An IFP Model for Carbon Footprint in Low-Carbon Urban Agglomeration under Uncertainty

2013 ◽  
Vol 663 ◽  
pp. 936-940
Author(s):  
Wen Jin Zhao ◽  
Lun Wang ◽  
Zhao Sun ◽  
Zhuang Li ◽  
Yu Li

This paper corrected the existing optimization model of low-carbon urban agglomeration using interval fuzzy programming (IFP) method and several constraint conditions are revised according to the 12th Five Year Plan of the urban agglomeration. The case study shows that the carbon footprint of per unit GDP of urban agglomeration was decreased by [21.95, 57.32] (%) and energy intensity was reduced by [25.89, 50.81] (%) compared with those in 2010; meanwhile, the carbon footprint of per unit GDP and energy intensity in the core area was reduced by [18.90, 34.67] (%) and [22.36, 22.76] (%) respectively, compared with those in 2010. The optimized scheme complies with the requirements of the 12th Five-Year Planning Outline of Controlling Greenhouse Gas Emission and the regional planning targets. The corrected model also provided more decision-making space for the sustainable development of low-carbon urban agglomeration.

2012 ◽  
Vol 599 ◽  
pp. 211-215
Author(s):  
Lun Wang ◽  
Zhao Sun ◽  
Jing Ya Wen ◽  
Zhuang Li ◽  
Wen Jin Zhao ◽  
...  

This paper developed an optimal model of low-carbon urban agglomeration on the base of energy structure under uncertainty. The case study shows that the carbon intensity was decreased by [32.19, 41.20] (%) and energy intensity was reduced by [34.08, 43.19] (%) compared with those in 2010; meanwhile, the carbon intensity and energy intensity in the core area was reduced by [50.88, 54.11] (%) and [51.24, 54.57] (%) respectively, compared with those in 2010. The optimized scheme could not only meet the requirements of 12th Five-Year Planning Outline of Controlling Greenhouse Gas Emission, but also complied with the requirements of regional planning targets. The established model also provided more decision-making space for the sustainable development of low-carbon urban agglomeration.


2012 ◽  
Vol 610-613 ◽  
pp. 970-974
Author(s):  
Lun Wang ◽  
Zhao Sun ◽  
Zhuang Li ◽  
Wen Jin Zhao ◽  
Yu Li

Based on an urban agglomeration regional planning in 12th Five-Year Planning , selected two indicators of carbon intensity, energy intensity that were required by the regional planning, this paper developed an optimal model of low-carbon urban agglomeration on the base of sustainable development of economy, society and environment. The case study shows that the carbon emission level of urban agglomeration is 1.8×107 tons in 2015, and the carbon intensity was decreased by 19.00% and energy intensity was reduced by 39.17% compared with those in 2010; meanwhile, the carbon intensity and energy intensity in the core area was reduced by 40.00% and 41.86% respectively compared with those in 2010 subject to the conditions of carbon intensity, carbon sink area, energy intensity, GDP and so on. The optimized scheme could not only meet the requirements of carbon intensity decreased by 17.00%, energy intensity reduced by 16.00% in 2015 compared with those in 2010 proposed by 12th Five-Year Planning Outline of Controlling Greenhouse Gas Emission, but also complied with the requirements of carbon intensity decreased by 18.00% and energy intensity reduced by 20.00% of regional planning targets. The established model also provided more decision-making space for the sustainable development of low-carbon urban agglomeration.


2019 ◽  
Vol 142 ◽  
pp. 167-176 ◽  
Author(s):  
Jihwan Park ◽  
Insang Jung ◽  
Wonhee Choi ◽  
Sang Ok Choi ◽  
Sung Won Han

Author(s):  
Syakira Afiqah Suffian ◽  
Atiah Abdullah Sidek ◽  
Toshihiko Matsuto ◽  
Muataz Hazza Al Hazza ◽  
Hazlina Md Yusof ◽  
...  

The aim of this research was to evaluate the level of greenhouse gas emission from broiler chicken farming industry in Malaysia. In order to achieve that, Life Cycle Assessment method was chosen as a framework to complete the task. A case study was conducted at a broiler chicken farm to gather the data and information related to the broiler chicken production. Cradle-to-gate assessment including distribution stage was conducted based on the ISO14040/1044 guidelines. Inventory data for this case study was gathered in collaboration with one of the selected case study broiler chicken farm company. Greenhouse gas emission that consists of several most affected gases such as carbon dioxide, methane and nitrous oxide was studied. Result shows that the highest carbon dioxide emission came from manure, which accounted for 1,665,342 kg CO2 equivalent per total broilers while the highest methane emission came from feed, which accounted for 126,207.84 g CH4 equivalent per total broilers. For nitrous oxide emission, the highest values came from bedding which accounted for 20,316.87 g N2O equivalent per total broilers in the commercial modern broiler chicken farm. In this case study, it can be concluded that manure gives the most prominent effect to the greenhouse gas emission followed by feed and bedding materials. 


2020 ◽  
Vol 10 (23) ◽  
pp. 8381
Author(s):  
Miguel Marco-Fondevila ◽  
José M. Moneva ◽  
Fernando Llena-Macarulla

Companies are gradually becoming conscious about the necessity of reducing their environmental impact and adopting low-carbon strategies in order to cope with increasing institutional and social demands. However, remaining competitive while reducing the environmental impact and improving the corporate image requires adopting sophisticated mechanisms boosting eco-efficiency and keeping costs tight. Material Flows Cost Accounting (MFCA) is an instrument that allows the monitoring of, measurement of, and accounting for physical and monetary processes along the production process. If extended to the supply chain, and applied to the energy usage and CO2 emissions, it allows one to account for the Carbon Footprint (CF) of a company and its products at any given stage of the value chain. The current paper presents a case study developed under the framework of a three-year project to introduce an energy use and carbon emissions monitoring and accounting system in a large winery company in Spain, based on the MFCA approach and CF accountability. Including the supply chain of the company and the whole farming cycle of its main input, the case study presents the method and phases adopted to implement the project, its direct and indirect results and outcomes, and the conclusions that can be extracted, which may be inspirational for practitioners and scholars envisaging similar projects.


Sign in / Sign up

Export Citation Format

Share Document