Artificial Intelligence in Net-Zero Carbon Emissions for Sustainable Building Projects: A Systematic Literature and Science Mapping Review DOI Creative Commons
Yanxue Li, Maxwell Fordjour Antwi‐Afari, Shahnawaz Anwer

и другие.

Buildings, Год журнала: 2024, Номер 14(9), С. 2752 - 2752

Опубликована: Сен. 2, 2024

Artificial intelligence (AI) has emerged as an effective solution to alleviate excessive carbon emissions in sustainable building projects. Although there are numerous applications of AI, is no state-of-the-art review how AI can reduce net-zero (NZCEs) for Therefore, this study aims conduct a systematic literature and science mapping NZCEs projects, thereby expediting the realization A mixed-method approach (i.e., mapping) consisting four comprehensive stages was used retrieve relevant published articles from Scopus database. total 154 were retrieved analyses qualitative discussions, including mainstream research topics, gaps, future directions. Six topics identified discussed. These include (1) life cycle assessment footprint, (2) practical technology, (3) multi-objective optimization, (4) energy management efficiency, (5) buildings, (6) decision support systems sustainability. In addition, suggests six gaps develops framework depicting The findings contribute advancing reducing projects help researchers practitioners realize its economic environmental benefits.

Язык: Английский

Assessing the environmental impact of building life cycle: A carbon reduction strategy through innovative design, intelligent construction, and secondary utilization DOI Creative Commons
Qingcheng Meng, Louting Hu, Mingjian Li

и другие.

Developments in the Built Environment, Год журнала: 2023, Номер 16, С. 100230 - 100230

Опубликована: Сен. 21, 2023

The sustainable development of low-carbon buildings has aroused widespread concern in the whole society. This study aims to propose a three-step carbon reduction strategy based on innovative design, intelligent construction and secondary utilization, provide new solution for industry. Based life cycle assessment method, system boundary calculation model emission compensation each stage building are redefined, effect mixed is quantitatively analyzed through case data, which proves scientific feasibility this paper. research shows that it good whether adopting structural optimization aided design architectural stage, upgrading traditional technology with 3D printing technology, or effectively disposing waste recycling.

Язык: Английский

Процитировано

12

Application of passive and active scenarios to a residential building in a dry and hot climate to achieve a positive energy building (PEB) DOI Creative Commons

Payam Sarir,

Mahdi Sharifzadeh

Heliyon, Год журнала: 2024, Номер 10(10), С. e30694 - e30694

Опубликована: Май 1, 2024

Designing a nearly zero energy building (NZEB) and more exclusively positive (PEB) hold significant importance these days. Achieving this objective requires an effective blend of renewable systems the efficient envelope. This study focuses on villa situated in southeast Kerman, Iran with hot dry summers. Commencing current energy-efficient design structure, research conducted various analyses to explore impacts different strategies or alternative approaches that contribute achieving NZEB PEB. The parameters examined analysis pertain envelope, encompass insulation scenarios, window-to-wall ratio, glass types as passive strategies, along integration wind turbine production active solution. findings indicate that, under conditions region, optimal for case involve 40 % polyurethane insulation, triple-layered argon. combination results noteworthy reduction total annual consumption, decreasing from 24,344.56 kWh 11,909.64 kWh. To offset remaining requirements transform into was employed. integrated approach not only aligns specific climatic area but also demonstrates feasibility which resulted surplus 1,414.13

Язык: Английский

Процитировано

5

Uncovering the spatiotemporal patterns of traffic-related CO2 emission and carbon neutrality based on car-hailing trajectory data DOI
Wenxin Teng, Chaoyang Shi, Yue Yu

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 467, С. 142925 - 142925

Опубликована: Июнь 16, 2024

Язык: Английский

Процитировано

5

Research on design strategies and sensing applications of energy storage system based on renewable methanol fuel DOI Creative Commons
Rongji Zhang, Jiamu Cao, Weiqi Wang

и другие.

Results in Engineering, Год журнала: 2023, Номер 20, С. 101439 - 101439

Опубликована: Сен. 26, 2023

The rapid depletion of traditional non-renewable fossil fuels has increased energy sustainability threats. Methanol is recognized as one the viable alternatives to conventional mainly due its high density and abundant raw materials. Direct methanol fuel cells (DMFCs) can convert chemical into electricity in real time, which most effective ways utilize energy. However, DMFCs have undesirable performance, such low utilization, cell voltage, unstable output hindering development technology. Herein, we design an storage system with efficiency based on passive micro DMFCs. This power consumption (only uW scale) extract methanol, efficiently it electric energy, store a stable voltage for load. Moreover, application research this been carried out. A self-powered concentration sensor designed implemented printed circuit board. It detect solution 3 M–12 M, only requiring be tested without additional supply. about 1.1 mW total 0.34 s response time. study conversion sustainable aims provide reference explore renewable

Язык: Английский

Процитировано

10

Artificial Intelligence in Net-Zero Carbon Emissions for Sustainable Building Projects: A Systematic Literature and Science Mapping Review DOI Creative Commons
Yanxue Li, Maxwell Fordjour Antwi‐Afari, Shahnawaz Anwer

и другие.

Buildings, Год журнала: 2024, Номер 14(9), С. 2752 - 2752

Опубликована: Сен. 2, 2024

Artificial intelligence (AI) has emerged as an effective solution to alleviate excessive carbon emissions in sustainable building projects. Although there are numerous applications of AI, is no state-of-the-art review how AI can reduce net-zero (NZCEs) for Therefore, this study aims conduct a systematic literature and science mapping NZCEs projects, thereby expediting the realization A mixed-method approach (i.e., mapping) consisting four comprehensive stages was used retrieve relevant published articles from Scopus database. total 154 were retrieved analyses qualitative discussions, including mainstream research topics, gaps, future directions. Six topics identified discussed. These include (1) life cycle assessment footprint, (2) practical technology, (3) multi-objective optimization, (4) energy management efficiency, (5) buildings, (6) decision support systems sustainability. In addition, suggests six gaps develops framework depicting The findings contribute advancing reducing projects help researchers practitioners realize its economic environmental benefits.

Язык: Английский

Процитировано

4