Energy efficient thermal comfort in open-plan office buildings
| Autor: | Harish Doddi, Venkatesh Sarangan, P. Venkata Ramakrishna, Arunchandar Vasan, Anand Sivasubramaniam, Srinarayana Nagarathinam |
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| Rok vydání: | 2017 |
| Předmět: |
Engineering
Optimization problem business.industry 020209 energy Mechanical Engineering 0211 other engineering and technologies Thermal comfort PID controller 02 engineering and technology Building and Construction Energy consumption Model predictive control Control theory 021105 building & construction HVAC 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Mean radiant temperature business Civil and Structural Engineering Efficient energy use |
| Zdroj: | Energy and Buildings. 139:476-486 |
| ISSN: | 0378-7788 |
| DOI: | 10.1016/j.enbuild.2017.01.043 |
| Popis: | The effect of spatial variations in mean radiant temperature and occupancy on HVAC energy and occupant thermal comfort is studied in an open-plan office space with multiple AHUs. A predictive control method is proposed that arrives at optimum temperature set-point vector by solving an optimization problem, which minimizes HVAC energy consumption subject to acceptable thermal comfort and adequate outside air intake. The optimum temperature set-point vector is used in a PID controller that modulates the AHU fan speed. The proposed control is evaluated on occupancy traces observed in an open-plan space and compared with static set-points based PID control strategies. Normally PID control operates with a dead-band around the static set-point and the AHU fan speed is adjusted only when return air temperature is outside the dead-band. The proposed control has a dynamic set-point and hence the AHU speeds are adjusted at much finer time steps than the normal control. The occupancy traces are classified into densely and sparsely occupied days. Across all days, the proposed control achieves an average additional savings of 15% over a PID control that assumes uniform spatial occupancy distribution in AHU control and 12% over a PID based strategy that uses actual spatial occupancy information. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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