Optimized Controls for Cooling California Dairy Cows

Regents of the University of California, Davis

Recipient

Davis, CA

Recipient Location

3rd

Senate District

4th

Assembly District

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$529,198

Amount Spent

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Active

Project Status

Project Update

A heat and mass transfer model of evaporation from the fur of a cow was coupled to a metabolic model of the animal to estimate the frequency of water spray and fan speed given input on environmental conditions. The model has been used to develop a controller that can vary the fan speed and spray frequency to maintain the animal core temperature at a target value. The controller was implemented on a platform provided by a commercial partner, and its performance has compared against baseline control strategies typically used in dairies in the Central Valley. The controller has been tested and refined at four dairies over the course of three summers.

The Issue

Heat stress in dairy cows is a key issue affecting many aspects of sustainability and welfare in the U.S. dairy industry, causing an estimated $1.5 billion in milk production losses annually. A common and effective method of reducing heat stress in dairy cows combines spraying water on cows while using fans to increase air circulation. Optimal use of electricity and water for these spray cooling systems is critically important to improve the sustainability and financial viability of the dairy industry. Electricity used for fans and well-pumping is costly for dairy operations and results in greenhouse gas (GHG) emissions.

Project Innovation

Heat stress in dairy cows is a key issue affecting many aspects of sustainability and welfare in the U.S. dairy industry, causing an estimated $1.5 billion in milk production losses annually. A common and effective method of reducing heat stress in dairy cows combines spraying water on cows while using fans to increase air circulation. Optimal use of electricity and water for these spray cooling systems is critically important to improve the sustainability and financial viability of the dairy industry. Electricity used for fans and well-pumping is costly for dairy operations and results in greenhouse gas (GHG) emissions.

Project Goals

Create a heat and mass transfer model of a cow combining thermal balance and evaporative spray cooling models.
Integrate the model into a controller that activates cooling only when needed to optimize system performance.
Demonstrate reduced electricity and water use at working dairies through field deployment of the optimized controller.

Project Benefits

The project will reduce annual electricity consumption therefore improve electricity reliability. This reduction in electricity consumed by dairies will decrease stress on the electricity grid by reducing the total lad and lower electricity costs for dairy farmers. The project is consistent with the California Energy Commission's mission of leading the state to a 100 percent clean energy future.

Lower Costs

Affordability

The project will reduce annual electricity and water consumption and costs for dairy farmers. This project is expected to save 26 kWh per cow per year.

Environmental & Public Health

Environmental Sustainability

The project will reduce annual water consumption therefore improving availability of water.

Key Project Members

Project Member

Cassandra Tucker

Professor of Animal Science
UC Davis Animal Science Department
Project Member

Vinod Narayanan

Professor of Mechanical Engineering, Director of Western Cooling Efficiency Center
UC Davis, Western Cooling Efficiency Center
Project Member

Jonathan Hollist

Research and Development Engineer 3
UC Davis, Western Cooling Efficiency Center

Match Partners

Rocket

Western Cooling Efficiency Center - UC Davis

Rocket

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