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Thermocline thermal energy storage optimisation combining exergy and life cycle assessment
- Source :
- Energy Conversion and Management, Energy Conversion and Management, Elsevier, 2021, 248, pp.1-11/114787. ⟨10.1016/j.enconman.2021.114787⟩
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- International audience; Thermocline thermal energy storage is one of the most promising solutions for recovering waste heat in industrial plants. This paper aims to optimise the shape of a thermal energy storage to minimise its environmental impacts and maximise its exergy efficiency. The reference storage is an existing industrial high-temperature air/ceramic packed-bed heat storage called EcoStock®. The physical model used to determine the performances of the tank is a one dimensional model with two equations: one for the heat transfer fluid and one for the filler material. The environmental impacts are analysed using a life cycle assessment through four selected indicators: cumulative energy demand, global warming potential, abiotic depletion potential and particulate matter. To solve this multi-criteria problem, a particle swarm optimisation algorithm was applied with several exergy and environmental weighting factors. A Pareto set is obtained, bounded by the single exergy or environmental optimisations. Favouring exergy efficiency reduces the volume of the tank. However, environmental footprint of the tank is increased: the indicators of cumulative energy demand and abiotic depletion potential are considerably higher. The shape of the tank evolves with the exergy weight, from a square shape (environmental optimisation) to a tapered shape (exergy optimisation).
- Subjects :
- Exergy
020209 energy
Waste heat valorisation
Energy Engineering and Power Technology
Packed-bed
02 engineering and technology
Thermal energy storage
7. Clean energy
Life cycle assessment
[SPI]Engineering Sciences [physics]
Waste heat
0202 electrical engineering, electronic engineering, information engineering
Thermocline
0601 history and archaeology
Process engineering
Life-cycle assessment
060102 archaeology
Renewable Energy, Sustainability and the Environment
business.industry
Particle swarm optimization
06 humanities and the arts
Fuel Technology
Nuclear Energy and Engineering
Volume (thermodynamics)
13. Climate action
Exergy efficiency
Environmental science
Multi-criteria optimisation
business
Subjects
Details
- ISSN :
- 01968904
- Volume :
- 248
- Database :
- OpenAIRE
- Journal :
- Energy Conversion and Management
- Accession number :
- edsair.doi.dedup.....d18e03c1c3015e694f95c2c7d807e0ac
- Full Text :
- https://doi.org/10.1016/j.enconman.2021.114787