Paper Conference

Proceedings of ASim Conference 2016: 3rd Asia conference of IBPSA-China, Japan, Korea


Simulation on the Indoor Thermal Environment Control Considering Discomfort Probability

Zheliang Chen, Qingqing Feng, Fulin Wang

Abstract: The reasonable indoor thermal environmental control should be able to well balance the tradeoff between comfort and energy consumption. However how to quantitatively evaluate the tradeoff between comfort and energy is a difficult issue and still lacks of adequate study. This paper proposes an on-line learning method to build the model of discomfort probability of a room occupant. Base on the discomfort probability model, this paper uses simulation to study the energy consumption and productivity changes at different discomfort probabilities for the purpose of quantitatively evaluating the tradeoff between comfort and energy consumption. For the case study rooms, simulation results show that if the discomfort probability increases from 0.05 to 0.10, the cooling energy consumption decreases by 16.4% and heating energy consumption decreases by 10.5%. Meanwhile the accompanying to the discomfort probability increase, the productivities of room occupants tend to decrease. The gross domestic production (GDP) is used as an index to evaluate the quantitative tradeoff between energy saving and productivity decrease. The simulation results show that for cooling case, when the discomfort probability is 0.0875, the synthetic GDP benefit of energy saving and productive decrease reaches maximum. Similarly, for the heating case, the optimal discomfort probability exists at 0.075.
Keywords: Thermal comfort, Productivity, Energy consumption, Discomfort probability, Indoor environment control