Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Services Engineering | en_US |
| dc.contributor.advisor | Wang, Shengwei (BSE) | - |
| dc.contributor.advisor | Xiao, Fu (BSE) | - |
| dc.creator | Xue, Xue | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/7939 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Development of an interactive building energy demand management strategy for smart grid | en_US |
| dcterms.abstract | This thesis presents an interactive building energy demand management strategy for the interaction of commercial buildings with a smart grid and facilitating grid optimization. A simplified building thermal storage model is developed for predicting and characterizing power demand alteration potentials of individual buildings together with a model for predicting the normal power demand profiles of buildings. The implementation details of the interactive strategy for the complex building central chilling systems are also investigated for ensuring their controllability and energy efficiency. To analyze and quantify the power demand and the demand alteration characteristics of commercial buildings in a smart grid, a dynamic simulation platform for the complex building central chilling systems was built by considering passive and active building thermal storages. To formulate the interactive building energy demand management strategy, simplified models of the simulation platform were employed (e.g., chillers, pumps, air handling units, etc.) or developed (e.g., the simplified building thermal storage, pricing mechanism, etc.). A genetic algorithm-based (GA) method is also developed to identify the parameters of the simplified building thermal storage model. The simulation test results show that commercial buildings can contribute significantly and effectively in power demand management or alterations with building power demand characteristics identified properly. The demand alterations from building demand side can help effectively in releasing the grid power imbalance under an interactive operation. To design and develop a fast chiller power demand response control strategy for smart grid applications (e.g., make use of the power demand of HVAC systems as operating reserves for relieving grid power imbalance), the chiller sequence control and the control logic of the building central chilling systems need to be rearranged. Compared with conventional indoor temperature set-point reset strategy, the developed strategy can provide an accurate estimation of power demand reduction in advance, and enable a fast response fulfilling the operation requirements of the grid on the premise of indoor thermal comfort. Simulation tests are also conducted to estimate the potential of reserve and investigate the impact on the thermal comfort when adopting the developed strategy. The resulting imbalance distributions of the chilled water flow rate and the indoor and air temperature caused by the chiller demand limiting control strategy are also investigated and solved. Based on the simplified building thermal storage model, online and offline applications of active thermal storages (e.g., PCM tank and chilled water tank, etc.) in buildings for smart grid are discussed and tested on the simulation platform. Lastly, the software tools (i.e., TRNSYS and MATLAB) and implementation details for conducting online and offline application tests are presented. | en_US |
| dcterms.extent | xi, 238 leaves : illustrations ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2015 | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.educationalLevel | Ph.D. | en_US |
| dcterms.LCSH | Smart power grids. | en_US |
| dcterms.LCSH | Commercial buildings -- Energy conservation. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | open access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b28068683.pdf | For All Users | 4.83 MB | Adobe PDF | View/Open |
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