An assessment of reducing energy consumption for optimizing building design in various climatic conditions

Fazelpour, Farivar; Bakhshayesh, Ali; Alimohammadi, Reza; Saraei, Alireza

doi:10.1007/s40095-021-00461-6

Cited by 15 publications

(3 citation statements)

References 39 publications

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“…In order to solve for the optimal allocation of capacity, three objective functions are define, economic cost of the system, the rate of wind and photovoltaic power consumption, and the rate of load shortage. The first objective function f 1 is to minimize the economic cost of the system [44], which includes the investment cost of the system (C ic ), the operation and maintenance cost of the system (C oc ) and the replacement cost of the system (C re ). The function can be expressed as,…”

Section: Objective Functionmentioning

confidence: 99%

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

Liu¹,

Liu²

2023

Energy Engineering

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The optimal allocation of integrated energy system capacity based on the heuristic algorithms can reduce economic costs and achieve maximum consumption of renewable energy, which has attracted many attentions. However, the optimization results of heuristic algorithms are usually influenced by the choice of hyperparameters. To solve the above problem, the particle swarm algorithm is introduced to find the optimal hyperparameters of the heuristic algorithms. Firstly, an integrated energy system consisting of the photovoltaic, wind turbine, electrolysis cell, hydrogen storage tank, and energy storage is established. Meanwhile, the minimum economic cost, the maximum wind and PV power consumption rate, and the minimum load shortage rate are considered to be the objective functions. Then, a hybrid method combined the particle swarm combined with non-dominated sorting genetic algorithms-II is proposed to solve the optimal allocation problem. According to the optimal result, the economic cost is 6.3 million RMB, and the load shortage rate is 9.83%. Finally, four comparative experiments are conducted to verify the superiority-seeking ability of the proposed method. The comparative results indicate that the proposed method possesses a stronger merit-seeking ability, resulting in a solution satisfaction rate of 87.37%, which is higher than that of the unimproved non-dominated sorting genetic algorithms-II.

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Section: Objective Functionmentioning

confidence: 99%

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

Liu¹,

Liu²

2023

Energy Engineering

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“…In terms of model validation, this study focused mainly on the comparison for the different DSF cases but in the same context (the use of external façade window glazing was the only variable), in which the simulation results were used to identify the discrepancy between the two DSF models rather than a single case developed in DesignBuilder. As a matter of fact, the DesignBuilder based BIPV-DSF modelling has been validated through various studies [33][34][35], which, therefore, was applied to this study.…”

Section: Parametersmentioning

confidence: 99%

Effect of Semi-Transparent A-Si Pv Glazing within Double-Skin Façades on Visual and Energy Performances Under the UK Climate Condition

Roberts

Yang

et al. 2022

SSRN Journal

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“…For instance, Zhang et al [16] reported that using the lead wire fixed gravel as the backwall materials could significantly increase the heat preservation performance of the greenhouse relative to the ordinary brick. Bao et al [17][18][19][20] designed a new composite backwall using porous brick and solidified sand. For further improvement, active heat storage and cycling system were added to the passive heat storage wall.…”

Section: Introductionmentioning

confidence: 99%

Application performances of two greenhouses with new types of backwall in Yangling, China

Sun¹,

Wang²,

Zhu³

et al. 2022

International Journal of Agricultural and Biological Engineering

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In order to investigate the application performances of the solar greenhouses with new types of backwalls (greenhouse W 2 , and greenhouse W 3 ) and the ordinary clay brick backwall greenhouse (greenhouse W 1 ), and provide a theoretical basis for the construction of solar greenhouses in Yangling Demonstration Zone, Shaanxi, China, two greenhouses with different new types of backwall were designed. One of the backwall was built with lightweight aggregate concrete block (greenhouse W 2 ) and that of the other one was assembled with a row of sand-filled cement pipes (greenhouse W 3 ). The tested greenhouses were constructed in Yangling Demonstration Zone. Based on the data collected on typical sunny and cloudy days, the indoor temperature, inside wall temperature, and the heat flow of the greenhouses with new types of backwalls were compared with those detected in the ordinary clay brick backwall solar greenhouse, and the tested results were numerically simulated. According to the comparison of the physiological indicators of tomatoes planted in the greenhouses and the construction costs, the greenhouse type with the best practicability was found. The results indicated that: The average air temperature in greenhouses W 1 , W 2 , and W 3 and outside was 15.1°C, 15.9°C, 17.3°C, and −0.4°C on the night of a sunny day, and the air temperature in W 3 was the highest. The average air temperature in greenhouses W 1 , W 2 , and W 3 and outside were 9.5°C, 13.3°C, 11.0°C, and −5.5°C on the night of a cloudy day, the air temperature in W 2 was the highest. In the depth of 0-330 mm from the interface of the backwalls, the walls were obviously affected by the solar radiation, and the temperature changed greatly. The wall temperature on the sunny days exhibited an ascending order of W 1 , W 2 , and W 3 , while on the cloudy days was in the ascending order of W 1 , W 3 , and W 2 . The wall of W 3 absorbed the most heat during the daytime and released the most heat at night on a sunny day, while W 2 exhibited the second most heat absorption during the daytime, however, it exhibited the highest heat release at night on a cloudy day, which were almost equaled to its heat absorption. Tomatoes in W 3 grew well and exhibited the highest yield, and this greenhouse had the lowest construction costs. Comprehensively considering the physiological indicators of tomatoes and the corresponding construction costs of greenhouses, W 3 has the best application performance in Yangling Demonstration Zone.

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An assessment of reducing energy consumption for optimizing building design in various climatic conditions

Cited by 15 publications

References 39 publications

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

Effect of Semi-Transparent A-Si Pv Glazing within Double-Skin Façades on Visual and Energy Performances Under the UK Climate Condition

Application performances of two greenhouses with new types of backwall in Yangling, China

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