Optimization of energy required and greenhouse gas emissions analysis for orange producers using data envelopment analysis approach

2014 ◽  
Vol 65 ◽  
pp. 311-317 ◽  
Author(s):  
Ashkan Nabavi-Pelesaraei ◽  
Reza Abdi ◽  
Shahin Rafiee ◽  
Hassan Ghasemi Mobtaker
2020 ◽  
Author(s):  
Adel Vahedi ◽  
Zahra Yousefi ◽  
Ahmad Sharifi Malvajerdi

Abstract The present study has been conducted to investigate the energy consumption pattern, the economic analysis of production and assessing the greenhouse gas emissions (GHG) resulting from the production of rice in the Mazandaran province. The input and output energies were calculated and energy indices were determined. The efficiency of the rice farms and the optimization of energy consumption were estimated by using data envelopment analysis (DEA) method and the amount of greenhouse gas emissions was determined after improving the consumption of inputs. Results showed, the total energies of consumed inputs and outputs for the production of paddy were calculated to be 91061.5 and 100967.95 MJ ha-1, respectively. The energy input of diesel fuel, machinery and chemical fertilizers were determined to be 41.27%, 19.63% and 19.58% of the total energy inputs, representing the most highly consumed energy inputs in the production of paddy.


Energy ◽  
2017 ◽  
Vol 120 ◽  
pp. 652-662 ◽  
Author(s):  
Homa Hosseinzadeh-Bandbafha ◽  
Dariush Safarzadeh ◽  
Ebrahim Ahmadi ◽  
Ashkan Nabavi-Pelesaraei ◽  
Ehssan Hosseinzadeh-Bandbafha

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5898
Author(s):  
Magdalena Ziolo ◽  
Sandra Jednak ◽  
Gordana Savić ◽  
Dragana Kragulj

The growing risk of climate change caused by the emission of greenhouse gases poses new challenges to contemporary countries. The development of economies is usually related to increasing levels of greenhouse gas emissions. Therefore, the question arises whether it is possible to achieve sustainable economic and financial development and simultaneously reduce greenhouse gas emissions. This paper assumes it is possible if energy efficiency is increased. The aim of the paper is to show the link between energy efficiency and sustainable economic and financial development in Organisation for Economic Co-operation and Development (OECD) countries for the period 2000–2018 by using data envelopment analysis (DEA) and regression analysis. The results show a slight upward trend of total factor energy efficiency (TFEE) in OECD countries for the analysed period; however, there is a difference in TFEE levels. Developed OECD countries have higher TFEE levels than developing OECD countries. The links between total factor energy efficiency and sustainable economic and financial development reveal different impacts depending on the variables taken into consideration.


2020 ◽  
Author(s):  
adel Vahedi ◽  
zahra yousefi

Abstract The present study has been done with the aim of investigating the energy consumption pattern, the economic analysis of production and assessing the greenhouse gas emissions (GHG) resulting from the production of rice in the Mazandaran province. The input and output energies were calculated and energy indices were determined. The efficiency of the rice farms and the optimization of energy consumption were estimated by using Data Envelopment Analysis (DEA) method and the amount of greenhouse gas emissions was determined after improving the consumption of inputs. According to the results, the total energies of consumed inputs and outputs for the production of paddy were calculated to be 91,061.5 and 100,967.95 MJ ha-1, respectively. The energy input of diesel fuel, machinery and chemical fertilizers were determined to be 41.27%, 19.63% and 19.58% out of the total energy inputs, representing the most highly consumed energy inputs in the production of paddy.


2020 ◽  
Vol 12 (17) ◽  
pp. 6838
Author(s):  
Elly Mertens ◽  
Sander Biesbroek ◽  
Marcela Dofková ◽  
Lorenza Mistura ◽  
Laura D’Addezio ◽  
...  

Meat replacers could play a role in achieving more plant-based diets, but their current consumption is limited. The present modelling study aimed to explore the nutritional and greenhouse gas emissions impacts of meat replacers. Using dietary surveys from Denmark, Czech Republic, Italy and France (~6500 adults), we composed alternative diets in which all the meat in the observed diet (in grams) was substituted by similar use meat replacers (with and without fortification). Starting from the observed diets and meat-replacement diets, diets with improved adherence to food-based dietary guidelines (FBDGs) were modelled using Data Envelopment Analysis. These improved diets were then further optimised for dietary preferences (MaxP, diet similarity index), nutrient quality (MaxH, Nutrient Rich Diet score, NRD15.3) or diet-related greenhouse gas emissions (GHGE) (MaxS, CO2 equivalents). In all optimised modelled diets, the total amount of meat was lower than in the observed diets, i.e., 30% lower in the MaxP, 50% lower in the MaxH, and 75% lower in the MaxS diets. In the MaxP diet, NRD15.3 was ~6% higher, GHGE was ~9% lower, and ~83% of food intake remained similar. In the MaxH diet, NRD15.3 was ~17% higher, GHGE was ~15% lower, and ~66% of food intake remained similar. In the MaxS diet, NRD15.3 was ~9% higher, GHGE was ~33% lower, and ~65% of food intake remained similar. When using fortified meat replacers, for all modelled diets, the diet similarity was on average 2% lower and the GHGE reduction was on average 3% higher as compared with the same scenarios without fortification. This analysis showed that meat replacers, provided their preference is similar to meat, can provide benefits for GHGE, without necessarily compromising nutrient quality.


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