Mitigating the Energy Consumption and the Carbon Emission in the Building Structures by Optimization of the Construction Processes

Tabrizikahou, Alireza; Nowotarski, Piotr

doi:10.3390/en14113287

Cited by 29 publications

(16 citation statements)

References 54 publications

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“…On average we find that every month of full lockdown reduced the demand by 20% on average, or over 1.5% on an annual basis [5]. Therefore, focusing on methods to optimize the energy efficiency and promoting sustainability in the building's component while considering the quality of indoor spaces has been one of the trend topics among researchers [6][7][8][9][10][11][12][13]. In Iran, artificial lighting is reported to contribute up to 25% of electricity consumption in office buildings [14].…”

Section: Introductionmentioning

confidence: 99%

Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran

et al. 2021

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(1) Background: considering multiple, and somehow conflicting, design objectives can potentially make achieving a high-performance design a complex task to perform. For instance, shading devices can dramatically affect the building performance in various ways, such as energy consumption and daylight. This paper introduces a novel procedure for designing shading devices as an integral part of daylightophil architecture for office buildings by considering daylight and energy performance as objectives to be optimal. (2) Methods: to address the topic, a three-step research method was used. Firstly, three different window shades (fixed and dynamic) were modeled, one of which was inspired by traditional Iranian structures, as the main options for evaluation. Secondly, each option was evaluated for energy performance and daylight-related variables in critical days throughout the year in terms of climatic conditions and daylight situations (equinoxes and solstices including 20 March, 21 June, 22 September, and 21 December). Finally, to achieve a reliable result, apart from the results of the comparison of three options, all possible options for fixed and dynamic shades were analyzed through a multi-objective optimization to compare fixed and dynamic options and to find the optimal condition for dynamic options at different times of the day. (3) Results: through different stages of analysis, the findings suggest that, firstly, dynamic shading devices are more efficient than fixed shading devices in terms of energy efficiency, occupants’ visual comfort, and efficient use of daylight (roughly 10%). Moreover, through analyzing dynamic shading devices in different seasons and different times of the year, the optimal form of this shading device was determined. The results indicate that considering proper shading devices can have a significant improvement on achieving high-performance architecture in office buildings. This implies good potential for daylightophil architecture, but would require further studies to be confirmed as a principle for designing office buildings.

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Section: Introductionmentioning

confidence: 99%

Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran

et al. 2021

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“…Additionally, each year, the gap between supply (new plus existing) and demand for infrastructure is increasing (World Economic Forum 2014). Therefore, sustainable and economical management of existing civil infrastructure is currently an important challenge (ASCE 2017;Amin and Watkins 2018;Tabrizikahou and Nowotarski 2021).…”

Section: Introductionmentioning

confidence: 99%

Methodology Maps for Model-Based Sensor-Data Interpretation to Support Civil-Infrastructure Management

Pai¹,

Smith

2022

Front. Built Environ.

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With increasing urbanization and depleting reserves of raw materials for construction, sustainable management of existing infrastructure will be an important challenge in this century. Structural sensing has the potential to increase knowledge of infrastructure behavior and improve engineering decision making for asset management. Model-based methodologies such as residual minimization (RM), Bayesian model updating (BMU) and error-domain model falsification (EDMF) have been proposed to interpret monitoring data and support asset management. Application of these methodologies requires approximations and assumptions related to model class, model complexity and uncertainty estimations, which ultimately affect the accuracy of data interpretation and subsequent decision making. This paper introduces methodology maps in order to provide guidance for appropriate use of these methodologies. The development of these maps is supported by in-house evaluations of nineteen full-scale cases since 2016 and a two-decade assessment of applications of model-based methodologies. Nineteen full-scale studies include structural identification, fatigue-life assessment, post-seismic risk assessment and geotechnical-excavation risk quantification. In some cases, much, previously unknown, reserve capacity has been quantified. RM and BMU may be useful for model-based data interpretation when uncertainty assumptions and computational constraints are satisfied. EDMF is a special implementation of BMU. It is more compatible with usual uncertainty characteristics, the nature of typically available engineering knowledge and infrastructure evaluation concepts than other methodologies. EDMF is most applicable to contexts of high magnitudes of uncertainties, including significant levels of model bias and other sources of systematic uncertainty. EDMF also provides additional practical advantages due to its ease of use and flexibility when information changes. In this paper, such observations have been leveraged to develop methodology maps. These maps guide users when selecting appropriate methodologies to interpret monitoring information through reference to uncertainty conditions and computational constraints. This improves asset-management decision making. These maps are thus expected to lead to lower maintenance costs and more sustainable infrastructure compared with current practice.

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“…With increasingly serious global warming, the issue of energy consumption cannot be ignored. Energy consumption of construction sector has become a crucial part in global energy consumption [1][2][3][4][5][6]. Construction sector as the one of the highest energy consumption sectors in China, is the core sector of Chinese energy consumption [7].…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Linkages of the Chinese Construction Sector

Song

2022

Energies

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The purpose of this paper is to explore the relationships between the construction sector and the rest of the Chinese economy in the energy consumption as it is crucial in energy consumption of the whole economy. Therefore, this paper uses the Modified Hypothetical Extraction Method (MHEM) to quantify the linkages of energy consumption in 2002, 2005, 2007, 2010, 2012, 2015, 2017 and 2018, providing a new perspective for energy consumption linkage studies in China. In this paper we discover the volumes and paths of energy consumption net flows from other blocks to the construction sector and identify the key energy suppliers of the construction sector. The empirical findings show that the indirect energy consumption exceeded the direct energy consumption between 2002 and 2018, representing more than 90% of total (direct plus indirect) energy consumption of the construction sector. Between 2002 and 2018, the indirect energy consumption of the construction sector increased from 27,579 to 111,760 × 104 tons of coal equivalent (tce). We further find that the construction sector has the largest inflows of energy consumption to obtain its own demand than other sectors from 2002 to 2018. The average annual energy consumption net flows from other seven sectors to the construction sector were 1477, 687, 47,998, 6067, 1483, 7362 and 1923 × 104 tce in 2002–2018, respectively. Moreover, we find that the Manufacturing sector is the largest energy supplier of the construction sector between 2002 and 2018.

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Mitigating the Energy Consumption and the Carbon Emission in the Building Structures by Optimization of the Construction Processes

Cited by 29 publications

References 54 publications

Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran

Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran

Methodology Maps for Model-Based Sensor-Data Interpretation to Support Civil-Infrastructure Management

Energy Consumption Linkages of the Chinese Construction Sector

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