scholarly journals Kuzbass Economy and Carbon Control Tools

2001 ◽  
Vol 14 (7) ◽  
pp. 1039-1046
Author(s):  
Galina E. Mekush ◽  
◽  
Andrey A. Panov

Kuzbass is a resource-type region. Therefore, any prospective carbon control law is a very relevant issue for this part of Siberia. Carbon control laws aim at meeting the environmental standards set up by the Paris Agreement. For Kuzbass, carbon control means production restrictions and poor competitiveness. The research objective was to assess the potential of Kuzbass economy for the period of climate adaptation. The authors analyze various performance evaluation methods that are used to assess carbon control tools, as well as various scenarios for the development of Russian economy. The analysis shows that Kuzbass demonstrates no orientation towards structural and technological modernization, thus proving unready for the transition to low-carbon economy. Local ecosystems are able to absorb no more than 13 % of greenhouse gas (GHG) emissions, while the economic indicators of the carbon intensity keep decreasing as the growth rates of the gross regional product (GRP) outstrip the consumption of fuel and energy resources. Local decision-makers can be recommended to pay special attention to the implementation rate of the best available technologies, as well as to the replication of the experience of effective climate strategies, including the sector of land use, land use change, and forestry (LULUCF). Carbon polygons and carbon farms can be a promising tool for the development of LULUCF sector, as they will also be able to increase the competitiveness of local companies on the carbon market

2016 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Shih-Feng Tsai

<span lang="EN-US">Aiming at six big emerging economies in the world, namely, China, United States, United Kingdom, Germany, France and Japan, this paper analyzes their carbon emission conditions based on the data of carbon emission, energy consumption and economic development during 1970—2008 from the statistics in the World Development Index Database (WDI) of the World Bank, and carries out empirical analyses based on theories &amp; policies and driving factors of their low carbon economy. It is found that energy intensity, economic growth and urbanization progress exert more remarkable influences on carbon intensity, and the effect of carbon emission reduction depending on government fiancé is not sustainable. Thus, this paper is intended to explain that China needs more actively promoting green sustainable towns with its sustainable development, and developing urban low carbon industries and buildings for more civilized ecological towns.</span>


2021 ◽  
Author(s):  
Brandon Wilbur

Whole-building model optimizations have been performed for a single-detached house in 5 locations with varying climates, electricity emissions factors, and energy costs. The multi-objective optimizations determine the life-cycle cost vs. operational greenhouse gas emissions Pareto front to discover the 30-year life-cycle least-cost building design heated 1) with natural gas, and 2) electrically using a) central air-source heat pump, b) ductless mini-split heat pump c)ground-source heat pump, and d) electric baseboard, accounting for both initial and operational energy-related costs. A net-zero carbon design with grid-tied photovoltaics is also optimized. Results indicate that heating system type influences the optimal enclosure design, and that neither building total energy use, nor space heating demand correspond to GHG emissions across heating system types. In each location, at least one type of all-electric design has a lower life-cycle cost than the optimized gas-heated model, and such designs can mitigate the majority of operational GHG emissions from new housing in locations with a low carbon intensity electricity supply.


2020 ◽  
Vol 12 (7) ◽  
pp. 2982 ◽  
Author(s):  
Edgar Lorenzo-Sáez ◽  
José-Vicente Oliver-Villanueva ◽  
Eloina Coll-Aliaga ◽  
Lenin-Guillermo Lemus-Zúñiga ◽  
Victoria Lerma-Arce ◽  
...  

Buildings have become a key source of greenhouse gas (GHG) emissions due to the consumption of primary energy, especially when used to achieve thermal comfort conditions. In addition, buildings play a key role for adapting societies to climate change by achieving more energy efficiency. Therefore, buildings have become a key sector to tackle climate change at the local level. However, public decision-makers do not have tools with enough spatial resolution to prioritise and focus the available resources and efforts in an efficient manner. The objective of the research is to develop an innovative methodology based on a geographic information system (GIS) for mapping primary energy consumption and GHG emissions in buildings in cities according to energy efficiency certificates. The developed methodology has been tested in a representative medium-sized city in Spain, obtaining an accurate analysis that shows 32,000 t of CO2 emissions due to primary energy consumption of 140 GWh in residential buildings with high spatial resolution at single building level. The obtained results demonstrate that the majority of residential buildings have low levels of energy efficiency and emit an average of 45 kg CO2/m2. Compared to the national average in Spain, this obtained value is on the average, while it is slightly better at the regional level. Furthermore, the results obtained demonstrate that the developed methodology is able to directly identify city districts with highest potential for improving energy efficiency and reducing GHG emissions. Additionally, a data model adapted to the INSPIRE regulation has been developed in order to ensure interoperability and European-wide application. All these results have allowed the local authorities to better define local strategies towards a low-carbon economy and energy transition. In conclusion, public decision-makers will be supported with an innovative and user-friendly GIS-based methodology to better define local strategies towards a low-carbon economy and energy transition in a more efficient and transparent way based on metrics of high spatial resolution and accuracy.


2014 ◽  
Vol 962-965 ◽  
pp. 2289-2295
Author(s):  
Fa Wang Ma ◽  
Ke Chen ◽  
Feng Li Dong ◽  
Tian Kuang ◽  
Zhi Zhang ◽  
...  

Agricultural producing activity is one of the emission sources of greenhouse gases, and carbon footprint is a new concept emerging in the context of developing low-carbon economy. In this paper, the agricultural carbon footprint in Liaoning Province was calculated and analyzed with carbon footprint method. According to the results, carbon cost caused by the application of chemical fertilizer and land irrigation, as well as the application of diesel oil in agricultural machinery takes up a high percentage in the input carbon footprint, and the total carbon footprint increases year by year. The carbon intensity calculated in unit output occurs in a declining trend, while the carbon intensity calculated in unit cultivated area fluctuates constantly in a small range, and the carbon efficiency occurs in evident increasing trend. Finally, deficiencies of the study and problems that should be further discussed were proposed.


Subject European Green Deal. Significance The European Green Deal seeks to transform the EU to a low-carbon economy. It proposes radical change in the way goods and services are produced and consumed. While based on a level playing field for all actors within the EU, it implies much greater state regulation of economic and social activities with the aim of achieving net zero greenhouse gas (GHG) emissions by 2050. Impacts The Green Deal’s adoption would increase the likelihood of environmental criteria becoming more prominent in trade policy. The mobilisation of additional public sector funds implies rising debt levels on top of the expenditure relating to COVID-19. COVID-19 will delay EU and member state scrutiny and ratification of the Green Deal components.


Author(s):  
Karen Alvarenga Oliveira

This chapter examines the climate change policy of Brazil. In 2010 at the Sixteenth Conference of Parties in Cancún, Brazil announced its voluntary national target of significantly reducing greenhouse gas (GHG) emissions between 36.1 per cent and 38.9 per cent of projected emissions by 2020. These targets were defined in the Brazilian National Policy on Climate Change (PNMC). The PNMC establishes principles, guidelines, and economic instruments for reaching the national voluntary targets. It relies on sectoral plans for mitigation and adaptation to climate change in order to facilitate the move towards a low-carbon economy. The PNMC defined various aspects related to the measurement of goals, formulation of sectoral plans and of action plans for the prevention and control of deforestation in all Brazilian biomes, and governance structure.


Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4251
Author(s):  
Sheng Yang ◽  
Timothy Volk ◽  
Marie-Odile Fortier

Few life cycle assessments (LCAs) on willow biomass production have investigated the effects of key geographically specific parameters. This study uses a spatial LCA model for willow biomass production to determine spatially explicit greenhouse gas (GHG) emissions and energy return on investment (EROI), including land use conversion from pasture and cropland or grassland. There were negative GHG emissions on 92% of the land identified as suitable for willow biomass production, indicating this system’s potential for climate change mitigation. For willow planted on cropland or pasture, life cycle GHG emissions ranged from −53.2 to −176.9 kg CO2eq Mg-1. When willow was grown on grassland the projected decrease in soil organic carbon resulted in a slightly positive GHG balance. Changes in soil organic carbon (SOC) associated with land use change, transportation distance, and willow yield had the greatest impacts on GHG emissions. Results from the uncertainty analysis exhibited large variations in GHG emissions between counties arising from differences in these parameters. The average EROI across the entire region was 19.2. Willow biomass can be a carbon negative or low-carbon energy source with a high EROI in regions with similar infrastructure, transportation distances, and growing conditions such as soil characteristics, land cover types, and climate.


2021 ◽  
Author(s):  
Devashree Saha ◽  
Greg Carlock ◽  
Rajat Shrestha ◽  
John Feldmann ◽  
Haley Leslie-Bole

This working paper identifies key climate policies and investments and estimates their emissions-reduction potential and associated costs, which can enable the United States to reduce economy-wide greenhouse gas (GHG) emissions by 50–52% compared to 2005 levels by 2030 and reach net-zero GHG emissions by midcentury, the goals set by the Biden administration.


2021 ◽  
Author(s):  
Lubna Al-Tameemi

Whole building optimization retrofits have been performed for two townhouses in four locations with different climates to find both energy efficiency and cost-effective retrofit solutions across a thirty-year time span analysis. The objective is to find deep energy retrofit packages that can be used for large scale social housing retrofit. The multi-objective optimizations aim to achieve the least annualized related costs, lower initial and operational energy related costs and substantial carbon savings by analyzing one natural gas heated option and four electric heated options (baseboard heating system, central air-source heat pump, ductless mini-split heat pump and ground-source heat pump). Results reveal that prescriptive deep energy retrofit solutions achieved between 78% to 100% site energy reductions through building enclosures improvement, upgrades of HVAC and water heating systems, upgrades of appliances and lighting, and the addition of onsite renewable energy generation. Results also indicate that ductless mini-split heat pump (MSHP) optimized model has lower long-term costs and a shorter modified payback period than the optimized gas-heated model at all locations; thus suggesting that heating electrification is cost effective and can reduce the majority of operational GHG emissions of existing housing stock in locations with low carbon intensity electric grid. (834KB) https://digital.library.ryerson.ca/islandora/object/RULA:8613/datastream/Calc_Lubna/view (284KB) https://digital.library.ryerson.ca/islandora/object/RULA:8613/datastream/AnAl_Lubna/view (4 MB) https://digital.library.ryerson.ca/islandora/object/RULA:8613/datastream/AnHr_Lubna/view (5MB) https://digital.library.ryerson.ca/islandora/object/RULA:8613/datastream/Wind_Lubna/view (6MB) https://digital.library.ryerson.ca/islandora/object/RULA:8613/datastream/Toro_Lubna/view (6MB) https://digital.library.ryerson.ca/islandora/object/RULA:8613/datastream/Thby_Lubna/view (6MB) https://digital.library.ryerson.ca/islandora/object/RULA:8613/datastream/Otta_Lubna/view


Sign in / Sign up

Export Citation Format

Share Document