کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5481553 1399335 2017 41 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of multi-objective genetic algorithms for optimization of energy, economics and environmental life cycle assessment in oilseed production
ترجمه فارسی عنوان
استفاده از الگوریتم های ژنتیک چند منظوره برای بهینه سازی انرژی، اقتصاد و بررسی چرخه زندگی زیست محیطی در تولید روغن دانه
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
In this study a multi-objective genetic algorithm (MOGA) was applied to find the best combination of mixing energy, economic and environmental indices concerning oilseed canola production. Data were collected from oilseed farming enterprises in Mazandaran province of Iran. Life cycle assessment of canola production from cradle to farm gate was investigated to calculate the environmental emissions. Econometric modelling was applied to find the relationship functions between energy inputs and three individual output parameters including environmental emissions, output energy and economic productivity. A multi-objective model was formulated in order to maximise the output energy and benefit to cost ratio, and minimise the final score of environmental emissions in order to obtain a set of Pareto frontier. When applying CML-IA methodology, multi-objective optimization resulted in a 32.1% reduction of the total environmental emissions as well as simultaneous increase of output energy and benefit cost ratio by 24.1% and 14.2%, respectively. More specifically, the reduction of chemicals by 82.2%, nitrogen by 11.1% and other chemical fertilisers by 70.7% would be beneficial from environment, energy and economic viewpoints. This work highlights the usefulness of the implementation of MOGA in agricultural production systems to find an optimized combination of mixing energy, economic and environment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 140, Part 2, 1 January 2017, Pages 804-815
نویسندگان
, , , , , , ,