energy consumption

This study presents a comprehensive approach to determining the transportation planning method, accounting for network parameters of the city logistics systems and flexible traffic organization. This method considers the rapid change in the operational situation under martial law, allowing for adaptation of routes and means of transport to changing operating conditions, in particular restrictions that arise in the event of martial law, such as curfews and power outages.

Purpose:The purpose of this study is to consolidate contemporary methodological approaches to assessing energy consumption in residential construction, with a focus on the methodology based on the building life cycle concept. This approach enables a more accurate evaluation of energy consumption impacts at various stages of a building’s existence and facilitates the development of recommendations for improving energy efficiency.

In the field of electric vehicle usage, an inherent challenge lies in the restricted mileage capacity prior to requiring a recharge, hindering broader acceptance of electric vehicles. To alleviate this concern, enhancing the comprehension of vehicle energy consumption and range plays a pivotal role in easing the anxieties of electric vehicle drivers. Within this context, a novel model-based predictive approach is introduced for estimating electric vehicle energy consumption. This method considers the vehicle's specific parameters, the road network's topology, and actual traffic conditions.

It is important to take into account not only existing trends, analyzing development of architecture, but also to predict the probable ones. They may occur in the medium term, around 2050. Energy and information are two key areas that determine all other aspects of human life. The most important task of the energy sector is to provide clean energy in amounts not less than the current ones in the future. The only one possible source of clean energy that will provide all current needs for a million years is fusion. Quantum computer is considered a “Holy Grail” of IT sector.

Tendencies of sustainable development of transport, the use of alternative energy sources, and requirements to the reduction of the carbon footprint on all stages of life cycle on all levels of road transport have led to the increase of the share of the electric car both at the first registration and used vehicles. The appearance of a large amount of used modern electric cars on the market caused the necessity to develop the procedures of provision their technical operation both by requirements of rational use and provision of traffic safety.

It’s well known that a criterion of estimating the varying natural lighting is exposure equal to the product of light intensity by its duration. Here we have made studies into the exposure in the room depending on the orientation of a light aperture and its location in space. The exposure has been considered by the example of three identical office rooms with the same light apertures oriented north, west and south and having three positions – vertical, inclined and horizontal. To calculate the annual exposure we made use of the well-known software package VELUX Daylight Visualizer 2.

Strengthening the legislative and international requirements for environmental protection and the need to optimize the energy consumption in the gas transportation system of Ukraine, requires the comprehensive monitoring of the environment as well as the lowering the energy consumption of Ukrainian gas transportation production facilities. In particular, JSC "Ukrtransgas", 2001 has started the works in introduction an integrated management system based on a combination of environmental management system ISO 14001 and energy management systems ISO 50001.

In this paper the approach of server cluster nodes energy models forming is described. The approach is based on idea of each node’s power consumption from central processor utilization individual dependencies defining and further usage of interpolation by a canonical polynomial method for functions forming. The proposed approach allows to form accurate energy models taking into account their individual character for each node.