| 학회 |
한국화학공학회 |
| 학술대회 |
2022년 봄 (04/20 ~ 04/23, 제주국제컨벤션센터) |
| 권호 |
28권 1호, p.1129 |
| 발표분야 |
[주제 12] 화학공학일반(부문위원회 발표) |
| 제목 |
신재생에너지연계 Multi-carrier 에너지시스템에서 AI 역할-Supply and demand uncertainties |
| 초록 |
Multi-carrier energy systems have contributed in optimal operation by bringing various energy sectors together to provide reliable, cost-effective products while minimizing economic costs and environmental impact. They improve the efficiency and flexibility on both supply and demand sides, but they are too complicated to monitor by conventional approaches. Renewable energies have been integrated in the multi-carrier systems for the growing environmental concerns. Much more complex problems have arisen due to inherent seasonality and fluctuation of renewable energies. Artificial intelligence algorithms handle most of these problems efficiently by taking the available data-driven models into account. Here, the role of single and hybrid artificial intelligence models in developing efficient systems are detailed. The frequent algorithms are introduced and discussed. Acknowledgments This work was supported by Brain Pool Program through the National Research Foundation of Korea (KRF) funded by the Ministry of Science and ICT (2019H1D3A1A02071051), and Korea Ministry of Environment as "Prospective green technology innovation project (2020003160009). |
| 저자 |
POUYA IFAEI1, Tayerani Charmchi Amir Saman2, 유창규1
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| 소속 |
1경희대, 2Kyunghee Univ. |
| 키워드 |
공정시스템(Process Systems Engineering) |
| E-Mail |
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| 원문파일 |
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