategy of the boiler.

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Toward efficient numerical modeling and analysis of large-scale thermal energy storage for renewable district heating

Cited by 49 publications

References 39 publications

Short-Term Behavior of a Geothermal Energy Storage: Modeling and Theoretical Results

Short-Term Behavior of a Geothermal Energy Storage: Modeling and Theoretical Results

Smart Asset Management for District Heating Systems in the Baltic Sea Region

Exergy Assessment and Thermo-Economic Analysis of Hybrid Solar Systems with Seasonal Storage and Heat Pump Coupling in the Social Housing Sector in Zaragoza

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