scholarly journals Renewable Carbon Feedstock for Polymers - Environmental Benefits from Synergistic Use of Biomass and CO2

2021 ◽  
Author(s):  
Marvin Bachmann ◽  
Arne Kätelhön ◽  
Benedikt Winter ◽  
Raoul Meys ◽  
Leonard Müller ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Environmental Benefits ◽  
Polymer Industry ◽  
Industry Needs

Polymer production is a major source of greenhouse gas (GHG) emissions. To reduce GHG emissions, the polymer industry needs to shift towards renewable carbon feedstocks such as biomass and CO2....

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.

Impact of renewable energy deployment on climate change in Nigeria

2015 ◽  
Vol 26 (3) ◽  
pp. 125-134
Author(s):  
Udochukwu B. Akuru ◽  
Ogbonnaya I. Okoro ◽  
Edward Chikuni
Keyword(s):  
Climate Change ◽  
Renewable Energy ◽  
Greenhouse Gas ◽  
Environmental Effects ◽  
Fossil Fuels ◽  
Ghg Emissions ◽  
Environmental Benefits ◽  
Energy Sources ◽  
Industrial Growth ◽  
Impacts Of Climate Change

It is well known fact that the rate of industrial growth of any country is a function of the amount of energy available in that country and the extent to which this energy is utilized. The burning of fossil fuels to generate energy is a dirty process. Greenhouse gas (GHG) emissions result when fossil fuels are produced and consumed and these emissions contribute to climate change. Nigeria as a country is highly vulnerable to the impacts of climate change because its economy is mainly dependent on income generated from the production, processing, export and/or consumption of fossil fuels and its associated energy-intensive products. Hence, it is on this premise that this paper is researched to review the energy sources being used in Nigeria and investigate its impact to climate change. Findings reveal Nigeria’s over-dependence on fossil-generated energy with associated adverse environmental effects, among other things. Recommendations for the integration of renewable energy into Nigeria’s energy mix, beyond other measures, have been offered, especially with reference to the salient environmental benefits that accrue to it.

scholarly journals Current developments in bioethanol production

2008 ◽  
Vol 29 (1) ◽  
pp. 6
Author(s):  
Peter L Rogers
Keyword(s):  
Regional Development ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Biomass Energy ◽  
Environmental Benefits ◽  
High Yield ◽  
High Price ◽  
Lignocellulosic Materials ◽  
Bioethanol Production ◽  
Forestry Residues

The recent high price of oil (in excess of $US95 per barrel), security advantages of increased domestic production, environmental benefits of reduced greenhouse gas (GHG) emissions and the potential for regional development, have all contributed recently to a greatly increased interest in bioethanol. In the longer term, second generation processes based on lignocellulosic materials from agricultural/forestry residues and/or specific high yield biomass energy crops offer greater potential for increased production as they avoid the food vs fuel conflict.

The Joint Effects of Income, Vehicle Technology, and Rail Transit Access on Greenhouse Gas Emissions

2018 ◽  
Vol 2672 (24) ◽  
pp. 75-86 ◽  
Author(s):  
Marlon G. Boarnet ◽  
Raphael W. Bostic ◽  
Andrew Eisenlohr ◽  
Seva Rodnyansky ◽  
Raúl Santiago-Bartolomei ◽  
...  
Keyword(s):  
Los Angeles ◽  
Greenhouse Gas ◽  
San Francisco ◽  
San Diego ◽  
Metropolitan Areas ◽  
Ghg Emissions ◽  
Environmental Benefits ◽  
Rail Transit ◽  
Tobit Regression ◽  
Bay Area

This paper examines the relationship between income, vehicle miles traveled (VMT), and greenhouse gas (GHG) emissions for households with varying access to rail transit in four metropolitan areas—Los Angeles, the San Francisco Bay Area, San Diego, and Sacramento—using data from the 2010–2012 California Household Travel Survey. Daily vehicle GHG emissions are calculated using the California Air Resources Board’s 2014 EMFAC (emission factors) model. Two Tobit regression models are used to predict daily VMT and GHG by income, rail transit access (within or outside 0.5 miles of a rail transit station in Los Angeles and the Bay Area, and linear distance to rail in San Diego and Sacramento), and metropolitan area. Comparing predicted VMT and GHG emissions levels, this paper concludes that predicted VMT and GHG emission patterns for rail access vary across metropolitan areas in ways that may be related to the age and connectivity of the areas’ rail systems. The results also show that differences in household VMT due to rail access do not scale proportionally to differences in GHG emissions. Regardless, the fact that GHG emissions are lower near rail transit for virtually all income levels in this study implies environmental benefits from expanding rail transit systems, as defined in this paper.

scholarly journals Fisheries: A Missing Link in Greenhouse Gas Emission Policies in South Korea

2021 ◽  
Vol 13 (11) ◽  
pp. 5858
Author(s):  
Kyumin Kim ◽  
Do-Hoon Kim ◽  
Yeonghye Kim
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Ghg Emissions ◽  
Bioeconomic Model ◽  
Negative Externalities ◽  
Fishing Vessel ◽  
Gas Emission ◽  
Fishing Vessels ◽  
The Government ◽  
Different Levels

Recent studies demonstrate that fisheries are massive contributors to global greenhouse gas (GHG) emissions. The average Korean fishing vessel is old, fuel-inefficient, and creates a large volume of emissions. Yet, there is little research on how to address the GHG emissions in Korean fisheries. This study estimated the change in GHG emissions and emission costs at different levels of fishing operations using a steady-state bioeconomic model based on the case of the Anchovy Tow Net Fishery (ATNF) and the Large Purse Seine Fishery (LPSF). We conclude that reducing the fishing efforts of the ATNF and LPSF by 37% and 8% respectively would not only eliminate negative externalities on the anchovy and mackerel stock respectively, but also mitigate emissions and emission costs in the fishing industry. To limit emissions, we propose that the Korean government reduce fishing efforts through a vessel-buyback program and set an annual catch limit. Alternatively, the government should provide loans for modernizing old fishing vessels or a subsidy for installing emission abatement equipment to reduce the excessive emissions from Korean fisheries.

scholarly journals LEAP-Based Greenhouse Gases Emissions Peak and Low Carbon Pathways in China’s Tourist Industry

2021 ◽  
Vol 18 (3) ◽  
pp. 1218
Author(s):  
Dandan Liu ◽  
Dewei Yang ◽  
Anmin Huang
Keyword(s):  
Greenhouse Gas ◽  
Global Climate ◽  
Ghg Emissions ◽  
Control Measures ◽  
Growth Potential ◽  
Planning System ◽  
Tourist Industry ◽  
Low Carbon ◽  
Carbon Reduction ◽  
Co2 Equivalent

China has grown into the world’s largest tourist source market and its huge tourism activities and resulting greenhouse gas (GHG) emissions are particularly becoming a concern in the context of global climate warming. To depict the trajectory of carbon emissions, a long-range energy alternatives planning system (LEAP)-Tourist model, consisting of two scenarios and four sub-scenarios, was established for observing and predicting tourism greenhouse gas peaks in China from 2017 to 2040. The results indicate that GHG emissions will peak at 1048.01 million-ton CO2 equivalent (Mt CO2e) in 2033 under the integrated (INT) scenario. Compared with the business as usual (BAU) scenario, INT will save energy by 24.21% in 2040 and reduce energy intensity from 0.4979 tons of CO2 equivalent/104 yuan (TCO2e/104 yuan) to 0.3761 Tce/104 yuan. Although the INT scenario has achieved promising effects of energy saving and carbon reduction, the peak year 2033 in the tourist industry is still later than China’s expected peak year of 2030. This is due to the growth potential and moderate carbon control measures in the tourist industry. Thus, in order to keep the tourist industry in synchronization with China’s peak goals, more stringent measures are needed, e.g., the promotion of clean fuel shuttle buses, the encouragement of low carbon tours, the cancelation of disposable toiletries and the recycling of garbage resources. The results of this simulation study will help set GHG emission peak targets in the tourist industry and formulate a low carbon roadmap to guide carbon reduction actions in the field of GHG emissions with greater certainty.

Sign in / Sign up

Export Citation Format

Share Document