Determining the reliability of passive solar distillation basins and predicting the proper storage volume to meet year-round potable water demand

Noe Santos, Dave James, Aly Said, Nanda Venkatesh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A study has been performed to evaluate and model the reliability of passive solar distillation systems consisting of distillation basins and water storage tanks. The genetic algorithm (GA) optimization method was used to optimize several objective functions to accurately predict daily production from local weather data. The best objective function was capable of predicting daily production with a mean absolute error as low as 11%. A system dynamics model (SDM) was created to forecast daily production and reservoir storage volume. The SDM indicated a minimum basin area requirement of 1.25 m2/per capita in order to meet daily water demand over the five year period for the latitude and weather of the Mojave Desert. The SDM also indicated that a storage volume of 600 L per capita would be sufficient to buffer both weather related, daily, and seasonal climate variations in distillate production and to provide a reliable year-round supply.

Original languageEnglish (US)
Title of host publicationWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
Pages242-248
Number of pages7
StatePublished - Dec 31 2012
EventWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference - Denver, CO, United States
Duration: May 13 2012May 17 2012

Publication series

NameWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen
Volume1

Other

OtherWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
CountryUnited States
CityDenver, CO
Period5/13/125/17/12

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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