Reducing the Carbon Footprint of Academic Conferences by Online Participation: The Case of the 2020 Virtual European Consortium for Political Research General Conference

2021 ◽  
pp. 1-6
Author(s):  
Sebastian Jäckle
Keyword(s):  
Greenhouse Gases ◽  
Carbon Footprint ◽  
Hypothetical Case ◽  
Political Research ◽  
Academic Conference ◽  
European Political Science ◽  
Science Conference ◽  
Reduce Emissions ◽  
Virtual Conference ◽  
The Impact

ABSTRACT This article investigates the impact that the decision to switch an academic conference to an online event had on its carbon footprint. Using the example of the biggest European Political Science conference, the European Consortium for Political Research General Conference, it comprehensively estimates the amount of greenhouse gases produced by the virtual event and by the hypothetical case, if the event had taken place physically, including emissions from electricity usage, travel, heating, and catering. The carbon footprint of the virtual conference turned out to be between at least 97 and 200 times smaller than it would have been if the meeting had taken place in person. Hybrid conferences, particularly if those participants from far away join the event online, combined with the promotion of land-bound travel for those attending in person—even if this means longer travel times than flying—could be a feasible compromise to reduce emissions by almost 90%.

scholarly journals The Carbon Footprint of Travelling to International Academic Conferences and Options to Minimise It

2022 ◽  
pp. 19-52
Author(s):  
Sebastian Jäckle
Keyword(s):  
Greenhouse Gases ◽  
Political Science ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Round Trip ◽  
Online Participation ◽  
Political Research ◽  
Academic Conferences

AbstractThis chapter focuses on the carbon footprint of travelling to academic conferences. The cases I present are the last seven General Conferences of the European Consortium for Political Research (ECPR), which are the biggest European conferences in political science, with up to 2000 participants. My estimations show that the travel-induced carbon footprint of a single conference can amount to more than 2000 tons of greenhouse gases—as much as approximately 270 UK citizens emit in a whole year. The average participant produces between 500 and 1500 kg of CO2-eq per conference round-trip. However, by applying three measures (more centrally located conference venues, the promotion of more land-bound travel and the introduction of online participation for attendees from distant locations), the carbon footprint could be reduced by 78–97 per cent. In 2020, the COVID-19 pandemic caused a general shift towards online conferences—the ECPR switched to a virtual event as well. Estimating the carbon footprint of this online-only conference in a more detailed manner shows that the travel-induced carbon emissions—if the event had taken place in physical attendance as originally intended—would have been between 250 and 530 times higher than those from the online conference.

Are e-learning Webinars the future of medical education? An exploratory study of a disruptive innovation in the COVID-19 era

2020 ◽  
pp. 1-10
Author(s):  
Colin J. McMahon ◽  
Justin T. Tretter ◽  
Theresa Faulkner ◽  
R. Krishna Kumar ◽  
Andrew N. Redington ◽  
...  
Keyword(s):  
Deep Learning ◽  
Carbon Footprint ◽  
Quantitative Research ◽  
Survey Design ◽  
Hybrid Approach ◽  
Disruptive Innovation ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
E Learning ◽  
The Impact

Abstract Objective: This study investigated the impact of the Webinar on deep human learning of CHD. Materials and methods: This cross-sectional survey design study used an open and closed-ended questionnaire to assess the impact of the Webinar on deep learning of topical areas within the management of the post-operative tetralogy of Fallot patients. This was a quantitative research methodology using descriptive statistical analyses with a sequential explanatory design. Results: One thousand-three-hundred and seventy-four participants from 100 countries on 6 continents joined the Webinar, 557 (40%) of whom completed the questionnaire. Over 70% of participants reported that they “agreed” or “strongly agreed” that the Webinar format promoted deep learning for each of the topics compared to other standard learning methods (textbook and journal learning). Two-thirds expressed a preference for attending a Webinar rather than an international conference. Over 80% of participants highlighted significant barriers to attending conferences including cost (79%), distance to travel (49%), time commitment (51%), and family commitments (35%). Strengths of the Webinar included expertise, concise high-quality presentations often discussing contentious issues, and the platform quality. The main weakness was a limited time for questions. Just over 53% expressed a concern for the carbon footprint involved in attending conferences and preferred to attend a Webinar. Conclusion: E-learning Webinars represent a disruptive innovation, which promotes deep learning, greater multidisciplinary participation, and greater attendee satisfaction with fewer barriers to participation. Although Webinars will never fully replace conferences, a hybrid approach may reduce the need for conferencing, reduce carbon footprint. and promote a “sustainable academia”.

Evaluation the effect of the ambient temperature on the liquid petroleum gas transportation pipeline

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ammar Ali Abd ◽  
Samah Zaki Naji ◽  
Ching Thian Tye ◽  
Mohd Roslee Othman
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gases ◽  
Ambient Temperature ◽  
Phase Change ◽  
Liquid State ◽  
Pump Energy ◽  
Compressible Liquid ◽  
Liquefied Petroleum Gas ◽  
Efficient Design ◽  
The Impact

Abstract Liquefied petroleum gas (LPG) plays a major role in worldwide energy consumption as a clean source of energy with low greenhouse gases emission. LPG transportation is exhibited through networks of pipelines, maritime, and tracks. LPG transmission using pipeline is environmentally friendly owing to the low greenhouse gases emission and low energy requirements. This work is a comprehensive evaluation of transportation petroleum gas in liquid state and compressible liquid state concerning LPG density, temperature and pressure, flow velocity, and pump energy consumption under the impact of different ambient temperatures. Inevitably, the pipeline surface exchanges heat between LPG and surrounding soil owing to the temperature difference and change in elevation. To prevent phase change, it is important to pay attention for several parameters such as ambient temperature, thermal conductivity of pipeline materials, soil type, and change in elevation for safe, reliable, and economic transportation. Transporting LPG at high pressure requests smaller pipeline size and consumes less energy for pumps due to its higher density. Also, LPG transportation under moderate or low pressure is more likely exposed to phase change, thus more thermal insulation and pressure boosting stations required to maintain the phase envelope. The models developed in this work aim to advance the existing knowledge and serve as a guide for efficient design by underling the importance of the mentioned parameters.

scholarly journals The Tapio Decoupling Principle and Key Strategies for Changing Factors of Chinese Urban Carbon Footprint Based on Cloud Computing

2021 ◽  
Vol 18 (4) ◽  
pp. 2101
Author(s):  
Min Shang ◽  
Ji Luo
Keyword(s):  
Economic Growth ◽  
Cloud Computing ◽  
Carbon Footprint ◽  
Driving Factors ◽  
City Size ◽  
Series Data ◽  
Marginal Effect ◽  
Low Carbon ◽  
The Impact ◽  
Xi’An City

The expansion of Xi’an City has caused the consumption of energy and land resources, leading to serious environmental pollution problems. For this purpose, this study was carried out to measure the carbon carrying capacity, net carbon footprint and net carbon footprint pressure index of Xi’an City, and to characterize the carbon sequestration capacity of Xi’an ecosystem, thereby laying a foundation for developing comprehensive and reasonable low-carbon development measures. This study expects to provide a reference for China to develop a low-carbon economy through Tapio decoupling principle. The decoupling relationship between CO2 and driving factors was explored through Tapio decoupling model. The time-series data was used to calculate the carbon footprint. The auto-encoder in deep learning technology was combined with the parallel algorithm in cloud computing. A general multilayer perceptron neural network realized by a parallel BP learning algorithm was proposed based on Map-Reduce on a cloud computing cluster. A partial least squares (PLS) regression model was constructed to analyze driving factors. The results show that in terms of city size, the variable importance in projection (VIP) output of the urbanization rate has a strong inhibitory effect on carbon footprint growth, and the VIP value of permanent population ranks the last; in terms of economic development, the impact of fixed asset investment and added value of the secondary industry on carbon footprint ranks third and fourth. As a result, the marginal effect of carbon footprint is greater than that of economic growth after economic growth reaches a certain stage, revealing that the driving forces and mechanisms can promote the growth of urban space.

scholarly journals Decarbonization of Residential Building Energy Supply: Impact of Cogeneration System Performance on Energy, Environment, and Economics

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2538
Author(s):  
Praveen K. Cheekatamarla
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Energy Consumption ◽  
Carbon Footprint ◽  
Residential Buildings ◽  
Building Energy ◽  
Primary Energy ◽  
Primary Energy Consumption ◽  
Cogeneration System ◽  
The Impact

Electrical and thermal loads of residential buildings present a unique opportunity for onsite power generation, and concomitant thermal energy generation, storage, and utilization, to decrease primary energy consumption and carbon dioxide intensity. This approach also improves resiliency and ability to address peak load burden effectively. Demand response programs and grid-interactive buildings are also essential to meet the energy needs of the 21st century while addressing climate impact. Given the significance of the scale of building energy consumption, this study investigates how cogeneration systems influence the primary energy consumption and carbon footprint in residential buildings. The impact of onsite power generation capacity, its electrical and thermal efficiency, and its cost, on total primary energy consumption, equivalent carbon dioxide emissions, operating expenditure, and, most importantly, thermal and electrical energy balance, is presented. The conditions at which a cogeneration approach loses its advantage as an energy efficient residential resource are identified as a function of electrical grid’s carbon footprint and primary energy efficiency. Compared to a heat pump heating system with a coefficient of performance (COP) of three, a 0.5 kW cogeneration system with 40% electrical efficiency is shown to lose its environmental benefit if the electrical grid’s carbon dioxide intensity falls below 0.4 kg CO2 per kWh electricity.

scholarly journals Quantifying the Impact of Production Globalization through Application of the Life Cycle Inventory Methodology and Its Influence on Decision Making in Industry

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1271
Author(s):  
Humberto. J. Prado-Galiñanes ◽  
Rosario Domingo
Keyword(s):  
Decision Making ◽  
Carbon Footprint ◽  
Chain Model ◽  
Fundamental Factor ◽  
Supply Chain Model ◽  
The Social ◽  
The Impact ◽  
A Company ◽  
Key Parameter ◽  
Do So

Industries are nowadays not only expected to produce goods and provide services, but also to do this sustainably. What qualifies a company as sustainable implies that its activities must be defined according to the social and ecological responsibilities that are meant to protect the society and the environment in which they operate. From now on, it will be necessary to consider and measure the impact of industrial activities on the environment, and to do so, one key parameter is the carbon footprint. This paper demonstrates the utility of the LCI as a tool for immediate application in industries. Its application shall facilitate decision making in industries while choosing amongst different scenarios to industrialize a certain product with the lowest environmental impact possible. To achieve this, the carbon footprint of a given product was calculated by applying the LCI method to several scenarios that differed from each other only in the supply-chain model. As a result of this LCI calculation, the impact of the globalization of a good’s production was quantified not only financially, but also environmentally. Finally, it was concluded that the LCI/LCA methodology can be considered as a fundamental factor in the new decision-making strategy that sustainable companies must implement while deciding on the business and industrial plan for their new products and services.

Reducing transportation emissions

2016 ◽  
Vol 23 (3) ◽  
pp. 674-703 ◽  
Author(s):  
Henrik Pålsson ◽  
Ola Johansson
Keyword(s):  
Service Providers ◽  
Freight Transportation ◽  
Industrial Sector ◽  
Content Type ◽  
Logistics Service Providers ◽  
Minor Influence ◽  
Transportation Emissions ◽  
Reduce Emissions ◽  
The Impact ◽  
Practical Implications

Purpose – The purpose of this paper is to examine the intention of companies to reduce transportation emissions by 2020 and the barriers and the discriminating factors that affect the reduction. Design/methodology/approach – A literature review identified potential logistical and technical actions and their barriers, and discriminating factors for reducing transportation emissions. A survey of freight transport-intensive industries in Sweden examined the effects of, intention for implementation of and barriers to 12 actions to reduce CO2 emissions from freight transportation. In total, 172 logistics managers responded, representing a response rate of 40.3 per cent. Findings – Logistics service providers (LSPs) and freight owners are likely to reduce a considerable amount of CO2 emissions from freight transportation by 2020 using a combination of actions. The lowest level of confidence was for reducing CO2 emissions by changing logistics structures, while there was greater confidence by means of operational changes. The actions have few barriers, but there is often a combination of barriers to overcome. Three discriminating factors influence the intention of a firm to reduce transportation emissions: perceived potential, company size and LSP/freight owner. The industrial sector of a freight owner has minor influence. Companies that are particularly likely to reduce emissions are LSPs, large companies, and those that perceive a large reduction potential. Research limitations/implications – Logistical and technical barriers appear to hinder companies from implementing actions, while organisational barriers and external prerequisites do not. Barriers cannot be used to predict companies’ intentions to reduce transportation emissions. The authors examined the impact of three discriminating factors on reduction of transportation emissions. The research is based on perceptions of well-informed managers and on companies in Sweden. Practical implications – The findings can be used by managers to identify firms for benchmarking initiatives and emissions-reducing strategies. Originality/value – The study provides insights into intended CO2 reductions in transportation by 2020. It presents new knowledge regarding barriers and discriminating factors for implementing actions to reduce transportation emissions.

CURRENT STATE AND PROSPECTS OF CARBON FARMING DEVELOPMENT IN THE REPUBLIC OF TATARSTAN

2021 ◽  
Vol 16 (3) ◽  
pp. 7-13
Author(s):  
Radik Safin ◽  
Ayrat Valiev ◽  
Valeriya Kolesar
Keyword(s):  
Greenhouse Gases ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Crop Production ◽  
Agricultural Soils ◽  
Negative Impact ◽  
Animal Husbandry ◽  
Gas Emissions ◽  
The Republic

Global climatic changes have a negative impact on the development of all sectors of the economy, including agriculture. However, the very production of agricultural products is one of the most important sources of greenhouse gases entering the atmosphere. Taking into account the need to reduce the “carbon footprint” in food production, a special place is occupied by the analysis of the volume of greenhouse gas emissions and the development of measures for their sequestration in agriculture. One of the main directions for reducing emissions and immobilizing greenhouse gases is the development of special techniques for their sequestration in the soil, including those used in agriculture. Adaptation of existing farming systems for this task will significantly reduce the “carbon footprint” from agricultural production, including animal husbandry. The development of carbon farming allows not only to reduce greenhouse gas emissions, but also to significantly increase the level of soil fertility, primarily by increasing the content of organic matter in them. As a result, it becomes possible, along with the production of crop production, to produce “carbon units” that are sold on local and international markets. The paper analyzes possible greenhouse gas emissions from agriculture and the potential for their sequestration in agricultural soils. The role of various elements of the farming system in solving the problem of reducing the “carbon footprint” is considered and ways of developing carbon farming in the Republic of Tatarstan are proposed

scholarly journals Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model

2017 ◽  
Vol 17 (11) ◽  
pp. 6663-6678 ◽  
Author(s):  
Shreeya Verma ◽  
Julia Marshall ◽  
Mark Parrington ◽  
Anna Agustí-Panareda ◽  
Sebastien Massart ◽  
...  
Keyword(s):  
Greenhouse Gases ◽  
Transport Model ◽  
A Priori ◽  
Atmospheric Composition ◽  
Random Errors ◽  
Chemical Transport Model ◽  
Spatial Coverage ◽  
Forecasting System ◽  
The Impact ◽  
Total Column

Abstract. Airborne observations of greenhouse gases are a very useful reference for validation of satellite-based column-averaged dry air mole fraction data. However, since the aircraft data are available only up to about 9–13 km altitude, these profiles do not fully represent the depth of the atmosphere observed by satellites and therefore need to be extended synthetically into the stratosphere. In the near future, observations of CO2 and CH4 made from passenger aircraft are expected to be available through the In-Service Aircraft for a Global Observing System (IAGOS) project. In this study, we analyse three different data sources that are available for the stratospheric extension of aircraft profiles by comparing the error introduced by each of them into the total column and provide recommendations regarding the best approach. First, we analyse CH4 fields from two different models of atmospheric composition – the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System for Composition (C-IFS) and the TOMCAT/SLIMCAT 3-D chemical transport model. Secondly, we consider scenarios that simulate the effect of using CH4 climatologies such as those based on balloons or satellite limb soundings. Thirdly, we assess the impact of using a priori profiles used in the satellite retrievals for the stratospheric part of the total column. We find that the models considered in this study have a better estimation of the stratospheric CH4 as compared to the climatology-based data and the satellite a priori profiles. Both the C-IFS and TOMCAT models have a bias of about −9 ppb at the locations where tropospheric vertical profiles will be measured by IAGOS. The C-IFS model, however, has a lower random error (6.5 ppb) than TOMCAT (12.8 ppb). These values are well within the minimum desired accuracy and precision of satellite total column XCH4 retrievals (10 and 34 ppb, respectively). In comparison, the a priori profile from the University of Leicester Greenhouse Gases Observing Satellite (GOSAT) Proxy XCH4 retrieval and climatology-based data introduce larger random errors in the total column, being limited in spatial coverage and temporal variability. Furthermore, we find that the bias in the models varies with latitude and season. Therefore, applying appropriate bias correction to the model fields before using them for profile extension is expected to further decrease the error contributed by the stratospheric part of the profile to the total column.

scholarly journals The Impact of Climate Change on the Value of Growing Maize as a Biofuel

2020 ◽  
Vol 4 (1) ◽  
pp. 13-26
Author(s):  
Sally Olasogba ◽  
Les DUCKERS
Keyword(s):  
Climate Change ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Energy Use ◽  
Farm Management ◽  
Energy Output ◽  
Net Energy ◽  
Primary Concern ◽  
Impact Of Climate Change ◽  
The Impact

Abstract: Aim: According to COP23, Climate Change threatens the stability of the planet’s ecosystems, with a tipping point believed to be at only +2°C.  With the burning of fossil fuels, held responsible for the release of much of the greenhouse gases, a sensible world- wide strategy is to replace fossil fuel energy sources with renewable ones. The renewable resources such as wind, hydro, geothermal, wave and tidal energies are found in particular geographical locations whereas almost every country is potentially able to exploit PV and biomass. This paper examines the role that changing climate could have on the growing and processing of biomass. The primary concern is that future climates could adversely affect the yield of crops, and hence the potential contribution of biomass to the strategy to combat climate change. Maize, a C4 crop, was selected for the study because it can be processed into biogas or other biofuels. Four different Nigerian agricultural zones growing maize were chosen for the study. Long-term weather data was available for the four sites and this permitted the modelling of future climates. Design / Research methods: The results of this study come from modelling future climates and applying this to crop models. This unique work, which has integrated climate change and crop modelling to forecast yield and carbon emissions, reveals how maize responds to the predicted increased temperature, change in rainfall, and the variation in weather patterns. In order to fully assess a biomass crop, the full energy cycle and carbon emissions were estimated based on energy and materials inputs involved in farm management: fertilizer application, and tillage type. For maize to support the replacement strategy mentioned above it is essential that the ratio of energy output to energy input exceeds 1, but of course it should be as large as possible. Conclusions / findings: Results demonstrate that the influence of climate change is important and in many scenarios, acts to reduce yield, but that the negative effects can be partially mitigated by careful selection of farm management practices. Yield and carbon footprint is particularly sensitive to the application rate of fertilizer across all locations whilst climate change is the causal driver for the increase in net energy and carbon footprint at most locations. Nonetheless, in order to ensure a successful strategic move towards a low carbon future, and sustainable implementation of biofuel policies, this study provides valuable information for the Nigerian government and policy makers on potential AEZs to cultivate maize under climate change. Further research on the carbon footprint of alternative bioenergy feedstock to assess their environmental carbon footprint and net energy is strongly suggested. Originality / value of the article: This paper extends the review on the impact of climate change on maize production to include future impacts on net energy use and carbon footprint using a fully integrated assessment framework. Most studies focus only on current farm energy use and historical climate change impact on farm GHG emissions.   

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