A heating, ventilation, and air conditioning (HVAC) system may be zoned into one or more zone. The HVAC system may include HVAC components, sensors, and one or more register vents that may include vent dampers (e.g., electronically controllable vent dampers or manually operated vent dampers). Opening and closing of the vent dampers may facilitate creating zones or sub-zones in the HVAC system configuration. An HVAC control system may receive a request for conditioned air in one or more of the zones, determine a damper setting for at least one of the vent dampers, communicate the determined damper setting to a vent damper or user interface, determine which HVAC components should be active, if any, and/or provide controls signals to activate or keep active the HVAC components that are determined to be active.

Systems and methods including a container assembly configured to maintain a controlled environment for storing a product therein are disclosed. Controlled environmental parameters may include at least one of the following: temperature, humidity, payload moisture content, solar radiation, magnetism, microwave, or light illumination. In certain implementations, the system includes a payload chamber and a self-contained lid-integrated environmental control unit (ECU) that may be coupled to the payload chamber using a substantially airtight seal. In certain embodiments, the ECU may include a condenser, a humidity controller, a liquid tank and a power source. Certain embodiments may include a warmer, temperature and/or humidity sensors, and/or a lock. Various combinations of the foregoing components and features may be incorporated, depending on the requirements of each particular implementation.

HVAC load can be shifted to change indoor temperature. A time series change in HVAC load data is used as input modified scenario values that represent an HVAC load shape. The HVAC load shape is selected to meet desired energy savings goals, such as reducing or flattening peak energy consumption load to reduce demand charges, moving HVAC consumption to take advantage of lower utility rates, or moving HVAC consumption to match PV production. Time series change in indoor temperature data can be calculated using only inputs of time series change in the time series HVAC load data combined with thermal mass, thermal conductivity, and HVAC efficiency. The approach is applicable for both winter and summer and can be applied when the building has an on-site renewable power system.