scholarly journals Location-specific co-benefits of carbon emissions reduction from coal-fired power plants in China

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Pu Wang ◽  
Cheng-Kuan Lin ◽  
Yi Wang ◽  
Dachuan Liu ◽  
Dunjiang Song ◽  
...  
Keyword(s):  
Power Plants ◽  
Global Climate ◽  
Interdisciplinary Approach ◽  
Carbon Price ◽  
Emissions Reduction ◽  
Climate Mitigation ◽  
National Interests ◽  
Carbon Emissions Reduction ◽  
Reduce Emissions ◽  
Facility Level

AbstractClimate policies that achieve air quality co-benefits can better align developing countries’ national interests with global climate mitigation. Since the effects of air pollutants are highly dependent on source locations, spatially nuanced policies are crucial to maximizing the achievement of co-benefits. Using the coal power industry as a case study, this study presents an interdisciplinary approach to assessing facility level co-benefits at every specific source location in China. We find that co-benefits range from US$51-$278 per ton CO2 reduction nationwide and are highly heterogeneous spatially, with “hotspot” regions that should be the priority of emissions reduction policies, and that provinces should use different techno-economic strategies to reduce emissions. The location-specific co-benefit value plus a carbon price serves as a unified environmental indicator that enables policy makers to more accurately understand the social costs of electricity generation from coal burning and provides a scientific framework for geographically nuanced policymaking.

The Thinking of Carbon Emissions Reduction Path under the Current Conditions of our Country - Based on the Comparison and Analysis of Carbon Trading and Carbon Tax

2013 ◽  
Vol 807-809 ◽  
pp. 1070-1074
Author(s):  
De Xin Guo ◽  
Qun Xu
Keyword(s):  
Fossil Fuels ◽  
Carbon Tax ◽  
Global Climate ◽  
Internal Conflict ◽  
Emissions Reduction ◽  
Carbon Trading ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Emissions Reduction ◽  
Global Transition

In the 21st century, with the increasingly serious global climate problems, reducing greenhouse gas emissions and achieve the global transition to a low-carbon economy, has gradually become the consensus of all countries in the world. And our country as the largest developing country and also is highly depend on fossil fuels, how to give attention to both promote the economic development, to meet people's growing material and cultural needs and protect the environment comprehensive energy conservation and emissions reduction between the internal conflict, is the problem which our country must seriously face and solve. This article will introduce the carbon trading and carbon tax and combined with the current China's national condition analysis the path choice of implementation of carbon emission reduction work in China.

Valuation of CO2 Emissions Reduction from Renewable Energy and Energy Efficiency Projects in Africa: A Case Study of Burkina Faso

2021 ◽  
Vol 10 (4) ◽  
pp. 713-729
Author(s):  
Rice Verouska Nono Seutche ◽  
Marie Sawadogo ◽  
Firmin Nkamleu Ngassam
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Burkina Faso ◽  
Co2 Emissions ◽  
Carbon Price ◽  
Emissions Reduction ◽  
Baseline Scenario ◽  
African Countries ◽  
The Sustainable Development ◽  
Carbon Emissions Reduction

Burkina Faso like many other African countries hosts many renewable energy (RE) and energy efficiency (EE) projects that are not registered to the clean development mechanism (CDM), but which could represent potential CDM opportunities. This study seeks to determine these projects’ impact on the level of CO2 emissions in the country, and to determine their CDM potential by quantifying their carbon emissions reduction, using approved CDM methodologies adapted to the projects. 21 RE projects and 7 EE projects were considered, and all proven to be additional. Results revealed that, 68709.424 MWh and 9430.446MWh were saved and displaced by the EE and RE projects respectively annually, accounting for 48157.668 tCO2e emissions reduced annually. This accounts for a 63.12% emissions reduction from the baseline scenario and represents a huge potential for the CDM, ready to be harnessed. The total amount of emissions reduced could generate about 48157.668 Certified Emissions Reduction (CERs) yearly. Considering a carbon price of $10/tCO2e and a 10-year fixed crediting period starting from 2020 would imply a total revenue of $4815766.8 in 2030 from the CERs , which will increase the sector’s attractiveness to investors. Policies promoting the registration of these projects to the CDM are essential to boost the development of more of such projects in the country/ region, which will benefit from the sustainable development the CDM offers, while contributing to the achievement of its Intended Nationally Determined Contributions.

scholarly journals A MULTI-MODEL ANALYSIS OF THE REGIONAL AND SECTORAL ROLES OF BIOENERGY IN NEAR- AND LONG-TERM CO2 EMISSIONS REDUCTION

2013 ◽  
Vol 04 (04) ◽  
pp. 1340014 ◽  
Author(s):  
KATHERINE CALVIN ◽  
MARSHALL WISE ◽  
DAVID KLEIN ◽  
DAVID McCOLLUM ◽  
MASSIMO TAVONI ◽  
...  
Keyword(s):  
Global Climate ◽  
Emissions Reduction ◽  
Climate Mitigation ◽  
Mixed Effect ◽  
Regional Patterns ◽  
Climate Policies ◽  
Supply Potential ◽  
Bioenergy Feedstocks ◽  
Near Term

This paper examines the near- and the long-term contribution of regional and sectoral bioenergy use in response to both regionally diverse near-term policies and longer-term global climate change mitigation policies. The use of several models provides a source of heterogeneity in terms of incorporating uncertain assumptions about future socioeconomics and technology, as well as different paradigms for how different regions and major economies of the world may respond to climate policies. The results highlight the heterogeneity and versatility of bioenergy itself, with different types of resources and applications in several energy sectors. In large part due to this versatility, the contribution of bioenergy to climate mitigation is a robust response across all models. Regional differences in bioenergy consumption, however, highlight the importance of assumptions about trade in bioenergy feedstocks and the influence of energy and climate policies. When global trade in bioenergy is possible, regional patterns of bioenergy use follow global patterns. When trade is assumed not to be feasible, regions with high bioenergy supply potential tend to consume more bioenergy than other regions. Energy and climate policies, such as renewable energy targets, can incentivize bioenergy use, but specifics of the policies will dictate the degree to which this is true. For example, renewable final energy targets, which include electric and non-electric renewable sources, increase bioenergy use in all models, while electric-only renewable targets have a mixed effect on bioenergy use across models.

scholarly journals Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 811
Author(s):  
Yaqin Hu ◽  
Yusheng Shi
Keyword(s):  
Power Plant ◽  
Co2 Emissions ◽  
Atmospheric Carbon Dioxide ◽  
Power Plants ◽  
Large Scale ◽  
Global Climate ◽  
Gaussian Model ◽  
Point Sources ◽  
Emission Inventories ◽  
Bottom Up

The concentration of atmospheric carbon dioxide (CO2) has increased rapidly worldwide, aggravating the global greenhouse effect, and coal-fired power plants are one of the biggest contributors of greenhouse gas emissions in China. However, efficient methods that can quantify CO2 emissions from individual coal-fired power plants with high accuracy are needed. In this study, we estimated the CO2 emissions of large-scale coal-fired power plants using Orbiting Carbon Observatory-2 (OCO-2) satellite data based on remote sensing inversions and bottom-up methods. First, we mapped the distribution of coal-fired power plants, displaying the total installed capacity, and identified two appropriate targets, the Waigaoqiao and Qinbei power plants in Shanghai and Henan, respectively. Then, an improved Gaussian plume model method was applied for CO2 emission estimations, with input parameters including the geographic coordinates of point sources, wind vectors from the atmospheric reanalysis of the global climate, and OCO-2 observations. The application of the Gaussian model was improved by using wind data with higher temporal and spatial resolutions, employing the physically based unit conversion method, and interpolating OCO-2 observations into different resolutions. Consequently, CO2 emissions were estimated to be 23.06 ± 2.82 (95% CI) Mt/yr using the Gaussian model and 16.28 Mt/yr using the bottom-up method for the Waigaoqiao Power Plant, and 14.58 ± 3.37 (95% CI) and 14.08 Mt/yr for the Qinbei Power Plant, respectively. These estimates were compared with three standard databases for validation: the Carbon Monitoring for Action database, the China coal-fired Power Plant Emissions Database, and the Carbon Brief database. The comparison found that previous emission inventories spanning different time frames might have overestimated the CO2 emissions of one of two Chinese power plants on the two days that the measurements were made. Our study contributes to quantifying CO2 emissions from point sources and helps in advancing satellite-based monitoring techniques of emission sources in the future; this helps in reducing errors due to human intervention in bottom-up statistical methods.

scholarly journals Agroforestry to Achieve Global Climate Adaptation and Mitigation Targets: Are South Asian Countries Sufficiently Prepared?

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 303
Author(s):  
Shalini Dhyani ◽  
Indu K Murthy ◽  
Rakesh Kadaverugu ◽  
Rajarshi Dasgupta ◽  
Manoj Kumar ◽  
...  
Keyword(s):  
South Asia ◽  
South Asian ◽  
Climate Adaptation ◽  
Global Climate ◽  
Well Being ◽  
Agroforestry Systems ◽  
Climate Mitigation ◽  
Asian Countries ◽  
Implementation Phase ◽  
Adaptation And Mitigation

Traditional agroforestry systems across South Asia have historically supported millions of smallholding farmers. Since, 2007 agroforestry has received attention in global climate discussions for its carbon sink potential. Agroforestry plays a defining role in offsetting greenhouse gases, providing sustainable livelihoods, localizing Sustainable Development Goals and achieving biodiversity targets. The review explores evidence of agroforestry systems for human well-being along with its climate adaptation and mitigation potential for South Asia. In particular, we explore key enabling and constraining conditions for mainstreaming agroforestry systems to use them to fulfill global climate mitigation targets. Nationally determined contributions submitted by South Asian countries to the United Nations Framework Convention on Climate Change acknowledge agroforestry systems. In 2016, South Asian Association for Regional Cooperation’s Resolution on Agroforestry brought consensus on developing national agroforestry policies by all regional countries and became a strong enabling condition to ensure effectiveness of using agroforestry for climate targets. Lack of uniform methodologies for creation of databases to monitor tree and soil carbon stocks was found to be a key limitation for the purpose. Water scarcity, lack of interactive governance, rights of farmers and ownership issues along with insufficient financial support to rural farmers for agroforestry were other constraining conditions that should be appropriately addressed by the regional countries to develop their preparedness for achieving national climate ambitions. Our review indicates the need to shift from planning to the implementation phase following strong examples shared from India and Nepal, including carbon neutrality scenarios, incentives and sustainable local livelihood to enhance preparedness.

scholarly journals An Examination of Green Credit Promoting Carbon Dioxide Emissions Reduction: A Provincial Panel Analysis of China

2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li
Keyword(s):  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Emissions Reduction ◽  
Green Finance ◽  
Carbon Emissions Reduction ◽  
Negative Effect ◽  
Emissions Intensity ◽  
The Impact

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.

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