Automated Author ProfileGrāvelsiņš, A.
RTU0000-0002-4936-5233
Grāvelsiņš, A.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 10.8 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data set from (1) Danish, Latvian and Italian desk-top case studies on energy saving potential, including description and output from building simulation using national simulation tools, referring to RIBuild Task 5.1. (2) LCA and LCC analyses on Italian case study, referring to RIBuild Task 5.2 and 5.3. Overview of data files to be found in ’RIBuild data WP5 Case studies’ as part of this dataset. Further details to be found in RIBuild deliverable D5.1 (Task 5.1 and 5.2) and D5.2 (Task 5.3).
Authors
- Wittchen, K.B. ;
- Blumberga, A. ;
- Kamendere, E. ;
- Freimanis, R. ;
- Grāvelsiņš, A. ;
- Di Giuseppe, E. ;
- D'Orazio, M. ;
- Maracchini, G. ;
- Morgane, G. ;
- Lasvaux, S.
Data set from (1) Danish, Latvian and Italian desk-top case studies on energy saving potential, including description and output from building simulation using national simulation tools, referring to RIBuild Task 5.1. (2) LCA and LCC analyses on Italian case study, referring to RIBuild Task 5.2 and 5.3. Overview of data files to be found in ’RIBuild data WP5 Case studies’ as part of this dataset. Further details to be found in RIBuild deliverable D5.1 (Task 5.1 and 5.2) and D5.2 (Task 5.3).
Authors
- Wittchen, K.B. ;
- Blumberga, A. ;
- Kamendere, E. ;
- Freimanis, R. ;
- Grāvelsiņš, A. ;
- Di Giuseppe, E. ;
- D'Orazio, M. ;
- Maracchini, G. ;
- Morgane, G. ;
- Lasvaux, S.
This dataset consists of 1) Excel sheets with material properties for a) a collection of historic building materials and b) insulation materials suited for internal insulation. Material properties were collected from all RIBuild partner countries. The main purpose was to locate data set not included in the DELPHIN database that contained the needed data for DELPHIN simulations. 2) Excel sheets with material properties for specific historic building materials used in Italy and Switzerland. As these materials were supposed to be included in hygrothermal simulations with DELPHIN performed in RIBuild, a full material characterization was required as described in RIBuild deliverable D2.1 and in the DELPHIN specifications. Material characterization was performed at RTU. Requirements concerning input need for DELPHIN simulations are described in RIBuild deliverable D2.1. Overview of data files to be found in 'RIBuild data WP2 Mat Prop' as part of this dataset.
Authors
- Vereecken, E. ;
- Vanhoutteghem, L. ;
- Hansen, T. K. ;
- Blumberga, A. ;
- Veidenbergs, I. ;
- Blumberga, D. ;
- Grāvelsiņš, A. ;
- Freimanis, R. ;
- Freudenberg, P. ;
- Gianangeli, A. ;
- D'Orazio, M. ;
- Quagliarini, E. ;
- Esad, A. ;
- Ekstrand-Tobin, A. ;
- Ståhl, F. ;
- Favre, D. ;
- Giorgi, M.
This dataset consists of 1) Excel sheets with material properties for a) a collection of historic building materials and b) insulation materials suited for internal insulation. Material properties were collected from all RIBuild partner countries. The main purpose was to locate data set not included in the DELPHIN database that contained the needed data for DELPHIN simulations. 2) Excel sheets with material properties for specific historic building materials used in Italy and Switzerland. As these materials were supposed to be included in hygrothermal simulations with DELPHIN performed in RIBuild, a full material characterization was required as described in RIBuild deliverable D2.1 and in the DELPHIN specifications. Material characterization was performed at RTU. Requirements concerning input need for DELPHIN simulations are described in RIBuild deliverable D2.1. Overview of data files to be found in 'RIBuild data WP2 Mat Prop' as part of this dataset.
Authors
- Vanhoutteghem, L. ;
- Hansen, T. K. ;
- Blumberga, A. ;
- Veidenbergs, I. ;
- Blumberga, D. ;
- Grāvelsiņš, A. ;
- Freimanis, R. ;
- Freudenberg, P. ;
- Vereecken, E. ;
- Gianangeli, A. ;
- D'Orazio, M. ;
- Quagliarini, E. ;
- Esad, A. ;
- Ekstrand-Tobin, A. ;
- Ståhl, F. ;
- Favre, D. ;
- Giorgi, M.
Database prepared in Excel including four elements, as background information for RIBuild Deliverable D1.1 about the historic building stock: Historic buildings stock energy consumption (1) Historic building stock description (2) Building construction elements (3) Case studies (4) Element (1)-(3) are referring to the historic building stock in RIBuild partner countries in general, while element (4) contains examples of carried out renovation projects, involving internal insulation of a historic building. If available, the case study sheets contain information about the floor area, present use, the building envelope (thickness, materials), renovation history, pre- and post-energy usage and renovation cost. Further, information about typical defects and the main driving forces for the renovation project, planning or design tools used, whether the goal with the renovation was achieved and the satisfaction of the users. Overview of data files to be found in 'RIBuild data WP1' as part of this dataset.
Authors
- Morelli, M. ;
- Blumberga, A. ;
- Veidenbergs, I. ;
- Blumberga, D. ;
- Grāvelsiņš, A. ;
- Conrad, C. ;
- Sönchen, A. ;
- Freudenberg, P. ;
- Deurinck, M. ;
- D'Orazio, M. ;
- Quagliarini, E. ;
- Di Perna, C. ;
- Di Giuseppe, E. ;
- Hansen, T.K. ;
- Ståhl, F. ;
- Lasvaux, S. ;
- Padey, P.
Database prepared in Excel including four elements, as background information for RIBuild Deliverable D1.1 about the historic building stock: Historic buildings stock energy consumption (1) Historic building stock description (2) Building construction elements (3) Case studies (4) Element (1)-(3) are referring to the historic building stock in RIBuild partner countries in general, while element (4) contains examples of carried out renovation projects, involving internal insulation of a historic building. If available, the case study sheets contain information about the floor area, present use, the building envelope (thickness, materials), renovation history, pre- and post-energy usage and renovation cost. Further, information about typical defects and the main driving forces for the renovation project, planning or design tools used, whether the goal with the renovation was achieved and the satisfaction of the users. Overview of data files to be found in 'RIBuild data WP1' as part of this dataset.
Authors
- Morelli, M. ;
- Blumberga, A. ;
- Veidenbergs, I. ;
- Blumberga, D. ;
- Grāvelsiņš, A. ;
- Conrad, C. ;
- Sönchen, A. ;
- Freudenberg, P. ;
- Deurinck, M. ;
- D'Orazio, M. ;
- Quagliarini, E. ;
- Di Perna, C. ;
- Di Giuseppe, E. ;
- Hansen, T.K. ;
- Ståhl, F. ;
- Lasvaux, S. ;
- Padey, P.