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

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

Architectural Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
Pages	242-248
Number of pages	7
State	Published - 2012
Event	World 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 2012 → May 17 2012

Publication series

Name	World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen
Volume	1

Other

Other	World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
Country/Territory	United States
City	Denver, CO
Period	5/13/12 → 5/17/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

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

Cite this

Santos, N., James, D., Said, A., & Venkatesh, N. (2012). Determining the reliability of passive solar distillation basins and predicting the proper storage volume to meet year-round potable water demand. In World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference (pp. 242-248). (World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen; Vol. 1).

Santos, Noe ; James, Dave ; Said, Aly et al. / Determining the reliability of passive solar distillation basins and predicting the proper storage volume to meet year-round potable water demand. World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference. 2012. pp. 242-248 (World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen).

@inproceedings{792ad0f98a2c44b2889336b5705f8856,

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

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.",

author = "Noe Santos and Dave James and Aly Said and Nanda Venkatesh",

year = "2012",

language = "English (US)",

isbn = "9781622760923",

series = "World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen",

pages = "242--248",

booktitle = "World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference",

note = "World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference ; Conference date: 13-05-2012 Through 17-05-2012",

}

Santos, N, James, D, Said, A & Venkatesh, N 2012, Determining the reliability of passive solar distillation basins and predicting the proper storage volume to meet year-round potable water demand. in World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference. World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen, vol. 1, pp. 242-248, World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference, Denver, CO, United States, 5/13/12.

Determining the reliability of passive solar distillation basins and predicting the proper storage volume to meet year-round potable water demand. / Santos, Noe; James, Dave; Said, Aly et al.
World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference. 2012. p. 242-248 (World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Determining the reliability of passive solar distillation basins and predicting the proper storage volume to meet year-round potable water demand

AU - Santos, Noe

AU - James, Dave

AU - Said, Aly

AU - Venkatesh, Nanda

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84871600770

UR - https://www.scopus.com/pages/publications/84871600770#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:84871600770

SN - 9781622760923

T3 - World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen

SP - 242

EP - 248

BT - World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference

T2 - World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference

Y2 - 13 May 2012 through 17 May 2012

ER -

Santos N, James D, Said A, Venkatesh N. Determining the reliability of passive solar distillation basins and predicting the proper storage volume to meet year-round potable water demand. In World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference. 2012. p. 242-248. (World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen).

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

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this