scholarly journals Low Carbon Agriculture and GHG Emission Reduction in China: An Analysis of Policy Perspective

2018 ◽  
Vol 08 (03) ◽  
pp. 538-556
Author(s):  
Xiangsheng Dou
Keyword(s):  
Emission Reduction ◽  
Low Carbon ◽  
Ghg Emission ◽  
Policy Perspective

Costs and Benefits of the Transition to Low-carbon Economyin Russia: Perspectives up to 2050

2014 ◽  
pp. 70-91 ◽  
Author(s):  
I. Bashmakov ◽  
A. Myshak
Keyword(s):  
Emission Reduction ◽  
High Probability ◽  
Ghg Emissions ◽  
Mitigation Measures ◽  
Low Carbon ◽  
Costs And Benefits ◽  
Ghg Emission ◽  
Research Groups ◽  
Emissions Mitigation ◽  
Very High

This paper investigates costs and benefits associated with low-carbon economic development pathways realization to the mid XXI century. 30 scenarios covering practically all “visions of the future” were developed by several research groups based on scenario assumptions agreed upon in advance. It is shown that with a very high probability Russian energy-related GHG emissions will reach the peak before 2050, which will be at least 11% below the 1990 emission level. The height of the peak depends on portfolio of GHG emissions mitigation measures. Efforts to keep 2050 GHG emissions 25-30% below the 1990 level bring no GDP losses. GDP impact of deep GHG emission reduction - by 50% of the 1990 level - varies from plus 4% to minus 9%. Finally, very deep GHG emission reduction - by 80% - may bring GDP losses of over 10%.

scholarly journals Abatement cost for selectivity negative emissions technology in power plant Indonesia with aim/end-use model

2021 ◽  
Vol 894 (1) ◽  
pp. 012011
Author(s):  
Z D Nurfajrin ◽  
B Satiyawira
Keyword(s):  
Emission Reduction ◽  
Energy Demand ◽  
Reduction Potential ◽  
Abatement Cost ◽  
Energy Sector ◽  
Cost Curve ◽  
Baseline Scenario ◽  
Low Carbon ◽  
Ghg Emission ◽  
End Use

Abstract The Indonesian government has followed up the Paris Agreement with Law No. 16 of 2016 by setting an ambitious emission reduction target of 29% by 2030, and this figure could even increase to 41% if supported by international assistance. In line with this, mitigation efforts are carried out in the energy sector. Especially in the energy sector, it can have a significant impact when compared to other sectors due to an increase in energy demand, rapid economic growth, and an increase in living standards that will push the rate of emission growth in the energy sector up to 6. 7% per year. The bottom-up AIM/end-use energy model can select the technologies in the energy sector that are optimal in reducing emissions and costs as a long-term strategy in developing national low-carbon technology. This model can use the Marginal Abatement Cost (MAC) approach to evaluate the potential for GHG emission reductions by adding a certain amount of costs for each selected technology in the target year compared to the reference technology in the baseline scenario. In this study, three scenarios were used as mitigation actions, namely CM1, CM2, CM3. The Abatement Cost Curve tools with an assumed optimum tax value of 100 USD/ton CO2eq, in the highest GHG emission reduction potential, are in the CM3 scenario, which has the most significant reduction potential, and the mitigation costs are not much different from other scenarios. For example, PLTU – supercritical, which can reduce a significant GHG of 37.39 Mtoe CO2eq with an emission reduction cost of -23.66 $/Mtoe CO2eq.

OPTIMIZATION APPROACH FOR GREENHOUSE GAS TO GREEN ENERGY FOR A LOW CARBON REGION OF ISKANDAR MALAYSIA

2015 ◽  
Vol 75 (6) ◽  
Author(s):  
Saeed Isa Ahmed ◽  
Anwar Johari ◽  
Haslenda Hashim ◽  
Ramli Mat ◽  
Jeng Shiun Lim ◽  
...  
Keyword(s):  
Emission Reduction ◽  
Landfill Gas ◽  
Peninsular Malaysia ◽  
Green Energy ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Low Carbon ◽  
Steam Turbines ◽  
Ghg Emission ◽  
Steam Generation

Landfill gas (LFG) like any other greenhouse gases (GHG) is a threat to the environment; hence its mitigation through effective utilization is necessary. The objective of this study is to estimate the amount of LFG captured using IPCC methodology and then develop optimization model for the LFG utilization for green energy production for Iskandar Malaysia. Of the three MSW Scenarios considered, the most appropriate was Scenario MIX, giving projection of MSW to landfill ranging from 600,000 tons in 2010 to 711,000 tons in 2035 for Iskandar Malaysia. From this, a mean annual LFG capture of 21,672 tons was estimated. The Mixed Integer Programing model considered Scenario ST as the more appropriate of the two LFG Scenarios, favoring combined heat and power generation with steam turbines over other options. The optimal result yielded a mean annual electricity and steam generation of 20,588 MWh (2.3 MW) and 150 million MJ respectively. The mean electricity generation represents 0.16% and 0.02% of the maximum electricity demand for Iskandar Malaysia and Peninsular Malaysia respectively. Additionally, GHG emission reduction of 12,000 tons CO2 equivalent was achieved. The findings revealed the potentials in LFG capture from the case study in terms of green energy and GHG emission reduction for sustainable development.

scholarly journals Greenhouse Gas Emissions Analysis Working toward Zero-Waste and Its Indication to Low Carbon City Development

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6644
Author(s):  
Ruixi Zhao ◽  
Lu Sun ◽  
Xiaolong Zou ◽  
Yi Dou
Keyword(s):  
Emission Reduction ◽  
Heat Supply ◽  
Waste Treatment ◽  
Ghg Emissions ◽  
Low Carbon ◽  
Ghg Emission ◽  
City Development ◽  
Zero Waste ◽  
Low Carbon City ◽  
Waste Sector

Low carbon city development and greenhouse gas (GHG) emission mitigation in urban communities are urgent. There is great potential to improve the GHG inventory at the community level. Meanwhile, building zero-waste cities and improving waste treatment efficiency have been significant environmental issues due to the rapid increase of waste generation. This research aims to develop a community-scale GHG emission inventory of the waste sector and improve its accuracy and consistency through applying the bottom-up approach. This study covers both direct and indirect emissions categories of the waste sector with the goal of building a zero-waste community. Honjo Waseda community, located in Japan, was used as a case study community. Energy consumption waste treatment sectors were evaluated and calculated through first-hand field data. GHG emission estimation of the waste sector included waste incineration, residential wastewater, and waste transport. The highest emissions originated from Beisiagate supermarket due to the large waste amount produced, and the CO2-biomass carbon emissions reached approximately 50% of the total emissions. Furthermore, a quantitative analysis of the implementation of new technologies was also conducted. This study created proposals for GHG emission reduction toward a zero-waste community through the comparison of three cases. Case 1 was business as usual; Case 2 proposed a combination of incineration bio-gasification (MBT); Case 3 introduced a combination of solid recovered fuel (SRF) and a bio-gasification system. SRF contributed the most to emission reduction, and Case 3 exhibited the highest energy recovery. Furthermore, comparing the GHG emissions produced by the use of SRF for power generation and heat supply revealed that using SRF as a heat supply reduced more GHG emissions than using SRF for power generation.

scholarly journals ASSESSMENT OF ENERGY TECHNOLOGIES IN ELECTRICITY AND TRANSPORT SECTORS BASED ON CARBON INTENSITY AND COSTS

2013 ◽  
Vol 19 (4) ◽  
pp. 606-620 ◽  
Author(s):  
Dalia Štreimikienė
Keyword(s):  
Emission Reduction ◽  
Electricity Generation ◽  
Ghg Emissions ◽  
Road Transport ◽  
Transport Sector ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Ghg Emission ◽  
Eu Policy ◽  
Energy Technologies

The aim of the paper is to address the EU policy for achieving low carbon economy by assessing energy technologies in electricity and road transport sector based on costs and impact on climate change and to indicate the most competitive electricity and transport technologies taking into account EU policy targets in GHG emission reduction, utilization of renewable and energy efficiency improvements. The main tasks of the paper are: to develop the multi-criteria framework for comparative assessment of energy technologies by applying MCDM methods for the electricity generation and transport technologies assessment. The interval TOPSIS method is employed in order to tackle the uncertain criteria. The assessment framework allows the comparison of electricity generation technologies and road transport technologies in terms of their GHG emission reduction and economic impacts and facilitates decision making process in energy sector seeking to implement EU energy policies. The main indicators selected for technologies assessment are: private costs and life cycle GHG emissions. The ranking of energy technologies based on private costs and GHG emissions allowed prioritizing these technologies taking into account the lowest GHG emission reduction costs.

Russian low carbon development strategy

2020 ◽  
pp. 51-74
Author(s):  
I. A. Bashmakov
Keyword(s):  
Economic Growth ◽  
Development Strategy ◽  
Low Carbon ◽  
Security Risk ◽  
Ghg Emission ◽  
Emission Mitigation ◽  
Russian Economy ◽  
The Russian Federation ◽  
Scenario Projections

The article presents the key results of scenario projections that underpinned the Strategy for long-term low carbon economic development of the Russian Federation to 2050, including analysis of potential Russia’s GHG emission mitigation commitments to 2050 and assessment of relevant costs, benefits, and implications for Russia’s GDP. Low carbon transformation of the Russian economy is presented as a potential driver for economic growth that offers trillions-of-dollars-worth market niches for low carbon products by mid-21st century. Transition to low carbon economic growth is irreversible. Lagging behind in this technological race entails a security risk and technological backwardness hazards.

scholarly journals Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1810
Author(s):  
Kaitong Xu ◽  
Haibo Kang ◽  
Wei Wang ◽  
Ping Jiang ◽  
Na Li
Keyword(s):  
Life Cycle ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Composite Beams ◽  
Total Carbon ◽  
Construction Process ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
The Government

At present, the issue of carbon emissions from buildings has become a hot topic, and carbon emission reduction is also becoming a political and economic contest for countries. As a result, the government and researchers have gradually begun to attach great importance to the industrialization of low-carbon and energy-saving buildings. The rise of prefabricated buildings has promoted a major transformation of the construction methods in the construction industry, which is conducive to reducing the consumption of resources and energy, and of great significance in promoting the low-carbon emission reduction of industrial buildings. This article mainly studies the calculation model for carbon emissions of the three-stage life cycle of component production, logistics transportation, and on-site installation in the whole construction process of composite beams for prefabricated buildings. The construction of CG-2 composite beams in Fujian province, China, was taken as the example. Based on the life cycle assessment method, carbon emissions from the actual construction process of composite beams were evaluated, and that generated by the composite beam components during the transportation stage by using diesel, gasoline, and electric energy consumption methods were compared in detail. The results show that (1) the carbon emissions generated by composite beams during the production stage were relatively high, accounting for 80.8% of the total carbon emissions, while during the transport stage and installation stage, they only accounted for 7.6% and 11.6%, respectively; and (2) during the transportation stage with three different energy-consuming trucks, the carbon emissions from diesel fuel trucks were higher, reaching 186.05 kg, followed by gasoline trucks, which generated about 115.68 kg; electric trucks produced the lowest, only 12.24 kg.

scholarly journals Pulp and Paper Industry: Decarbonisation Technology Assessment to Reach CO2 Neutral Emissions—An Austrian Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Manufacturing Industry ◽  
Paper Industry ◽  
Heat Pumps ◽  
Pulp And Paper ◽  
Low Carbon ◽  
Co2 Emission Reduction

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.

scholarly journals Optimal Pricing Decisions for a Low-Carbon Supply Chain Considering Fairness Concern under Carbon Quota Policy

2021 ◽  
Vol 18 (2) ◽  
pp. 556
Author(s):  
Hao Zou ◽  
Jin Qin ◽  
Bo Dai
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Reduction Rate ◽  
Retail Price ◽  
Low Carbon ◽  
Close Attention ◽  
Carbon Emission Reduction ◽  
Carbon Supply ◽  
Total Profit ◽  
Fairness Concern

This research investigates the effect of fairness concerns on a sustainable low-carbon supply chain (LCSC) with a carbon quota policy, in which a manufacturer is in charge of manufacturing low-carbon products and sells them to a retailer. The demand is affected by price and the carbon emission reduction rate. The optimal decisions of pricing and carbon emission reduction rate are analyzed under four decision models: (i) centralized decision, (ii) decentralized decision without fairness concern, (iii) decentralized decision with manufacturer’s fairness concern, (iv) decentralized decision with retailer’s fairness concern. The results indicate that the profits in the centralized LCSC are higher than those in the decentralized LCSC with fairness concern. If a manufacturer pays close attention to fairness, the fairness concern coefficient will reduce the carbon emission reduction rate and the profit of the LCSC and increase the wholesale price and the retail price of the product. If a retailer pays close attention to fairness, and the preference of consumers for a low-carbon product is low, the fairness concern coefficient of the retailer increases the total profit of the LCSC and decreases the carbon emission reduction rate and retail price of the product. Otherwise, if the preference of consumers for a low-carbon product is great, the fairness concern coefficient of the retailer would lead to a lower retail price compared with the retail price in the centralized decision and decrease the total profit of the LCSC.

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