2023
DOI: 10.3390/en16073195
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Study of an nZEB Office Building with Storage in Electric Vehicle Batteries and Dispatch of a Natural Gas-Fuelled Generator

Abstract: The rapid electrification of vehicles has led to a great increase in numbers of charging stations and a growing appetite for charging power, with stochastic charging behaviours heavily loading the electricity grid. The upcoming difficulties and increasing costs associated with electricity production will require a rapid development of smart grids and city networks. Smart micro-grids established in nearly zero-energy buildings (nZEB) are a promising strategy to support grid stability and resilience at a reduced… Show more

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Cited by 1 publication
(2 citation statements)
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“…During working hours, the car batteries may discharge, when necessary (up to a 30 kW maximum total discharge power) to cover building loads. An Soc min optimization study has already been carried out using GenOpt for a similar system, giving the value of Soc min = 0.36, which is adopted here [40].…”
Section: Dispatch Logic For Various Sourcesmentioning
confidence: 99%
See 1 more Smart Citation
“…During working hours, the car batteries may discharge, when necessary (up to a 30 kW maximum total discharge power) to cover building loads. An Soc min optimization study has already been carried out using GenOpt for a similar system, giving the value of Soc min = 0.36, which is adopted here [40].…”
Section: Dispatch Logic For Various Sourcesmentioning
confidence: 99%
“…On the other hand, another electric power source is already available as standard equipment in commercial and public buildings in the form of diesel-powered engine generator sets for emergency power supply. A study of the effect of fueling a building's genset using natural gas [40] pointed to its optimal sizing as an additional power source, resulting in limited electricity imports from the grid. Now, the problem with this type of configuration is caused by the lack of long-term electricity storage.…”
Section: Introductionmentioning
confidence: 99%