Reliability-based energy scheduling of active buildings subject to renewable energy and demand uncertainty
The increasing penetration of renewable energy sources (RESs) and the inherent volatility in demand profiles have added another layer of complexity to the management of energy resources in modern active buildings (ABs). Yet, three challenges have been neglected in previous studies: (1) There is no u...
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| Published in | Thermal science and engineering progress Vol. 28; p. 101149 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.02.2022
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| Subjects | |
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| Abstract | The increasing penetration of renewable energy sources (RESs) and the inherent volatility in demand profiles have added another layer of complexity to the management of energy resources in modern active buildings (ABs). Yet, three challenges have been neglected in previous studies: (1) There is no universal systematic method for identifying an AB’s general stochastic model; (2) No research has been conducted on the reliability-based design optimization for ABs’ energy supply; (3) Uncertain sources are not categorized based on their importance in regard to the optimization problem. This article aims to solve these challenges by proposing a probabilistic-based optimization approach for solving the reliability issue of energy supply in buildings with on-site renewable energy sources (RESs), taking into account the uncertainty associated with photovoltaic (PV) production and demand fluctuations. The suggested framework seeks to reduce the overall costs of the system while ensuring high energy supply reliability. The proposed methodology, when applied to a real-world case study, demonstrates a 60% increase in reliability of energy supply as compared to typical deterministic methodologies. |
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| AbstractList | The increasing penetration of renewable energy sources (RESs) and the inherent volatility in demand profiles have added another layer of complexity to the management of energy resources in modern active buildings (ABs). Yet, three challenges have been neglected in previous studies: (1) There is no universal systematic method for identifying an AB’s general stochastic model; (2) No research has been conducted on the reliability-based design optimization for ABs’ energy supply; (3) Uncertain sources are not categorized based on their importance in regard to the optimization problem. This article aims to solve these challenges by proposing a probabilistic-based optimization approach for solving the reliability issue of energy supply in buildings with on-site renewable energy sources (RESs), taking into account the uncertainty associated with photovoltaic (PV) production and demand fluctuations. The suggested framework seeks to reduce the overall costs of the system while ensuring high energy supply reliability. The proposed methodology, when applied to a real-world case study, demonstrates a 60% increase in reliability of energy supply as compared to typical deterministic methodologies. |
| ArticleNumber | 101149 |
| Author | Razban, Ali Akbari, Amin Taheri, Saman Ghahremani, Bahareh |
| Author_xml | – sequence: 1 givenname: Saman orcidid: 0000-0002-0253-9443 surname: Taheri fullname: Taheri, Saman organization: Department of Mechanical Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University, Indianapolis, IN 46202, USA – sequence: 2 givenname: Amin surname: Akbari fullname: Akbari, Amin organization: Department of Mechanical Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University, Indianapolis, IN 46202, USA – sequence: 3 givenname: Bahareh orcidid: 0000-0002-4265-8375 surname: Ghahremani fullname: Ghahremani, Bahareh organization: School of Advanced Technologies, Iran University of Science and Technology, Tehran, Iran – sequence: 4 givenname: Ali orcidid: 0000-0002-7794-5761 surname: Razban fullname: Razban, Ali email: arazban@iupui.edu organization: Department of Mechanical Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University, Indianapolis, IN 46202, USA |
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| CitedBy_id | crossref_primary_10_1016_j_tsep_2023_101906 crossref_primary_10_1016_j_tsep_2023_101851 crossref_primary_10_3390_buildings14113428 crossref_primary_10_1016_j_jobe_2022_105067 crossref_primary_10_1038_s41598_024_71672_0 crossref_primary_10_3390_technologies12100197 crossref_primary_10_3390_c8020026 |
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| Keywords | Probabilistic optimization Energy supply Scheduling Reliability Active buildings |
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| SubjectTerms | Active buildings Energy supply Probabilistic optimization Reliability Scheduling |
| Title | Reliability-based energy scheduling of active buildings subject to renewable energy and demand uncertainty |
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