AI Article Synopsis

  • - The study introduces a new ventilation-control algorithm aimed at optimizing indoor temperatures in broiler houses through heat-energy balance analysis, which may enhance microclimate conditions significantly.
  • - Current ventilation systems maintain optimal temperatures for 74% of the time, while the new algorithm could potentially improve this to 92%, leading to better conditions for the chickens.
  • - Implementation of the algorithm resulted in a reduction of indoor temperatures by 1.5-2 °C, a decrease in broiler mortality by 16.5%, and energy savings despite increased cooling pad usage, indicating better overall productivity.

Article Abstract

This study aims to improve the microclimate conditions in a mechanically ventilated broiler house by proposing and evaluating a ventilation-control algorithm based on heat-energy balance analysis. The new algorithm is designed to optimise the ventilation-rate requirement and thereby improve control of the indoor temperature. The analysis of one year of operational data collected at the experimental farm indicates that the current ventilation-control system successfully maintained optimal indoor temperatures for 74% of the time. In contrast, the proposed algorithm has the potential to improve this number significantly (up to 92%). The new algorithm was implemented and evaluated at two broiler houses (control and experimental) starting from day 20 to day 34 during one rearing period under high-temperature conditions. The results confirm that the new algorithm effectively reduced indoor temperatures by 1.5-2 °C during the day, which reduces heat stress significantly. Even though cooling pad usage increased to about eight times, the reduction in tunnel fan usage (to about 52%) led to significant energy savings. Furthermore, broiler mortality was reduced by 16.5%, which means there is also potential for improved productivity. The proposed ventilation control algorithm can effectively enhance microclimate conditions and energy efficiency in broiler production, though longer-term studies are required to fully assess its impact on growth performance.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11640211PMC
http://dx.doi.org/10.3390/ani14233430DOI Listing

Publication Analysis

Top Keywords

ventilation-control algorithm
8
broiler house
8
microclimate conditions
8
indoor temperatures
8
algorithm effectively
8
algorithm
7
broiler
5
preliminary evaluation
4
evaluation advanced
4
advanced ventilation-control
4

Similar Publications

Article Synopsis
  • - The study introduces a new ventilation-control algorithm aimed at optimizing indoor temperatures in broiler houses through heat-energy balance analysis, which may enhance microclimate conditions significantly.
  • - Current ventilation systems maintain optimal temperatures for 74% of the time, while the new algorithm could potentially improve this to 92%, leading to better conditions for the chickens.
  • - Implementation of the algorithm resulted in a reduction of indoor temperatures by 1.5-2 °C, a decrease in broiler mortality by 16.5%, and energy savings despite increased cooling pad usage, indicating better overall productivity.
View Article and Find Full Text PDF

Life support systems are playing a critical role on keeping a patient alive when admitted in ICU bed. One of the most popular life support system is Mechanical Ventilation which helps a patient to breath when breathing is inadequate to maintain life. Despite its important role during ICU admission, the technology for Mechanical Ventilation hasn't change a lot for several years.

View Article and Find Full Text PDF
Article Synopsis
  • During the COVID-19 pandemic, higher outdoor air flow requirements for ventilation systems increased building energy consumption, prompting the need for energy-efficient strategies to mitigate infection risks.
  • The study developed an occupant-number-based model predictive control (OBMPC) algorithm, using occupancy and HVAC data to predict room occupancy with up to 95% accuracy in short-term forecasts.
  • The OBMPC model can significantly reduce energy loads by about 52% while maintaining low infection risk levels, but uncertainties in occupancy predictions can lead to notable variations in ventilation demand, temperature, and airflow rates.
View Article and Find Full Text PDF

Metabolism-based ventilation monitoring and control method for COVID-19 risk mitigation in gymnasiums and alike places.

Sustain Cities Soc

May 2022

Jiangsu Key Laboratory of Intelligent Building Energy Efficiency, Suzhou, Jiangsu 215009, China.

Gymnasiums, fitness rooms and alike places offer exercise services to citizens, which play positive roles in promoting health and enhancing human immunity. Due to the high metabolic rates during exercises, supplying sufficient ventilation in these places is essential and extremely important especially given the risk of infectious respiratory diseases like COVID-19. Traditional ventilation control methods rely on a single CO sensor (often placed at return air duct), which is often difficult to reflect the human metabolic rates accurately, and thus can hardly control the infection risk instantly.

View Article and Find Full Text PDF

A cooperative control strategy is proposed for the air conditioning (AC) system and ventilation system to reduce the risk of COVID-19 infection and save the energy of the AC system. This strategy integrates the dynamic model of the AC-cabin system, infection risk assessment, model predictive control (MPC) of the thermal environment inside the cabin, and ventilation control that considers passengers' sneezing. Unlike other existing AC system models, the thermal-health model established can describe not only the system performance but also the virus concentration and risk of COVID-19 infection using the Wells-Riley assessment model.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!