Optimized profitability of LFP and NMC Li-ion batteries in residential PV applications
| Autor: | Héctor Beltrán, Jorge Segarra-Tamarit, Pablo Ayuso, Emilio Pérez |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Numerical Analysis
General Computer Science Computer science Applied Mathematics 010103 numerical & computational mathematics 02 engineering and technology li-ion batteries 01 natural sciences Automotive engineering Profit (economics) Theoretical Computer Science Model predictive control ageing Modeling and Simulation Peaking power plant 0202 electrical engineering electronic engineering information engineering residential PV systems 020201 artificial intelligence & image processing Profitability index Arbitrage 0101 mathematics |
| Zdroj: | Repositori Universitat Jaume I Universitat Jaume I |
| Popis: | This paper analyses the economic profitability provided by different types of Li-ion batteries when used in residential solar applications under a Model Predictive Control that optimizes the operation of the system. The control methodology takes profit of actually commercial time-of-use rates to minimize the operation costs. Also, the analysis takes into account the progressive degradation of the batteries involved by using state-of-the-art semi-empirical ageing models. The study is performed by means of annual simulations that use actual consumption curves for three different households and real PV production batteries, with extended lifetime warranties and prices below 600 e/kWh, under optimized operation and use even when only energy arbitrage and peak shaving services are considered. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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