TY - JOUR
T1 - Energy storage technologies as techno-economic parameters for master-planning and optimal dispatch in smart multi energy systems
AU - Mazzoni, Stefano
AU - Ooi, Sean
AU - Nastasi, Benedetto
AU - Romagnoli, Alessandro
PY - 2019
Y1 - 2019
N2 - Smart multi-energy systems based on distributed polygeneration power plants have gained increasing attention for having shown the capability of significant primary energy savings and reduced CO2 pollutant emissions due to the high renewable energy sources penetration. Compared to the traditional power plants, the large variability in the end-user demands (electricity, heat and cold energy), coupled with the uncertainty in the solar and wind energy availability, require the adoption of energy storage systems for dampening the intermittency problems and for performing peak shaving. In a multi-energy system, energy storage technologies typically exist in the form of electrochemical energy and thermal energy storage. Costs and technological limits of energy storage systems are the key parameters that influence the optimal design and operation of the system. In this paper, by adopting an in-house developed simulation tool (
AB - Smart multi-energy systems based on distributed polygeneration power plants have gained increasing attention for having shown the capability of significant primary energy savings and reduced CO2 pollutant emissions due to the high renewable energy sources penetration. Compared to the traditional power plants, the large variability in the end-user demands (electricity, heat and cold energy), coupled with the uncertainty in the solar and wind energy availability, require the adoption of energy storage systems for dampening the intermittency problems and for performing peak shaving. In a multi-energy system, energy storage technologies typically exist in the form of electrochemical energy and thermal energy storage. Costs and technological limits of energy storage systems are the key parameters that influence the optimal design and operation of the system. In this paper, by adopting an in-house developed simulation tool (
KW - Energy storage systems
KW - Master planning
KW - Optimal economic dispatch
KW - Polygeneration power plant
UR - http://www.scopus.com/inward/record.url?scp=85070873244&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2019.113682
DO - 10.1016/j.apenergy.2019.113682
M3 - Article
AN - SCOPUS:85070873244
SN - 0306-2619
VL - 254
JO - Applied Energy
JF - Applied Energy
M1 - 113682
ER -
