In the study, seven urban tree species were identified as the top candidates for terrestrial carbon storage in water-stressed Californian regions, which are also the regions with the worst air quality in the nation.Īlthough the present study is focused on particular water-stressed and air-polluted regions of California, the methodology and strategies presented may serve as a starting point for launching site-specific scoping studies to evaluate the terrestrial carbon storage potential of future urban forest projects in other parts of the world. This study is focused on finding native candidate trees that are drought-resistant, and could continue to store (sequester) atmospheric carbon in significant quantities over an extended period (> 100 years). The systematic screening of candidate tree species and preliminary estimations of their atmospheric carbon removal potential can help stakeholders and policymakers devise site-specific strategies for developing and maintaining sustainable urban forest acreage.
However, the development of large-scale urban forest acreage is not an easy undertaking, and will require significant resources. Replacing optimal static with TC coatings on terraced houses in the Spanish climate with a 2:3 heating to cooling demand ratio results in 2 to 13% energy savings.Terrestrial carbon storage is one of many different ways to tackle the problem of greenhouse gases (GHG) emissions resulting from non-point sources. Furthermore, it was found that solar irradiance causes temperature spikes triggering the TC coatings to unnecessarily switch from high to low absorptance state in winters leading to heating penalties.
Similarly, increasing the high solar absorption (α high) to 1 increases the heating savings, while reducing the low solar absorption (α low) to 0 results in higher cooling savings. TC coatings with high switching temperatures result in larger energy savings for scenarios with high heating demands, while TC coatings with low switching temperatures produce larger energy savings in scenarios with high cooling demands.
The results indicate that the optimum TC properties are unique to climate and building types. The simulation-based approach has been employed to perform early-stage exploration studies on multiple building types and climates to support material R&D in developing optimized coatings for target applications and assess the potential energy savings. In this research, a method to model TC coatings using building performance simulation (BPS) tools has been developed and coupled with python to optimize solar absorption states (α) and switching temperatures and reduce the annual heating and cooling demand. To date, limited research has been conducted in investigating optimal TC coating properties for application on opaque building envelopes in various scenarios. When coatings with TC properties are applied on building envelope surfaces, the amount of solar heat gains can be controlled to reduce the heating and cooling demand of buildings.
Thermochromic (TC) materials can switch solar absorptance (α) based on temperature stimuli.
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