The long term benefits and costs of many technologies and control applications of the next future will depend on short time span dynamics. The resolution of most available economic energy system models is not able to detect their impact on the long time horizon. By adding equations to the code of OSeMOSYS, the open source energy system model, we enabled electric vehicles and related smart control strategies to be taken into account in a long term perspective. An application to a local case study explores the effect of the penetration of the electric vehicles on the power load and the role of the smart control strategies in shaving the additional peaks and pursuing environmental targets.
Including smart charging and vehicle-to-grid strategies in long term energy models
FATTORI, FABRIZIO;ANGLANI, NORMA
2014-01-01
Abstract
The long term benefits and costs of many technologies and control applications of the next future will depend on short time span dynamics. The resolution of most available economic energy system models is not able to detect their impact on the long time horizon. By adding equations to the code of OSeMOSYS, the open source energy system model, we enabled electric vehicles and related smart control strategies to be taken into account in a long term perspective. An application to a local case study explores the effect of the penetration of the electric vehicles on the power load and the role of the smart control strategies in shaving the additional peaks and pursuing environmental targets.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
