Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정재원 | - |
dc.date.accessioned | 2022-10-24T00:10:57Z | - |
dc.date.available | 2022-10-24T00:10:57Z | - |
dc.date.issued | 2021-02 | - |
dc.identifier.citation | APPLIED THERMAL ENGINEERING, v. 185, article no. 116450, Page. 1-11 | en_US |
dc.identifier.issn | 1359-4311; 1873-5606 | en_US |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S1359431120339260?via%3Dihub | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/175705 | - |
dc.description.abstract | This study evaluates the energy-saving potential of a prediction model-based pre-heat coil operation method for frost prevention in energy recovery ventilators, compared to existing approaches. Energy recovery ventilator (ERV) requires pre-heating of the incoming outdoor air to prevent undesirable condensation and frost formation in the enthalpy exchanger during winter. Conventionally, the introduced outdoor air is pre-heated to a certain constant temperature using a pre-heat coil, resulting in unnecessary energy consumption. Maintaining a constant pre-heat temperature during the operation of the ERV is not ideal as the frost threshold temperature varies with the outdoor air temperature and humidity. Therefore, to reduce pre-heating energy consumption, a prediction model-based pre-heat coil operation method is proposed herein. A numerical model predicting the frost threshold temperature based on the outdoor air and exhaust air conditions was developed, and validated using the optimal Latin hypercube design method. Subsequently, a series of energy simulations was performed considering an identical residential model, located in 8 cities with different climatic conditions, to evaluate the energy-saving potential of the proposed pre-heat coil operation method compared to conventional methods. The proposed method consumed 7%-72% less energy in the ERV operation and required a 1%-21% smaller pre-heat coil capacity than the conventional method. Thus, the proposed operation method is superior to the conventional method as it prevents frost formation and consumes a minimal amount of energy. | en_US |
dc.description.sponsorship | This work was supported by the National Research Foundation of Korea (NRF) grant (No. 2019R1A2C2002514) and the Korean Institute of Energy Technology Evaluation and Planning (KETEP) (No. 20184010201710, and No. 20202020800030). | en_US |
dc.language.iso | en | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.subject | Model-predicted control; Energy recovery ventilator; Frost prevention; Condensation; Temperature control | en_US |
dc.title | Energy saving potential of a model-predicted frost prevention method for energy recovery ventilators | en_US |
dc.type | Article | en_US |
dc.relation.volume | 185 | - |
dc.identifier.doi | 10.1016/j.applthermaleng.2020.116450 | en_US |
dc.relation.page | 1-11 | - |
dc.relation.journal | APPLIED THERMAL ENGINEERING | - |
dc.contributor.googleauthor | Ko, Jinyoung | - |
dc.contributor.googleauthor | Park, Junseok | - |
dc.contributor.googleauthor | Jeong, Jae-Weon | - |
dc.relation.code | 2021003275 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ARCHITECTURAL ENGINEERING | - |
dc.identifier.pid | jjwarc | - |
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