Benefit and value of Li-ion batteries in combination with large-scale renewable energy sources.

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Nieminen, Roosa
dc.contributor.advisor Amelin, Mikael Erdozia Perez de Heredia, Agurtzane 2017-10-30T07:52:49Z 2017-10-30T07:52:49Z 2017-09-25
dc.description.abstract Li-ion batteries have demonstrated to be a very flexible source with energy storage capability. Due to their scalability and wide range of power and energy densities, they are suitable for several applications. Li-ion storage can therefore provide different services, the remuneration of which depends on the electricity market of the country. In this work, two different case studies of combination of Li-ion batteries with large-scale renewable power plants have been investigated: batteries with solar PV in India and with wind power in Sweden. Simulation models have been developed to assess the operation and profitability potential of different services in these two case studies. The models have been built using control algorithms, linear optimization (LP) and stochastic programming techniques. The results show that the use of batteries for solar power output smoothing under a power purchase agreement can be a profitable business case in India. Moreover, batteries providing primary frequency regulation (FCR-N) in Sweden show to have a positive economic value. System breakeven costs to make the stacking of wind power production imbalance compensation and FCR-N services profitable have been found, which based on conservative price expectations should be achieved by 2022. en
dc.format.extent 128+18
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Benefit and value of Li-ion batteries in combination with large-scale renewable energy sources. en
dc.type G2 Pro gradu, diplomityö fi Insinööritieteiden korkeakoulu fi
dc.subject.keyword Li-ion batteries en
dc.subject.keyword RES en
dc.subject.keyword power markets en
dc.subject.keyword flexibility en
dc.subject.keyword energy modelling en
dc.identifier.urn URN:NBN:fi:aalto-201710307288
dc.programme.major Innovative and Sustainable Energy Engineering fi
dc.programme.mcode IA3025 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Lund, Peter
dc.programme Master’s Programme in Innovative and Sustainable Energy Engineering fi
local.aalto.electroniconly yes
local.aalto.openaccess yes

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