Assessing storage requirements, water and energy savings, and costs associated with a residential rainwater harvesting system deployed across two counties in Southeast Florida
“…This article describes a nonparametric bootstrapping method that was used to determine household-level rainwater harvesting (RWH) system storage size and reliability outcomes for subsequent use in an analysis of potential savings in water and energy amounts and costs from the widespread deployment of the system across Broward and Palm Beach Counties, located in Southeast Florida, U.S.A., in Wurthmann [1]. The method was implemented in Excel and designed to determine storage size and associated reliability outcomes for RWH systems that provide for the outdoor landscape irrigation demands of single-family detached homes in the regions of interest.…”
Section: Methods Detailsmentioning
confidence: 99%
“…The method described in the present paper was developed as an alternative to seeking to obtain and implement SARET using rainfall data that does not match the 25-year format required by this tool and then utilize SARET’s output, whose description suggests it might not be ideally suited to the needs of the subsequent analyses to be performed in Wurthmann [1]. In particular, the subsequent analyses called for in Wurthmann [1] require multiple series of numeric output values for storage size and associated reliability outcomes for residential RWH systems in multiple regions, based on bootstrapped mass balance analyses, considering synthetically generated daily rainfall amounts, derived from 11 years of rainfall data, and linked to daily household-level RWH system water supply and irrigation demand values.…”
Section: Methods Detailsmentioning
confidence: 99%
“…This method was illustrated using the case example of identifying storage sizes and associated reliabilities for RWH systems designed to provide for the outdoor landscape irrigation demands at single-family detached homes in Broward and Palm Beach Counties in Florida. Wurthmann [1] presents the application of this data in a subsequent study, analyzing potential savings in water and energy amounts and costs that could result from the widespread deployment of residential RWH systems for outdoor landscape irrigation in Southeast Florida.…”
“…This article describes a nonparametric bootstrapping method that was used to determine household-level rainwater harvesting (RWH) system storage size and reliability outcomes for subsequent use in an analysis of potential savings in water and energy amounts and costs from the widespread deployment of the system across Broward and Palm Beach Counties, located in Southeast Florida, U.S.A., in Wurthmann [1]. The method was implemented in Excel and designed to determine storage size and associated reliability outcomes for RWH systems that provide for the outdoor landscape irrigation demands of single-family detached homes in the regions of interest.…”
Section: Methods Detailsmentioning
confidence: 99%
“…The method described in the present paper was developed as an alternative to seeking to obtain and implement SARET using rainfall data that does not match the 25-year format required by this tool and then utilize SARET’s output, whose description suggests it might not be ideally suited to the needs of the subsequent analyses to be performed in Wurthmann [1]. In particular, the subsequent analyses called for in Wurthmann [1] require multiple series of numeric output values for storage size and associated reliability outcomes for residential RWH systems in multiple regions, based on bootstrapped mass balance analyses, considering synthetically generated daily rainfall amounts, derived from 11 years of rainfall data, and linked to daily household-level RWH system water supply and irrigation demand values.…”
Section: Methods Detailsmentioning
confidence: 99%
“…This method was illustrated using the case example of identifying storage sizes and associated reliabilities for RWH systems designed to provide for the outdoor landscape irrigation demands at single-family detached homes in Broward and Palm Beach Counties in Florida. Wurthmann [1] presents the application of this data in a subsequent study, analyzing potential savings in water and energy amounts and costs that could result from the widespread deployment of residential RWH systems for outdoor landscape irrigation in Southeast Florida.…”
“…To account for this uncertainty it is common practice to provide high and low series of population projections, rather than provide just one series of medium projections [2,3,5]. Accordingly, the present and related research articles [1,2,5] developed high and low projections for population growth in Broward and Palm Beach Counties.…”
Section: Datamentioning
confidence: 99%
“…Data accessibilityAll raw and analysed data are included with this article. Please see data in article and Table 1, Table 2, Table 3.Related research articleKurt WurthmannAssessing storage requirements, water and energy savings, and costs associated with a residential rainwater harvesting system deployed across two counties in Southeast FloridaJournal of Environmental ManagementVolume 252, 15 December 2019, 109673 [1]…”
This article presents yearly data for the period 2020–2060 on estimates for population growth and associated numbers of new and existing single-family detached homes to be fit or retrofit with rainwater harvesting (RWH) system equipment for lawn irrigation in order to continuously offset new water demand created by new residents in Broward and Palm Beach Counties, Florida. Annual data on financing costs for capital equipment and its replacement and savings in amounts of groundwater and associated water supply energy amounts and costs are also provided. The methods for determining and using the data presented in this article, along with related data, for the purpose of analyzing the feasibility of a widely-deployed residential rainwater harvesting (RWH) system in a heavily populated region in Southeast Florida are discussed in detail in Wurthmann [1]. The data presented here can be used by policy makers as a decision support tool for assessing broad outcomes related to population and single-family housing growth in Broward and Palm Beach Counties. They can also be used for more circumscribed outcomes related to developing implementation plans and assessing capital and financing costs and savings in water and energy amounts and costs for countywide RWH system installations. The data were derived from various expert projections, data from the U.S. Census Bureau, National Association of Home Builders (NAHB), Florida Department of Revenue and Property Tax, American Water Resources Association (AWRA), South Florida Water Management District (SFWMD), Electric Power Research Institute (EPRI), Energy Information Administration (EIA), and vendors of RWH system equipment, and customized calculations developed in Wurthmann [1].
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