Abstract
| Original language | English |
|---|---|
| Journal | Renewable Energy |
| Volume | 118 |
| Pages (from-to) | 425-436 |
| ISSN | 0960-1481 |
| DOIs | |
| Publication status | Published - 2018 |
Cite this
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Simulation of transcontinental wind and solar PV generation time series. / Nuño Martinez, Edgar; Maule, Petr; Hahmann, Andrea N.; Cutululis, Nicolaos Antonio; Sørensen, Poul Ejnar; Karagali, Ioanna.
In: Renewable Energy, Vol. 118, 2018, p. 425-436.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Simulation of transcontinental wind and solar PV generation time series
AU - Nuño Martinez, Edgar
AU - Maule, Petr
AU - Hahmann, Andrea N.
AU - Cutululis, Nicolaos Antonio
AU - Sørensen, Poul Ejnar
AU - Karagali, Ioanna
PY - 2018
Y1 - 2018
N2 - The deployment of Renewable Energy Sources (RES) is driving modern power systems towards a fundamental green transition. In this regard, there is a need to develop models to accurately capture the variability of wind and solar photovoltaic (PV) power, at different geographical and temporal scales. This paper presents a general methodology based on meteorological reanalysis techniques allowing to simulate aggregated RES time series over large geographical areas. It also introduces a novel PV conversion approach based on aggregated power curves in order to capture the uncertainty associated to the technical characteristics of individual installations spread across large regions. The proposed methodology is validated using actual power data in Europe and can be applied to represent intermittent generation in network development plans, reliability and market studies, as well as operational guidelines.
AB - The deployment of Renewable Energy Sources (RES) is driving modern power systems towards a fundamental green transition. In this regard, there is a need to develop models to accurately capture the variability of wind and solar photovoltaic (PV) power, at different geographical and temporal scales. This paper presents a general methodology based on meteorological reanalysis techniques allowing to simulate aggregated RES time series over large geographical areas. It also introduces a novel PV conversion approach based on aggregated power curves in order to capture the uncertainty associated to the technical characteristics of individual installations spread across large regions. The proposed methodology is validated using actual power data in Europe and can be applied to represent intermittent generation in network development plans, reliability and market studies, as well as operational guidelines.
U2 - 10.1016/j.renene.2017.11.039
DO - 10.1016/j.renene.2017.11.039
M3 - Journal article
VL - 118
SP - 425
EP - 436
JO - Renewable Energy
JF - Renewable Energy
SN - 0960-1481
ER -