Results 21 to 30 of about 1,784 (187)
An assessment of electric vehicles and vehicle to grid operations for residential microgrids
Energy Reports, 2022 Electric Vehicles (EVs) are a rapidly growing technology which can lower greenhouse-gas emissions in the transport and energy sectors. The EV batteries can discharge the stored energy back to grid, also known as Vehicle-to-Grid (V2G) which can support ...
Daniel O’Neill +2 more
doaj +1 more source
GeodermaThe growing frequency, extent and severity of wildfire is destabilizing carbon sinks in western North America, underscoring an urgent need to better understand fire impacts on soil carbon stocks, carbon stability, and fungi that regulate soil carbon ...
Timothy J. Philpott +3 more
doaj +1 more source
IGDT-Based Wind–Storage–EVs Hybrid System Robust Optimization Scheduling Model
Energies, 2019 Wind power has features of uncertainty. When wind power producers (WPPs) bid in the day-ahead electricity market, how to deal with the deviation between forecasting output and actual output is one of the important topics in the design of electricity ...
Bo Sun, Simin Li, Jingdong Xie, Xin Sun
doaj +1 more source
Identifying indigenous knowledge components for Whudzih (Caribou) recovery planning
FACETSIn Canada, recent advances towards reconciliation have introduced new collaborations between Indigenous and non-Indigenous governments, including for species-at-risk recovery planning.
Pauline Priadka +2 more
doaj +1 more source
Vehicle to Grid Impacts on the Total Cost of Ownership for Electric Vehicle Drivers
World Electric Vehicle Journal, 2021 Electric vehicles (EV) are foreseen as one major technology toward decarbonizing the mobility sector. At the same time, Vehicle to Grid (V2G) technology opens a new market for EV owners.
Dominik Huber +5 more
doaj +1 more source
Intelligent Electric Drive Systems for Next Generation Electric Vehicles [PDF]
E3S Web of ConferencesThe advanced Tesla electric vehicles utilize some of the most cutting-edge technologies to lead the industry. Innovative adaptive control and machine learning techniques are the main topics of this study, which aims to improve energy efficiency, torque ...
Goswami Anjali, Dusi Prerna
doaj +1 more source
Optimal scheduling of smart building microgrids based on AQPSO
Zhejiang dianliTo enhance the economic efficiency and low-carbon performance of smart building operations， this paper proposes an optimal economic scheduling strategy for smart building microgrids based on the adaptive quantum particle swarm optimization （AQPSO ...
YE Aoshuang +5 more
doaj +1 more source
Electric Vehicles as Electricity Storages in Electric Power Systems
Logistics & Sustainable Transport, 2018 Improvements in battery technology make electric vehicles more and more suitable for the use as electricity storages. Many benefits could be achieved by using electric vehicles for storing electricity in their batteries.
Popović Vlado +5 more
doaj +1 more source
Hierarchical Optimization Model Based on V2G Technology [PDF]
, 2021 Large-scale electric vehicle (EV) random access to the power grid, the load peak-valley difference will become larger, seriously affect the stable operation of the power grid. In this paper, a V2G based bi-level optimal scheduling model for EV charging and discharging is proposed.
Wei Luo, Xiaohu Zhu, Liansong Yu
openaire +1 more source
Energy Science &Engineering, EarlyView.This graphical abstract illustrates the evolution of wireless electric vehicle charging from unidirectional wireless power transfer to bidirectional wireless power transfer (BWPT) and toward future intelligent, autonomous wireless energy systems.
P. V. Elumalai +6 more
wiley +1 more source