Energy is one of the primary inputs in textile processing industries that have a significant impact on the cost of a cotton product. The energy cost-share is reported between 5-10% of the total production cost of woven cotton fabric in textile factories of developed countries. However, it is far higher in developing countries. This study aims to contribute to the understanding of energy use and...

background: in this study, we examined the status of korean women’s alcohol consumption and identified the physical changes they undergo according to the level of consumption. the results of this study may thus be used as raw data to effectively control women’ drinking habits. methods: this study consists of a secondary analysis using data from female participants in the 6 th korea national hea...

the aim of this study was investigation the energy flow and global warming potential (gwp) of corn farm in gorgan city. for this purpose, data were collected from three conventional planting methods (spring planting, summer planting in wheat residue and summer planting without wheat residue) by using a face-to-face questionnaire performed with farmers in summer 2012. after the required data in ...

With energy resource scarcity and energy crisis in the world, energy efficiency has become a subject of great importance. In warm and humid climates as well as cold and mountainous ones, annual energy consumption is too high to achieve desirable living conditions in built environments, and hence energy efficiency measures and practices in such buildings is of utmost priority. Given the direct r...

Energy consumption share in construction part and dependent industries is about 40 percent of total energy consuming in Iran which is significant compared to other industries such as transportation, agriculture and therefore is of important. As energy consumption reduction and material durability improvement leads to cost reduction from one hand and environment pollution reduction on the othe...

in this study greenhouse tomato production was investigated from energy consumption and greenhouse gas (ghg) emission point of views. moreover, artificial neural networks (anns) and adaptive neuro-fuzzy inference systems (anfis) were employed to model energy consumption for greenhouse tomato production. total energy input and output were calculated as 1316.14 and 281.1 gj/ha. among the all ener...