Energy Storage and Saving, Год журнала: 2024, Номер unknown
Опубликована: Дек. 1, 2024
Язык: Английский
Sustainability, Год журнала: 2025, Номер 17(6), С. 2357 - 2357
Опубликована: Март 7, 2025
With a focus on reducing building energy consumption, approaches that simultaneously optimize multiple passive design parameters in industrial buildings have received limited attention. Most existing studies tend to examine geometry or individual under scenarios, underscoring the potential benefits of adopting comprehensive, multiparameter approach integrates climate-responsive and sustainable strategies. This study bridges gap by systematically optimizing key parameters—building geometry, orientation, window-to-wall ratio (WWR), glazing type—to minimize loads enhance sustainability across five distinct climate zones. Fifteen different geometries with equal floor areas volumes were analyzed, considering fifteen types orientations varying 30° increments. DesignBuilder simulations yielded 16,900 results, due inherent challenges directly within simulation environments, data restructured reveal underlying relationships. An Energy Performance Optimization Model, based Particle Swarm (PSO) algorithm integrated an Artificial Neural Network (ANN), was developed identify optimal solutions tailored specific climatic conditions. The optimization results successfully determined combinations WWR, type reduce heating cooling loads, thereby promoting efficiency carbon emissions buildings. offers practical solution set provides architects actionable recommendations during early phase, establishing machine learning-based framework for achieving sustainable, energy-efficient, designs.
Язык: Английский
Процитировано
0
Buildings, Год журнала: 2025, Номер 15(6), С. 939 - 939
Опубликована: Март 17, 2025
Residential buildings are turning out to be huge power-consumption units that accommodate multiple families. To limit energy consumption and environmental impacts, conventional being retrofitted as green buildings. However, due the lack of awareness among residents construction agencies, adoption pace building retrofitting is slow. Under current procedures, envelopes have been given great attention, which an expensive complex process. sizing lighting cooling loads has not considered in process, careful attention needed they major loads. In this research, appropriate loads, along with optimized water consumption, performed. The obtained using parametric variations, i.e., varying coefficient utilization (CU) factor wall-to-window ratio (WWR) different rooms quantify their impact on power consumption. optimization performed particle swarm optimization. A case study a residential was taken, unit study. It found variations can reduce sizing, significant overall whereas optimizing significantly building. Finally, comparison made terms for practices optimal analysis. proposed subsequent retrofitting, reduced 34%, space requirements were 19%.
Язык: Английский
Процитировано
0
Building and Environment, Год журнала: 2024, Номер 262, С. 111776 - 111776
Опубликована: Июнь 25, 2024
Язык: Английский
Процитировано
3
Indoor and Built Environment, Год журнала: 2024, Номер 33(6), С. 1128 - 1147
Опубликована: Март 16, 2024
Current building techniques in developing countries have become extremely critical. The net-zero energy concept has emerged as an essential strategy for minimising consumption and greenhouse gas emissions. However, its implementation, particularly countries, remains a critical challenge. purpose of this work is to assess the feasibility achieving by combining energy-efficient design practices renewable systems under climatic conditions Republic Congo. To achieve stipulated objectives, DesignBuilder software was utilised modelling, load assessment multiobjective optimisation efficiency measures, multicriteria carried out using HOMER tool. results showed that implementation measures resulted 39.15% savings, 43.45% thermal savings 55.68% discomfort hours reduction. Furthermore, system can provide 100% building’s total 3341.84 kgCO 2 eq/year. system’s levelised cost estimated at 0.256 $/kWh, with net present $20,231, while overall life cycle calculated 188.91 $/m .
Язык: Английский
Процитировано
2
Energies, Год журнала: 2024, Номер 17(11), С. 2702 - 2702
Опубликована: Июнь 2, 2024
In the European Union, buildings account for 42% of energy consumption and 36% direct indirect energy-related greenhouse gas emissions. Reducing thermal power heating purposes is crucial to achieve climate neutrality. The main purpose this article identify places in building where it possible significantly improve efficiency through use appropriate construction material solutions. This contains a multi-aspect approach heat balance building. Solutions that have impact on were analysed, taking into architectural, technological, aspects. Particular attention was paid energy-efficient design solutions non-transparent transparent external walls storage (Trombe walls). An analysis transfer elements carried out, along with optimisation barriers. Two methods determining equivalent coefficient Ue solar active partitions are presented. presented work using original method balanced testing ground identifying unfavourable features structure, as well most can be used establishing standards modernisation buildings. value illustrates actual partition. Having values various structural envelopes, designer easily select effective ones. methodology will allow technical its efficiency.
Язык: Английский
Процитировано
1
Applied Energy, Год журнала: 2024, Номер 377, С. 124597 - 124597
Опубликована: Окт. 16, 2024
Язык: Английский
Процитировано
1
THEORETICAL AND APPLIED ISSUES OF ECONOMICS, Год журнала: 2024, Номер 49, С. 150 - 166
Опубликована: Янв. 1, 2024
Against the backdrop of global challenges such as geopolitical instability, environmental threats, and social crises, Ukraine's energy system has come under unprecedented pressure, requiring tactical responses to destruction infrastructure well long-term strategic solutions ensure its resilience efficiency. Currently, state efforts focused on operational measures, including restoration damaged power plants, support for decentralized sources, mobilizing foreign aid meet seasonal demands. However, despite existing national programs, National Energy Efficiency Plan, several unresolved aspects require further detailing adaptation current conditions. Specifically, there is a lack concrete steps integrating sources into building projects, flexible mechanisms operate during disruptions, incentives widespread use green technologies in large-scale construction. This research aims analyze opportunities related enhancing efficiency construction sector through innovative artificial intelligence (AI), machine learning (ML), digital twins, eco-friendly materials. The study utilizes methods content analysis, comparative situational expert evaluation develop practical recommendations both companies government bodies. results indicate that autonomy resilience, particularly twins IoT, are most effective wartime. Larger-scale solutions, smart energy-efficient buildings, investment they may be implemented post-war period. introduction AI ML not only improves but also helps reduce carbon footprint, which positively affects at environment aids adapting climate change.
Язык: Английский
Процитировано
1
Опубликована: Дек. 28, 2023
The energy crisis is currently a major topic in scientific and managerial discussions the building construction industry. While employing low-cost strategies for reducing usage beneficial principals decision-makers, primary purpose of this study to recommend use phase change materials (PCM) improve cooling heating load management buildings. In order accomplish this, applies design-builder simulations developing country case study. results indicate that integrating PCM buildings can reduce by around 6 percent. Although value may be lower than other techniques, it nevertheless important reaching green goals both developed nations. study, which takes place four-season region, demonstrates significant potential system management. addition, reciprocal performance improvement PCMs remarkable characteristic, especially when contrasted some conventional systems focus on single objective Lastly, should underlined suggested platform consistent with Sustainable Development Goal 7 (Affordable Clean Energy Targets).
Язык: Английский
Процитировано
3
Sustainability, Год журнала: 2023, Номер 15(17), С. 12793 - 12793
Опубликована: Авг. 24, 2023
Energy consumption in buildings depends on many factors, including envelope materials. This paper aims to propose a method based cluster analysis for finding reference models actual construction systems of low-income housing. Such can be used future thermal and energy performance studies. Data the composition sample 106 dwellings were obtained through field survey Florianópolis, southern Brazil. Cluster analyses performed group similar materials together, therefore, model was each cluster. Computer simulations hypothesis tests verify whether represented sample. Three from analysis. 1 comprised houses with ceramic-brick walls, concrete floor, slabs. 2 ceramic tiles, wooden ceilings. 3 cement better than other clusters cold season (mean degree-hour 1299 cooling 1361 heating model). over hot 1014 1451 heating). showed worst 3793 2988 Thus, have shown that three differ represent their properly. practical objective obtaining models.
Язык: Английский
Процитировано
2
Energy, Год журнала: 2024, Номер 305, С. 132227 - 132227
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
0