The Opportunities and Challenges of Chinese Renewable Energy Greenhouse Gas Emission Reduction Trade

2014 ◽  
Vol 1010-1012 ◽  
pp. 2094-2101
Author(s):  
Long Xi Han ◽  
Jia Jia Zhai ◽  
Lin Zhang
Keyword(s):  
Renewable Energy ◽  
Greenhouse Gas ◽  
Emission Reduction ◽  
Greenhouse Gas Emission ◽  
Carbon Trading ◽  
Ghg Emission ◽  
Trading System ◽  
Trading Market ◽  
The Future ◽  
The Impact

The opportunities and challenges in the field of Chinese renewable energy were analyzed through the impact of global greenhouse gas (GHG) emission reduction trade, especially CDM on Chinese renewable energy, combined with the enhancement of awareness of voluntary emission reduction, relationship between emission reduction trade and renewable energy, changes in the international trade environment and the rise of the domestic trading system. It is suggested that the renewable energy industry integrates with GHG emission reduction trading system in China and explores the huge double benefit of emission reduction and income increase with market means, providing a reference for the smooth implementation of nationwide CN ETS including varies industries in the carbon trading market in the future, and striving for the speaking right for China to set the marketing price of international GHG emission reduction trading in the future.

Overview of Legal and Policy Measures of Carbon Trading and Renewable Energy Certificate (REC) In India

2021 ◽  
Vol 16 (1) ◽  
pp. 259-267
Author(s):  
Haider Ali ◽  
Santosh Kumar Tiwari
Keyword(s):  
Climate Change ◽  
Renewable Energy ◽  
Greenhouse Gas ◽  
Kyoto Protocol ◽  
Greenhouse Gas Emission ◽  
Action Plan ◽  
Policy Framework ◽  
Carbon Trading ◽  
Trading System ◽  
Policy Measures

It is scientifically well proven facts that carbon dioxide is the main cause of greenhouse gas emission by burning of fossils fuels. Kyoto Protocol to the United Nations Framework Convention on Climate Change (UNFCCC) empower the parties to curb greenhouse gas emissions from the diverse industries by elaborating the mechanisms of Clean Development Mechanism Joint Implementation, and Emission Trading. This has created an international market for carbon trading. The paper addresses the global and Indian’s national carbon trading system, starting with the UNFCCC, and Kyoto Protocol comprising carbon credit components. The paper also tries to examine the obligation of India under the Kyoto protocol and later discuss the legal and policy framework implemented by India to encourage CDM and carbon trading in India. It traces different policy measures like National Action Plan and State Action Plans on Climate Change, National Mission on Enhanced Energy Efficiency (NMEEE), Climate Change Action Program, 2010, Perform Achieve and Trade (PAT), Renewable Energy Credit Trading System (REC), PILOT ETS in some Indian provinces, the significant arrangements of Energy Conservation Act, 2001 and The Environmental Protection Act, 1986, Air (Prevention and Control of Pollution) Act, 1981 are likewise examined. This paper further discusses the positives and negative aspect of this scheme and also its review, criticisms and problems. It ends by providing an Indian perspective to this scheme. Study of this paper would be especially beneficial for the governments, stakeholders and research scholars to know the whole legal and policy mechanism of carbon trading.

scholarly journals Comparison of the Greenhouse Gas Emission Reduction Potential of Energy Communities

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4440 ◽  
Author(s):  
Wouter Schram ◽  
Atse Louwen ◽  
Ioannis Lampropoulos ◽  
Wilfried van Sark
Keyword(s):  
Greenhouse Gas ◽  
Emission Reduction ◽  
Reduction Potential ◽  
Greenhouse Gas Emission ◽  
Heat Pumps ◽  
Solar Irradiation ◽  
Ghg Emission ◽  
Reduction Potentials ◽  
Emission Reduction Potential ◽  
Energy Sharing

In this research, the greenhouse gas (GHG) emission reduction potentials of electric vehicles, heat pumps, photovoltaic (PV) systems and batteries were determined in eight different countries: Austria, Belgium, France, Germany, Italy, the Netherlands, Portugal and Spain. Also, the difference between using prosuming electricity as a community (i.e., energy sharing) and prosuming it as an individual household was calculated. Results show that all investigated technologies have substantial GHG emission reduction potential. A strong moderating factor is the existing electricity generation mix of a country: the GHG emission reduction potential is highest in countries that currently have high hourly emission factors. GHG emission reduction potentials are highest in southern Europe (Portugal, Spain, Italy) and lowest in countries with a high share of nuclear energy (Belgium, France). Hence, from a European GHG emission reduction perspective, it has most impact to install PV in countries that currently have a fossil-fueled electricity mix and/or have high solar irradiation. Lastly, we have seen that energy sharing leads to an increased GHG emission reduction potential in all countries, because it leads to higher PV capacities.

scholarly journals Lignocellulosic Ethanol in a Greenhouse Gas Emission Reduction Obligation System—A Case Study of Swedish Sawdust Based-Ethanol Production

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1048 ◽  
Author(s):  
Sylvia Haus ◽  
Lovisa Björnsson ◽  
Pål Börjesson
Keyword(s):  
Life Cycle ◽  
Greenhouse Gas ◽  
Ethanol Production ◽  
Production System ◽  
Emission Reduction ◽  
Greenhouse Gas Emission ◽  
Economic Incentives ◽  
Transport Sector ◽  
Lignocellulosic Ethanol ◽  
Ghg Emission

A greenhouse gas (GHG) emission reduction obligation system has been implemented in the Swedish road transport sector to promote the use of biofuels. For transportation fuel suppliers to fulfil this obligation, the volume of biofuel required decreases with decreasing life cycle GHG emission for the biofuel, linking lower GHG emission to higher economic value. The aim of this study was to investigate how the economic competitiveness of a Swedish emerging lignocellulosic-based ethanol production system would be influenced by the reduction obligation. The life cycle GHG emission for sawdust-based ethanol was calculated by applying the method advocated in the EU Renewable Energy Directive (RED II). The saving in GHG emissions, compared with fossil liquid transportation fuels, was 93% for a potential commercial production system in southern Sweden. This, in turn, will increase the competitiveness of sawdust-based ethanol compared to the mainly crop-based ethanol currently used in the Swedish biofuel system, which has an average GHG emission saving of 68%, and will allow for an almost 40% higher price of sawdust-based ethanol, compared to the current price of ethanol at point of import. In a future developed, large-scale market of advanced ethanol, today’s GHG emission reduction obligation system in Sweden seems to afford sufficient economic advantage to make lignocellulosic ethanol economically viable. However, in a short-term perspective, emerging lignocellulosic-based ethanol production systems are burdened with economic risks and therefore need additional economic incentives to make a market introduction possible.

scholarly journals Future Predictions of Rainfall and Temperature Using GCM and ANN for Arid Regions: A Case Study for the Qassim Region, Saudi Arabia

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1260 ◽  
Author(s):  
Khalid Alotaibi ◽  
Abdul Ghumman ◽  
Husnain Haider ◽  
Yousry Ghazaw ◽  
Md. Shafiquzzaman
Keyword(s):  
Saudi Arabia ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Data Driven ◽  
Emission Scenarios ◽  
Gas Emission ◽  
The Future ◽  
Emissions Scenarios ◽  
The Impact

Future predictions of rainfall patterns in water-scarce regions are highly important for effective water resource management. Global circulation models (GCMs) are commonly used to make such predictions, but these models are highly complex and expensive. Furthermore, their results are associated with uncertainties and variations for different GCMs for various greenhouse gas emission scenarios. Data-driven models including artificial neural networks (ANNs) and adaptive neuro fuzzy inference systems (ANFISs) can be used to predict long-term future changes in rainfall and temperature, which is a challenging task and has limitations including the impact of greenhouse gas emission scenarios. Therefore, in this research, results from various GCMs and data-driven models were investigated to study the changes in temperature and rainfall of the Qassim region in Saudi Arabia. Thirty years of monthly climatic data were used for trend analysis using Mann–Kendall test and simulating the changes in temperature and rainfall using three GCMs (namely, HADCM3, INCM3, and MPEH5) for the A1B, A2, and B1 emissions scenarios as well as two data-driven models (ANN: feed-forward-multilayer, perceptron and ANFIS) without the impact of any emissions scenario. The results of the GCM were downscaled for the Qassim region using the Long Ashton Research Station’s Weather Generator 5.5. The coefficient of determination (R2) and Akaike’s information criterion (AIC) were used to compare the performance of the models. Results showed that the ANNs could outperform the ANFIS for predicting long-term future temperature and rainfall with acceptable accuracy. All nine GCM predictions (three models with three emissions scenarios) differed significantly from one another. Overall, the future predictions showed that the temperatures of the Qassim region will increase with a specified pattern from 2011 to 2099, whereas the changes in rainfall will differ over various spans of the future.

scholarly journals Assessing farmers' contribution to greenhouse gas emission and the impact of adopting climate-smart agriculture on mitigation

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Michael Ayeah Israel ◽  
Joseph Amikuzuno ◽  
Gideon Danso-Abbeam
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Smallholder Farmers ◽  
Ghg Emissions ◽  
Northern Ghana ◽  
Necessary Condition ◽  
Ghg Emission ◽  
Adaptation To Climate Change ◽  
Generalized Poisson ◽  
The Impact

Abstract Background The adoption of climate-smart agricultural (CSA) practices is expected to improve farmers’ adaptation to climate change and also increase yields while simultaneously curbing greenhouse gas (GHG) emissions. This paper explores the determinants of smallholder farmers’ participation in GHG-emitting activities. It also estimates the impact of CSA activities on reducing GHG emissions. Methods The findings are based on survey data obtained from 350 smallholder farmers in the East Gonja district of Northern Ghana. We adopted the generalized Poisson regression model in identifying factors influencing farmers’ participation in the GHG emission practices and inverse-probability-weighted regression adjustment (IPWRA) to estimate the impact of CSA adoption on GHG emissions. Results Most farming households engaged in at least one emission activity. The findings of the generalized Poisson model found that wealthier households, higher education, and households with access to extension services were less likely to participate in GHG emission activities. There was also evidence that CSA adoption significantly reduces GHG emissions. Conclusion Advocacy in CSA adoption could be a necessary condition for environmental protection through the reduction of GHG emissions.

scholarly journals Energy Use and Human Health Nexus in Pakistan

2020 ◽  
Vol 6 (3) ◽  
pp. 661-674
Author(s):  
Noreen Safdar ◽  
Hala Asif ◽  
Fatima Farooq
Keyword(s):  
Renewable Energy ◽  
Greenhouse Gases ◽  
Greenhouse Gas ◽  
Environmental Degradation ◽  
Energy Use ◽  
Greenhouse Gas Emission ◽  
Human Beings ◽  
Distributed Lag ◽  
Auto Regressive ◽  
The Impact

This study finds the impact of coal energy (a kind of non-renewable energy), renewable energy, Greenhouse gases, industrialization, population growth and environmental degradation and on the health of human beings, with the key emphasis on Tuberculosis incidence in Pakistan for the time span 1986 to 2017. For a deep practical insight, the study develops a system Auto-Regressive Distributed Lag (ARDL) model. The results report that with an increase in the usage of coal energy, the incidence of Tuberculosis also increases. In addition, the results also highlight that by turning to the renewable energy (energy by sun, wind and air) the health could be improved as the renewable energy is environment friendly and it does not generate greenhouse gases and it also does not cause environmental degradation. So, renewable energy serves as helping factor to reduce the occurrence of Tuberculosis in Pakistan. Moreover, the renewable energy is serving to lessen the greenhouse gas emission and it also serves to lessen the environmental degradation in Pakistan. On the contrast, the coal energy is causing environmental degradation by increasing the amount of Greenhouse gas emissions in the atmosphere which in turn causes Tuberculosis in Islamic Republic of Pakistan.

The Allocation Principle of Greenhouse Gas Reduction Responsibilities and International Coalition Patten in the Following 40 Years

2014 ◽  
Vol 962-965 ◽  
pp. 1410-1418
Author(s):  
Yuan Yuan ◽  
Ji Xian Liu ◽  
Zhang Fang
Keyword(s):  
Greenhouse Gas ◽  
Emission Reduction ◽  
Greenhouse Gas Emission ◽  
Gas Emission ◽  
Greenhouse Gas Reduction ◽  
Common But Differentiated Responsibilities ◽  
Controversial Problem ◽  
Per Capita ◽  
The Impact ◽  
Greenhouse Gas Emission Reduction

The allocation principle of greenhouse gas emission reduction responsibilities decides the effective of abatement program, but it is the most controversial problem in climate negotiation. Three common principles are compared in this paper, with the conclusion that allocation according to per capita and allocation according to grandfathering will not be accepted by the whole world, although common but differentiated responsibilities between developed and developing countries can not form a grand abatement coalition, it can effectively control the rise of temperature, and the impact to each countries’ economy is the smallest among the three principle.

scholarly journals Economic Benefit and Greenhouse Gas Emission Reduction Potential of A Family-Scale Cowdung Anaerobic Biogas Digester

2017 ◽  
Vol 6 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Agus Haryanto ◽  
Dwi Cahyani ◽  
Sugeng Triyono ◽  
Fauzan Murdapa ◽  
Dwi Haryono
Keyword(s):  
Greenhouse Gas ◽  
Emission Reduction ◽  
Economic Benefit ◽  
Reduction Potential ◽  
Greenhouse Gas Emission ◽  
Ghg Emission ◽  
Gas Emission ◽  
Emission Reduction Potential ◽  
Good Potential ◽  
Greenhouse Gas Emission Reduction

The objective of this research was to evaluate economic benefit and greenhouse gas (GHG) emission reduction potential of a family-scale anaerobic cowdung biogas digester. Research was conducted at two villages in Lampung Province, namely Marga Lestari, District of South Lampung and Pesawaran Indah, District of Pesawaran. Economic benefit and GHG emission reduction potential were evaluated from LPG saving due to biogas utilisation for cooking and fertilizer substitution by slurry digestate. Results showed that a family-scale anaerobic cowdung biogas digester demonstrated a good potential to reduce GHG emission, but not in economic. A digester with 4 heads of cow produced biogas at a rate of 1582 L/day. With average methane content of 53.6%, energy value of the biogas was equivalent to 167 kg LPG and able to substitute 52 bottles LPG annually. A family-scale biogas contributed 108.1 USD/year and potentially reduced GHG emission by 5292.5 kg CO2e/year resulted from biomethane potential, LPG, and fertilizer savings.Article History: Received November 15th 2016; Received in revised form January 16th 2017; Accepted February 2nd 2017; Available onlineHow to Cite This Article: Haryanto, A., Cahyani, D., Triyono, S., Murdapa, F., and Haryono, D. (2017) Economic Benefit and Greenhouse Gas Emission Reduction Potential of A Family-Scale Cowdung Anaerobic Biogas Digester. International Journal of Renewable Energy Development 6(1), 29-36.http://dx.doi.org/10.14710/ijred.6.1.29-36

scholarly journals Direct dimethyl carbonate synthesis from CO2 and methanol catalyzed by CeO2 and assisted by 2-cyanopyridine: a cradle-to-gate greenhouse gas emission study

2021 ◽  
Author(s):  
Hajime Ohno ◽  
Mahdi Ikhlayel ◽  
Masazumi Tamura ◽  
Kenji Nakao ◽  
Kimihito Suzuki ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Process Simulation ◽  
Emission Reduction ◽  
Dimethyl Carbonate ◽  
Greenhouse Gas Emission ◽  
Ghg Emission ◽  
Gas Emission ◽  
Cradle To Gate ◽  
Emission Study ◽  
Dehydration Agent

Rigorous process simulation helps in the qualification of direct CO2 to DMC conversion co-assisted by a catalyst and dehydration agent in GHG emission reduction.

Sign in / Sign up

Export Citation Format

Share Document