Добірка наукової літератури з теми "Low carbon footprint"

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Статті в журналах з теми "Low carbon footprint"

1

Ho, Zih Ping. "Restaurant Facilities Layout - Reducing Carbon Footprint Aspect." Applied Mechanics and Materials 58-60 (June 2011): 618–23. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.618.

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Reducing carbon footprint is a trend within modern green restaurants. A carbon footprint is the total set of greenhouse gas (GHG) emissions caused by an organization, event or product. Food and beverage restaurants have to deliver food using a minimal carbon footprint. Of previous researches, only a small fraction is focused on reducing carbon footprints in a culinary room. Besides, a carbon footprint cost model was hard to solve in economic computation time. Therefore, the main purpose of this research is through a distributed information system to accelerate computing ability of a carbon foo
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2

WADA, Yoshihiko. "Ecological Footprint, Carbon Footprint and Radioactive Footprint in the Context of Building a Low Carbon Society." Journal of Life Cycle Assessment, Japan 6, no. 3 (2010): 201–8. http://dx.doi.org/10.3370/lca.6.201.

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3

ZHANG, Ruiying. "Analysis and Calculation of Tourist Carbon Footprints — A Case Study of Hebei Yesanpo Scenic Area." Chinese Journal of Urban and Environmental Studies 02, no. 01 (2014): 1450009. http://dx.doi.org/10.1142/s2345748114500092.

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The National Tourism Conference in 2010 strongly promoted the concept of energy conservation and emission reduction in the tourism industry. Since then, low carbon travel has been the new direction in tourism industry. Great concern has been put on energy conservation and emission reduction of tourism related elements, such as hotels, transportations, tourist attractions, and most importantly, the tourists themselves. The quantitative assessment of tourist carbon footprint is the key topic. This research uses Yesanpo scenic area as the example and conducts the comparison and calculation of tou
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4

Wang, Hui, Jinzhuo Wu, and Zhili Chen. "Carbon footprint accounting and low-carbon path optimization for imported timber-based wooden furniture supply chains." BioResources 16, no. 4 (2021): 6870–90. http://dx.doi.org/10.15376/biores.16.4.6870-6890.

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Using an imported timber-based solid wood box bed (2000 mm × 1800 mm) as the functional unit, the ILCD 2011 midpoint assessment method was used to measure the life cycle carbon emissions of the product. Using this assessment, the Dijkstra algorithm was adopted to determine the shortest supply chain path and to obtain the minimum carbon footprint of the supply chain. Results showed that the total carbon footprint of the wood bed was 464 kg for the control case. For experimental cases, the carbon footprint ranged from 456 kg to 517 kg CO2-eq. The upstream process was identified as the primary co
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5

Fang, Wei-Ta, Chin-Wei Huang, Jui-Yu Chou, Bai-You Cheng, and Shang-Shu Shih. "Low Carbon Footprint Routes for Bird Watching." Sustainability 7, no. 3 (2015): 3290–310. http://dx.doi.org/10.3390/su7033290.

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6

Wang, Yan, and Na Li. "The Provincial Carbon Footprint and Trade." Advanced Materials Research 524-527 (May 2012): 3514–18. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3514.

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Based on the data of provincial input-output model and the carbon footprint model, the analysis is focused on provincial carbon footprint and the space transfer of carbon emissions. The results have shown that: (1) There are significant differences of provincial total carbon footprint amounts: resource-rich provinces have high total carbon footprint amounts, followed by processing and manufacturing provinces and municipalities; Regions with high energy efficiency have low carbon footprint amounts, so does southwestern region where economic and industrial development level is relatively low. (2
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7

Dash, Dipti Shankar, Pratima Pradhan, and Rajesh Kumar. "Awareness and Practices of Carbon Footprint Reduction: A Survey among Postgraduate Students." Current Research Journal of Social Sciences and Humanities 6, no. 1 (2023): 122–31. http://dx.doi.org/10.12944/crjssh.6.1.10.

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The investigators have tried to know the awareness and practices of Postgraduate students studying in various streams of education at the University of Balasore, Odisha, India in reducing carbon footprint. In this study investigators used the stratified random sampling method to select the sample consisted of 180 students, comprising both female and male students. In the study data was collected by using Carbon footprint awareness test and Carbon footprint practices scale constructed by the investigators themselves. The findings revealed that more than half of the students had low level of car
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8

Li, Jun, and Jialiang Gan. "The Importance of Low-Carbon Landscape Design in Rural Tourism Landscape." Ecological Chemistry and Engineering S 29, no. 3 (2022): 319–32. http://dx.doi.org/10.2478/eces-2022-0023.

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Abstract The paper aims to study the importance of low-carbon landscape design based on rural tourism landscape. First of all, after sorting out and researching the relevant reviews of low-carbon landscapes, taking rural landscapes as the research object, a rural landscape planning and design framework based on the perspective of low-carbon construction is proposed. Then, Xiwuli Village is used as an example to carry out the application practice of specific strategies and the carbon emissions before and after the planning and design are calculated and compared. After the low-carbon planning an
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9

Leurent, Fabien. "From Food to Foot: The Energy and Carbon Flows of the Human Body at Walking and Cycling." Journal of Energy and Power Technology 4, no. 3 (2022): 1. http://dx.doi.org/10.21926/jept.2203025.

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The carbon footprint of motorized transport modes per unit length traveled encompasses the unit share of the vehicle lifetime emissions, that of the transport infrastructure, and those of the motor energy, considered both from “well to tank” and from “tank to wheel”. In the active modes of transport, i.e., walking and cycling, the counterpart of motor energy is human energy, which is associated with two kinds of carbon flows: the carbon footprint of food intake, – which we call the Food to Body component – and the carbon dioxide emissions of respiration – say the Body to Foot component. In thi
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10

Peng, Jun, Wenqiang Li, Yan Li, Yuanming Xie, and Zilin Xu. "Innovative product design method for low-carbon footprint based on multi-layer carbon footprint information." Journal of Cleaner Production 228 (August 2019): 729–45. http://dx.doi.org/10.1016/j.jclepro.2019.04.255.

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