scholarly journals Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets

2021 ◽  
Vol 293 ◽  
pp. 116649
Author(s):  
Maximilian Schücking ◽  
Patrick Jochem
Keyword(s):  
Electric Vehicles ◽  
Stochastic Program ◽  
Two Stage ◽  
The Cost

Energy After COVID

2020 ◽  
Vol 119 (820) ◽  
pp. 317-322
Author(s):  
Michael T. Klare
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
White Collar ◽  
Peak Oil ◽  
Business Travel ◽  
Reduce Energy Consumption ◽  
The Cost ◽  
Energy Companies

By transforming patterns of travel and work around the world, the COVID-19 pandemic is accelerating the transition to renewable energy and the decline of fossil fuels. Lockdowns brought car commuting and plane travel to a near halt, and the mass experiment in which white-collar employees have been working from home may permanently reduce energy consumption for business travel. Renewable energy and electric vehicles were already gaining market share before the pandemic. Under pressure from investors, major energy companies have started writing off fossil fuel reserves as stranded assets that are no longer worth the cost of extracting. These shifts may indicate that “peak oil demand” has arrived earlier than expected.

Two-Stage Optimization Strategies for Integrating Electric Vehicles in the Energy Internet

2020 ◽  
pp. 209-238
Author(s):  
William Infante ◽  
Jin Ma ◽  
Xiaoqing Han ◽  
Wei Li ◽  
Albert Y. Zomaya
Keyword(s):  
Electric Vehicles ◽  
Two Stage ◽  
Energy Internet

Risk-Averse Two-Stage Stochastic Program with Distributional Ambiguity

2018 ◽  
Vol 66 (5) ◽  
pp. 1390-1405 ◽  
Author(s):  
Ruiwei Jiang ◽  
Yongpei Guan
Keyword(s):  
Stochastic Program ◽  
Risk Averse ◽  
Two Stage

The cost of a transition to electric vehicles in Africa: A case study of Ghana

2021 ◽  
Author(s):  
G.K. Ayetor ◽  
R. Opoku ◽  
C.K.K. Sekyere ◽  
A. Agyei-Agyeman ◽  
G.R. Deyegbe
Keyword(s):  
Electric Vehicles ◽  
The Cost

completed machine would almost certainly be less than half that of a completed machine of the same kind. How s1(3) operates has been the subject of a detailed and critical analysis by Robert Goff J in the case of BP Exploration Co Ltd v Hunt (No 2), the defendant was granted a concession to explore for oil in Libya. He did not have the physical resources to carry out the exploration himself, so he sold a half share in the concession to BP, on condition that they would bear the initial cost of exploration. Accordingly, under this arrangement, BP’s expenses at the outset were likely to be very substantial, but on the assumption that oil was discovered, that expenditure would be recouped as oil continued to come on stream. The nature of the contract was that should oil not be discovered, the risk would be borne by BP, but, on the assumption that oil was discovered, BP’s expenses would be paid for out of the defendant’s receipts. Oil was discovered in 1967, but in 1971, the Libyan Government expropriated BP’s share of the concession and, in 1973, the defendant’s share was also expropriated. Accordingly, BP had received some payment, but this went only so far as to cover two-thirds of their initial expenditure. On the other hand, since the defendant had no expenses, all moneys received by him amounted to profit once the concession had been paid for. Goff J adopted a two stage approach to s1(3), stating that it was necessary first to identify and value what benefit had been conferred on the defendant, since on the wording of s1(3), this set a ceiling on the amount which could be awarded by way of a just sum. Secondly, it was necessary to award a just sum, taking account of the value of the benefit conferred and the cost to the performer of the work he had done prior to the frustrating event. For these purposes, the benefit to the defendant will be assessed by reference to the end product of the service provided by the other party: BP Exploration Co Ltd v Hunt (No 2) [1979] 1 WLR 783, p 799

1995 ◽  
pp. 388-392
Keyword(s):  
Critical Analysis ◽  
The Other ◽  
Two Stage ◽  
Initial Cost ◽  
Other Hand ◽  
Physical Resources ◽  
The Subject ◽  
To Come ◽  
The Cost

Optimal Charging Management of Microgrid-Integrated Electric Vehicles

2022 ◽  
pp. 133-155
Author(s):  
Giulio Ferro ◽  
Riccardo Minciardi ◽  
Luca Parodi ◽  
Michela Robba
Keyword(s):  
Electric Vehicles ◽  
Discrete Event ◽  
Time Discretization ◽  
Small Time ◽  
Storage Element ◽  
Charging Station ◽  
Decision Variables ◽  
Discretization Step ◽  
Definition Of ◽  
The Cost

The relevance of electric vehicles (EVs) is increasing along with the relative issues. The definition of smart policies for scheduling the EVs charging process represents one of the most important problems. A discrete-event approach is proposed for the optimal scheduling of EVs in microgrids. This choice is due to the necessity of limiting the number of the decision variables, which rapidly grows when a small-time discretization step is chosen. The considered optimization problem regards the charging of a series of vehicles in a microgrid characterized by renewable energy source, a storage element, the connection to the main grid, and a charging station. The objective function to be minimized results from the weighted sum of the cost for purchasing energy from the external grid, the weighted tardiness of the services provided, and a cost related to the occupancy of the socket. The approach is tested on a real case study.

scholarly journals Optimal Battery Sizing for Electric Truck Delivery

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 709 ◽  
Author(s):  
Donkyu Baek ◽  
Yukai Chen ◽  
Naehyuck Chang ◽  
Enrico Macii ◽  
Massimo Poncino
Keyword(s):  
Electric Vehicles ◽  
Battery Model ◽  
Weight Distributions ◽  
The Cost ◽  
Truck Weight

Finding the cost-optimal battery size in the context of parcel delivery with Electric Vehicles (EVs) requires solving a tradeoff between using the largest possible battery (so as to maximize the number of deliveries over a given time) and the relative costs (initial investment plus the unnecessary increase of the truck weight during delivery). In this paper, we propose a framework for the optimal battery sizing for parcel delivery with an electric truck; we implement an electric truck simulator including a nonlinear battery model to evaluate revenue, battery cost, charging cost, and overall profit for annual delivery. Our framework finds the cost-optimal battery size for different parcel weight distributions and customer location distributions. We analyze the effect of battery sizing on the profit, which is up to 56%.

Sign in / Sign up

Export Citation Format

Share Document