With the advancement of ICT, artificial intelligence, and big data technologies, smart agriculture is gaining attention, accelerating the expansion and concentration of the domestic livestock industry. As livestock farms scale up, heating and cooling ...
With the advancement of ICT, artificial intelligence, and big data technologies, smart agriculture is gaining attention, accelerating the expansion and concentration of the domestic livestock industry. As livestock farms scale up, heating and cooling energy consumption increases, and managing the internal environment becomes more challenging compared to traditional livestock farming. To address rising energy costs and achieve low-carbon agriculture, it is essential to accurately estimate and analyze the heating and cooling loads of livestock facilities to devise energy-saving strategies.
This study calculates the heating and cooling loads for a small-scale smart pig farming testbed built according to the standard pigsty design provided by the Ministry of Agriculture, Food and Rural Affairs. Considering the heat generation of pigs at different growth stages during the summer, the energy generation of 20 weaned pigs at three weeks of age was found to be 3,681.03 W, while the highest energy generation of 20 finishing pigs at 26 weeks of age was 17,644.47 W, increasing with growth. Similarly, cooling load increased in the same trend as energy generation, reaching a maximum of 5,468.65 W.
This study proposes a dynamic analysis methodology for heating and cooling energy, taking into account the growth stages of pigs. Future research will focus on year-round heating and cooling load analysis, incorporating various environmental factors collected from smart pigsties to achieve a more accurate heating and cooling load assessmen