scholarly journals Decarbonizing Space and Water Heating in Temperate Climates: The Case for Electrification

Atmosphere ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 435 ◽  
Author(s):  
Imran Sheikh ◽  
Duncan Callaway
Keyword(s):  
Energy Efficiency ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Fossil Fuels ◽  
Low Carbon ◽  
Synthetic Natural Gas ◽  
Carbon Reduction ◽  
Direct Combustion ◽  
Reduce Emissions ◽  
Heating Loads

In order to meet ambitious carbon reduction goals, direct combustion of fossil fuels in homes will need to largely cease. The largest portion of this reduction will likely come from energy efficiency, but efficiency alone will not be sufficient. In this paper we look specifically at California and build the case for why energy efficiency with electrification of heating is the most likely path to achieve the large carbon emission reduction needed from this sector. We examine alternative decarbonization strategies, such as solar thermal, biogas, synthetic natural gas and electrification and show why electrification is the most promising path. We evaluate these options across the dimensions of scale, cost, and suitability. We find that, while electrification has the potential to serve all heating loads, the other low-carbon options may serve only 2–70% of loads. We also expect that electrification could reduce emissions from this sector at a cost 25–90+% less than other options.

Estimating Carbon Emission of Tourism Transportation and Accommodation in China

2014 ◽  
Vol 962-965 ◽  
pp. 1327-1331
Author(s):  
Zhong Hong Yang ◽  
Yang Yang ◽  
Xiao Hui Chen
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Fossil Fuels ◽  
Ghg Emissions ◽  
Civil Aviation ◽  
Low Carbon ◽  
Great Demand

The tourism’s growing consumption of energy, especially in transportation and accommodation, and its great demand on fossil fuels has important implications for GHG emissions. From the perspective of low carbon and emission reduction, the paper discussed the carbon emission of China’s tourism. Based on the previous studies, the paper calculated carbon emission of 31 Chinese provinces from tourism transportation and accommodation. The results show that: 1) Tourism transportation contributes most to carbon emission, accounting for 89.4% of the total, while tourism accommodation accounts for 10.6%. 2) In terms of transportation, civil aviation contributes most, accounting for 44.71% of the carbon emission of tourism transportation. 3) In terms of accommodation, three-star hotels contribute most, accounting for 45.3% of the carbon emission of tourism accommodation. 4) Cities of Guangzhou, Beijing and Shanghai make the largest contribution to the carbon emission among 31 provinces. Based on the above, it is reasonable that Tourism Sectors should make targeted policies to promote the development of low-carbon tourism according to the structure of tourism transportation and accommodation.

scholarly journals Equilibrium between Road Traffic Congestion and Low-Carbon Economy: A Case Study from Beijing, China

2019 ◽  
Vol 11 (1) ◽  
pp. 219 ◽  
Author(s):  
Shuxia Yang ◽  
Yu Ji ◽  
Di Zhang ◽  
Jing Fu
Keyword(s):  
Carbon Emissions ◽  
Traffic Congestion ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Road Traffic ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Reduction ◽  
Road Traffic Congestion ◽  
Carbon Economy

China has allocated low-carbon targets into all regions and trades, and road traffic also has its own emission reduction targets. Congestion may increase carbon emissions from road traffic. It is worthwhile to study whether it is possible to achieve the goal of road traffic reduction by controlling congestion; that is, to achieve the equilibrium between traffic congestion and a low-carbon economy. The innovation of this paper is mainly reflected in the innovative topic selection, the introduction of a traffic index, and the establishment of the first traffic congestion and low-carbon economic equilibrium model. First, the relevant calculation method of the traffic index is introduced, and the traffic index is used to quantify the traffic congestion degree. Using the traffic index, GDP, and road passenger traffic volume, a nonlinear regression model of road traffic carbon emissions is constructed. Then, the calculation method of the carbon emission intensity of road traffic in the region is proposed. The equilibrium model of traffic congestion and a low-carbon economy is constructed to look for the degree of road traffic congestion that may occur under the permitted carbon emission intensity. Taking Beijing, where electric vehicles account for less than 3% of the total vehicles, as an example, it is difficult to achieve the equilibrium target between road traffic congestion and a low-carbon economy by alleviating traffic congestion in 2020. If the target of traffic carbon emission reduction in 2020 is adjusted from 40%–45% to 19.7% based on 2005, the equilibrium will be achieved. A negative correlation between road traffic carbon emissions and the reciprocal of the traffic index (1/TI) is found after eliminating the effects of GDP and PTV (road passenger traffic volume). As the traffic index decreases by units, the carbon emission reduction accelerates. The results show that carbon reduction targets cannot be simply allocated to various industries. The results of the research on the degree of the impact of traffic congestion on carbon emissions can be used as a basis for carbon reduction decisions of the traffic sector. The research method of this paper can provide a reference for the study of the equilibrium of traffic congestion and a low-carbon economy in other regions.

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 Consumer willingness-to-pay for restaurant surcharges to reduce carbon emissions: default and information effects

2021 ◽  
pp. 1-29
Author(s):  
Dede Long ◽  
Grant H. West ◽  
Rodolfo M. Nayga
Keyword(s):  
Climate Change ◽  
Willingness To Pay ◽  
Contingent Valuation ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Dichotomous Choice ◽  
Carbon Reduction ◽  
The Mean ◽  
Agriculture And Food

Abstract The agriculture and food sectors contribute significantly to greenhouse gas emissions. About 15 percent of food-related carbon emissions are channeled through restaurants. Using a contingent valuation (CV) method with double-bounded dichotomous choice (DBDC) questions, this article investigates U.S. consumers’ willingness to pay (WTP) for an optional restaurant surcharge in support of carbon emission reduction programs. The mean estimated WTP for a surcharge is 6.05 percent of an average restaurant check, while the median WTP is 3.64 percent. Our results show that individuals have a higher WTP when the surcharge is automatically added to restaurant checks. We also find that an information nudge—a short climate change script—significantly increases WTP. Additionally, our results demonstrate that there is heterogeneity in treatment effects across consumers’ age, environmental awareness, and economic views. Our findings suggest that a surcharge program could transfer a meaningful amount of the agricultural carbon reduction burden to consumers that farmers currently shoulder.

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.

scholarly journals Analysis of total carbon emission of the logistics industry in Guangdong and solutions to emission reduction

2021 ◽  
Vol 245 ◽  
pp. 01020
Author(s):  
Aixia Xu ◽  
Xiaoyong Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Utilization ◽  
Total Carbon ◽  
Utilization Rate ◽  
Low Carbon ◽  
Logistics Industry ◽  
Direct Energy ◽  
Reduce Emissions

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.

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