posted on 2021-01-21, 15:04authored byPei Huang, Xingxing Zhang, Benedetta Copertaro, Puneet Kumar Saini, Da Yan, Yi Wu, Xiangjie ChenXiangjie Chen
The deployment of solar photovoltaics (PV) and electric vehicles (EVs) is continuously
increasing during urban energy transition. With the increasing deployment of energy storage,
the development of the energy sharing concept and the associated advanced controls, the conventional
solar mobility model (i.e., solar-to-vehicles (S2V), using solar energy in a different location) and
context are becoming less compatible and limited for future scenarios. For instance, energy sharing
within a building cluster enables buildings to share surplus PV power generation with other buildings
of insufficient PV power generation, thereby improving the overall PV power utilization and reducing
the grid power dependence. However, such energy sharing techniques are not considered in the
conventional solar mobility models, which limits the potential for performance improvements.
Therefore, this study conducts a systematic review of solar mobility-related studies as well as the
newly developed energy concepts and techniques. Based on the review, this study extends the
conventional solar mobility scope from S2V to solar-to-buildings, vehicles and storage (S2BVS).
A detailed modeling of each sub-system in the S2BVS model and related advanced controls are
presented, and the research gaps that need future investigation for promoting solar mobility are
identified. The aim is to provide an up-to-date review of the existing studies related to solar mobility to
decision makers, so as to help enhance solar power utilization, reduce buildings’ and EVs’ dependence
and impacts on the power grid, as well as carbon emissions
Funding
EU Horizon 2020 EnergyMatching project (grant number 768766)
UBMEM project of the Swedish Energy Agency (grant number 46068)
J. Gust. Richert foundation in Sweden (grant number: 2020-00586)
History
School
Mechanical, Electrical and Manufacturing Engineering
Research Unit
Centre for Renewable Energy Systems Technology (CREST)
This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/