Demand-side management in office buildings in Kuwait through an ice-storage assisted HVAC system with model predictive control

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dc.contributor.advisorBatty, W. J.
dc.contributor.authorAl-Hadban, Yehya
dc.date.accessioned2009-10-27T15:55:50Z
dc.date.available2009-10-27T15:55:50Z
dc.date.issued2005
dc.description.abstractExamining methods for controlling the electricity demand in Kuwait was the main objective and motivation of this researchp roject. The extensiveu se of air-conditioning for indoor cooling in office and large commercial buildings in Kuwait and the Gulf States represents a major part of the power and electricity consumption in such countries. The rising electricity generation cost and growing rates of consumption continuously demand the construction new power plants. Devising and enforcing Demand-SideM anagemen(t DSM) in the form of energye fficient operations trategies was the response of this research project to provide a means to rectify this situation using the demand-side management technique known as demand levelling or load shifting. State of the art demand-sidem anagementte chniquesh ave been examined through the developmenot f a model basedp redictive control optimisations trategyf or an integrateda ndm odulara pproachto the provisiono f ice thermals torage. To evaluate the potential of ice-storage assisted air-conditioning systems in flattening the demand curve at peak times during the summer months in Kuwait, a model of a Heating, Ventilation, and Air-conditioning (HVAC) plant was developed in Matlab. The model engaged the use of model based predictive control (MPQ as an optimisation tool for the plant as a whole. The model with MPC was developed to chose and decide on which control strategy to operate the integrated ice-storage HVAC plant. The model succeeded in optimising the operation of the plant and introduced encouraging improvement of the performance of the system as a whole. The concept of the modular ice-storage system was introduced through a control zoning strategy based on zonal orientation. It is believed that such strategy could lead to the modularisation of ice-storage systems. Additionally, the model was examined and tested in relation to load flattening and demonstrated promising enhancement in the shape of the load curve and demonstrated flattened demand curves through the employed strategy. When compared with measured data from existing buildings, the model showed potential for the techniques utilised to improve the load factor for office buildings.en_UK
dc.identifier.urihttp://hdl.handle.net/1826/3885
dc.language.isoenen_UK
dc.publisherCranfield Universityen_UK
dc.subjectDemand-Side Managementen_UK
dc.subjectLoad Shiftingen_UK
dc.subjectAir-Conditioningen_UK
dc.subjectHVACen_UK
dc.subjectBuildingsen_UK
dc.subjectIce-Storageen_UK
dc.subjectThermal Energy Storageen_UK
dc.subjectOffice Buildingsen_UK
dc.subjectPower Consumptionen_UK
dc.subjectModel Predictive Controlen_UK
dc.subjectEnergy Efficient Operation Strategiesen_UK
dc.subjectEnergy Efficient Control Strategiesen_UK
dc.subjectDemand Curve Flatteningen_UK
dc.subjectLoad Shiftingen_UK
dc.subjectPeak Power Demanden_UK
dc.subjectKuwaiten_UK
dc.titleDemand-side management in office buildings in Kuwait through an ice-storage assisted HVAC system with model predictive controlen_UK
dc.typeThesis or dissertationen_UK
dc.type.qualificationlevelDoctoralen_UK
dc.type.qualificationnamePhDen_UK

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