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dc.contributor.authorWahab, HA
dc.contributor.authorDuke, M
dc.contributor.authorCarson, JK
dc.contributor.authorAnderson, TN
dc.date.accessioned2011-11-25T04:58:03Z
dc.date.accessioned2011-11-30T01:08:27Z
dc.date.available2011-11-25T04:58:03Z
dc.date.available2011-11-30T01:08:27Z
dc.date.copyright2011
dc.date.issued2011-11-25
dc.identifier.citationPresentation at the IEEE First Conference on Clean Energy and Technology (CET'11), pp.342 - 347
dc.identifier.isbn978-1-4577-1353-8 (print)
dc.identifier.urihttp://hdl.handle.net/10292/2866
dc.description.abstractResearch and development work on Building Integrated Solar Energy Systems (BISES) has become an area of growing interest, not only in New Zealand (NZ) but worldwide. This interest has led to a significant growth in the use of solar energy to provide heating and electricity generation. This paper presents the theoretical and experimental results of a novel building integrated solar hot water system developed using commercial long run roofing materials. This work shows that it is possible to achieve effective integration that maintains the aesthetics of the building and also provides useful thermal energy. The results of a 6.73m2 glazed domestic hot water systems are presented. The key design parameters of the Building Integrated Thermal (BIT) system were identified and implemented in a TRansient SYstem Simulation (TRNSYS) model. Validation results comparing the simulation in TRNSYS and real experimentation show that experimental and simulation responses are close to each other. The coupling of TRNSYS and Matlab/Simulink shows the possibility to use Matlab/Simulink for developing appropriate control strategies for BIT roofing systems. Preliminary Fuzzy Logic (FL) intelligent controller was implemented in a Fuzzy Integrated System (FIS) toolbox in a Matlab/Simulink model and linked into TRNSYS model. Further work is needed to identify and design advanced predictive control strategies for the Building Integrated Photovoltaic Thermal (BIPVT) solar system and determine how the performance can be optimized.
dc.publisherIEEE
dc.relation.replaceshttp://hdl.handle.net/10292/2712
dc.relation.replaces10292/2712
dc.relation.isreplacedby10292/3014
dc.relation.isreplacedbyhttp://hdl.handle.net/10292/3014
dc.relation.urihttp://dx.doi.org/10.1109/CET.2011.6041488
dc.rightsCopyright © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectBuilding integrated photovoltaics
dc.subjectFuzzy control
dc.subjectPower engineering computing
dc.subjectPower generation control
dc.subjectPredictive control
dc.subjectSolar power stations
dc.subjectMatlab/Simulink
dc.subjectNew Zealand
dc.subjectTRNSYS model
dc.subjectBuilding integrated solar energy system
dc.subjectBuilding integrated thermal system
dc.subjectElectricity generation
dc.subjectFuzzy integrated system toolbox
dc.subjectFuzzy logic intelligent controller
dc.subjectGlazed domestic hot water
dc.subjectHeating generation
dc.subjectPhotovoltaic thermal solar system
dc.subjectPredictive control
dc.subjectRoofing materials
dc.subjectThermal energy
dc.subjectTransient system simulation
dc.subjectBIT
dc.subjectBIPVT
dc.subjectTRNSYS
dc.subjectMatlabISimulink
dc.titleStudies of control strategies for building integrated solar energy system
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess
dc.identifier.doi10.1109/CET.2011.6041488


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