scholarly journals Economic Analysis of Developing a Sustainable Aviation Fuel Supply Chain Incorporating With Carbon Credits: A Case Study of the Memphis International Airport

2021 ◽  
Vol 9 ◽  
Author(s):  
Bijay P Sharma ◽  
T. Edward Yu ◽  
Burton C. English ◽  
Christopher N. Boyer

Sustainable aviation fuel (SAF) has been considered as a potential means to mitigate greenhouse gas (GHG) emissions from the aviation sector, which is projected to continuously expand. This study examines the impact of developing a SAF sector along with carbon credits on carbon equivalent emissions from aviation using a Stackelberg leader-follower model that accounts for economic interaction between SAF processor and feedstock producers. The modeling framework is applied to an ex-ante optimization of commercial scale SAF production for the Memphis International Airport from the switchgrass-based alcohol-to-jet pathway. Results suggest that supplying 136 million gallons of SAF to the Memphis International Airport annually could reduce 62.5% of GHG emissions compared to conventional jet fuel (CJF). Incorporating with carbon credits, SAF could lower GHG emissions by about 65% in total from displacing CJF and generate additional welfare gains ranging between $12 and $51 million annually compared to the case without carbon credits. In addition, sensitivity analysis suggests advancing SAF conversion rate from biomass could lower the SAF break-even considerably and enhance the competitiveness of SAF over CJF.

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 461
Author(s):  
Isabel Azevedo ◽  
Vítor Leal

This paper proposes the use of decomposition analysis to assess the effect of local energy-related actions towards climate change mitigation, and thus improve policy evaluation and planning at the local level. The assessment of the impact of local actions has been a challenge, even from a strictly technical perspective. This happens because the total change observed is the result of multiple factors influencing local energy-related greenhouse gas (GHG) emissions, many of them not even influenced by local authorities. A methodology was developed, based on a recently developed decomposition model, that disaggregates the total observed changes in the local energy system into multiple causes/effects (including local socio-economic evolution, technology evolution, higher-level governance frame and local actions). The proposed methodology, including the quantification of the specific effect associated with local actions, is demonstrated with the case study of the municipality of Malmö (Sweden) in the timeframe between 1990 and 2015.


2021 ◽  
pp. 32-35
Author(s):  
Amine Moulay Taj ◽  
Fouzi Belmir

In a global context increasingly concerned with climate change, understanding the impact of economic growth on the environment is becoming crucial, especially for developing countries. Morocco has been committed to the United Nations Framework Convention on Climate Change (UNFCCC) to achieve the objectives set for reducing greenhouse gas (GHG) emissions by 13% by 2030, with 2010 as the reference year. Such a target could reach 32% by the same horizon under certain technical, financial and capacity building support conditions.The main emitters of greenhouse gases (CH4 and CO2) are landfills because during the decomposition of solid waste CO2 is the most present gas pollutant is for this reason focuses this case study carried out in a landfill located in Fez, the development of a new calculation method or we could have a reduction in CO2 41261,69 teq CO2/year and with a yield of 85%.


Author(s):  
Hajar BADA ◽  
Mohamed LAHKIM ◽  
Ahmed BELMOUDEN ◽  
Nadia El Kadmiri

In order to respond to climate change, the Chinese government has committed to reduce the intensity of its national GHG emissions by 2020. In contrast to expectations, this year has seen an unexpected tragedy in the form of the corona virus epidemic. This virus, which belongs to the SARS-COV-2 family, has created a global turmoil and led to a record number of infections and deaths. In this situation, China took refuge as the first country to announce the appearance of the virus, resorted to quarantine in the absence of a vaccine against the virus, declared a state of emergency and then led to the shutdown of the Chinese economy. With the increase in the number of infections and deaths several study had analyzing the connection between economic growth and covid-19 or public health and covid-19, while this paper focuses on the impact of COVID-19 on air quality, specifically the concentration of GHGs in the air resulting from industrial activities by comparing GHGs emissions in 2020 and previous years on the one hand, on the other hand, by analyzing the difference between the annual number of deaths caused by pollution and those caused by the virus. This mini review highlights the effect of long-term exposure to pollutants and the high risk of infection by the virus, China is taken as a case study, which evaluates the impact of COVID-19 on the environment.


Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2829
Author(s):  
Samah Temim ◽  
Farid Bensebaa ◽  
Larbi Talbi

In this paper, a modeling framework to quantify the reduction of potential greenhouse gas (GHG) emissions when using solar-powered Wi-Fi as an internet access point is developed and tested. This framework includes newly developed MATLAB code and the use of the ATOLL tool for energy consumption and network optimization, respectively. A practical case study is described with scenarios enabling different signal coverage on a university campus. These scenarios are based on technical requirements, including number of access points, budget link, and access duration. Four hundred tons of GHG can be reduced each year if solar Wi-Fi is deployed in solar campuses, which represents 5.5 × 10−5 percent of the total GHG produced by the telecommunications sector. A direct relationship between the number of access points and coverage signal quality on the one hand and energy consumption on the other hand is established. We use this case study to forecast the potential GHG mitigation if a wider deployment of the community Wi-Fi is achieved. This methodology could also be used to estimate GHG reductions when other wireless technologies are deployed.


2021 ◽  
Author(s):  
Benjamin W. Portner ◽  
Christian H. Endres ◽  
Thomas Brück ◽  
Daniel Garbe

Thin-layer cascades (TLCs) enable algae cultivation at high cell densities, thus increasing biomass yields and facilitating the harvest process. This makes them a promising technology for industrial-scale algal fuel production. Using Life Cycle Assessment (LCA), we calculate the greenhouse gas (GHG) emissions of aviation fuel produced using algal biomass from TLCs. We find that the impact (81 g CO2e per MJ) is lower than that of fuel from algal biomass cultivated in open race way ponds (94 g CO2e). However, neither of the two cultivation systems achieve sufficient GHG savings for compliance with the Renewable Energy Directive II. Seawater desalination in particular dominates the TLC impact, indicating a trade-off between carbon and water footprint. In both cultivation systems, the mixing power and fertilizer consumption present further significant impacts. There is uncertainty in the correlation between mixing power and algal oil yield, which should be investigated by future experimental studies.


2021 ◽  
Author(s):  
Xinxu Zhao ◽  
Jia Chen ◽  
Julia Marshall ◽  
Michal Galkowski ◽  
Christoph Gerbig ◽  
...  

<p>During the COVID-19 pandemic lockdowns, human activities are strongly restricted, which results in a reduction in greenhouse gas (GHG) emissions associated with changes in energy consumptions. The Copernicus Atmosphere Monitoring Service (CAMS) reported a 10.3% decrease in CO<sub>2</sub> fossil fuel emissions during the first lockdown (February-July, 2020) of the COVID-19 pandemic throughout Europe. Using our WRF modeling framework built for the Munich area [1,3] and the column measurements from our automated Munich Urban Carbon Column network (MUCCnet, [2]), we aim to quantify the reduction of GHG emissions within Munich during the COVID-19 pandemic.</p><p>Our high-resolution modeling framework can simulate the sources, sinks, and emissions of CO<sub>2</sub> and CH<sub>4 </sub>at a spatial resolution of up to 400m. The initial and boundary conditions for meteorological fields are taken from ERA5 and CAMS data is used for initializing the initial and lateral tracer boundary conditions. Anthropogenic emissions below ~1 km altitude above the ground level are obtained from TNO-GHGco v1.1 at a resolution of 1 km<sup>2</sup>. Various tagged tracers are included to quantify the contribution from different emission categories (such as biogenic emissions from wetlands, emissions from road transport, industry, etc). By refining the vegetation classification using the Dynamic Land Cover map of the Copernicus Global Land Service at 100 m resolution (CGLS-LC100), the urban biogenic signals of CO<sub>2</sub> can be well captured using the diagnostic light-use-efficiency biosphere model VPRM (Vegetation Photosynthesis and Respiration Model), which is driven by MODIS indices. Moreover, we integrate urban canopy information derived from World Urban Database and Access Portal Tools (WUDAPT) classified by local climate zones (LCZs) [4] into our model infrastructure. Incorporating precise urban land use data in WRF helps to capture more urban transport features, improving the model behavior within urban areas.</p><p>We targeted the pandemic period from February to July 2020 and the same period in 2019 to make a comparison. Thanks to our nearly continuous column measurements during the COVID-19 pandemic, we are able to evaluate our simulated GHG concentrations by comparing them to the measurement results. Furthermore, an estimation of GHG emissions reduction in Munich during the targeted period will be obtained by performing a Bayesian inversion approach incorporating the simulated concentration enhancements from tagged tracers in WRF.</p><p>[1] Zhao, X., Chen, J., Marshall, J., Galkowski, M., Gerbig, C., Hachinger, S., Dietrich, F., Lan, L., Knote, C., and van der Gon, H.D., 2020. A semi-operational near-real-time Modelling Infrastructure for assessing GHG emissions in Munich using WRF-GHG. In EGU General Assembly 2020.</p><p>[2] Dietrich, F., Chen, J., Voggenreiter, B., Aigner, P., Nachtigall, N., and Reger, B.: Munich permanent urban greenhouse gas column observing network, Atmos. Meas. Tech. Discuss. https://doi.org/10.5194/amt-2020-300, in review, 2020.</p><p>[3] Zhao, X., Marshall, J., Hachinger, S., Gerbig, C., Frey, M., Hase, F., and Chen, J.: Analysis of total column CO<sub>2</sub> and CH<sub>4</sub> measurements in Berlin with WRF-GHG, Atmos. Chem. Phys., 19, 11279–11302, https://doi.org/10.5194/acp-19-11279-2019, 2019.</p><p>[4] Demuzere, M., Bechtel, B., Middel, A., & Mills, G. (2019). Mapping Europe into local climate zones. PLOS ONE, 14(4), e0214474. https://doi.org/10.1371/journal.pone.0214474.</p>


2012 ◽  
Vol 3 (2) ◽  
pp. 151-162 ◽  
Author(s):  
Benjamin Haley ◽  
Jean-Baptiste Gallo ◽  
Abigail Kehr ◽  
Michael Perry ◽  
David Siao ◽  
...  

This paper assesses the potential greenhouse gas (GHG) emissions reduction impacts of urban water conservation. Using California as a case study, it estimates this co-benefit of California's statewide urban water conservation goal of 20% per capita reduction by 2020 (relative to a year 2000 baseline). We developed a model of a water supply system to assess the impact of reduced urban water demand on emissions. Embedded energy and emissions were established for each stage of the water supply cycle: supply and conveyance, treatment, distribution, end use and wastewater treatment. We conclude that water conservation, in addition to being an important strategy for adaptation to climate change, represents a significant opportunity for mitigation. Under policies that prioritize savings of water that is heated, the most energy-intensive process in the supply cycle, water conservation offers the potential to conserve 3.5 Mt CO2e in 2020. This result suggests that water conservation could be an important mitigation strategy in other states, even those that are not water-constrained and do not have highly energy intensive supply sources.


2019 ◽  
Vol 266 ◽  
pp. 02005
Author(s):  
Azlina Md. Yassin ◽  
Mohd Lizam Mohd Diah ◽  
Edie Ezwan Mohd Safian ◽  
Mohd Yamani Yahya ◽  
Sulzakimin Mohammad ◽  
...  

The objective of this paper is to examine the effect of aircraft noise on residential property price within the case study area, and the main focus of this research was the distance of selected residential housed from Kuching International Airport (KIA). Aircraft noise is a source of noise pollution and act as environment factor that affect the house prices. Environmental disamenities from water and noise pollution will caused the houses to sell at lower price, accounted 20.8% less than houses located in area without noise interference. Apparently, the noise produced by the aircraft has even larger negative impact on house prices as compared to road traffic noise and railway noise. This study adopted quantitative approach in answering the objective of the paper. The findings were based on the secondary data which including 210 property transaction data within year 2015. The range of areas for this study was limited to selected residential terrace houses that located within 10.0 km from Kuching International Airport (KIA). The findings from Multiple Regression Analysis (MRA) shows that the property prices located nearer to the airport (<2.5 km from KIA) in selected case study areas have been sold with lower price. Moreover, the prices of the properties located distance from KIA were not negatively impacted by the aircraft noise due to the other pulling factor that has larger impact to the property. Indeed, the location of the property, public amenities, transportation system, neighborhood factor and facilities also has close relationship to the property price.


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