scholarly journals Quantification of Greenhouse Gas Emissions from Wood-Plastic Recycled Composite (WPRC) and Verification of the Effect of Reducing Emissions through Multiple Recycling

2020 ◽  
Vol 12 (6) ◽  
pp. 2449
Author(s):  
Yuki Fuchigami ◽  
Keisuke Kojiro ◽  
Yuzo Furuta
Keyword(s):  
Life Cycle ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Assessment Method ◽  
Emission Rates ◽  
Ghg Emission ◽  
Japanese Industrial Standard ◽  
Plastic Materials ◽  
Multiple Recycling ◽  
Recycled Material

Wood-plastic recycled composite (WPRC) is a building material that uses certain amounts of recycled wood and/or plastic materials contained in wood-plastic composites. They are characterized by multiple recycling processes in which products that become post-consumer materials are technically able to be recycled to produce WPRC products. However, there is no research case that quantifies the effect of reducing greenhouse gas (GHG) emissions for the feature of multiple recycling. In this study, we quantified GHG emissions during the life cycle of WPRC that was manufactured by companies certified to the Japanese Industrial Standard (JIS) A 5741, using the life cycle assessment method. The following conclusions were revealed in this study. (1) The GHG emission of the targeted WPRC was 3489 kg-CO2e/t, and the emission rates from the WPRC production process and the combustion of WPRC waste were found to be particularly high. (2) It was found that setting the recycled material rate of plastic materials to 100% would reduce GHG emissions by 28% (1316 kg-CO2e/t) compared to when the recycled material rate was 0%. (3) It was also found that GHG emissions can be reduced by up to about 28% by multiple recycling of WPRC. It can be said that this study set a benchmark of GHG emissions for WPRC produced in Japan.

scholarly journals Life Cycle Assessment of Commercial Delivery Trucks: Diesel, Plug-In Electric, and Battery-Swap Electric

2018 ◽  
Vol 10 (12) ◽  
pp. 4547 ◽  
Author(s):  
Lei Yang ◽  
Caixia Hao ◽  
Yina Chai
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Ghg Emissions ◽  
Assessment Method ◽  
Ghg Emission ◽  
Total Cost Of Ownership ◽  
Cost Of Ownership ◽  
Light Duty ◽  
Frequency Of Use ◽  
Diesel Trucks

The development of electric delivery trucks has attracted much attention in recent years. The purpose of this study is to assess the greenhouse gas (GHG) emissions and the total cost of ownership (TCO) of light-duty and medium-duty diesel trucks (DTs), plug-in electric trucks (ETs), and battery-swap ETs. A simplified life cycle assessment (LCA) method and a TCO assessment method are used. Numerical results show that the average GHG emission of light-duty ETs is 69% lower than that of light-duty DTs, while that of medium-duty ETs is 9.8% higher than that of medium-duty DTs. As regards TCO, those of plug-in ETs and battery-swap ETs are 37.8% lower and 21% higher than that of light-duty DTs, while for medium-duty trucks, the TCO of plug-in and battery-swap ETs are 6.7% lower and 18.9% higher than that of medium-duty DTs. The main conclusion of this paper is that light-duty plug-in ETs exhibit the best performance in terms of cost saving and GHG emission reduction. Moreover, ETs show more advantages than DTs when the frequency of use is higher or when the driving environment is more congested.

Geographic Differences of Greenhouse Gas Emission Reduction From Electric Vehicle Deployment in the United States

2014 ◽  
Author(s):  
Fan Yang ◽  
Chris Yuan ◽  
Xiang Zhao
Keyword(s):  
United States ◽  
Life Cycle ◽  
Greenhouse Gas ◽  
Electric Vehicle ◽  
Emission Reduction ◽  
Ghg Emissions ◽  
The United States ◽  
Ghg Emission ◽  
Co2 Equivalent ◽  
The U.S

The use of electric vehicle (EV) has been widely recognized as an effective way to reduce greenhouse gas (GHG) emissions from transportation sector. However, the geographic difference of GHG emission reduction from EV deployment is seldom explored. This paper presents a study on the total GHG emissions generated from the life cycle of an EV (represented by Nissan Leaf) and an internal combustion vehicle (ICV) (represented by Toyota Corolla) for benchmarking on the potential emission reductions in the United States. The differences of electricity mix and driving style in each state are considered in the analysis. The results indicate a 43% GHG emissions reduction from ICV with the deployment of EV under the current average United States’ electricity generation scheme and transportation style. But the life cycle GHG emission reductions vary significantly from state to state in the U.S. Some states such as Indiana, Wyoming and West Virginia can only get 7237, 9501 and 9860 kg CO2 equivalent reduced, while some states such as Vermont, New Jersey and Idaho can get 57915, 57206 and 49039 kg CO2 equivalent GHG emissions reduced. This study can be useful in supporting future decision-making and strategy development for EV deployment in the U.S.

The potential of bio-methane as bio-fuel/bio-energy for reducing greenhouse gas emissions: a qualitative assessment for Europe in a life cycle perspective

2008 ◽  
Vol 57 (11) ◽  
pp. 1683-1692 ◽  
Author(s):  
Andrea Tilche ◽  
Michele Galatola
Keyword(s):  
Wastewater Treatment ◽  
Life Cycle ◽  
Anaerobic Digestion ◽  
Greenhouse Gas ◽  
Industrial Wastewater ◽  
Ghg Emissions ◽  
Energy Crops ◽  
Qualitative Assessment ◽  
Potential Contribution ◽  
Ghg Reduction

Anaerobic digestion is a well known process that (while still capable of showing new features) has experienced several waves of technological development. It was “born” as a wastewater treatment system, in the 1970s showed promise as an alternative energy source (in particular from animal waste), in the 1980s and later it became a standard for treating organic-matter-rich industrial wastewater, and more recently returned to the market for its energy recovery potential, making use of different biomasses, including energy crops. With the growing concern around global warming, this paper looks at the potential of anaerobic digestion in terms of reduction of greenhouse gas (GHG) emissions. The potential contribution of anaerobic digestion to GHG reduction has been computed for the 27 EU countries on the basis of their 2005 Kyoto declarations and using life cycle data. The theoretical potential contribution of anaerobic digestion to Kyoto and EU post-Kyoto targets has been calculated. Two different possible biogas applications have been considered: electricity production from manure waste, and upgraded methane production for light goods vehicles (from landfill biogas and municipal and industrial wastewater treatment sludges). The useful heat that can be produced as by-product from biogas conversion into electricity has not been taken into consideration, as its real exploitation depends on local conditions. Moreover the amount of biogas already produced via dedicated anaerobic digestion processes has also not been included in the calculations. Therefore the overall gains achievable would be even higher than those reported here. This exercise shows that biogas may considerably contribute to GHG emission reductions in particular if used as a biofuel. Results also show that its use as a biofuel may allow for true negative GHG emissions, showing a net advantage with respect to other biofuels. Considering also energy crops that will become available in the next few years as a result of Common Agricultural Policy (CAP) reform, this study shows that biogas has the potential of covering almost 50% of the 2020 biofuel target of 10% of all automotive transport fuels, without implying a change in land use. Moreover, considering the achievable GHG reductions, a very large carbon emission trading “value” could support the investment needs. However, those results were obtained through a “qualitative” assessment. In order to produce robust data for decision makers, a quantitative sustainability assessment should be carried out, integrating different methodologies within a life cycle framework. The identification of the most appropriate policy for promoting the best set of options is then discussed.

scholarly journals Trade-offs between high yields and greenhouse gas emissions in irrigation wheat cropland in China

2014 ◽  
Vol 11 (8) ◽  
pp. 2287-2294 ◽  
Author(s):  
Z. L. Cui ◽  
L. Wu ◽  
Y. L. Ye ◽  
W. Q. Ma ◽  
X. P. Chen ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Triticum Aestivum L ◽  
Ghg Emission ◽  
Trade Off ◽  
Trade Offs ◽  
High Yields ◽  
Scientific Attention

Abstract. Although the concept of producing higher yields with reduced greenhouse gas (GHG) emissions is a goal that attracts increasing public and scientific attention, the trade-off between high yields and GHG emissions in intensive agricultural production is not well understood. Here, we hypothesize that there exists a mechanistic relationship between wheat grain yield and GHG emission, and that could be transformed into better agronomic management. A total 33 sites of on-farm experiments were investigated to evaluate the relationship between grain yield and GHG emissions using two systems (conventional practice, CP; high-yielding systems, HY) of intensive winter wheat (Triticum aestivum L.) in China. Furthermore, we discussed the potential to produce higher yields with lower GHG emissions based on a survey of 2938 farmers. Compared to the CP system, grain yield was 39% (2352 kg ha−1) higher in the HY system, while GHG emissions increased by only 10%, and GHG emission intensity was reduced by 21%. The current intensive winter wheat system with farmers' practice had a median yield and maximum GHG emission rate of 6050 kg ha−1 and 4783 kg CO2 eq ha−1, respectively; however, this system can be transformed to maintain yields while reducing GHG emissions by 26% (6077 kg ha−1, and 3555 kg CO2 eq ha−1). Further, the HY system was found to increase grain yield by 39% with a simultaneous reduction in GHG emissions by 18% (8429 kg ha−1, and 3905 kg CO2 eq ha−1, respectively). In the future, we suggest moving the trade-off relationships and calculations from grain yield and GHG emissions to new measures of productivity and environmental protection using innovative management technologies.

scholarly journals Development of a Decision Support Model Based on Machine Learning for Applying Greenhouse Gas Reduction Technology

2020 ◽  
Vol 12 (9) ◽  
pp. 3582
Author(s):  
Sungwoo Lee ◽  
Sungho Tae
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Assessment Method ◽  
Economic Benefits ◽  
Environmental Benefits ◽  
Assessment Model ◽  
Decision Support Model ◽  
Ghg Reduction

Multiple nations have implemented policies for greenhouse gas (GHG) reduction since the 21st Conference of Parties (COP 21) at the United Nations Framework Convention on Climate Change (UNFCCC) in 2015. In this convention, participants voluntarily agreed to a new climate regime that aimed to decrease GHG emissions. Subsequently, a reduction in GHG emissions with specific reduction technologies (renewable energy) to decrease energy consumption has become a necessity and not a choice. With the launch of the Korean Emissions Trading Scheme (K-ETS) in 2015, Korea has certified and financed GHG reduction projects to decrease emissions. To help the user make informed decisions for economic and environmental benefits from the use of renewable energy, an assessment model was developed. This study establishes a simple assessment method (SAM), an assessment database (DB) of 1199 GHG reduction technologies implemented in Korea, and a machine learning-based GHG reduction technology assessment model (GRTM). Additionally, we make suggestions on how to evaluate economic benefits, which can be obtained in conjunction with the environmental benefits of GHG reduction technology. Finally, we validate the applicability of the assessment model on a public building in Korea.

scholarly journals A Rough Set Based Assessment of the Strategies to Reduce Greenhouse Gas Emissions: A Tanzanian Shipping Sector Perspective

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Erick P. Massami ◽  
Benitha M. Myamba
Keyword(s):  
Greenhouse Gas ◽  
Rough Set ◽  
Statistical Data ◽  
Ghg Emissions ◽  
Ghg Emission ◽  
Sea Transport ◽  
Abatement Strategies ◽  
Reduction Strategies ◽  
Emission Reduction Strategies ◽  
Synthetic Assessment

The Greenhouse Gas (GHG) emissions due to transport operations have drastically increased in recent years. The sea transport in particular contributes 2.7 to 3 percent of CO2, a major component of GHG emissions globally. Numerous measures have been undertaken locally and internationally to alleviate the sea transport share of Greenhouse Gases. However, most of these measures will be fruitful if ship investors (e.g., ship owners and operators) would fully employ the GHG emission reduction strategies. Due to the scarcity of the statistical data in this respect, this study therefore presents a rough set synthetic assessment (RSSA) model to GHG emission abatement strategies in the Tanzanian shipping sector. The results of the assessment reveal that the Tanzanian shipping companies engaged in Cabotage trade are aware of the abatement strategies and moderately apply them.

First field estimation of greenhouse gas emissions from European soil-dwelling Scarabaeidae larvae targeting the genus Melolontha

2020 ◽  
Author(s):  
Carolyn-Monika Görres ◽  
Claudia Kammann
Keyword(s):  
Greenhouse Gas ◽  
Carbon Emissions ◽  
Developmental Stages ◽  
Ghg Emissions ◽  
Field Measurements ◽  
Spatial And Temporal Variability ◽  
Activity Levels ◽  
Ghg Emission ◽  
Forest Sites ◽  
Wide Range

<p>Arthropods are a major soil fauna group, and have the potential to substantially influence the spatial and temporal variability of soil greenhouse gas (GHG) sinks and sources. The overall effect of soil-inhabiting arthropods on soil GHG fluxes still remains poorly quantified since the majority of the available data comes from laboratory experiments, is often controversial, and has been limited to a few species. The main objective of this study was to provide first insights into field-level carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O) emissions of soil-inhabiting larvae of the Scarabaeidae family. Larvae of the genus <em>Melolontha</em> were excavated at various grassland and forest sites in west-central and southern Germany, covering a wide range of different larval developmental stages, and larval activity levels. Excavated larvae were immediately incubated in the field to measure their GHG emissions. Gaseous carbon emissions of individual larvae showed a large inter- and intra-site variability which was strongly correlated to larval biomass. This correlation persisted when upscaling CO<sub>2</sub> and CH<sub>4 </sub>emissions to the plot scale. Field emission estimates for <em>Melolontha</em> spp. were subsequently upscaled to the European level to derive the first regional GHG emission estimates for members of the Scarabaeidae family. Estimates ranged between 10.42 and 409.53 kt CO<sub>2</sub> yr<sup>-1</sup>, and 0.01 and 1.36 kt CH<sub>4</sub> yr<sup>-1</sup>. Larval N<sub>2</sub>O emissions were only sporadically observed and not upscaled. For one site, a comparison of field- and laboratory-based GHG emission measurements was conducted to assess potential biases introduced by transferring Scarabaeidae larvae to artificial environments. Emission strength and variability of captive larvae decreased significantly within two weeks and the correlation between larval biomass and gaseous carbon emissions disappeared, highlighting the importance of field measurements. Overall, our data show that Scarabaeidae larvae can be significant soil GHG sources and should not be neglected in soil GHG flux research.</p>

Optimal Plug-In Hybrid Vehicle Design and Allocation for Minimum Life Cycle Cost, Petroleum Consumption and Greenhouse Gas Emissions

2010 ◽  
Author(s):  
Ching-Shin Norman Shiau ◽  
Scott B. Peterson ◽  
Jeremy J. Michalek
Keyword(s):  
Life Cycle ◽  
Greenhouse Gas ◽  
Life Cycle Cost ◽  
Hybrid Electric Vehicle ◽  
Operating Cost ◽  
Ghg Emissions ◽  
The United States ◽  
Vehicle Design ◽  
Battery Capacity ◽  
Hybrid Electric

Plug-in hybrid electric vehicle (PHEV) technology has the potential to help address economic, environmental, and national security concerns in the United States by reducing operating cost, greenhouse gas (GHG) emissions and petroleum consumption from the transportation sector. However, the net effects of PHEVs depend critically on vehicle design, battery technology, and charging frequency. To examine these implications, we develop an integrated optimization model utilizing vehicle physics simulation, battery degradation data, and U.S. driving data to determine optimal vehicle design and allocation of vehicles to drivers for minimum life cycle cost, GHG emissions, and petroleum consumption. We find that, while PHEVs with large battery capacity minimize petroleum consumption, a mix of PHEVs sized for 25–40 miles of electric travel produces the greatest reduction in lifecycle GHG emissions. At today’s average US energy prices, battery pack cost must fall below $460/kWh (below $300/kWh for a 10% discount rate) for PHEVs to be cost competitive with ordinary hybrid electric vehicles (HEVs). Carbon allowance prices have marginal impact on optimal design or allocation of PHEVs even at $100/tonne. We find that the maximum battery swing should be utilized to achieve minimum life cycle cost, GHGs, and petroleum consumption. Increased swing enables greater all-electric range (AER) to be achieved with smaller battery packs, improving cost competitiveness of PHEVs. Hence, existing policies that subsidize battery cost for PHEVs would likely be better tied to AER, rather than total battery capacity.

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