Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction

Journal of Cleaner Production, Год журнала: 2022, Номер 384, С. 135504 - 135504

Опубликована: Дек. 7, 2022

The construction sector is one of the main contributors to carbon dioxide (CO2) emission and causes global warming. CO2 mitigation solutions are vital. New technologies can facilitate improve these efforts. Thus, paper reviews how new artificial intelligence machine learning have contributed emissions reduction in what techniques been applied literature provide significant information that will be beneficial for design management. provides results a content review, including their contributions gaps. A total 78 papers were identified develop dataset. method was combination systematic reviews, co-occurrence analytical map development keywords, co-authorship network analyses, publication source analysis, theme identification review selected papers, which divided into five conceptual clusters based on scopes: (1) sustainable materials components design/production, (2) on-site vehicles equipment, (3) energy life cycle assessment, (4) optimization, decision-making solution-based platforms, (5) real-world monitoring. each cluster also reviewed, potential gaps discussed. set directions future research investigations presented valuable researchers research. This contributes current knowledge base by presenting insights intelligent industry mitigate emissions.

Язык: Английский

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Using quantum spherical fuzzy decision support system as a novel sustainability index approach for analyzing industries listed in the stock exchange

Borsa Istanbul Review, Год журнала: 2022, Номер 22(6), С. 1145 - 1157

Опубликована: Окт. 17, 2022

This study aims to identify critical factors of the sustainability index (SI) and evaluate industries listed in stock exchange based on performance this index. For purpose, a new fuzzy decision-making model has been created. Firstly, 12 different criteria for SI are weighted by decision using trial evaluation laboratory (DEMATEL) methodology quantum spherical sets (QFS) with golden cut. Secondly, performances 10 industry alternatives ranked extended technique order preference: according similarity through an ideal solution (TOPSIS) QFS. The main novelty is significant companies join original methodology. analysis results help act without incurring extreme costs. It determined that usage renewable energy impact all other criteria, while clean energy, get chance improve SI. Additionally, weighting results, use most criterion be included Similarly, recovery resources also contribution. Finally, ranking indicate communication IT successful Hence, it would appropriate businesses attach importance energy. In way, carbon emission problem minimized, image will rise eyes both consumers investors. framework, can microgrid management systems handle high-cost problems investment projects. Owing applications, costs shared companies, since situation reduce cost per unit, possible increase

Язык: Английский

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Thermal comfort in temporary buildings: A review

Building and Environment, Год журнала: 2022, Номер 221, С. 109262 - 109262

Опубликована: Июнь 5, 2022

Язык: Английский

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Preliminary Environmental Assessment of Ultra-High-Performance Concrete Mixtures

Lecture notes in civil engineering, Год журнала: 2025, Номер unknown, С. 589 - 598

Опубликована: Янв. 1, 2025

Язык: Английский

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Experimental characterization of comfort performance parameters and multi-criteria sustainability assessment of recycled textile-reinforced cement facade cladding

Journal of Cleaner Production, Год журнала: 2022, Номер 356, С. 131900 - 131900

Опубликована: Апрель 25, 2022

Within the building construction sector, fiber cement boards have attracted interest as facade cladding materials in last ten years, especially those that incorporate –for reinforcing purposes– natural and/or recycled synthetic fibers (i.e, from textile industry). So far, design-governing parameters of panels been mechanical strength, durability, constructability, aesthetics, insulation capacity, and fire resistance. From sustainability perspective, impact on economic energy efficiency performance is most often parameter leads decision-making process. this context, quantification –accounting for economic, environmental, social indicators– unfrequently carried out design project phases, being attributed to lack methodologies allow considering quantifying some relevant indicators representative performance. As consequence, decisions made based solely environmental might lead solutions with lower than required (or expected). Recycled waste fabric-reinforced board a facade-cladding material envelopes focus research. In order characterize resistance, thermal acoustic –as serviceability parameters– material, an experimental program was out. Likewise, assessed through method Integrated Value Model Sustainability Assessment (MIVES). This multi-criteria decision making (MCDM) model relies value function concept multi-disciplinary participation experts identify quantify relative importance requirements. The MIVES-based generated research can be straightforwardly used assessing techniques any type (and location). application MIVES led index new ranging 0.68 0.71 (/1.00) different weighting scenarios.

Язык: Английский

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An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO ₂ emission

Energy Sources Part A Recovery Utilization and Environmental Effects, Год журнала: 2023, Номер 45(3), С. 9149 - 9177

Опубликована: Июль 9, 2023

Predictive analytics utilizing machine learning algorithms play a pivotal role in various domains, including the profiling of carbon dioxide (CO2) emissions. This research paper delves into an extensive exploration different algorithms, encompassing neural networks with diverse architectures, optimization, training, ensemble, and specialized algorithms. The primary objective this is to evaluate efficacy supervised unsupervised Deep Belief Networks, Feed Forward Neural Gradient Boosting, Regression, as well Convolutional Gaussian, Grey, Markov models, clustering optimization study places particular emphasis on data-driven methodologies cross-validation techniques evaluation models entailing comprehensive validation, testing, employing metrics such R2, MAE, RMSE. employs correlation analysis examine relationship between input parameters emission characteristics. highlights advantageous attributes these accurately forecasting CO2 emissions, evaluating energy sources, improving prediction accuracy, estimating Notably, deep learning, Artificial Networks (ANN), Support Vector Machines (SVM) demonstrate effectiveness across industries, while Modified Regularized Fast Orthogonal-Extreme Learning Machine (MRFO-ELM) algorithm optimizes predictions specifically related coal chemical Hybrid accuracy predicting emissions consumption, whereas gray provide reliable estimates even limited data. However, it important acknowledge certain limitations, data requirements, potential inaccuracies arising from complex factors, constraints faced by developing countries, impact electric vehicle expansion power grid. To optimize survey conducted, involving customization rates, exploring performance model accuracy. outcomes contribute effective monitoring operational environments, thereby aiding executive decision-making processes.

Язык: Английский

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An enhanced multi-criteria decision-making approach oriented to sustainability analysis of building facades: A case study of Barcelona

Journal of Building Engineering, Год журнала: 2022, Номер 54, С. 104630 - 104630

Опубликована: Май 20, 2022

As one of the main and largest components, facades make a determining contribution to sustainability performance whole building. Thus, selecting optimal wall system is key challenge for designers, especially on multi-material facades. To meet requirements (i.e., cost, energy performance, aesthetics, maintainability) determined by stakeholders client, authorities, designers), this selection involves many variables, several which are subjective uncertain, leading challenging decision-making process. In context, research intended design calibrate new sustainability-oriented approach facade systems, first existing model purpose authors' best knowledge. The couples MIVES Knapsack algorithm generate sets multiple-material facades, once boundary conditions established, select according indexes. A building in Barcelona with was analysed using proposed to: (1) determine combination materials systems configure facade, based both local technical legislation requirements; (2) validate results model. regard, proved that most solutions highest index consisted 10 cm concrete panel, 4 Rockwool insulation, 7 interior 2 layers gypsum board. This implemented object study case. can be adapted different conditions, regional regulations stakeholders' preferences. being introduced within Council analyse purposes renovation projects.

Язык: Английский

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Serviceability parameters and social sustainability assessment of flax fabric reinforced lime-based drywall interior panels

Journal of Building Engineering, Год журнала: 2023, Номер 76, С. 107406 - 107406

Опубликована: Июль 21, 2023

In the search of more environmentally-friendly construction materials, use natural-based fibers has gained much attention as reinforcement in inorganic-based matrix. this paper, nonwoven flax fabric reinforced lime composites are created using a dewatering technique, and serviceability parameters –thermal conductivity, sound absorption coefficient, residual flexural resistance after exposure to elevated temperature– determined experimentally. The tests carried out on two different prepared under distinct curing regimens, i.e., accelerated carbonation CO2 chamber natural laboratory conditions, evaluate effect forced carbonation. addition, experimental results included MIVES model (Integrated Value Model for Sustainability Assessment) social sustainability developed material an interior drywall panel. MIVES, type multi-criteria decision-making method, is based value function concept seminars with experts. According tests, cured sample higher thermal conductivity (∼4 times) lower coefficients (∼20%) than naturally one. Nonetheless, performance former 50% (at room temperature) 100% better. As index assessed by MIVES-based multi-objective approach, it ranges between 0.65 0.75 (out 1.0) both composite panels, at least 20% control panel no reinforcement. designed research can be used assessing other materials although weights assigned experts could adapted reflect perceptions local preferences.

Язык: Английский

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Evaluating Sustainability in Post-Conflict Reconstruction: A Case Study of Blast-Damaged Buildings Without Structural Collapse Risk in Syria

Buildings, Год журнала: 2025, Номер 15(3), С. 369 - 369

Опубликована: Янв. 24, 2025

In the context of post-war reconstruction, this study introduces a novel assessment model tailored for preliminary management blast-damaged reinforced concrete buildings without structural collapse risk. The addresses critical challenge prioritizing reconstruction efforts within constraints time and resources while integrating economic, environmental, social dimensions. Developed using Integrated Value Model Sustainable Assessment refined through Delphi method, provides stakeholders with practical tool to evaluate alternative scenarios, including refurbishment, demolition, retained identity, preservation future work. Validation is carried out case tourist hotel in historic area Damascus, where report confirmed building posed no results indicate that “preservation work” most sustainable option environmentally, “refurbishment” emerges as economically socially. This highlights importance comprehensive damage assessments sustainability-oriented tools resilient strategies respect heritage contexts.

Язык: Английский

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Developing a Multi-Criteria Decision-Aiding Method for Post-Disaster Temporary Housing in Iran

Опубликована: Янв. 1, 2025

Язык: Английский

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