Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이한승 | - |
dc.date.accessioned | 2019-01-22T02:21:12Z | - |
dc.date.available | 2019-01-22T02:21:12Z | - |
dc.date.issued | 2018-09 | - |
dc.identifier.citation | RENEWABLE ENERGY, v. 125, Page. 907-914 | en_US |
dc.identifier.issn | 0960-1481 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0960148118303306 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/81404 | - |
dc.description.abstract | Determining the optimum penetration of renewable energy systems and their associated aggregated technical and economic benefits is a growing concern for both researchers and policy makers. The purpose of this paper is to evaluate the cost-optimal pathways for a university campus in Illinois, USA to install solar PV systems by performing parametric analyses. Here we suggest cost-optimal solutions to deploy solar photovoltaic systems under two different finance scenarios: the Single Party economic model and the Two Party economic model. In addition, critical economic factors are highlighted by incorporating them into an energy performance model. This case study can be a replicable model for other academic institutions to actively implement renewable technologies and greatly support their decision-making processes. (C) 2018 Elsevier Ltd. All rights reserved. | en_US |
dc.description.sponsorship | This research was partially supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2015R1A5A1037548). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.subject | Photovoltaic system | en_US |
dc.subject | Energy optimization | en_US |
dc.subject | Energy management | en_US |
dc.subject | Parametric analysis | en_US |
dc.subject | Campus sustainability | en_US |
dc.subject | POWER-GENERATION SYSTEMS | en_US |
dc.subject | SOUTH-KOREA | en_US |
dc.subject | ELECTRICITY | en_US |
dc.subject | FUELS | en_US |
dc.subject | MIX | en_US |
dc.title | Parametric analysis for cost-optimal renewable energy integration into residential buildings: Techno-economic model | en_US |
dc.type | Article | en_US |
dc.relation.no | 2018 | - |
dc.relation.volume | 125 | - |
dc.identifier.doi | 10.1016/j.renene.2018.03.025 | - |
dc.relation.page | 907-914 | - |
dc.relation.journal | RENEWABLE ENERGY | - |
dc.contributor.googleauthor | Jo, Jin Ho | - |
dc.contributor.googleauthor | Aldeman, Matt | - |
dc.contributor.googleauthor | Lee, Han-Seung | - |
dc.contributor.googleauthor | Ahn, Yong Han | - |
dc.relation.code | 2018008916 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DIVISION OF ARCHITECTURE | - |
dc.identifier.pid | ercleehs | - |
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