DREMUS: A Data-Restricted Multi-Physics Simulation Model for Lithium-Ion Battery Storage
| Autor: | Maria Brucoli, Rohit Bhagat, Anup Barai, Martin Rogall, David Greenwood, Patrick Chi-Kwong Luk |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Battery (electricity)
Third party Renewable Energy Sustainability and the Environment Computer science 020209 energy Energy Engineering and Power Technology Experimental data 02 engineering and technology 021001 nanoscience & nanotechnology Battery energy storage system Li-Ion battery energy storage systems Lithium-ion battery Reliability engineering Scalability 0202 electrical engineering electronic engineering information engineering Key (cryptography) Dynamical simulation Electrical and Electronic Engineering 0210 nano-technology |
| Zdroj: | Journal of Energy Storage. 32:102051 |
| ISSN: | 2352-152X |
| Popis: | This paper presents a modelling approach to support the techno-economic analysis of Li-Ion battery energy storage systems (BESS) for third party organisations considering the purchase or use of BESS but lacking the detailed knowledge of battery operation and degradation. It takes into account the severe data-limitations and provides the best possible approximation for its long-term electrical, thermal and ageing performance. This is achieved by constructing flexible and scalable ageing models from experimental data based on manufacturer's datasheets, warranties and manuals as key inputs. The precision of the individual models has been determined using experimental data and has been found with |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect