Monitoring and evaluation of building ventilation system fans operation using performance curves

Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present wo...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Mahendra Singh [verfasserIn] Muhyiddine Jradi [verfasserIn] Hamid Reza Shaker [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Buildings Ventilation system Fan unit Performance curve Modeling Fan efficiency

Übergeordnetes Werk:	In: Energy and Built Environment - KeAi Communications Co., Ltd., 2020, 1(2020), 3, Seite 307-318
Übergeordnetes Werk:	volume:1 ; year:2020 ; number:3 ; pages:307-318

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.enbenv.2020.04.001

Katalog-ID:	DOAJ056205171

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ056205171
003	DE-627
005	20230308195901.0
007	cr uuu---uuuuu
008	230227s2020 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.enbenv.2020.04.001 \|2 doi
035			\|a (DE-627)DOAJ056205171
035			\|a (DE-599)DOAJccccadb724ea440d846e09280c45e2e1
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a TD1-1066
050		0	\|a TH1-9745
100	0		\|a Mahendra Singh \|e verfasserin \|4 aut
245	1	0	\|a Monitoring and evaluation of building ventilation system fans operation using performance curves
264		1	\|c 2020
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units.
650		4	\|a Buildings
650		4	\|a Ventilation system
650		4	\|a Fan unit
650		4	\|a Performance curve
650		4	\|a Modeling
650		4	\|a Fan efficiency
653		0	\|a Environmental technology. Sanitary engineering
653		0	\|a Building construction
700	0		\|a Muhyiddine Jradi \|e verfasserin \|4 aut
700	0		\|a Hamid Reza Shaker \|e verfasserin \|4 aut
773	0	8	\|i In \|t Energy and Built Environment \|d KeAi Communications Co., Ltd., 2020 \|g 1(2020), 3, Seite 307-318 \|w (DE-627)1689666412 \|w (DE-600)3007897-0 \|x 26661233 \|7 nnns
773	1	8	\|g volume:1 \|g year:2020 \|g number:3 \|g pages:307-318
856	4	0	\|u https://doi.org/10.1016/j.enbenv.2020.04.001 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1 \|z kostenfrei
856	4	0	\|u http://www.sciencedirect.com/science/article/pii/S2666123320300271 \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2666-1233 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4392
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 1 \|j 2020 \|e 3 \|h 307-318

Indexfelder

author_variant	m s ms m j mj h r s hrs
matchkey_str	article:26661233:2020----::oioigneautoobidnvniainytmasprto
hierarchy_sort_str	2020
callnumber-subject-code	TD
publishDate	2020
allfields	10.1016/j.enbenv.2020.04.001 doi (DE-627)DOAJ056205171 (DE-599)DOAJccccadb724ea440d846e09280c45e2e1 DE-627 ger DE-627 rakwb eng TD1-1066 TH1-9745 Mahendra Singh verfasserin aut Monitoring and evaluation of building ventilation system fans operation using performance curves 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units. Buildings Ventilation system Fan unit Performance curve Modeling Fan efficiency Environmental technology. Sanitary engineering Building construction Muhyiddine Jradi verfasserin aut Hamid Reza Shaker verfasserin aut In Energy and Built Environment KeAi Communications Co., Ltd., 2020 1(2020), 3, Seite 307-318 (DE-627)1689666412 (DE-600)3007897-0 26661233 nnns volume:1 year:2020 number:3 pages:307-318 https://doi.org/10.1016/j.enbenv.2020.04.001 kostenfrei https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666123320300271 kostenfrei https://doaj.org/toc/2666-1233 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2020 3 307-318
spelling	10.1016/j.enbenv.2020.04.001 doi (DE-627)DOAJ056205171 (DE-599)DOAJccccadb724ea440d846e09280c45e2e1 DE-627 ger DE-627 rakwb eng TD1-1066 TH1-9745 Mahendra Singh verfasserin aut Monitoring and evaluation of building ventilation system fans operation using performance curves 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units. Buildings Ventilation system Fan unit Performance curve Modeling Fan efficiency Environmental technology. Sanitary engineering Building construction Muhyiddine Jradi verfasserin aut Hamid Reza Shaker verfasserin aut In Energy and Built Environment KeAi Communications Co., Ltd., 2020 1(2020), 3, Seite 307-318 (DE-627)1689666412 (DE-600)3007897-0 26661233 nnns volume:1 year:2020 number:3 pages:307-318 https://doi.org/10.1016/j.enbenv.2020.04.001 kostenfrei https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666123320300271 kostenfrei https://doaj.org/toc/2666-1233 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2020 3 307-318
allfields_unstemmed	10.1016/j.enbenv.2020.04.001 doi (DE-627)DOAJ056205171 (DE-599)DOAJccccadb724ea440d846e09280c45e2e1 DE-627 ger DE-627 rakwb eng TD1-1066 TH1-9745 Mahendra Singh verfasserin aut Monitoring and evaluation of building ventilation system fans operation using performance curves 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units. Buildings Ventilation system Fan unit Performance curve Modeling Fan efficiency Environmental technology. Sanitary engineering Building construction Muhyiddine Jradi verfasserin aut Hamid Reza Shaker verfasserin aut In Energy and Built Environment KeAi Communications Co., Ltd., 2020 1(2020), 3, Seite 307-318 (DE-627)1689666412 (DE-600)3007897-0 26661233 nnns volume:1 year:2020 number:3 pages:307-318 https://doi.org/10.1016/j.enbenv.2020.04.001 kostenfrei https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666123320300271 kostenfrei https://doaj.org/toc/2666-1233 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2020 3 307-318
allfieldsGer	10.1016/j.enbenv.2020.04.001 doi (DE-627)DOAJ056205171 (DE-599)DOAJccccadb724ea440d846e09280c45e2e1 DE-627 ger DE-627 rakwb eng TD1-1066 TH1-9745 Mahendra Singh verfasserin aut Monitoring and evaluation of building ventilation system fans operation using performance curves 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units. Buildings Ventilation system Fan unit Performance curve Modeling Fan efficiency Environmental technology. Sanitary engineering Building construction Muhyiddine Jradi verfasserin aut Hamid Reza Shaker verfasserin aut In Energy and Built Environment KeAi Communications Co., Ltd., 2020 1(2020), 3, Seite 307-318 (DE-627)1689666412 (DE-600)3007897-0 26661233 nnns volume:1 year:2020 number:3 pages:307-318 https://doi.org/10.1016/j.enbenv.2020.04.001 kostenfrei https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666123320300271 kostenfrei https://doaj.org/toc/2666-1233 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2020 3 307-318
allfieldsSound	10.1016/j.enbenv.2020.04.001 doi (DE-627)DOAJ056205171 (DE-599)DOAJccccadb724ea440d846e09280c45e2e1 DE-627 ger DE-627 rakwb eng TD1-1066 TH1-9745 Mahendra Singh verfasserin aut Monitoring and evaluation of building ventilation system fans operation using performance curves 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units. Buildings Ventilation system Fan unit Performance curve Modeling Fan efficiency Environmental technology. Sanitary engineering Building construction Muhyiddine Jradi verfasserin aut Hamid Reza Shaker verfasserin aut In Energy and Built Environment KeAi Communications Co., Ltd., 2020 1(2020), 3, Seite 307-318 (DE-627)1689666412 (DE-600)3007897-0 26661233 nnns volume:1 year:2020 number:3 pages:307-318 https://doi.org/10.1016/j.enbenv.2020.04.001 kostenfrei https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666123320300271 kostenfrei https://doaj.org/toc/2666-1233 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2020 3 307-318
language	English
source	In Energy and Built Environment 1(2020), 3, Seite 307-318 volume:1 year:2020 number:3 pages:307-318
sourceStr	In Energy and Built Environment 1(2020), 3, Seite 307-318 volume:1 year:2020 number:3 pages:307-318
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Buildings Ventilation system Fan unit Performance curve Modeling Fan efficiency Environmental technology. Sanitary engineering Building construction
isfreeaccess_bool	true
container_title	Energy and Built Environment
authorswithroles_txt_mv	Mahendra Singh @@aut@@ Muhyiddine Jradi @@aut@@ Hamid Reza Shaker @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	1689666412
id	DOAJ056205171
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ056205171</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308195901.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.enbenv.2020.04.001</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ056205171</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJccccadb724ea440d846e09280c45e2e1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TD1-1066</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TH1-9745</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Mahendra Singh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Monitoring and evaluation of building ventilation system fans operation using performance curves</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Buildings</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ventilation system</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fan unit</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Performance curve</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fan efficiency</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Environmental technology. Sanitary engineering</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Building construction</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Muhyiddine Jradi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hamid Reza Shaker</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Energy and Built Environment</subfield><subfield code="d">KeAi Communications Co., Ltd., 2020</subfield><subfield code="g">1(2020), 3, Seite 307-318</subfield><subfield code="w">(DE-627)1689666412</subfield><subfield code="w">(DE-600)3007897-0</subfield><subfield code="x">26661233</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:307-318</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.enbenv.2020.04.001</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2666123320300271</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2666-1233</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">2020</subfield><subfield code="e">3</subfield><subfield code="h">307-318</subfield></datafield></record></collection>
callnumber-first	T - Technology
author	Mahendra Singh
spellingShingle	Mahendra Singh misc TD1-1066 misc TH1-9745 misc Buildings misc Ventilation system misc Fan unit misc Performance curve misc Modeling misc Fan efficiency misc Environmental technology. Sanitary engineering misc Building construction Monitoring and evaluation of building ventilation system fans operation using performance curves
authorStr	Mahendra Singh
ppnlink_with_tag_str_mv	@@773@@(DE-627)1689666412
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	TD1-1066
illustrated	Not Illustrated
issn	26661233
topic_title	TD1-1066 TH1-9745 Monitoring and evaluation of building ventilation system fans operation using performance curves Buildings Ventilation system Fan unit Performance curve Modeling Fan efficiency
topic	misc TD1-1066 misc TH1-9745 misc Buildings misc Ventilation system misc Fan unit misc Performance curve misc Modeling misc Fan efficiency misc Environmental technology. Sanitary engineering misc Building construction
topic_unstemmed	misc TD1-1066 misc TH1-9745 misc Buildings misc Ventilation system misc Fan unit misc Performance curve misc Modeling misc Fan efficiency misc Environmental technology. Sanitary engineering misc Building construction
topic_browse	misc TD1-1066 misc TH1-9745 misc Buildings misc Ventilation system misc Fan unit misc Performance curve misc Modeling misc Fan efficiency misc Environmental technology. Sanitary engineering misc Building construction
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Energy and Built Environment
hierarchy_parent_id	1689666412
hierarchy_top_title	Energy and Built Environment
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)1689666412 (DE-600)3007897-0
title	Monitoring and evaluation of building ventilation system fans operation using performance curves
ctrlnum	(DE-627)DOAJ056205171 (DE-599)DOAJccccadb724ea440d846e09280c45e2e1
title_full	Monitoring and evaluation of building ventilation system fans operation using performance curves
author_sort	Mahendra Singh
journal	Energy and Built Environment
journalStr	Energy and Built Environment
callnumber-first-code	T
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2020
contenttype_str_mv	txt
container_start_page	307
author_browse	Mahendra Singh Muhyiddine Jradi Hamid Reza Shaker
container_volume	1
class	TD1-1066 TH1-9745
format_se	Elektronische Aufsätze
author-letter	Mahendra Singh
doi_str_mv	10.1016/j.enbenv.2020.04.001
author2-role	verfasserin
title_sort	monitoring and evaluation of building ventilation system fans operation using performance curves
callnumber	TD1-1066
title_auth	Monitoring and evaluation of building ventilation system fans operation using performance curves
abstract	Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units.
abstractGer	Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units.
abstract_unstemmed	Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700
container_issue	3
title_short	Monitoring and evaluation of building ventilation system fans operation using performance curves
url	https://doi.org/10.1016/j.enbenv.2020.04.001 https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1 http://www.sciencedirect.com/science/article/pii/S2666123320300271 https://doaj.org/toc/2666-1233
remote_bool	true
author2	Muhyiddine Jradi Hamid Reza Shaker
author2Str	Muhyiddine Jradi Hamid Reza Shaker
ppnlink	1689666412
callnumber-subject	TD - Environmental Technology
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.enbenv.2020.04.001
callnumber-a	TD1-1066
up_date	2024-07-03T19:29:26.936Z
_version_	1803587385504563201
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ056205171</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308195901.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.enbenv.2020.04.001</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ056205171</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJccccadb724ea440d846e09280c45e2e1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TD1-1066</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TH1-9745</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Mahendra Singh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Monitoring and evaluation of building ventilation system fans operation using performance curves</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Ventilation fans are an important component of any mechanically ventilated building. Poor fan performance could significantly affect the whole building performance metrics. There are several issues such as dirty blades, mechanical wear, aging of fans could impact the fan’s performance. In present work, a novel, indirect and data-driven methodology is introduced to monitor the ventilation fan unit performance. The proposed method is able to perform continuous monitoring of ventilation fan unit in real-time. The real-time performance of 3 Air handling unit (AHU) fans is examined in an academic building. Expected fan performance is modeled with the help of manufacturer data and compared against the real-time performance. Two data-driven models are developed and implemented. The first model is used to compute expected total fan pressure at a given airflow rate while second is a Support Vector Regression (SVR) model, to predict the fan efficiency. The performance monitoring of the ventilation fan unit is determined in terms of expected and actual fan energy consumption. Findings indicated a significant performance gap in three ventilation fan unit in a case building known as OU44, located in city Odense, Denmark. The advantage of this method comprises simplicity, no direct human intervention and scalability to the series of ventilation units.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Buildings</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ventilation system</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fan unit</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Performance curve</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fan efficiency</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Environmental technology. Sanitary engineering</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Building construction</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Muhyiddine Jradi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hamid Reza Shaker</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Energy and Built Environment</subfield><subfield code="d">KeAi Communications Co., Ltd., 2020</subfield><subfield code="g">1(2020), 3, Seite 307-318</subfield><subfield code="w">(DE-627)1689666412</subfield><subfield code="w">(DE-600)3007897-0</subfield><subfield code="x">26661233</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:307-318</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.enbenv.2020.04.001</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/ccccadb724ea440d846e09280c45e2e1</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2666123320300271</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2666-1233</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">2020</subfield><subfield code="e">3</subfield><subfield code="h">307-318</subfield></datafield></record></collection>
score	7.402793

Nicht das Richtige dabei?

Schreiben Sie uns!

Monitoring and evaluation of building ventilation system fans operation using performance curves

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?