Impact of introducing penalty-cost on optimal design of renewable energy systems for net zero energy buildings
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DOI: 10.1016/j.apenergy.2018.10.112
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- Gao, Yuan & Hu, Zehuan & Shi, Shanrui & Chen, Wei-An & Liu, Mingzhe, 2024. "Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan," Applied Energy, Elsevier, vol. 359(C).
- Maria Rosaria Guarini & Pierluigi Morano & Francesco Sica, 2020. "Historical School Buildings. A Multi-Criteria Approach for Urban Sustainable Projects," Sustainability, MDPI, vol. 12(3), pages 1-24, February.
- Lu, Yuehong & Zhang, Xiao-Ping & Li, Jianing & Huang, Zhijia & Wang, Changlong & Luo, Liang, 2019. "Design of a reward-penalty cost for the promotion of net-zero energy buildings," Energy, Elsevier, vol. 180(C), pages 36-49.
- Seung Hyo Baek & Byung Hee Lee, 2019. "Optimal Decision-Making of Renewable Energy Systems in Buildings in the Early Design Stage," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
- Yoorae Noh & Shahryar Jafarinejad & Prashant Anand, 2024. "A Review on Harnessing Renewable Energy Synergies for Achieving Urban Net-Zero Energy Buildings: Technologies, Performance Evaluation, Policies, Challenges, and Future Direction," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
- Yuehong Lu & Mohammed Alghassab & Manuel S. Alvarez-Alvarado & Hasan Gunduz & Zafar A. Khan & Muhammad Imran, 2020. "Optimal Distribution of Renewable Energy Systems Considering Aging and Long-Term Weather Effect in Net-Zero Energy Building Design," Sustainability, MDPI, vol. 12(14), pages 1-20, July.
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Keywords
Net zero energy building; Penalty cost; Safety factor; Monte Carlo simulation;All these keywords.
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