Automated Continuous Commissioning of Commercial Buildings

Bailey, Trevor; O’Neill, Zheng; Shashanka, Madhusudana; Haves, Philip; Pang, Xiufeng; Bhattacharya, Prajesh

doi:10.21236/ada555951

Cited by 3 publications

(6 citation statements)

References 5 publications

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“…A comparison of load predictions between the ROM and the EnergyPlus model was conducted for Building 7230 where there was a calibrated EnergyPlus model [16].…”

Section: Comparison Of Results From Energyplusmentioning

confidence: 99%

“…Additional metering is required to calibrate models and accurately measure energy consumption to validate results. For Building 7230, the existing instrumentation system from ESTCP project SI-0929 [16] was utilized with additional measurements (i.e., chilled water BTU meters at the AHU local level). For Buildings 7113 and 7114, sub-meters (DEM) were installed to measure lighting and plug loads at building level.…”

Section: Building 7230mentioning

confidence: 99%

“…The existing instrumentation system from ESTCP project SI-0929 [16] was used. This includes an on-site weather station, electric sub-meters for chillers, lighting and plug loads, and thermal BTU meters for hot water loop and chilled water loop.…”

Section: ) Building 7230mentioning

confidence: 99%

“…Existing instrumentation from ESTCP EW-0929 [16] was used for Building 7230 with additional chilled water BTU meters at the AHU level. …”

Section: Hardware Capital Costmentioning

confidence: 99%

See 3 more Smart Citations

Scalable Deployment of Advanced Building Energy Management Systems

Adetola¹,

Ahuja²,

Bailey³

et al. 2013

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“…A comparison of load predictions between the ROM and the EnergyPlus model was conducted for Building 7230 where there was a calibrated EnergyPlus model [16].…”

Section: Comparison Of Results From Energyplusmentioning

confidence: 99%

Section: Building 7230mentioning

confidence: 99%

Section: ) Building 7230mentioning

confidence: 99%

“…Existing instrumentation from ESTCP EW-0929 [16] was used for Building 7230 with additional chilled water BTU meters at the AHU level. …”

Section: Hardware Capital Costmentioning

confidence: 99%

See 2 more Smart Citations

Scalable Deployment of Advanced Building Energy Management Systems

Adetola¹,

Ahuja²,

Bailey³

et al. 2013

Self Cite

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show abstract

“…Importantly, the system incorporated learning algorithms and simplified reduced‐order simulation models to circumvent the need to manually construct and maintain a detailed building simulation model. This detailed building model is required for the existing technology and represents a practical barrier to a broad scalable application.…”

Section: Background and Existing Workmentioning

confidence: 99%

Advanced building energy management system demonstration for Department of Defense buildings

O’Neill¹,

Bailey²,

Dong³

et al. 2013

Annals of the New York Academy of Sciences

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This paper presents an advanced building energy management system (aBEMS) that employs advanced methods of whole-building performance monitoring combined with statistical methods of learning and data analysis to enable identification of both gradual and discrete performance erosion and faults. This system assimilated data collected from multiple sources, including blueprints, reduced-order models (ROM) and measurements, and employed advanced statistical learning algorithms to identify patterns of anomalies. The results were presented graphically in a manner understandable to facilities managers. A demonstration of aBEMS was conducted in buildings at Naval Station Great Lakes. The facility building management systems were extended to incorporate the energy diagnostics and analysis algorithms, producing systematic identification of more efficient operation strategies. At Naval Station Great Lakes, greater than 20% savings were demonstrated for building energy consumption by improving facility manager decision support to diagnose energy faults and prioritize alternative, energy-efficient operation strategies. The paper concludes with recommendations for widespread aBEMS success.

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Model selection for continuous commissioning of HVAC-systems in office buildings: A review

Verhelst

Ham

Sælens

et al. 2017

Renewable and Sustainable Energy Reviews

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his pper presents n overview of literture nd proedures out relElifeD stteEofEtheErt implementtions of modelEsed @wfA gontinuous gommissioning @ggxA in o0e uildingsF he fous is on the uildingE nd regEmodels used for eh of three distint ggxEdominsX he identi(E tion of energy onserving opportunities @igysAD fult detetionD dignosisD evlution nd overhul @phheA nd modelEsed ontrol @wfgAF por eh dominD the reltions etween hosen model strutureD model orderD pE rmeter estimtion proedureD ville sensor dt qulity nd lultion power re highlightedF hese insights re ritil for o0e uilding mnE gersD fiw mnufturers nd reserhers involved or interested in the seletion nd implementtion of wfgg strtegiesF he nlyses indite tht the hosen model order nd prmeter esE timtion tehnique depend highly on ville lultion power nd dt vililityF pull modelEshring etween di'erent sutopis is rrely perE formedD presumly due to the diversity of model requirements for eh ggxEdominF everl model strutures nd prmeter estimtion proeE dures EeFgF multiEstepEhed nd suspe identi(tionE re reurring freE quently within one domin EeFgF wfgEF elsoD oth within nd etween ggxEdominsD the exhnge of ville expert knowledge nd mesureE ments for prmeter estimtion improves the ury of the resulting modE elsF

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Automated Continuous Commissioning of Commercial Buildings

Cited by 3 publications

References 5 publications

Scalable Deployment of Advanced Building Energy Management Systems

Scalable Deployment of Advanced Building Energy Management Systems

Advanced building energy management system demonstration for Department of Defense buildings

Model selection for continuous commissioning of HVAC-systems in office buildings: A review

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