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California Green Building Code (CALGreen) – Exterior wall shading

CALGreen – These steps are being taken to lessen the amount of heat gain caused by sun exposure. A structure’s outside surfaces are exposed to more sunlight at specific periods of the year. By screening the windows from the outside, the reduction in heat gain via windows may be greatly decreased. Additionally, boosting the reflectivity of opaque walls is meant to lessen the area’s heat island impact.

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California Green Building Code (CALGreen) – Water conserving plumbing fixtures and fittings

CALGreen – To lower the amount of potable water used inside by allowing nonwater-supplied urinals as a fixture. To reduce water use and the corresponding energy consumption, a variety of technologies and strategies can be used. These include water-saving plumbing devices like waterless urinals, ultra-low-flow toilets, sinks with flow restrictions, and showerheads, as well as dishwashers and washing machines.

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California Green Building Code (CALGreen) – Restoration of areas disturbed by construction

CALGreen – By reestablishing damaged or previously built landscapes with locally adapted vegetation, including native species, these actions aim to decrease the demand of potable water for landscape irrigation. It is intended to help with erosion management and storm water pollution prevention both during and after construction. It also aims to prevent the growth of invasive alien plants, which has a propensity to overwhelm ecosystems and decrease the diversity of flora and animals.

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California Green Building Code (CALGreen) – Life Cycle Assessment

CALGreen – By designing buildings with extended life cycles, this technique seeks to indirectly conserve energy and resources. The organisations listed in the code are producing and gathering data on many kinds of materials and systems. It is obvious that this data gathering must continue for numerous generations in order to do long span life cycle analysis. Only then will the cost and life cycle be measured, resulting in a more accurate data set for the most efficient materials and processes.

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