Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction Model
This experiment evaluated the performance of a combined geothermal heat pump and solar system (GHPS). A GHPS heating system was installed at a pig house and a comparative study was carried out between the environmentally friendly renewable energy source (GHPS) and the traditional heating method usin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/12/20/2860 |
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| author | Hong-Seok Mun Muhammad Ammar Dilawar Shad Mahfuz Keiven Mark B. Ampode Veasna Chem Young-Hwa Kim Jong-Pil Moon Chul-Ju Yang |
| author_facet | Hong-Seok Mun Muhammad Ammar Dilawar Shad Mahfuz Keiven Mark B. Ampode Veasna Chem Young-Hwa Kim Jong-Pil Moon Chul-Ju Yang |
| author_sort | Hong-Seok Mun |
| collection | DOAJ |
| description | This experiment evaluated the performance of a combined geothermal heat pump and solar system (GHPS). A GHPS heating system was installed at a pig house and a comparative study was carried out between the environmentally friendly renewable energy source (GHPS) and the traditional heating method using fossil fuels. The impact of both heating systems on production performance, housing environment, noxious gas emission, and energy efficiency were evaluated along with the GHPS system performance parameters such as the coefficient of performance (COP), inlet and outlet water temperature and efficiency of solar collector. The average temperature inside the pig house was significantly higher (<i>p</i> < 0.05) in the GHPS heating system. Similarly, the outflow temperature was increased significantly (<i>p</i> < 0.05) than the inflow temperature. The results of COP and efficiency of the solar system also indicated that the GHPS is an efficient heating system. The electricity consumption and carbon dioxide gas concentration were also reduced (<i>p</i> < 0.05) in the GHPS system. This study also predicts electricity consumption using an artificial intelligence (AI)-based model. The results showed that the proposed model justifies all the acceptance criteria in terms of the correlation coefficient, root mean square value and mean absolute error. The results of our experiment show that the GHPS system can be installed at a pig house for sustainable swine production as a renewable energy source. |
| first_indexed | 2024-03-09T20:52:06Z |
| format | Article |
| id | doaj.art-f3547f76b28c4caf84dffb5e6d089c73 |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-03-09T20:52:06Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj.art-f3547f76b28c4caf84dffb5e6d089c732023-11-23T22:33:10ZengMDPI AGAnimals2076-26152022-10-011220286010.3390/ani12202860Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction ModelHong-Seok Mun0Muhammad Ammar Dilawar1Shad Mahfuz2Keiven Mark B. Ampode3Veasna Chem4Young-Hwa Kim5Jong-Pil Moon6Chul-Ju Yang7Animal Nutrition and Feed Science Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, KoreaAnimal Nutrition and Feed Science Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, KoreaAnimal Nutrition and Feed Science Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, KoreaAnimal Nutrition and Feed Science Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, KoreaAnimal Nutrition and Feed Science Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, KoreaInterdisciplinary Program in IT-Bio Convergence System (BK21 Plus), Chonnam National University, Gwangju 61186, KoreaRural Development Administration, Jeonju 54875, KoreaAnimal Nutrition and Feed Science Laboratory, Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, KoreaThis experiment evaluated the performance of a combined geothermal heat pump and solar system (GHPS). A GHPS heating system was installed at a pig house and a comparative study was carried out between the environmentally friendly renewable energy source (GHPS) and the traditional heating method using fossil fuels. The impact of both heating systems on production performance, housing environment, noxious gas emission, and energy efficiency were evaluated along with the GHPS system performance parameters such as the coefficient of performance (COP), inlet and outlet water temperature and efficiency of solar collector. The average temperature inside the pig house was significantly higher (<i>p</i> < 0.05) in the GHPS heating system. Similarly, the outflow temperature was increased significantly (<i>p</i> < 0.05) than the inflow temperature. The results of COP and efficiency of the solar system also indicated that the GHPS is an efficient heating system. The electricity consumption and carbon dioxide gas concentration were also reduced (<i>p</i> < 0.05) in the GHPS system. This study also predicts electricity consumption using an artificial intelligence (AI)-based model. The results showed that the proposed model justifies all the acceptance criteria in terms of the correlation coefficient, root mean square value and mean absolute error. The results of our experiment show that the GHPS system can be installed at a pig house for sustainable swine production as a renewable energy source.https://www.mdpi.com/2076-2615/12/20/2860pig productionrenewable energy sourceenergy efficiencyartificial intelligencegeothermal heat pump |
| spellingShingle | Hong-Seok Mun Muhammad Ammar Dilawar Shad Mahfuz Keiven Mark B. Ampode Veasna Chem Young-Hwa Kim Jong-Pil Moon Chul-Ju Yang Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction Model Animals pig production renewable energy source energy efficiency artificial intelligence geothermal heat pump |
| title | Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction Model |
| title_full | Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction Model |
| title_fullStr | Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction Model |
| title_full_unstemmed | Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction Model |
| title_short | Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction Model |
| title_sort | effects of a combined geothermal and solar heating system as a renewable energy source in a pig house and estimation of energy consumption using artificial intelligence based prediction model |
| topic | pig production renewable energy source energy efficiency artificial intelligence geothermal heat pump |
| url | https://www.mdpi.com/2076-2615/12/20/2860 |
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