TY - GEN
T1 - Smart community clustering for sharing local green energy
AU - Yamagata, Y.
AU - Seya, H.
AU - Kuroda, S.
PY - 2014
Y1 - 2014
N2 - This paper extends the concept of our proposed [1]-[3] electricity sharing system as a complement or alternative to a feed-in tariff (FiT) to achieve CO2-neutral transportation in cities. In our proposed system, electricity generated from widely introduced solar photovoltaic panels (PVs) is stored in the 'cars not in use' in a city. In Japan, almost half of the cars in the central Tokyo metropolitan area are used only on weekends and thus are kept parked during weekdays. These cars represent a huge new potential storage depot if they were replaced by electric vehicles (EVs), that is, they could be used as storage batteries in a V2G system. The results of our previous study [3] showed that although the entire electricity surplus (PV supply minus demand) could be stored without waste if 12% of the EVs not in use were utilized as storage batteries at an aggregate (city) level in August (with maximum solar irradiance), there exist significant regional mismatches at the local district level. Hence, based on the geographical electricity surplus estimates, this paper develops a metaheuristic-based spatial clustering algorithm to find optimal spatial clusters where local mismatches between electricity surplus and storage potential is minimized, and self-sufficient green electricity is achieved.
AB - This paper extends the concept of our proposed [1]-[3] electricity sharing system as a complement or alternative to a feed-in tariff (FiT) to achieve CO2-neutral transportation in cities. In our proposed system, electricity generated from widely introduced solar photovoltaic panels (PVs) is stored in the 'cars not in use' in a city. In Japan, almost half of the cars in the central Tokyo metropolitan area are used only on weekends and thus are kept parked during weekdays. These cars represent a huge new potential storage depot if they were replaced by electric vehicles (EVs), that is, they could be used as storage batteries in a V2G system. The results of our previous study [3] showed that although the entire electricity surplus (PV supply minus demand) could be stored without waste if 12% of the EVs not in use were utilized as storage batteries at an aggregate (city) level in August (with maximum solar irradiance), there exist significant regional mismatches at the local district level. Hence, based on the geographical electricity surplus estimates, this paper develops a metaheuristic-based spatial clustering algorithm to find optimal spatial clusters where local mismatches between electricity surplus and storage potential is minimized, and self-sufficient green electricity is achieved.
KW - Clustering algorithms
KW - Electric vehicles
KW - Geospatial analysis
KW - Photovoltaic systems
KW - Sustainable development
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UR - http://www.scopus.com/inward/citedby.url?scp=84903712441&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84903712441
SN - 9781479926275
T3 - Proceedings of the 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development, ICUE 2014
BT - Proceedings of the 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development, ICUE 2014
PB - IEEE Computer Society
T2 - 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development, ICUE 2014
Y2 - 19 March 2014 through 21 March 2014
ER -