<P><B>Abstract</B></P> <P>This study proposes the integration of reverse osmosis desalination with renewable energy sources and battery storage using energy-efficient power pinch analysis methodology for three different ...
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https://www.riss.kr/link?id=A107507184
2017
-
SCIE,SCOPUS
학술저널
795-809(15쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
<P><B>Abstract</B></P> <P>This study proposes the integration of reverse osmosis desalination with renewable energy sources and battery storage using energy-efficient power pinch analysis methodology for three different ...
<P><B>Abstract</B></P> <P>This study proposes the integration of reverse osmosis desalination with renewable energy sources and battery storage using energy-efficient power pinch analysis methodology for three different scenarios under an energy management strategy considering power supply and demand and power losses of the components in the system. The power cascade table and storage cascade table are introduced as numerical tools of power pinch analysis to determine the minimum outsourced electricity supply and available excess electricity for the next day, as well as the waste electricity, needed electricity, and the battery capacity for the system during a normal operation day. An optimization algorithm was applied based on the storage cascade table for a normal operation year to determine the optimal battery capacity for a dynamic freshwater demand to minimize the outsourced freshwater. Based on the energy management strategy, a case study in London, UK, showed scenario one as the best scenario with an optimum battery capacity of 1170.36kWh and freshwater production of 40,604.5m<SUP>3</SUP>, which can minimize 60,096.9m<SUP>3</SUP> of outsourced freshwater with a reasonable total annual cost of 503,159$/year.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Integrating an RES–RO under energy management strategy for three different scenarios. </LI> <LI> Constructing a power cascade table for an RES–BS–RO system considering power losses. </LI> <LI> Applying an optimization algorithm to optimize battery capacity with minimum freshwater production. </LI> <LI> Identifying the produced freshwater and its total annual cost with optimum battery capacity for a case study in London. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>