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Academic literature on the topic 'Consumption footprint'

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Published: 14 March 2023

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Journal articles on the topic "Consumption footprint"

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Long, Yanling, Runzhi Hu, Tuo Yin, Pengxiang Wang, Jiamin Liu, Tahir Muhammad, Xiuzhi Chen, and Yunkai Li. "Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS." Foods 10, no. 8 (August 11, 2021): 1858. http://dx.doi.org/10.3390/foods10081858.

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Food consumption is closely associated with resource consumption and environmental sustainability. An unreasonable dietary pattern would cause great pressure or damage to resources and the environment. It is particularly important to reduce the negative impact of household food consumption on resources and the environment while simultaneously ensuring people’s nutrient intake and health. This study applied the China Health and Nutrition Survey (CHNS) database to quantitatively study the spatial-temporal analysis of multiple footprints of household food consumption at multiple scales and explored the driving mechanism of the multiple footprints. The results showed that, except land footprint (LF), the other four types of footprints all decreased at varying degrees; the water footprint (WF), carbon footprint (CF), nitrogen footprint (NF) and energy footprint (EF) decreased by 18.24%, 17.82%, 12.03% and 20.36%, respectively, from 2000 to 2011; multiple footprints of food consumption of household in Guizhou was the highest among the 12 provinces involved in the study; this shows that resource consumption (water, energy and land resource) and environmental influences (CO2 emissions and nitrogen emissions) brought by food consumption of per household in Guizhou are much greater than in other provinces, which has a negative influence on sustainable development; by analyzing the driving factors of multiple footprints, it is shown that nutrient intake, household attributes, educational level and health conditions were significantly correlated to multiple footprints. Among them, nutrient intake has greater impact on the multiple footprints of Chinese household food consumption. By comparing multiple footprints of different dietary patterns, it was found that the current Chinese dietary pattern would cause excessive resource consumption, which would bring more pressure on resources and the environment. Adjusting household living habits would possibly reverse the unsustainable situation, such as reducing the consumption of animal-derived foods and adjusting the dietary pattern of households with a higher educational level and income status. Chinese Dietary Guidelines 2016 has better sustainability; the promotion of this dietary pattern across the country would help China to relieve the pressure on resources and environment from the consumer side, promoting the realization of sustainable development.
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Lee, Yung-Jaan. "Ecological Footprint and Water Footprint of Taipei." Sustainability 11, no. 20 (October 16, 2019): 5714. http://dx.doi.org/10.3390/su11205714.

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Taiwan suffers from many natural disasters and is vulnerable to climate change. A continuous increase in its ecological footprint (EF) would pose numerous threats to the city. Taipei is Taiwan’s most densely populated city. Whether its citizens are consuming more resources because of their high income and high degree of urbanization, thereby burdening the environment, warrants study. In contrast to most top-down EF analyses, in this study, 445 residents were surveyed to calculate their carbon, built-up land and water footprints. Gender, occupation, age, education level, personal annual income and socio-economic background do not influence water footprint or EF. Moreover, an individual’s water footprint is not correlated with his or her EF. The built-up land footprint that is obtained in this bottom-up study is similar to that in Taiwan’s top-down national footprint account. However, the personal carbon footprint found herein is smaller than that in the national footprint account, because this study asked respondents’ only about consumption related to everyday activities. Since Taipei residents have a high income and high daily consumption, the water footprint herein is larger than the top-down water footprint. This bottom-up EF analysis reflects residents’ daily consumption patterns and can be used in future urban decision-making.
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Souissi, Asma, Nadhem Mtimet, Laura McCann, Ali Chebil, and Chokri Thabet. "Determinants of Food Consumption Water Footprint in the MENA Region: The Case of Tunisia." Sustainability 14, no. 3 (January 28, 2022): 1539. http://dx.doi.org/10.3390/su14031539.

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Tunisia, like most countries in the Middle East and North Africa (MENA) region, has limited renewable water resources and is classified as a water stress country. The effects of climate change are exacerbating the situation. The agricultural sector is the main consumer (80%) of blue water reserves. In this study, to better understand the factors that influence the food water footprint of Tunisian consumers, we used a multiple linear regression model (MLR) to analyze data from 4853 households. The innovation in this paper consists of integrating effects of socio-economic, demographic, and geographic trends on the food consumption water footprint into the assessment of water and food security. The model results showed that regional variations in food choices meant large differences in water footprints, as hypothesized. Residents of big cities are more likely to have a large water footprint. Significant variability in water footprints, due to different food consumption patterns and socio-demographic characteristics, was also noted. Food waste is also one of the determining factors of households with a high water footprint. This study provides a new perspective on the water footprint of food consumption using “household” level data. These dietary water footprint estimates can be used to assess potential water demand scenarios as food consumption patterns change. Analysis at the geographic and socio-demographic levels helps to inform policy makers by identifying realistic dietary changes.
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Thanh Canh, Truong, Thuy-Trang Thi Nguyen, and Anh Hoang Le. "Water footprint assessment for citizens in Ho Chi Minh city." Science and Technology Development Journal - Natural Sciences 4, no. 1 (December 21, 2020): first. http://dx.doi.org/10.32508/stdjns.v4i1.1001.

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The research conducted a survey of the water consumption in Ho Chi Minh City through the consumption of products from agriculture, industry and domestic. The research identified green water, blue water and grey water footprints in consuming products. Then personal water footprints were calculated and evaluated. The results showed that the average personal water footprint in district 3 was 1556 m3/year (77.15% for agriculture, 15.59% for industry and 7.26% for domestic), district 10 was 1587 m3/year (77.58% for agriculture, 15.17% for industry and 7.25% domestic), Nha Be district is 1681 m3/year (80.48% for agriculture, 12.97% for industry and 6.55% for domestic) and Binh Chanh district was 1744 m3/year (81.57% for agriculture, 11.88% for industry and 6.55% for domestic). In the individual components of the water footprint, water footprints in consuming agricultural products accounted for the major percentage and determined the personal water footprint. The results showed that the individual water footprints in countryside areas were higher than those in urban areas. Depending on the amount and forms of each individual's consumption, their eating habit and daily activities, and the sexes, the personal water footprints were different. The perception and behavior of individuals' water consumption also significantly influenced the overall personal water footprints.
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Guillen, Jordi, Fabrizio Natale, Natacha Carvalho, John Casey, Johann Hofherr, Jean-Noël Druon, Gianluca Fiore, Maurizio Gibin, Antonella Zanzi, and Jann Th Martinsohn. "Global seafood consumption footprint." Ambio 48, no. 2 (May 29, 2018): 111–22. http://dx.doi.org/10.1007/s13280-018-1060-9.

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Konar, Megan, and Landon Marston. "The Water Footprint of the United States." Water 12, no. 11 (November 23, 2020): 3286. http://dx.doi.org/10.3390/w12113286.

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This paper commemorates the influence of Arjen Y. Hoekstra on water footprint research of the United States. It is part of the Special Issue “In Memory of Prof. Arjen Y. Hoekstra”. Arjen Y. Hoekstra both inspired and enabled a community of scholars to work on understanding the water footprint of the United States. He did this by comprehensively establishing the terminology and methodology that serves as the foundation for water footprint research. His work on the water footprint of humanity at the global scale highlighted the key role of a few nations in the global water footprint of production, consumption, and virtual water trade. This research inspired water scholars to focus on the United States by highlighting its key role amongst world nations. Importantly, he enabled the research of many others by making water footprint estimates freely available. We review the state of the literature on water footprints of the United States, including its water footprint of production, consumption, and virtual water flows. Additionally, we highlight metrics that have been developed to assess the vulnerability, resiliency, sustainability, and equity of sub-national water footprints and domestic virtual water flows. We highlight opportunities for future research.
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Liobikienė, Genovaitė, and Jānis Brizga. "Sustainable Consumption in the Baltic States: The Carbon Footprint in the Household Sector." Sustainability 14, no. 3 (January 28, 2022): 1567. http://dx.doi.org/10.3390/su14031567.

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Sustainable consumption is one of the main aspects while implementing sustainable development goals. The main feature of sustainable consumption is the reduction of environmental impact. Thus, it is vital to understand and evaluate the environmental impact caused by consumption. In this paper, carbon footprint analyses of the Baltic States for the period of 2000–2019 were used to study sustainable consumption and pro-environmental behavior development. The results show not only how carbon footprint changes in different consumption categories (e.g., mobility, housing, food, and services), but whether it is related to changes in pro-environmental behavior as the promotion of sustainable consumption is crucial to reduce the consumption-based carbon footprint. The results from multi-regional input-output analyses show that in the Baltic States 62–71% of all the household carbon footprint is attributed to the three main consumption categories—transport, food, and housing. These categories are also responsible for 53–56% of the household expenditure. Consequently, changes in our mobility, food consumption, and housing management practices can significantly reduce the household environmental impacts. However, to minimize carbon footprints, behavioral changes are not enough; structural changes in the agro-food, housing, energy, and transport systems are also needed.
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Xu, Chang Chun, Yao Wu, Hao Jia, and Fu Chen. "Product Water Footprinting: Application with Milk Products at Brand Level." Applied Mechanics and Materials 522-524 (February 2014): 925–29. http://dx.doi.org/10.4028/www.scientific.net/amm.522-524.925.

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The production and consumption of products and services exert much pressure on hydrological cycle. Water footprint is a popular indicator quantifying both direct and indirect water use of a product or service. In this article, water footprints were calculated for three milk products, 180g Yogurt, 250mL Fluid milk and 400g Skim milk powder (SMP) at product brand (YiYi®) level. The process LCA-based water footprint method was applied using primary production data, with both volumetric and stress-weighted results reported. Water footprint values were compared among different life cycle stages and products, and possible mitigation strategies to minimize the burden on freshwater systems from consumptive water use were raised. The results demonstrated the suitability of water footprint as streamlined indicator for product sustainability management and affirmed the importance of farming stage for water footprint reduction.
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Lynch, Michael J., Michael A. Long, Paul B. Stretesky, and Kimberly L. Barrett. "Measuring the Ecological Impact of the Wealthy: Excessive Consumption, Ecological Disorganization, Green Crime, and Justice." Social Currents 6, no. 4 (May 15, 2019): 377–95. http://dx.doi.org/10.1177/2329496519847491.

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Ecological disorganization stemming from conspicuous consumption practices is understudied in the social sciences. In this analysis, we study conspicuous consumption and its implications for environmental sociology, ecological footprint analysis, and green criminology. We examine the issue of conspicuous consumption through the study of items that increase the ecological footprint considerably, that is, through the consumption of “luxury commodities.” Specifically, we draw attention to assessing aspects of ecological footprints of super yachts, super homes, luxury vehicles, and private jets. Taken together, the construction and use of these items in the United States alone is likely to create a CO2 footprint that exceeds those from entire nations. These results are not necessarily surprising but suggest that excessive consumption practices of the wealthy may need to be reinterpreted as criminal when they disrupt the normal regeneration and reproduction of ecosystems by generating excessive ecological disorganization.
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Wu, Yi Ling, Xian Zheng Gong, Yu Liu, Xiao Qing Li, Xiao Fei Tian, Hong Tao Wang, and Chang Xing Ye. "Water Footprint Evaluation of the Production of Float Flat Glass." Materials Science Forum 1035 (June 22, 2021): 1102–8. http://dx.doi.org/10.4028/www.scientific.net/msf.1035.1102.

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The ISO14046 water footprint evaluation method was used in this study to calculate the water shortage footprint and water degradation footprint in plate glass production, in order to improve the water efficiency and management level in the production process of plate glass in China. A certain enterprise in Hebei province was selected for investigation in 2018. The results show that the water shortage footprint generated by the production of flat glass was 0.435 m3H2Oeq/weight box. The proportion at raw material production stage was the largest, being 86%, so the water consumption control in raw material mining and the circulating water system should be strengthened and improved to reduce the fresh water consumption. Water degradation footprint in flat glass industry mainly consisted of eutrophication and acidification footprints. The eutrophication footprint was calculated as 0.027 kgNO3-eq/weight box, and water acidification footprint was 0.271 kgSO2eq/weight box. The largest proportion occurred at flat glass production stage. It should be paid attention at this stage, to update the relatively clean production equipments and add the waste gas processing steps to reduce pollution discharge.
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Dissertations / Theses on the topic "Consumption footprint"

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Steinegger, Tobias. "Investigating the Environmental Footprint of Swedish Household Consumption." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257861.

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Production-based indicators show that Sweden has lower emissions per capita than other high-income countries. Nevertheless, scientific evidence points to a significant overshoot of some of the planetary boundaries, especially regarding climate change, if Swedish consumption-related emissions abroad are considered. Households are one of the key drivers behind the increasing environmental deconstruction. Studies estimate that household consumption, directly and indirectly, contributes to 51-81% of these environmental footprints. Better consumption-based indicators are therefore required to directpolicy interventions if Sweden wants to achieve its Generational Goal. The Generational Goalstates that the major environmental problems in Sweden should be solved, without increasing environmental and health problems outside Sweden’s borders. This project aimed to estimate the consumption-based environmental impacts of Sweden with the most recent available data. Furthermore, it gave valuable insights into the consumption-behaviour of Swedish households. The consumption-based calculations, based on EXIOBASE 3, estimated a carbon footprint of 94 Mt CO2-eq. for Sweden in 2011, whereas the production-based GHG-emissions were 30% lower than the actual emissions caused by Swedish consumption. The Land footprint was estimated at 333 000 km2. The material footprint showed that Sweden imported twice as much material as it exported to other countries, which led to a consumption-based material footprint of 279 000 kt. The total of 2 000 Mm3 of blue water was to 94% embodied in imported products. The results proved the importance of looking at the consumption-based environmental footprints to gain an accurate picture of the national environmental impact. Data on the Swedish household expenditure were combined with environmentally extended multiregional input-output tables to estimate the environmental footprint of Swedish households — the study identified food, housing and transportation as the expenditure categories with the highest environmental impact. According to the results, the total carbon footprint for one Swedish household in 2011 was 14 t CO2-eq., the land use amounted to 32 200 m2, the extracted materials to 431 m2, and the blue water consumption to 431 m3. The combination of household expenditures and environmentally extended input-output tables create a comprehensive picture of the consumption-based emissions and give a detailed insight into the consumption behaviour of Swedish households. These insights can further be used to design more accurate policies promoting a zero-carbon society within Sweden.
Produktionsbaserade indikatorer visar att Sverige har lägre utsläpp per capita än andra höginkomstländer. Vetenskapliga bevis tyder dock på en tydlig överskridning av några av de planetära gränserna, särskilt den gällande klimatförändringar, om svenska konsumtionsrelaterade utsläpp utomlands beaktas. Hushållen är en av de viktigaste drivkrafterna bakom ökningen av hållbarhetsrelaterade problem. Studier uppskattar att hushållens konsumtion direkt och indirekt bidrar till 51–81% av deras miljöpåverkan. Bättre konsumtionsbaserade indikatorer är därför nödvändiga för att styra politiska insatser om Sverige vill uppnå sitt generationslöfte att lösa de stora miljöproblemen i Sverige utan att öka miljö- och hälsoproblemen utanför Sveriges gränser. Detta projekt syftar till att uppskatta Sveriges konsumtionsbaserade miljöpåverkan med senast tillgängliga data. Dessutom ger uppsatsen värdefull insikt i de svenska hushållens konsumtionsbeteende. De konsumtionsbaserade beräkningarna, baserade på EXIOBASE 3, uppskattade ett koldioxidavtryck på 94 Mt CO2-ekv. under 2011 för Sverige, där deproduktionsbaserade växthusgasutsläppen var 30% lägre än de faktiska utsläppen som skapades genom svensk konsumtion. Det landmässiga fotavtrycket uppskattades till 333 000 km2. Det materiella fotavtrycket visade att Sverige importerade dubbelt så mycket material som de exporterade till andra länder, vilket ledde till ett konsumtionsbaserat materialavtryck på 279 000 kt. Det mesta av det blåa vatten som är inkorporerat i produkter importerades, hela 94% av den svenska totalen på2 000 Mm3. Resultaten visar vikten av att titta på konsumtionsbaserad miljöpåverkan för att få en exakt bild av den nationella miljöpåverkan. Data gällande svenska hushållsutgifter kombinerades med miljömässigt utökade multiregionala input-output-värden för att beräkna de svenska hushållens miljöpåverkan. Studien identifierade mat, boende och transport som utgiftskategorier med högst miljöpåverkan. Enligt resultaten så var det totala koldioxidavtrycket för ett svenskt hushåll under2011 14 t CO2-eq, markanvändningen uppgick till 32 200 m2, materialutvinningen till 29 t och den blå vattenförbrukningen till 431 m3. Kombinationen av hushållsutgifter och miljömässigt utökade input-output-tabeller ger en omfattande bild av de konsumtionsbaserade utsläppen och ger en detaljerad inblick i konsumtionsbeteendet hos svenska hushåll. Dessa insikter kan vidare användas för att utforma mer exakta policyer som främjar ett noll-kol-samhälle i Sverige.
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Wei, Wenjing. "Energy Consumption and Carbon Footprint of Secondary Aluminum Cast House." Thesis, KTH, Tillämpad processmetallurgi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122081.

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Primary aluminum production brings about severe environmental burden due to its energy intensive process.  Secondary aluminum production contributes to cutting off high energy demand around 90-95% and greenhouse gas emission by remelting scraps. However, previous research indicates melting furnace’s energy efficiency in secondary plant is still very low, which is around 26-29% and more than 70% heat is lost in different way. The objective of this project is to investigate energy consumption and greenhouse gas (GHG) emission in secondary aluminum cast house through process analysis. The result offers a comprehensive overview to aid decision-maker to compare energy consumption and environmental impacts caused by different product or process. This project has been done in collaboration with SAPA Heat Transfer. This project consists of two tasks. First task is aimed to give an overview of annual energy distribution and carbon footprint of per ton aluminum slab in SAPA cast house. In order to analyze energy distribution, mass and energy conservation has been applied for calculation. Meanwhile, International standard method, life cycle assessment, has been used to evaluate greenhouse gas contribution of the whole production process. The second task intends to investigate two effects (melting furnace type, raw material type) on products’ energy consumption and carbon footprint.  Melting furnace’s effect is compared by selecting electric induction furnace and oxy-fuel furnace. On the other hand, raw material’s effect is studied by comparison of four different cast house products which have different raw material recipe. Calculation and analysis results indicates that per ton Sapa cast house aluminum slab consumes energy 3826MJ and contributes to 306kgCO2eq. green house gas. Meanwhile, comparison results show that oxy-fuel melting furnace has higher energy efficiency than electric induction furnace, however, it contributes much more GHG due to consumption of propane fuel. In addition, primary ingot has been concluded as distinct carbon footprint contribution than others contributors (i.e. fuel) for Sapa cast house’s slab.
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Wada, Yoshihiko. "The myth of sustainable development, the ecological footprint of Japanese consumption." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0015/NQ46441.pdf.

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Danielsson, Lina. "Water footprint calculationfor truck production." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-220449.

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Water is an irreplaceable resource, covering around two thirds of Earth´s surface, although only one percent is available for use. Except from households, other human activities such as agriculture and industries use water. Water use and pollution can make water unavailable to some users and places already exposed for water scarcity are especially vulnerable for such changes. Increased water use and factors such as climate change make water scarcity to a global concern and to protect the environment and humans it will be necessary to manage this problem. The concept of water footprint was introduced in 2002 as a tool to assess impact from freshwater use. Since then, many methods concerning water use and degradation have been developed and today there are several studies made on water footprint. Still, the majority of these studies only include water use. The aim of this study was to evaluate three different methods due to their ability to calculate water footprint for the production of trucks, with the qualification that the methods should consider both water use and emissions. Three methods were applied on two Volvo factories in Sweden, located in Umeå and Gothenburg. Investigations of water flows in background processes were made as a life cycle assessment in Gabi software. The water flows were thereafter assessed with the H2Oe, the Water Footprint Network and the Ecological scarcity method. The results showed that for the factory in Umeå the water footprint values were 2.62 Mm3 H2Oe, 43.08 Mm3 and 354.7 MEP per 30,000 cabins. The variation in units and values indicates that it is complicated to compare water footprints for products calculated with different methods. The study also showed that the H2Oe and the Ecological scarcity method account for the water scarcity situation. A review of the concordance with the new ISO standard for water footprint was made but none of the methods satisfies all criteria for elementary flows. Comparison between processes at the factories showed that a flocculation chemical gives a larger water footprint for the H2Oe and the Ecological scarcity method, while the water footprint for the WFN method and carbon footprint is larger for electricity. This indicates that environmental impact is considered different depending on method and that a process favorable regarding to climate change not necessarily is beneficial for environmental impact in the perspective of water use.
Vatten är en ovärderlig resurs som täcker cirka två tredjedelar av jordens yta men där endast en procent är tillgänglig för användning. Människan använder vatten till olika ändamål, förutom i hushåll används vatten bland annat inom jordbruk och industrier. Vattenanvändning och utsläpp av föroreningar kan göra vatten otillgängligt, vilket kan vara extra känsligt i de områden där människor redan lider av vattenbrist. Den ökade vattenanvändningen tillsammans med exempelvis klimatförändringar bidrar till att göra vattenbrist till en global angelägenhet och det kommer att krävas åtgärder för att skydda människor och miljö. År 2002 introducerades begreppet vattenfotavtryck som ett verktyg för att bedöma miljöpåverkan från vattenanvändning. Sedan dess har begreppet utvecklats till att inkludera många olika beräkningsmetoder men många av de befintliga studierna har uteslutit föroreningar och bara fokuserat på vattenkonsumtion. Syftet med denna rapport var att utvärdera tre olika metoder med avseende på deras förmåga att beräkna vattenfotavtryck vid produktion av lastbilar, med villkoret att metoderna ska inkludera både vattenkonsumtion och föroreningar. I studien användes tre metoder för att beräkna vattenfotavtrycket för två Volvo fabriker placerade i Umeå och Göteborg. En livscykelanalys utfördes i livscykelanalysverktyget Gabi, för att kartlägga vattenflöden från bakgrundsprocesser. Därefter värderades vattenflödena med metoderna; H2Oe, WFN och Ecological scarcity. Resultatet för fabriken i Umeå gav för respektive metod ett vattenfotavtryck motsvarande 2,62 Mm3 H2Oe, 43,08 Mm3 respektive 354,7 MEP per 30 000 lastbilshytter. Variationen i enheter och storlek tyder på att det kan vara svårt att jämföra vattenfotavtryck för produkter som beräknats med olika metoder. Studien visade att H2Oe och Ecological scarcity tar hänsyn till vattentillgängligheten i området. En granskning av metodernas överensstämmelse med den nya ISO standarden för vattenfotavtryck gjordes men ingen av metoderna i studien uppfyllde alla kriterier. Av de processer som ingår i fabrikerna visade det sig att vattenfotavtrycket för H2Oe och Ecological scarcity metoden var störst för en fällningskemikalie. För den tredje metoden och koldioxid var avtrycket störst för elektriciteten. Detta tyder på att olika metoder värderar miljöpåverkan olika samt att de processer som anses bättre ur miljösynpunkt för klimatförändringar inte nödvändigtvis behöver vara bäst vid vattenanvändning.
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Staples, Mark Douglas. "Water consumption footprint and land requirements of alternative diesel and jet fuel." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81130.

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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 101-110).
The Renewable Fuels Standard 2 (RFS2) is an important component of alternative transportation fuels policy in the United States (US). By mandating the production of alternative fuels, RFS2 attempts to address a number of imperfections in the transportation fuels market: US economic vulnerability to volatile prices; security and environmental externalities; and a lack of investment in alternatives to petroleum-derived fuels. Although RFS2 aims to reduce the climate impact of transportation fuels, the policy raises a number of additional environmental concerns, including the water and land resource requirements of alternative fuel production. These factors should be considered in order to determine the overall environmental viability of alternatives to petroleum-derived transportation fuels. Middle distillate (MD) fuels, including diesel and jet fuel, are of particular interest because they currently make up almost 30% of liquid fuel consumption in the US, and alternative MD fuels could potentially satisfy 21 of the 36 billion gallons of renewable fuels mandated by RFS2 in 2022. This thesis quantifies the lifecycle blue (surface and ground) water consumption footprint of MD from conventional crude oil; Fischer-Tropsch (FT) MD from natural gas and coal; fermentation and advanced fermentation (AF) MD from biomass; and hydroprocessed esters and fatty acids (HEFA) MD and biodiesel from oilseed crops, in the US. FT and rainfed biomass-derived MD have lifecycle blue water consumption footprints between 1.4 and 18.1 lwater/lMD, comparable to conventional MD, between 4.1 and 7.5 lwater/lMD. Irrigated biomass-derived MD has a lifecycle blue water consumption footprint potentially several orders of magnitude larger, between 2.5 and 5300 lwater/lMD. Results are geospatially disaggregated, and the trade-offs between blue water consumption footprint and areal MD productivity, between 490 and 3710 lMD/ha, are quantified under assumptions of rainfed and irrigated biomass cultivation.
by Mark Douglas Staples.
S.M.in Technology and Policy
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Asplund, Mikael, Anton Thomasson, Alonso Ekhiotz Jon Vergara, and Simin Nadjm-Tehrani. "Software-related Energy Footprint of a Wireless Broadband Module." Linköpings universitet, RTSLAB - Laboratoriet för realtidssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69745.

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Energy economy in mobile devices is becoming an increasinglyimportant factor as the devices become more advancedand rich in features. A large part of the energy footprint of amobile device comes from the wireless communication module,and even more so as the amount of trac increases.In this paper we study the energy footprint of a mobilebroadband hardware module, and how it is aected by software,by performing systematic power consumption measurements.We show that there are several cases where thesoftware does not properly take into account the eect thatdata communication has on the power consumption. Thisopens up for potential energy savings by creating better applicationsthat are aware of the energy characteristics of thecommunication layer.
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Yampolsky, Vincent. "An evaluation of the power consumption and carbon footprint of a cloud infrastructure." Thesis, Edinburgh Napier University, 2010. http://researchrepository.napier.ac.uk/Output/3973.

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The Information and Communication Technology (ICT) sector represent two to three percentsof the world energy consumption and about the same percentage of GreenHouse Gas(GHG) emission. Moreover the IT-related costs represent fifty per-cents of the electricity billof a company. In January 2010 the Green Touch consortium composed of sixteen leading companies and laboratories in the IT field led by Bell's lab and Alcatel-Lucent have announced that in five years the Internet could require a thousand times less energy than it requires now. Furthermore Edinburgh Napier University is committed to reduce its carbon footprint by 25% on the 2007/8 to 2012/13 period (Edinburgh Napier University Sustainability Office, 2009) and one of the objectives is to deploy innovative C&IT solutions. Therefore there is a general interest to reduce the electrical cost of the IT infrastructure, usually led by environmental concerns. One of the most prominent technologies when Green IT is discussed is Cloud Computing (Stephen Ruth, 2009). This technology allows the on-demand self service provisioning by making resources available as a service. Its elasticity allows the automatic scaling of thedemand and hardware consolidation thanks to virtualization. Therefore an increasing number of companies are moving their resources into a cloud managed by themselves or a third party. However this is known to reduce the electricity bill of a company if the cloud is managed by a third-party off-premise but this does not say to which extent is the powerconsumption is reduced. Indeed the processing resources seem to be just located somewhere else. Moreover hardware consolidation suggest that power saving is achieved only during off-peak time (Xiaobo Fan et al, 2007). Furthermore the cost of the network is never mentioned when cloud is referred as power saving and this cost might not be negligible. Indeed the network might need upgrades because what was being done locally is done remotely with cloud computing. In the same way cloud computing is supposed to enhance the capabilities of mobile devices but the impact of cloud communication on their autonomy is mentioned anywhere. Experimentations have been performed in order to evaluate the power consumption of an infrastructure relying on a cloud used for desktop virtualization and also to measure the cost of the same infrastructure without a cloud. The overall infrastructure have been split in different elements respectively the cloud infrastructure, the network infrastructure and enddevices and the power consumption of each element have been monitored separately. The experimentation have considered different severs, network equipment (switches, wireless access-points, router) and end-devices (desktops Iphone, Ipad and Sony-Ericsson Xperia running Android). The experiments have also measured the impact of a cloud communication on the battery of mobile devices. The evaluation have considered different deployment sizes and estimated the carbon emission of the technologies tested. The cloud infrastructure happened to be power saving and not only during off-peak time from a deployment size large enough (approximately 20 computers) for the same processing power. The power saving is large enough for wide deployment (500 computers) that it could overcome the cost of a network upgrade to a Gigabit access infrastructure and still reduce the carbon emission by 4 tonnes or 43.97% over a year and on Napier campuses compared to traditional deployment with a Fast-Ethernet access-network. However the impact of cloud communication on mobile-devices is important and has increase the power consumption by 57% to 169%.
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Irwin, Amanda. "Consumption-based accounting of biodiversity loss." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29445.

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Biodiversity is critical to life on earth, yet projections show that loss of biodiversity, specifically the increase in species extinction risk, is likely to continue without significant intervention. Human activity is a key driver of this loss, with local, direct activity often induced by geographically distant consumption of goods and services. In order to reduce biodiversity loss, we need first to quantify it, then identify key actors implicated in the loss and finally, develop interventions which can successfully halt that loss. This work presents a methodology for consumption-based accounting of biodiversity loss by first introducing the ‘extinction-risk footprint’ and then demonstrating its application on three different scales. Leveraging both the power of input-output analysis and the comprehensive data curated in the International Union for Conservation of Nature’s Red List of Threatened Species, this extinction-risk footprint provides insights into the key locations and sectors of consumption which drive species extinction risk, facilitating the identification of interventions which can reduce this risk. The extinction-risk footprint introduced within this thesis, then applied in three different contexts, enables the assessment of biodiversity loss using the same methodology as that used to assess more mainstream environmental indicators such as carbon emissions. At a time when the post-2020 Global Biodiversity Framework is under development, the insights that this consumption-based accounting provides could be an important advance in supporting global conservation efforts.
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Nyambo, Patrick. "Water footprint of growing vegetables in selected smallholder irrigation schemes in South Africa." Thesis, University of Fort Hare, 2014. http://hdl.handle.net/10353/d1019775.

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Knowledge of water use, through water foot printing (WF) in smallholder agriculture crop production is the key to the global fight against poverty, achievement of food security and sustainability within the world’s rural community. Water footprint of a crop can be defined as the volume of fresh water used to produce a certain crop in all the steps in the production line. This study, therefore aimed at contributing towards improvements in rural livelihoods by raising awareness of the increased productive use of green, blue and grey water in smallholder agriculture in South Africa. This was done through determination of water footprints of five vegetable crops, i.e. potatoes (Solanum tuberosum), tomatoes (Solanum lycopersicum), dry beans (Phaseolus vulgaris), cabbage (Brassica oleracea spp) and spinach (Spinacia oleracea) in the 2000-2013 period. Quantification of water footprints has been done worldwide but, in South Africa (SA) focus has mostly been on the industrial and domestic sector. Water footprint assessment framework, was used to estimate the full impact of vegetable production on water resources at Zanyokwe, Thabina and Tugela Ferry irrigation schemes as case studies. The CROPWAT@ model was used to calculate crop evapotranspiration, differentiating green and blue water. Local climatic data were obtained from SA weather services, while the crop and soil parameters were obtained from the FAO data base. Nitrogen was considered the main pollutant hence its use in the grey water footprint calculation. Generally, Thabina irrigation scheme had the highest water footprint, followed by Tugela Ferry irrigation scheme whilst Zanyokwe irrigation scheme had the lowest. Green beans had the highest water footprint at all the three irrigation schemes with Thabina irrigation scheme having the highest (3535.1 m3/ton). For Tugela Ferry irrigation scheme, the calculated WF was 2753 m3/ton whilst the lowest was observed at ZIS i.e. 2407.6 m3/ton. Cabbage had the lowest water footprint. The highest water footprint for growing cabbage was 254.5 m3/ton in TFIS, 223.1 m3/ton in TIS and the lowest was 217.8 m3/ton in ZIS. The differences observed in the WF of a crop at each scheme maybe attributed to the differences management, weather and environmental characteristics, in the three locations. Moreover, the needs for ET are related to soil type and plant growth, and primarily depend on crop development and climatic factors which are closely related to climatic demands. The grey water footprint was calculated using the recommended fertilizer application rates for all the three sites. Green beans had the highest WFgrey i.e. 373 m3/ton and the lowest was cabbage with 37 m3/ton. Potato, spinach and tomatoes had 156 m3/ton, 214 m3/ton and 132 m3/ton, respectively. Grey water footprint in this study was higher as compared to other studies, possibly because of the high rates of nitrogen fertilizers used in the calculations and the low yields farmers get. Compared with estimates from other studies, the water footprints of vegetable production within smallholder irrigation schemes was relatively high. There is therefore, a need to focus on crop management and tillage practices that will help in increasing yield while minimizing water usage.
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Pongsakornrungsilp, Pimlapas. "Energy consumption and the ecological footprint of tourism in an island destination : the case of Koh Samui, Thailand." Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/3247.

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This thesis aims to apply the concept of the Ecological Footprint (EF) to examine the impact that the tourism industry has on the environment through energy consumption and also investigates patterns of energy-consuming behaviour among tourists and tourism businesses. EF is becoming an increasingly popular analytical tool in tourism studies. However, at present most attention has fallen on its value for studying tourism in international level. Moreover, very few studies have taken account of the influence of social factors when making EF calculations linked to tourism. As a consequence of these biases, there is currently a need for studies of tourism which take account of EFs at the destination level and how the behaviour of tourists and tourism businesses affects energy consumption at holiday destinations. This study addresses this gap by investigating the EF of energy-consuming behaviour linked to tourists and tourism businesses at a particular holiday destination, namely Koh Samui in Thailand, and also by exploring the factors which influence this kind of behaviour. The findings of this study show that most tourists rely on modes of transport which release high levels of CO2 (especially long haul flights). In the case of Thailand, a majority of tourists fly from Bangkok to Koh Samui and then use private cars to get around the island. Energy intensive electrical appliances such as air conditioning and tankless hot water heaters were widely used in accommodation, while beach activities, which generally have a low carbon footprint, attracted the largest numbers of tourists. It was also found that demographic factors, including travel behaviour and concern for the environment, influenced these kinds of behaviour in various ways. As regards different types of tourism business, in the accommodation sector hotels used the largest quantities of electricity while tour operators used more diesel and petrol than any other type of tourism business. Furthermore, it was also found that even though respondents who stayed in five-star hotels expressed the greatest level of concern for climate change, they still considered their own convenience and satisfaction to be their highest priorities. Tourism on Koh Samui consumed about 54.55 PJ of energy in 2007 and thus needed 3.41 gha of forest land to absorb the resulting CO2 emissions. Given that this figure exceeds the current world-average biocapacity of 1.8 gha, it can be stated that tourism on Koh Samui is currently unsustainable. This study highlights the relationship between the EF of tourism at a particular holiday destination and the energy-consuming behaviour of both tourists and tourism businesses. In this way, it is shown here that excessive energy consumption combined with a lack of effective energy management in the business sector can lead to the development of an unsustainable EF. In response to this finding, practitioners and policy-makers should consider ways of mitigating EFs linked to tourism.
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Books on the topic "Consumption footprint"

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Food wastage footprint full-cost accounting: Final report. Rome: Food Wastage Footprint, 2014.

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The pocket idiot's guide to your carbon footprint. New York, N.Y: Alpha, 2008.

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Masanet, Eric. Assessment of household carbon footprint reduction potentials: PIER final project report. Sacramento, Calif.]: California Energy Commission, 2009.

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Pernigotti, Daniele. Carbon footprint: Calcolare e comunicare l'impatto dei prodotti sul clima. Milano: Ambiente, 2011.

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J, Brinsky William, and Leitman Seth, eds. Green lighting: How energy-efficient lighting can save you energy and money and reduce your carbon footprint. New York: McGraw-Hill, 2011.

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Kirk, Ellen. Human footprint: Everything you will eat, use, wear, buy, and throw out in your lifetime. Washington, D.C: National Geographic, 2010.

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Wang, Xu. Energy Consumption, Chemical Use and Carbon Footprints of Wastewater Treatment Alternatives. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-5983-5.

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Inc, Energetics, and United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy. Office of Industrial Technologies., eds. U.S. manufacturing and mining energy footprints. Washington, D.C: Office of Industrial Technology Programs, Energy Efficiency and Renewable Energy, U.S. Dept. of Energy, 2004.

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Conan, Doyle Arthur. The Classic Illustrated Sherlock Holmes: Thirty Seven Short Stories Plus a Complete Novel. Stamford, CT, USA: Longmeadow Press, 1987.

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Conan, Doyle Arthur. Sherlock Holmes: The Complete Illustrated Short Stories. London: Chancellor Press, 1994.

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Book chapters on the topic "Consumption footprint"

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Kenner, Dario. "The carbon footprint of luxury consumption." In Carbon Inequality, 12–24. Abingdon, Oxon; New York, NY: Routledge, 2020. | Series: Routledge focus on environment and sustainability: Routledge, 2019. http://dx.doi.org/10.4324/9781351171328-2.

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Besseau, Romain, Milien Dhorne, Paula Pérez-López, and Isabelle Blanc. "Accounting for the Temporal Fluctuation of Wind Power Production When Assessing Their Environmental Impacts with LCA: Combining Wind Power with Power-to-Gas in Denmark." In Towards a Sustainable Future - Life Cycle Management, 87–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77127-0_8.

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AbstractWorldwide wind power capacity is increasing, while the environmental footprint and economic cost of energy produced decrease. However, wind power generation is weather-dependent. At a high penetration rate, storage systems such as power-to-gas may become necessary to adjust electricity production to consumption. This research work presents the environmental life cycle performance of wind power accounting for the energy storage induced by the temporal variability of weather-dependent production and consumption. A case study in which wind power installations are combined with a power-to-gas system in Denmark to provide electricity according to the national load consumption profile was considered. Results highlight an increase, roughly by a factor 2, of the carbon footprint coming from both energy storage infrastructure and induced losses, but remain significantly, at least ten times, lower than fossil counterparts.
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Younos, Tamim, Katherine O’Neill, and Ashley McAvoy. "Carbon Footprint of Water Consumption in Urban Environments: Mitigation Strategies." In The Handbook of Environmental Chemistry, 33–56. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29337-0_2.

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Calabuig-Moreno, Raimon, Rafael Temes-Cordovez, and Javier Orozco-Messana. "Neighbourhood Digital Modelling of Energy Consumption for Carbon Footprint Assessment." In Sustainability in Energy and Buildings 2021, 541–51. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6269-0_45.

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Hoekstra, Arjen Y. "The Water Footprint: The Relation Between Human Consumption and Water Use." In The Water We Eat, 35–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16393-2_3.

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Kusch-Brandt, Sigrid. "Material Footprint: Understanding Resource Efficiency by Considering Actual Raw Material Consumption." In Encyclopedia of the UN Sustainable Development Goals, 1–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-71062-4_85-1.

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Kusch-Brandt, Sigrid. "Material Footprint: Understanding Resource Efficiency by Considering Actual Raw Material Consumption." In Encyclopedia of the UN Sustainable Development Goals, 476–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-95726-5_85.

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Adalı, Zafer, and Mir Sayed Shah Danish. "Investigation of the Nexus Between the Electricity Consumption and the Ecological Footprint." In Circular Economy and the Energy Market, 79–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13146-2_7.

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Song, Yu-chen, Jing Zhang, Hai-dong Meng, and Zhen-hua Yang. "Carbon Footprint Research of Manufacturing Energy Consumption in Shanxi, Shaanxi and Inner Mongolia." In Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 565–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40063-6_56.

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Nallaperuma, Bhagya, Zih-Ee Lin, Jithya Wijesinghe, Amila Abeynayaka, Safa Rachid, and Selim Karkour. "Sustainable Water Consumption in Building Industry: A Review Focusing on Building Water Footprint." In Lecture Notes in Civil Engineering, 799–810. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2886-4_56.

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Conference papers on the topic "Consumption footprint"

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Zhang, Jiucai, Song Ci, and Xueyi Wang. "Battery energy consumption footprint of embedded multimedia systems." In 2010 International Conference on Green Computing (Green Comp). IEEE, 2010. http://dx.doi.org/10.1109/greencomp.2010.5598264.

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Catalina, Tiberiu, Joseph Virgone, and Eric Blanco. "Carbon Footprint Study of a Zero Energy Consumption Building." In ISES Solar World Congress 2011. Freiburg, Germany: International Solar Energy Society, 2011. http://dx.doi.org/10.18086/swc.2011.13.04.

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Fadhlillah, M. Luthfan Awwal, Hiromi Tokuda, and Ellin Harlia. "West Java’s Rice Consumption Ecological Footprint: the Past and Now." In Proceedings of the Achieving and Sustaining SDGs 2018 Conference: Harnessing the Power of Frontier Technology to Achieve the Sustainable Development Goals (ASSDG 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/assdg-18.2019.9.

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Rodrigues, Clarence C., Jeyalal Jeyaseelan, and Sreeja Unnithan. "A Carbon Footprint Management Program for Resource Consumption Cost Reduction." In Middle East Health, Safety, Security, and Environment Conference and Exhibition. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/136650-ms.

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Mediouni, Nejib, and Salem Hasnaoui. "Phosphorus: An ultra low footprint and energy consumption 3D NoC architecture." In 2017 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC). IEEE, 2017. http://dx.doi.org/10.1109/iintec.2017.8325926.

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Volkova, Tcvetana. "CALCULATION OF WATER FOOTPRINT CONSUMPTION FOR DETERMINING IMPACT ON WATER RESOURCES." In 14th SGEM GeoConference on WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b31/s12.014.

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Le, Kien, Ozlem Bilgir, Ricardo Bianchini, Margaret Martonosi, and Thu D. Nguyen. "Managing the cost, energy consumption, and carbon footprint of internet services." In the ACM SIGMETRICS international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1811039.1811085.

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Caudill, Reggie J., Sun Olapiriyakul, and Brian Seale. "An exergy footprint metric normalized to US exergy consumption per capita." In 2010 IEEE International Symposium on Sustainable Systems and Technology (ISSST). IEEE, 2010. http://dx.doi.org/10.1109/issst.2010.5507746.

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Ferrari, Flavio, Riccardo Naselli, Paolo Brunetti, Jean Michelez, and Edoardo Zini. "Digitalization for Reducing Carbon Footprint in Drilling Operations." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207407-ms.

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Abstract Objectives/Scope Drilling activities are energy intensive, in order to support, for example, heavy loads, high volumes circulation, and high torque equipment. As of today, this energy is mainly provided by diesel generators consuming tons of fuel every day. Hence, drilling activities are a significant producer of greenhouse gases (GHG) in the upstream industry, therefore drawing attention on the potential for emissions reduction. There are two ways for reducing emissions: changing the source of energy, and reducing the consumption. This paper is focusing on the latter, addressing the potential for GHG reduction thanks digitalization of the rig operations. Methods, Procedures, Process The process is structured in two phases: Phase 1 - data monitoring Rig operations provide different data sources from rig sensors and daily reporting. The digitalization process in place in Saipem is gathering and consolidating these data on rig site and in headquarters in real time. On one hand, dedicated algorithms are applied to identify the rig state (type of ongoing operation) every 5 seconds. On the other hand, engines’ consumptions data are provided either through reporting or from engines monitoring systems (where available). All these data are then consolidated and displayed on interactive dashboards, providing insightful information on fuel efficiency and energy consumption by type of operations for each rig. Phase 2 - consumption optimization By analysing the power needs according to a given environment (eg. depth) and operational conditions (eg. tripping) the system provides the best statistical performance recorded from the rig fleet and set it as a target for low emission operations. Then the operators on the rig have clear instructions on how to utilize their diesel generators to ensure both operational safety and emissions reduction. In addition, the use of the engines at an optimal level supports also availability (less failures) and maintainability (longer lifetime). Results, Observations, Conclusions The system in place has produced valuable results in less than 6 months, by offering a clear visibility on the most consuming activities and the definition of best-in-class energy-efficient operations. These instructions are distributed among the rigs, and the operators can proactively optimize the use of their engines according to the upcoming activities and the operating environment. GHG emissions are constantly monitored and reductions have been recorded on a monthly basis. Novel/Additive Information Considering that the cleaner energy is the one that is not consumed, this digitalization process of rig sensor data and operation reporting offers an unprecedented vision of the activities and their related GHG emissions. A cautious analysis of these data provides practical indicators for the most efficient use of diesel generators. This proactive energy management supports operators and contractors in delivering a proactive sustainability strategy with measurable results.
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Young, Raymond, and Manou Kashani. "Carbon Footprint Minimization for Deepwater Pipelay Construction." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31105-ms.

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Abstract With recent oil and gas discoveries in deepwater offshore, these regions have become the hotspots for oil and gas exploration. It is for this reason that major pipelay contractors are developing more advanced construction vessels with high lay tension capacity, payload and high specification dynamic positioning (DP) systems to operate at even deeper water depths. It is shown that at water depths of greater than 1000 m, one of the major construction costs is fuel consumption, which is directly related to the level of thrust and hold back tension the laybarge is required to maintain during pipelay operations. Furthermore, the fuel consumption and the resulting carbon footprint, is shown to increase disproportionally as the laybarge thrust increases at deeper water depths. For example, a deepwater laybarge (DP3 class) with a typical operating power of 40MWe can consume 130 metric tonnes of diesel fuel per day (1.5 kg/s) with carbon dioxide equivalent emissions (CO2e) of 3,200 kg per tonne of fuel. This is a substantial measure of emissions, typical of a pipelay vessel during pipe lay operations. It is for this reason that American and European air pollutant emission inventory guidelines expect environmental impact documents for all marine activities, including construction, to be calculated and submitted to relevant environmental protection agencies. By comparison, a typical car will produce around 4,600 kg of CO2e per year. Currently, deepwater pipeline engineering and design is based on relevant offshore design codes and standards, e.g. DNV-GL and API. Within the framework of those codes and standards, a design approach is presented within this paper that shows that, by properly combining pipe strength and stiffness characteristics with pipelay construction loads, a unique bending strain limit can be defined that would lead to the most economical solution that minimizes the vessel thrust and thereby radically reduce fuel consumption and associated CO2e emissions during pipelay activities. This unique design approach would be of interest to operators, pipe manufacturers as well as the pipelay contractors. Because of the construction economy and the minimizing of the carbon footprint, this approach is an attractive design method to all concerned parties, including environmental protection agencies. Since the design approach promotes higher steel grades, it would be very much in the interest of pipe mills to further develop and elevate the use of higher steel grades higher than the present widely used API 5L, X-65. Pipelay contractors will benefit by installing pipe with lower levels of thruster power, resulting in safer and a more reliable station keeping and, most significantly, a lower fuel consumption.
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Reports on the topic "Consumption footprint"

1

Gore, Tim. Carbon Inequality in 2030: Per capita consumption emissions and the 1.5⁰C goal. Institute for European Environmental Policy, Oxfam, November 2021. http://dx.doi.org/10.21201/2021.8274.

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The world’s richest 1% are set to have per capita consumption emissions in 2030 that are still 30 times higher than the global per capita level compatible with the 1.5⁰C goal of the Paris Agreement, while the footprints of the poorest half of the world population are set to remain several times below that level. By 2030, the richest 1% are on course for an even greater share of total global emissions than when the Paris Agreement was signed. Tackling extreme inequality and targeting the excessive emissions linked to the consumption and investments of the world’s richest people is vital to keeping the 1.5⁰C Paris goal alive.
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