TY - JOUR
T1 - Renewable electricity integration at a regional level
T2 - Cantabria case study
AU - Dominguez-Ramos, Antonio
AU - Triantafyllidis, Charalampos
AU - Samsatli, Sheila
AU - Shah, Nilay
AU - Irabien, Angel
PY - 2016
Y1 - 2016
N2 - Sustainability Energy Programs (SEPs) determine the operative way in which the different energy vectors must be provided to final industrial, domestic or transport customers, as target demands for each final form of energy. In order to reduce the current huge regional electric deficit of the Cantabria region (northern Spain) due to imports from neighboring regions, a restructured, integrated system based mainly on wind on-shore power for 2020 is envisaged by the SEP of Cantabria. In this work, results of a Resource-Task Network model for the electricity grid have been developed as a previous step to feed the STeMES model for a better temporal resolution that can consider energy storage. A MILP optimization problem is solved for the minimization of the total cost of the electricity network capable of supplying the electricity demand in Cantabria for the 2020 horizon, using as a starting point the 2014 generation, transformation and distribution structure.
AB - Sustainability Energy Programs (SEPs) determine the operative way in which the different energy vectors must be provided to final industrial, domestic or transport customers, as target demands for each final form of energy. In order to reduce the current huge regional electric deficit of the Cantabria region (northern Spain) due to imports from neighboring regions, a restructured, integrated system based mainly on wind on-shore power for 2020 is envisaged by the SEP of Cantabria. In this work, results of a Resource-Task Network model for the electricity grid have been developed as a previous step to feed the STeMES model for a better temporal resolution that can consider energy storage. A MILP optimization problem is solved for the minimization of the total cost of the electricity network capable of supplying the electricity demand in Cantabria for the 2020 horizon, using as a starting point the 2014 generation, transformation and distribution structure.
UR - http://dx.doi.org/10.1016/B978-0-444-63428-3.50040-0
U2 - 10.1016/B978-0-444-63428-3.50040-0
DO - 10.1016/B978-0-444-63428-3.50040-0
M3 - Article
SN - 1570-7946
VL - 38
SP - 211
EP - 216
JO - Computer Aided Chemical Engineering
JF - Computer Aided Chemical Engineering
ER -
