Thermal Optimization Potentials for NRU MPEI Facilities

A set of activities on surveying the energy performance of eight large facilities of the National Research University Moscow Power Engineering Institute (NRU MPEI) was accomplished. In view of quite significant amounts of electricity and heat consumed by the NRU MPEI, a number of objectives were set forth on evaluating the NRU MPEI facilities’ general energy efficiency, analyzing the climatic characteristics of the facilities location places, revealing inefficient use of energy resources, and determining the priority areas for achieving a more efficient use of them. The current situation existing at each facility was examined, the thermal performance characteristics of the buildings were analyzed in general, the thermal parameters of enclosing structures were calculated, and energy balances were drawn up. With the aid of infrared imaging, losses were evaluated, and the places of maximum heat leaks in the cold season of a year were identified. The analytical survey was supplemented with field measurements of the necessary parameters of the buildings and heat carriers. An important feature of the study was that it involved evaluating the climatic characteristics of the facilities location places. Thus, a change in the design temperature and a considerable variation in humidity influence the condition of the structure. The number of temperature transitions through the zero degree point tends to grow. The alterations of frost to rain has an adverse effect on the condition of facilities. The analysis results have shown that the climatic characteristics that existed at the time the major part of the MPEI buildings were constructed have changed significantly over time. In the course of the study, a number of measures were developed and suggested that take into account the differences and characteristics of each building, as well as the state of their engineering systems. Since the engineering equipment items of the structures are in a different state, the energy saving measures for each of them are also different. Application of the comprehensive approach helps match the obtained data with the readings of water and heat metering instruments, and with the infrared images of enclosing structures. The selected technical measures are necessarily complemented by a set of measures to economically and morally stimulate the saving of all types of energy resources.

Development of set covering model for determining the open /closed facilities location and resizing capacity of fasilities

Set Covering model determines the location of facilities that can be used that minimize the cost of assigning facilities to the point of request with the limitation that each facility was used for a number points of request. If there is an imbalance between the volume of demand points and the capacity of the facilities, it is necessary to open/closed facilities. In fact, facility location problem can extended for the decision not only open/closed but rezising area the existing facilities that can be adjusted considering the avaibility area of facilities location and demand points. This case has not been accommodated on the basic model of set covering. Not all the existing facilities can be resized. Rezising the area of facility location was assumed discrete. The aims of this study was optimized the alghorithm of set covering model. The solution this study was devided into two stages. The first stage was screening facilities that can be resized with survey location. The second stage was set covering model which the facilities will be close/opened and resize the existing facilities.