| 1. |
- Ceran, Bartosz, et al.
(författare)
-
PV systems integrated with commercial buildings for local and national peak load shaving in Poland
- 2021
-
Ingår i: Journal of Cleaner Production. - : ELSEVIER SCI LTD. - 0959-6526 .- 1879-1786. ; 322
-
Tidskriftsartikel (refereegranskat)abstract
- A reduction of demand for electrical power in peak periods, commonly called peak shaving, is beneficial for customers from the economic point of view. However, it is also of considerable importance for the National Power System operation in terms of grid stability. This research focuses on the issue of nationwide potential of peak shaving by PV installations in office buildings in Poland. It is assumed that this sector can play a significant role in decreasing the demand for peak power on a large scale. The modelling of office building load was conducted with the use of an Artificial Neural Network. The study took into consideration different tilt and orientation configurations of PV modules as well as their degradation. The impact of peak shaving on the National Power System was assessed on the basis of the monthly peak load balancing factor. The influence of PV installations on grid infrastructure was estimated based on changes in transformer lifetime. The research showed that the optimum PV capacity for an average office building was approximately 600-800 kW(p) with a south orientation and tilt angle of 30 degrees. The highest peak shaving capacity on the country level is observed for PV systems with a south-east orientation. 273.75 MWp in PV capacity reduces the maximum national load by 200 MW in May. The analysed PV system producing electricity for self-consumption, can prolong the lifetime of the overloaded transformer connected to the office building by up to 36%.
|
|
| 2. |
- Forzieri, Giovanni, et al.
(författare)
-
The Database of European Forest Insect and Disease Disturbances: DEFID2
- 2023
-
Ingår i: Global Change Biology. - 1365-2486. ; 29:21, s. 6040-6065
-
Tidskriftsartikel (refereegranskat)abstract
- Insect and disease outbreaks in forests are biotic disturbances that can profoundly alter ecosystem dynamics. In many parts of the world, these disturbance regimes are intensifying as the climate changes and shifts the distribution of species and biomes. As a result, key forest ecosystem services, such as carbon sequestration, regulation of water flows, wood production, protection of soils, and the conservation of biodiversity, could be increasingly compromised. Despite the relevance of these detrimental effects, there are currently no spatially detailed databases that record insect and disease disturbances on forests at the pan-European scale. Here, we present the new Database of European Forest Insect and Disease Disturbances (DEFID2). It comprises over 650,000 harmonized georeferenced records, mapped as polygons or points, of insects and disease disturbances that occurred between 1963 and 2021 in European forests. The records currently span eight different countries and were acquired through diverse methods (e.g., ground surveys, remote sensing techniques). The records in DEFID2 are described by a set of qualitative attributes, including severity and patterns of damage symptoms, agents, host tree species, climate-driven trigger factors, silvicultural practices, and eventual sanitary interventions. They are further complemented with a satellite-based quantitative characterization of the affected forest areas based on Landsat Normalized Burn Ratio time series, and damage metrics derived from them using the LandTrendr spectral–temporal segmentation algorithm (including onset, duration, magnitude, and rate of the disturbance), and possible interactions with windthrow and wildfire events. The DEFID2 database is a novel resource for many large-scale applications dealing with biotic disturbances. It offers a unique contribution to design networks of experiments, improve our understanding of ecological processes underlying biotic forest disturbances, monitor their dynamics, and enhance their representation in land-climate models. Further data sharing is encouraged to extend and improve the DEFID2 database continuously. The database is freely available at https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/FOREST/DISTURBANCES/DEFID2/.
|
|
