1.4.4 Carbon Storage Score

Last modified by Emily West on 2022/01/12 18:32

1.4.4 Carbon Storage Score

Pillar of Sustainable DevelopmentSocietal challenge
Planet1 - Climate Resilience
Description

The CSS (Carbon Storage Score) describes the total amount of stored CO2 within the vegetation and soil of a project area.

It expresses the carbon storage performance of the NBS in a project area. Carbon dioxide is the most relevant greenhouse gas. The ability to capture carbon dioxide is most relevant in climate change mitigation.

Scale as linked to D2.2 framework
  • City
  • Neighborhood 
  • Street
  • Household
  • Object
Data source [ link to data framework]
  • Satellite imagery 
Data needs
  • 3D model with surface and vegetation types including characteristics
  • project area
  • NBS typoloy
Expected Outputs
  • numerical value in kg/day
Calculation methods
  • modelling, simulation tools and GREENPASS® analysis and calculation
Links and references
  • Kraus, F. (2017): The GREENPASS® Methodology. Pan European Network – Government 23 publication. October 2017.
  • Scharf, B.; Schnepf, D. (2017): H2020: Special Report: Greenpass – unleash the power of green.
  • Scharf, B. (2018): Coole Städte planen – Mit der „Greenpass Methode“. Neue Landschaft 01/2018. ISSN 0548-2836. Patzer Verlag. Berlin-Hannover. 2018.
  • Scharf, B.; Kraus, F. (2019): Green Roofs and Greenpass. Buildings 2019, 9, 205.
  • Elagiry, M.; Kraus, F.; Scharf B., Costa, A.; De 2019 Lotto, R. (2019): Nature4Cities: Nature-Based Solutions and Climate Resilient Urban Planning and Modelling with GREENPASS® - A Case Study in Segrate/Milano/IT. 16th IBPSA - International Building Performance Simulation Association Conference.
  • Kraus, F.; Scharf, B. (2020): IT-gesteuerte Natur in der dichten Stadt. Neue Landschaft 01/2020.
  • Kraus, F.; Scharf, B. (2019): Management of urban climate adaptation with NBS and GREENPASS®. Geophysical Research Abstracts. Vol. 21, EGU2019-16221-1, 2019 EGU General Assembly 2019.
  • Kraus, F.; Scharf, B. (2019): Climate-resilient urban planning and architecture with GREENPASS illustrated by the case study 'FLAIR in the City' in Vienna. OP Conf. Ser.: Earth Environ. Sci. 323 012087.
  • Kainz, A.; Hollosi, B.; Zuvela-Aloise, M.; Kraus, F.; Scharf, B.; Tötzer, T.; Züger, J.; Reinwald, F. (2019): Modelling the effects of implementing green infrastructure to support urban climate change adaptation and resilient urban planning. EMS Annual Meeting Abstracts Vol. 16, EMS2019- 341, 2019.
  • Nature4Cities, D2.1 - System of integrated multi-scale and multi thematic performance indicators for the assessment of urban challenges and NBS. https://www.nature4cities.eu/post/nature4cities-defined performance-indicators-to-assess-urban-challenges-and nature-based-solutions.
  • Nature4Cities, D2.2 - Expert-modelling toolbox
  • Nature4Cities, D2.3 – NBS database completed with urban performance data https://www.nature4cities.eu/post/applicability-urban-challenges and-indicators-real-case-studies
  • Nature4Cities, D2.4 - Development of a simplified urban performance assessment (SUA) tool

Revisions

VersionNameDateChanges made
0.1Emily (EcoWise)12/01/2022Factsheet created