Method for Optimizing HVAC Systems in Buildings Using Nonlinear Programming to Maximize Comfort for Occupants

摘要

A heating, ventilation and air-conditioning (HVAC) system for a building is optimized while maximizing a comfort of occupants and minimizing energy consumption. The building is modeled as a network of nodes and edges, wherein the nodes represent rooms, and the edges represent walls. Dynamics of temperatures and humidity in the rooms and the temperature of the walls and the building are modeled using differential equations and the network. The comfort of the occupants is modeled by a predicted mean vote (PMV). The minimizing is formulated as an optimal control problem, which is discretized using an integration technique to obtain a finite dimensional optimization problem. Then, the finite dimensional optimization problem is solved using sparse linear algebra until convergence.

主权项

1. A method for optimizing a heating, ventilation and air-conditioning (HVAC) system for a building while maximizing a comfort of occupants and minimizing energy consumption, comprising the steps of:
modeling the building as a network of nodes and edges, wherein the nodes represent rooms, and the edges represent walls; modeling dynamics of temperatures and humidity in the rooms and the temperature of the walls and the building using differential equations and the network; modeling the comfort of the occupants by a predicted mean vote (PMV); formulating the minimizing as an optimal control problem; discretizing the optimal control problem using an integration technique to obtain a finite dimensional optimization problem; and solving the finite dimensional optimization problem using sparse linear algebra until convergence, wherein the steps are performed in a processor.