The nation faces tremendous costs required to maintain and improve its water and wastewater infrastructure. Effective management of water delivery and treatment systems would benefit from a regular national water demand data collection effort that captures consumption by economic sector as well as by end use. A water demand survey would provide the data necessary to better understand water demand trends, and ultimately to assess implications for water infrastructure needs and the U.S. economy. This report summarizes current publicly available water demand information and recommends data parameters for a national water demand survey.

This report describes the analytical models Lawrence Berkeley National Laboratory (LBNL) developed to estimate impacts of the U.S. Environmental Protection Agency’s (EPA’s) WaterSense® labeling program. The models assess national impacts for WaterSense labeled toilets, faucets, faucet aerators, showerheads, flushing urinals, commercial pre-rinse spray valves, and weather or soil moisture sensor-based irrigation controllers (WBICs) by analyzing national inputs for water use in residential and commercial/institutional (CI) markets. For irrigation controllers, LBNL’s methodology also incorporates a scenario that evaluates impacts in three key large states that are considered to be the principal market for “smart” irrigation controllers: California, Florida, and Texas. The models estimate impacts for the water savings attributable to the program and the net present value (NPV) of the lifetime water savings from more efficient products.

This report describes the analytical models Lawrence Berkeley National Laboratory (LBNL) developed to estimate impacts of the U.S. Environmental Protection Agency’s (EPA’s) WaterSense® labeling program. The models assess national impacts for WaterSense labeled toilets, faucets, faucet aerators, showerheads, flushing urinals, commercial pre-rinse spray valves, and weather or soil moisture sensor-based irrigation controllers (WBICs) by analyzing national inputs for water use in residential and commercial/institutional (CI) markets. For irrigation controllers, LBNL’s methodology also incorporates a scenario that evaluates impacts in three key large states that are considered to be the principal market for “smart” irrigation controllers: California, Florida, and Texas. The models estimate impacts for the water savings attributable to the program and the net present value (NPV) of the lifetime water savings from more efficient products.

This report describes the analytical models Lawrence Berkeley National Laboratory (LBNL) developed to estimate impacts of the U.S. Environmental Protection Agency’s (EPA’s) WaterSense® labeling program. The models assess national impacts for WaterSense labeled toilets, faucets, faucet aerators, showerheads, flushing urinals, commercial pre-rinse spray valves, and weather or soil moisture sensor-based irrigation controllers (WBICs) by analyzing national inputs for water use in residential and commercial/institutional (CI) markets. For irrigation controllers, LBNL’s methodology also incorporates a scenario that evaluates impacts in three key large states that are considered to be the principal market for “smart” irrigation controllers: California, Florida, and Texas. The models estimate impacts for the water savings attributable to the program and the net present value (NPV) of the lifetime water savings from more efficient products.