Subproject 8
Sorption heat storage system and thermochemical network integration
Novelty of the solution of the subproject
WP1: The development of a liquid sorption heat storage system using sodium hydroxide for space heating and domestic hot water is being advanced from a lab demonstrator to a commercially viable product with an energy density of 350 kWh/m3 and a payback period of less than 15 years. This will be a game changer, being highly flexible, compact and affordable, and offering also industrial applications for waste heat recovery.
WP2: Thermochemical (storage) networks (TCN) represent a new topic in research, promising better exploitation of various thermochemical processes in industry and other sectors. As the chemical potential is maintained, lossless distribution and long-term storage becomes possible.
Research is advanced by:
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Simulation models for sorption storage, climatization and industrial drying
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Experimental build of a network section to study sorbent transportation to recognize potential issues such as crystallization
Objectives of the subproject
Scientific
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Accelerate water uptake into aqueous sodium hydroxide by buoyancy forces
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Operate with source temperatures below 0°C
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Enable vapour compression to increase temperature gain
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Advance calibrated simulation models for accurate performance predictions
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Advance TCN and its potential for renewable heating, cooling and air-conditioning
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Understand unique selling proposition of TCN
Economic
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Reach pay-off period below 15 years by storage system simplification
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Determine the long-term and cost perspective for TCNs
Societal
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Understand social and political acceptance/appreciation for sorption STES and TCN
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Provide alternative STES technology
Environmental
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Leverage use of renewable energy, even at building scale through sorption STES
Technological
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Advance sorption heat storage development towards a commercial product
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Reach an energy density of 350 kWh/m3
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Demonstration of advanced, low cost sorption heat storage system, ready for field testing
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Further development of key components of TCN and build of a lab-scale test bench
Research partners