TY - GEN
T1 - Optimal Energy Management of All-electric Residential Energy Systems in the Netherlands
AU - Terlouw, Tom
AU - Alskaif, T.A.
AU - van Sark, W.G.J.H.M.
PY - 2019/8/26
Y1 - 2019/8/26
N2 - All-electric energy systems are a promising alternative for natural gas based energy systems. Therefore, this paper aims to present a simple method to determine all-electric demand profiles. Next, these demand profiles are used in an optimization problem by including electricity storage in the form of lithium-ion batteries and Battery Electric Vehicles (BEVs). Furthermore, different methodologies are compared to size the lithium-ion battery systems. The results demonstrate that optimal sizing could reduce the installed storage capacity per household hence could reduce investment costs, while the Photovoltaic Self-Consumption (PVSC) ratio remains high. Hence it is recommended to use optimally sized battery systems to improve the economic feasibility of all-electric system lay-outs. Furthermore, the shift to all-electric energy systems results in large grid absorption peaks when a high penetration of BEVs are included.
AB - All-electric energy systems are a promising alternative for natural gas based energy systems. Therefore, this paper aims to present a simple method to determine all-electric demand profiles. Next, these demand profiles are used in an optimization problem by including electricity storage in the form of lithium-ion batteries and Battery Electric Vehicles (BEVs). Furthermore, different methodologies are compared to size the lithium-ion battery systems. The results demonstrate that optimal sizing could reduce the installed storage capacity per household hence could reduce investment costs, while the Photovoltaic Self-Consumption (PVSC) ratio remains high. Hence it is recommended to use optimally sized battery systems to improve the economic feasibility of all-electric system lay-outs. Furthermore, the shift to all-electric energy systems results in large grid absorption peaks when a high penetration of BEVs are included.
UR - https://ieeexplore-ieee-org.recursos.biblioteca.upc.edu/document/8810473
U2 - 10.1109/PTC.2019.8810473
DO - 10.1109/PTC.2019.8810473
M3 - Conference contribution
BT - 2019 IEEE Milan PowerTech
PB - IEEE
CY - Milan-Italy
ER -