Building Load Shaping for Smaller Energy Storage Systems
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Solution Overview
Problem
The existing energy storage systems in buildings face challenges in efficiently sizing batteries due to unpredictable energy consumption patterns, leading to higher costs and inefficient battery utilization.
Innovation Solution
A system that utilizes a building management system (BMS) and load shaper to optimize the load profile of a building by shaping energy consumption into multiple peaks, allowing for the reduction of battery size and cost through strategic charging and discharging based on real-time energy prices and usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If energy storage systems are sized to handle peak energy consumption, then reliability is improved, but device complexity and cost increase
Solution Approach 1:
The system dynamically shapes the load profile by adjusting energy consumption patterns in real-time based on pricing signals and system state, transforming a static sizing problem into a dynamic optimization problem that maintains reliability while reducing peak demands
Solution Approach 2:
The system performs preliminary energy storage charging during off-peak periods before peak demand occurs, and pre-cools or pre-heats buildings when electricity prices are low, thereby reducing the need for large batteries to handle peak loads
2Device complexity
If battery size is reduced to lower cost, then device complexity decreases, but energy consumption increases due to inefficient utilization
Solution Approach 1:
The system changes operational parameters by implementing multi-peak load profiles instead of single peak, and adjusts charging/discharging timing based on real-time pricing signals, thereby improving battery utilization efficiency and reducing total energy consumption
Data Source
AI summary
The present disclosure provides systems and methods for shaping the load of a building for more efficient sizing and/or economics of an energy storage and/or microgrid system. Shaping the load of a building can include identifying a plurality of core hours of a time period increasing a load of the building, a plurality of different increase instances, by interfacing with a BAS and an ESS during the plurality of core hours, and decreasing the load of the building, a plurality of different decrease instances, by interfacing with the BAS and the ESS during the plurality of core hours, wherein each increase instance from the plurality of different increase instances of the load profile is followed by a decrease instance from the plurality of decrease instances of the load profile.