Common use of Design Parameters Clause in Contracts

Design Parameters. DSE is used in building automation to: (a) identify the optimal equipment and control settings for an existing building; (b) study the equipment scal- ability over different building thermal characteristics. In the following we highlight the key design parameters used in the building automation case study: 1. Maximum water flow rate: m·water ∈ [0.08 : 0.12] 2. Maximum air flow rate: m·air ∈ [0.4 : 0.6] 3. Water coil efficiency: ϵcoil ∈ [ 0.1 : 1 Control Design Parameters: tuning these parameters lead to identify the optimal PID control response to the building thermal load. 1. Proportional set-point weighting: Kp ∈ [0 : 1] 2. Derivative set-point weighting: Kd ∈ [0 : 1] 1. Wall density: ρwall ∈ [960 : 1600] 2. Wall thermal conductivity: λwall ∈ [0.0865 : 0.1298] Considering that these parameters are independent, then the search space for optimizing equipment setting is m·water × ▇▇▇▇ × ϵcoil × Kp × Kd . Whereas, the search space for equipment scalability study is ρwall × λwall.

Design Parameters. DSE is used in building automation to: (a) identify the optimal equipment and control settings for an existing building; (b) study the equipment scal- ability over different building thermal characteristics. In the following we highlight the key design parameters used in the building automation case study: 1. Maximum water flow rate: m·water ∈ [0.08 : 0.12] 2. Maximum air flow rate: m·air ma· ir ∈ [0.4 : 0.6] 3. Water coil efficiency: ϵcoil scoil ∈ [ 0.1 : 1 Control Design Parameters: tuning these parameters lead to identify the optimal PID control response to the building thermal load. 1. Proportional set-point weighting: Kp ∈ [0 : 1] 2. Derivative set-point weighting: Kd ∈ [0 : 1] 1. Wall density: ρwall ∈ [960 : 1600] 2. Wall thermal conductivity: λwall ∈ [0.0865 : 0.1298] Considering that these parameters are independent, then the search space for optimizing equipment setting is m·water × ▇▇▇▇ ma· ir × ϵcoil scoil × Kp × Kd . Whereas, the search space for equipment scalability study is ρwall × λwall.