Let $G=(V,E)$ be a simple graph. The energy of $G$ isthe sum of absolute values of the eigenvalues of its adjacencymatrix $A(G)$.In this paper weconsider the edge energy of $G$ (or energy of line of $G$) which is definedas the absolute values of eigenvalues of edge adjacency matrix of $G$. We study the energy for the line of Specific graphs.

This research focuses on the effect of passive methods in the field of energy storage, produce energy by using renewable energies, and also to achieve the construction patterns of residential buildings in the climate conditions of Shiraz, with the aim reducing energy consumption. Statistics show that in Iran, fuel consumption in residential and commercial buildings with an average annual growth of 7. It is about 2.37% of the country's total fuel consumption. One way to minimize energy consumption in this sector is to increase the role of zero-energy buildings. Zero-energy buildings provide technical ways to consume less energy in buildings. These buildings are designed and built so that all or a large part of these provide the energy they need through the combination of energy saving and the use of renewable energy technology. In this research, after studying the climate condition of the city of Shiraz, a building in the energy Plus software, the simulation and climatic data of the Shiraz station was introduced to the software. To achieve the most optimal conditions of energy consumption in the climatic conditions of Shiraz, each of the building elements Residential was optimized. The simulation shows that it is possible to reduce the energy consumption of the building by using passive building materials and designs, including double-glazed glass, Wall insulation, etc. On the other hand, by using solar energy, using pvsyst software, you can supply the energy needed by the building.

Phenol belongs to the recalcitrant pollutants to conventional physical chemical and biological treatments. These compounds are released in the surface water by a considerable number of industries, constituting an environmental hazard. On the other hand, the advanced oxidation processes (AOPs) have been defined as effective processes for treatment of wastewater containing toxic and persistent organic pollutants. In this work, a mathematical model is developed to quantify the variation of chemical oxygen demand (COD) as a function of time during electrochemical oxidation of phenol for a batch system. Depending on applied current density (iappl) with respect to limiting current density (ilim), which decreased during treatment, different operating regimes were identified. In particular, for high organic concentrations or low current densities (iappl ilim), COD decreased linearly over time, indicating a kinetically controlled process. Conversely, for low organic concentrations or high current densities, electrolysis was under mass-transport control and COD removal followed an exponential trend. Model parameters were: current density, initial phenol concentration and electrode area. The present purpose is to use the model as a design tool for the prediction of Specific energy consumption for the elimination of a given organic loading (kg COD h-1). The results showed that the increase of density and applied potential caused increase of Specific energy consumption of initial phenol concentration decrease in energy consumed. In the mathematical model validation, the model results were compared with experimental results published in the literature. The good agreement between experimental and model predicted data was obtained in all the examined conditions by accounting root mean square error (RMSE) between 0.013-1.22 and R2>0.91.

This study was conducted in order to evaluate and compare Specific fuel consumption and Specific drawbar energy for two similar powers rating tractors but having different structural features (MF285 and ITM750). Measurements were carried out at actual field condition using standard Nebraska and DECD test cods. A split plot design was used based on complete randomized block.Tests were performed on three different working surfaces (concrete, unplowed and plowed surface). Significant difference was found regarding the effect of different surface on both Specific fuel consumption and Specific drawbar energy .on each and between two tractors. Results also showed that two tractors had less Specific fuel consumption and higher Specific drawbar energy on concrete surface and unplowed soil as compared to plowed soil. Results obtained for slip test showed that slip rate in ITM750 were less than MF285 tractor. In overall MF285 had less Specific fuel consumption and higher Specific drawbar energy than those rating to ITM750 tractor.

Logging encompasses all activities involved in the processing of fully developed tree for production of finished and intermediate planks of varying sizes. energy is a major input for logging. In this study, energy audit and analysis was used to determine the Specific energy and cost of production. Primary data for the study included site visits and use of questionnaire to collect data on the wood species, energy use pattern and types of equipment used for logging. Measuring instruments such as wattmeter, stop watch and measuring tape were used to measure the current, voltage and power factor; time of operation and size of timber log used in sawmilling in the selected study area. The study covered 24 sawmills spread across 5 states in the south-western part of Nigeria. The study showed that there are seven wood species in the study area. The Specific energy (kWh/m3) and average processing costs per unit volume ($/m3) of the seven species measured in the study area are respectively as follows-Afara (Terminalia superba): 1. 65 and 0. 094; Iroko (Milicia excelsa): 4. 48 and 0. 260; Mahogany (Khaya ivorensis): 1. 47 and 0. 084; Opepe (Naulea diderrichii): 1. 77 and 0. 100; Omo (Cordia millenii): 0. 75 and 0. 043; Obeche (Triplochyton scleroxylon): 0. 58 and 0. 033; Igba (Parkia biglobosa): 1. 01 and 0. 058. The study showed that the Iroko was the most common wood species processed in the study area and has the highest Specific energy for processing. The Iroko was also the most expensive wood specie for log processing in the study area.