Study on distributed individuation lighting model and analysis to energy consumption character

Individuation lighting aims to provide each employee preferred illuminance in open office, considering individual difference to satisfaction degree of lighting. With linear programming model, targeting to minimal energy consumption, computed illuminance vector differs from preferred or expected illuminance vector in general. We used statistical analysis method to study the difference between expected and computed illuminance vector, taking into account it difficult to build mathematic model to present relationship between above mentioned two vectors. We introduced average-illuminance-difference and presented its relationship with amount of luminaire, the overall similarity between expected and computed illuminance vector could be observed directly through the relationship. Finally, we provided system structure of individuation lighting system.