Today, optimization and management of energy consumption are considered as one of the main necessities of operating various buildings. Given the decline in production sources of primary energy as well as the produced contaminations due to their consumption, attention toward such matter has doubled. One of the operational solutions to controlling energy consumption is to employ and utilize simulation approaches. In this study, a sports building complex including three separate halls in Mashhad was simulated using the Design-Builder model. The results of thermal simulations showed that parameters such as walls, glasses, and the roof involve almost the same amount of energy loss. Meanwhile, the energy loss due to external infi ltration exchanges of the building leads to the highest extent of energy loss, with a rate of 66.28 KBTU/h. Furthermore, at the end of the study, the relationship between the production of carbon dioxide contaminant and the electrical energy consumption for cooling was indicated and examined. Moreover, assessment and zoning were carried out on how optical distribution resulted from solar radiation takes place in the sports building.

Presenting a novel approach for designing chlorine contact reactors by combination of genetic algorithm with nonlinear condition functions, simulated annealing algorithm, pattern search algorithm and experimental efforts. Ann Environ Sci Toxicol 5(1): 012-017.

The collection is one of the most important steps in waste management, accounting for 60% of total costs. Therefore, a little improvement in collection operations can have a signifi cant impact on total cost savings. On the other hand, the traffi c of heavy vehicles collecting waste causes the air pollution spread and the passages pavement damage in case of excessive loading. Therefore, the issue of vehicle route determining to achieve this goal is very important. This study simulated the routing process of garbage trucks using random routing problems and genetic algorithms. The simulation results showed that the genetic algorithm converges to the optimal response in the 2069th generation and according to the convergence graph, in the 1000th generation onwards, the slope of the graph decreases. On the other hand, the amount of cost function is reduced from 11775.4909 to 1589.6028 by optimizing mentioned model, and the performance result has led to the emergence of the shortest possible path. With the help of the algorithm, all the management parameters of sustainable development, including reducing air pollution, reducing street pavement destruction, and energy (fuel) consumption are achieved. Finally, by integrating ArcGIS software, the output of the algorithm was matched to the map.