Energy-efficient integrated lighting, daylighting, and HVAC with controlled window blinds
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Solution Overview
Problem
Current building management systems fail to integrate lighting and daylighting controls with HVAC controls effectively, leading to energy consumption inefficiencies while maintaining occupant comfort, as they struggle to optimize window blind tilt angles to minimize total energy consumption while avoiding glare and maintaining thermal comfort.
Innovation Solution
A method that determines the optimal window blind tilt angle by calculating solar heat gain, predicted room temperatures, and illumination energy, adjusting blind tilt angles to minimize total room energy consumption while preventing glare, and overriding for beam solar radiation or manual control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If advanced predictive algorithms are implemented to optimize blind tilt angles, then total energy consumption is minimized, but system complexity increases
Solution Approach 1:
The system performs preliminary calculations of optimal blind tilt angles using predictive algorithms that consider future environmental conditions. By pre-computing optimal settings based on forecasted solar position and temperature, the system reduces real-time computational requirements while maintaining energy optimization.
Solution Approach 2:
The system implements feedback loops that monitor actual energy consumption, indoor temperature, and daylighting levels to continuously refine blind control decisions. This closed-loop approach allows the system to learn from past performance and adapt to changing building characteristics, improving energy efficiency while managing complexity through data-driven adjustments.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach optimizes energy consumption by minimizing total room energy while maintaining occupant comfort, reducing the need for electric lighting and HVAC energy, and enhancing indoor environmental quality by balancing daylighting and thermal comfort.
Implementation Method 1
determining a solar heat gain coefficient (SHGC) for a room in a building, based on the geographic location of the room, at a plurality of time intervals
Data Source
AI summary
Methods for integrated room management in a building management system and corresponding systems and computer-readable mediums. A method includes determining a solar heat gain coefficient (SHGC) for a room in a building and determining predicted room temperatures for the room at the plurality of time intervals based on the SHGC and a plurality of window blinds tilt angles. The method includes determining illumination heat and illumination energy for the room and determining climate energy for the room. The method includes determining a total room energy as a function of the window blinds tilt angles based on the climate energy, illumination energy, and predicted room temperatures. The method includes determining an optimal blind tilt angle that minimizes the total room energy at each of the time intervals and controlling the tilt angles of window blinds according to the optimal blind tilt angle.