Optimal Distribution of Renewable Energy Systems Considering Aging and Long-Term Weather Effect in Net-Zero Energy Building Design

Yuehong Lu, Mohammed Alghassab, Manuel S. Alvarez-Alvarado, Hasan Gunduz, Zafar A. Khan and Muhammad Imran
Additional contact information
Yuehong Lu: Department of Civil Engineering and Architecture, Anhui University of Technology, Ma’anshan 243002, China
Mohammed Alghassab: Department of Electrical and Computer Engineering, Shaqra University, Riyadh 11911, Saudi Arabia
Manuel S. Alvarez-Alvarado: Faculty of Engineering in Electricity and Computing, Escuela Superior Politécnica del Litoral, Guayaquil EC 09-01-5863, Ecuador
Hasan Gunduz: Department of Electricity and Energy, Mus Alparslan University, Mus 49250, Turkey
Zafar A. Khan: Department of Electrical Engineering, Mirpur University of Science and Technology, Mirpur (A.K.) 10250, Pakistan
Muhammad Imran: School of Engineering and Applied Science, Mechanical Engineering and Design, Aston University, Birmingham B4 7ET, UK

Sustainability, 2020, vol. 12, issue 14, 1-20

Abstract: Generation system interruptions in net-zero energy buildings (NZEBs) may result in missing the net-zero targets by a great margin. Consequently, it is significant to incorporate a realistic reliability model for renewable energy systems (RESs) that considers aging and long-term weather conditions. This study proposed a robust design optimization method that deals with the selection of RES to achieve NZEB. Different case studies were evaluated: 1. Deterministic approach; 2. Markov chain-based reliability without the aging effect; 3. Markov chain-based reliability with the aging effect. The results showed that the optimal sizes of RES, considering the aging effect, were much larger than the other two cases based on the annual energy balance. Moreover, the consideration of the aging effect on the reliability assessment of the generation system for NZEB opens a pathway for a more robust and economic design of RES.

Keywords: aging effect; Markov chain model; Monte Carlo simulation; net-zero energy building (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/14/5570/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/14/5570/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:14:p:5570-:d:382850

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().