Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies

The smart rain barrel (SRB) consists of a conventional RB with storage volumes between 200 and 500 L, which is extended by a remotely (and centrally) controllable discharge valve. The SRB is capable of releasing stormwater prior to precipitation events by using high-resolution weather forecasts to i...

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Autores principales:	Martin Oberascher, Wolfgang Rauch, Robert Sitzenfrei
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	iot-based solution real-time control smartin toolbox smart rainwater harvesting weather forecasts wet weather Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/bc9a03a14117412ba27a42988130e980
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spelling	oai:doaj.org-article:bc9a03a14117412ba27a42988130e9802021-11-06T11:07:33ZEfficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies0273-12231996-973210.2166/wst.2021.159https://doaj.org/article/bc9a03a14117412ba27a42988130e9802021-06-01T00:00:00Zhttp://wst.iwaponline.com/content/83/11/2678https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732The smart rain barrel (SRB) consists of a conventional RB with storage volumes between 200 and 500 L, which is extended by a remotely (and centrally) controllable discharge valve. The SRB is capable of releasing stormwater prior to precipitation events by using high-resolution weather forecasts to increase detention capacity. However, as shown in a previous work, a large-scale implementation combined with a simultaneous opening of discharge valves clearly reduced the effectiveness. The aim of this work was to systematically investigate different control strategies for wet weather by evaluating their impact on sewer performance. For the case study, an alpine municipality was hypothetically retrofitted with SRBs (total additional storage volume of 181 m3). The results showed that combined sewer overflow (CSO) volume and subsequently pollution mass can be reduced by between 7 and 67% depending on rain characteristics (e.g., rain pattern, amount of precipitation) and an applied control strategy. Effectiveness of the SRBs increases with lower CSO volume, whereas more advanced control strategies based on sewer conditions can clearly improve the system's performance compared to simpler control strategies. For higher CSO volume, the SRBs can postpone the start of an CSO event, which is important for a first-flush phenomenon. HIGHLIGHTS An alpine municipality is hypothetically retrofitted with 384 smart rain barrels (SRBs) as an IoT-based solution for micro storages utilised for smart rainwater harvesting.; Control strategies based on sewer conditions show a clear improvement in the system's performance compared with without considering sewer states.; Efficiency is particularly high if overflow volume is in relation to storage volume of the SRBs implemented.;Martin OberascherWolfgang RauchRobert SitzenfreiIWA Publishingarticleiot-based solutionreal-time controlsmartin toolboxsmart rainwater harvestingweather forecastswet weatherEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 83, Iss 11, Pp 2678-2690 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	iot-based solution real-time control smartin toolbox smart rainwater harvesting weather forecasts wet weather Environmental technology. Sanitary engineering TD1-1066
spellingShingle	iot-based solution real-time control smartin toolbox smart rainwater harvesting weather forecasts wet weather Environmental technology. Sanitary engineering TD1-1066 Martin Oberascher Wolfgang Rauch Robert Sitzenfrei Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies
description	The smart rain barrel (SRB) consists of a conventional RB with storage volumes between 200 and 500 L, which is extended by a remotely (and centrally) controllable discharge valve. The SRB is capable of releasing stormwater prior to precipitation events by using high-resolution weather forecasts to increase detention capacity. However, as shown in a previous work, a large-scale implementation combined with a simultaneous opening of discharge valves clearly reduced the effectiveness. The aim of this work was to systematically investigate different control strategies for wet weather by evaluating their impact on sewer performance. For the case study, an alpine municipality was hypothetically retrofitted with SRBs (total additional storage volume of 181 m3). The results showed that combined sewer overflow (CSO) volume and subsequently pollution mass can be reduced by between 7 and 67% depending on rain characteristics (e.g., rain pattern, amount of precipitation) and an applied control strategy. Effectiveness of the SRBs increases with lower CSO volume, whereas more advanced control strategies based on sewer conditions can clearly improve the system's performance compared to simpler control strategies. For higher CSO volume, the SRBs can postpone the start of an CSO event, which is important for a first-flush phenomenon. HIGHLIGHTS An alpine municipality is hypothetically retrofitted with 384 smart rain barrels (SRBs) as an IoT-based solution for micro storages utilised for smart rainwater harvesting.; Control strategies based on sewer conditions show a clear improvement in the system's performance compared with without considering sewer states.; Efficiency is particularly high if overflow volume is in relation to storage volume of the SRBs implemented.;
format	article
author	Martin Oberascher Wolfgang Rauch Robert Sitzenfrei
author_facet	Martin Oberascher Wolfgang Rauch Robert Sitzenfrei
author_sort	Martin Oberascher
title	Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies
title_short	Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies
title_full	Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies
title_fullStr	Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies
title_full_unstemmed	Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies
title_sort	efficient integration of iot-based micro storages to improve urban drainage performance through advanced control strategies
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/bc9a03a14117412ba27a42988130e980
work_keys_str_mv	AT martinoberascher efficientintegrationofiotbasedmicrostoragestoimproveurbandrainageperformancethroughadvancedcontrolstrategies AT wolfgangrauch efficientintegrationofiotbasedmicrostoragestoimproveurbandrainageperformancethroughadvancedcontrolstrategies AT robertsitzenfrei efficientintegrationofiotbasedmicrostoragestoimproveurbandrainageperformancethroughadvancedcontrolstrategies
_version_	1718443757581369344

Efficient integration of IoT-based micro storages to improve urban drainage performance through advanced control strategies

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