Optimal Analysis of Multi-Energy System towards Low-Carbon Building

Tian, Ying; Wu, Jian; Xu, Zhanbo; Yang, Jing; Guan, Xiaohong

doi:10.1109/cac57257.2022.10054904

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…This study, however, emphasizes the complexity of interactions between these variables, considering both Y and X concerning LCC, LCS, and N across different heat sources (CFB, GFB, ASHP) (Tables 1-3). By examining various thickness combinations, this research provides a deeper understanding of how these variables interact, providing a balance between thermal performance, cost-effectiveness, and environmental considerations [14,15]. The detailed examination of variation in insulation and structural layer thickness provides valuable insights into the optimal design of CIEW, emphasizing the relationship between these variables and life cycle costs, savings, and payback time.…”

Section: Traditional Methodologies Vs New Insightsmentioning

confidence: 99%

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Estimating Optimal Cost, Insulation Layer Thickness, and Structural Layer Thickness of Different Composite Insulation External Walls Using Computational Methods

Alrasheed

2023

Buildings

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All the modern gadgets and space conditioning in buildings consume lots of energy. Energy consumption can be optimized using Composite Insulation External Walls (CIEW) built from mortar plaster and structural and insulation layers. This study aimed to improve the overall performance of CIEW by optimizing the structural and insulation layer thickness. The objective was to minimize the Life Cycle Cost (LCC) and maximize the Life Cycle Savings (LCS) of CIEW. The nonlinear Least Squares Estimation (LSE) optimization technique for optimizing LCC and LCS of CIEW was used in the study. The study considered three insulation materials—Extruded Polystyrene (XPS), Rock Wool (RW), and Glass Wool (GW)—across three heat sources, including Circulating Fluidized Bed (CFB), Grate-Fired Boiler (GFB), and Air-Source Heat Pump (ASHP). The Life Cycle Cost Analysis (LCCA) methodology suggested by Huang using a traditional optimization technique was used as a basis for mathematical formulations and result comparison. The payback period of CIEW with optimal structural and insulation layer thickness was computed. The findings revealed that applying the LSE method enabled greater economic efficiency than the LCCA method, with an up to 9.12% increase in LCS value and an up to 7.41% decrease in LCC value. The research also revealed significant correlations between insulation and structural layer thicknesses and economic parameters.

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Section: Traditional Methodologies Vs New Insightsmentioning

confidence: 99%

“…The structural and insulation cost will be recovered when Equation ( 13) is zero [13]. Accordingly, the payback period (N) is computed using Equation (14).…”

Section: Payback Periodmentioning

confidence: 99%

Estimating Optimal Cost, Insulation Layer Thickness, and Structural Layer Thickness of Different Composite Insulation External Walls Using Computational Methods

Alrasheed

2023

Buildings

View full text Add to dashboard Cite

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Optimal Analysis of Multi-Energy System towards Low-Carbon Building

Cited by 1 publication

References 7 publications

Estimating Optimal Cost, Insulation Layer Thickness, and Structural Layer Thickness of Different Composite Insulation External Walls Using Computational Methods

Estimating Optimal Cost, Insulation Layer Thickness, and Structural Layer Thickness of Different Composite Insulation External Walls Using Computational Methods

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