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The paper presents the result of research on choosing of options for technological equipments, processus based on the criteria of effective costs and operational energy. Based on graph theory, the method of selecting the mechanization variant is designed to achieve predictable technical and economic indicators. Thus, the selection stage is the starting point for the technological processes and operational equipment of execution on the working front. In this case, in-situ cold recycling can be optimized with minimal costs and operating power. The proposed graph has as main elements the nodes through which the simple technological processes associated with the variants of the technological equipments used are represented. Each node of the graph contains the following information regarding the machine type, input/output size, evaluation and decision algorithm. Finally, a case study for the Wirtgen equipment recycling technology system is presented.

The management of construction equipment on a construction site is particularly important for increasing productivity on construction sites. High productivity has financial implications for the economics of construction projects and leads to reduced energy consumption. Reducing energy consumption in construction machinery has an impact on reducing greenhouse gase emissions. Monitoring construction equipment and optimizing movement trajectories is a challenge on a construction site and is possible in real ti me with drone photogrammetry technology. Using this technology, we can track the construction machines and the progress of the works in real time, and later, by using AI technology, the management of equipment on construction sites can be improved in real time.

Escalators are an important piece of equipment used for vertical transportation of people in buildings. In today’s context, when the reduction of greenhouse gas emissions is a global challenge, the energetic efficiency of escalators in operation becomes a priority. The research aims to identify possibilities to reduce the energy consumption of this category of equipment. In this respect, we have undertaken a series of tests to establish a correlation between passenger traffic and electrical energy consumption. The tests were carried out for an existing escalator and represent the first step in developing solutions to optimize the operation of such equipment. The energetic efficiency of escalators in operation needs to be customized for each model and involves finding parameters that can be modelled to reduce electrical energy consumption.

The article presents the importance of building coastal living spaces using end-of-life shipping containers - used ship containers - in order to reduce metal waste in coastal areas with a significant impact on greenhouse gas emissions and coastal biodiversity leading to sustainable coastal living spaces. The comparative study between building a house using classical building solutions, reinforced concrete structure and brick masonry, and building the same house using maritime containers attempts to highlight the need to use these containers as coastal living space. The article presents the comparative study between the amount of CO2 emissions generated during the construction of a living space using classical solutions (infrastructure and superstructure in reinforced concrete with masonry) with a useful surface of about 28 square meters and the amount of greenhouse gases generated by the realization of a living space using decommissioned maritime containers with an equivalent useful surface. Following the comparative analysis we found that in the case of using maritime containers we obtain negative values in terms of CO2 emissions compared to the classical construction where the CO2 emissions are much positive.

This article presents novel research on the utilization of a neural-network-based time control system for microwave oven heating of food items within a solar-powered vending machine. The research aims to explore the control of heating time for various food products, considering multiple variables. The neural network controller is calibrated through extensive experimentation, allowing it to accurately predict optimal heating times based on input parameters such as food type, weight, initial temperature, water content, and desired doneness level. The results demonstrate that the neural-network-controlled microwave oven achieves precise and desirable heating durations, mitigating the risk of overheating and ensuring superior food quality and taste. Moreover, the solar-powered vending machine showcases a commitment to sustainable energy sources, effectively reducing dependence on non-renewable energy and minimizing greenhouse gas emissions. To maintain food quality and freshness, a food refrigeration unit is integrated into the vending machine, employing load-balancing technology to control the refrigeration chamber’s temperature effectively. Energy efficiency is prioritized in both the refrigeration unit and the microwave oven through intelligent algorithms and system optimization. The combination of a neural-network-controlled microwave oven, a solar-powered vending machine, and a food refrigeration unit introduces a novel and sustainable approach to food preparation and energy management.

In the current energetical context, there is a need to diversify energetically independent applications. The presence of energetically independent vending systems is necessary in the smart cities of the future and beyond. Energetically independent vending equipment must ensure the delivery of cold or hot products with low energy consumption. Reduced energy consumption and the use of environmentally friendly sources lead to reduced greenhouse gas emissions and at the same time to higher energy autonomy. The paper presents the results obtained from testing the innovative experimental sales system developed to study the energetic efficiency of this equipment. The innovative sales system is a complex system that integrates energy production and storage, cooling and heating systems. The fully automated system allows cold storage of products and their subsequent delivery, cold or hot, on demand. The vending system was powered by electrical energy from an array of photovoltaic panels. The results obtained, summarized in the paper, lead to the possibility of developing stand-alone vending equipment with significant reduction of greenhouse gas emissions in urban agglomerations.

This article presents a comparative study on rheological and tribological properties of classic oils used in mechanical transmisions and of biodegradable lubricants with multifunctional properties. Thus, the experimental tests were carried out on two oils: one a biodegradable oil with multifunctional properties (BIOFLUM) and the other one a commercial oil, SHELL-TEVELA 320, used for gears. Finally, the results are analyzed in order to establish the possibility of replacing of the reference oils with the biodegradable lubricants.

The research presented in this article shows a comparison of results obtained in the dimensioning of the finite element method and results for a real metal construction. The aim of this research is to certify the results of modeling of steel structures using finite element method for temperature variations of metal parts tested.

Lucrarea prezintă o soluţie de optimizare a structurii metalice a macaralelor pivotante de atelier. Analiza urmăreşte optimizarea cu ajutorul modelării în 3D şi a analizei cu element finit a sistemului de rezemare a braţului unei macarale pivotante în scopul reducerii masei acesteia. Optimizarea urmăreşte reducea cantităţilor de oţel utilizat în fabricaţia macaralelor pivotante în contextul necesităţii reducerii risipei de oţel - materie primă cu procent ridicat de generare de emisii poluante în procesul de manufacturare la nivel global.