The introduction of increasingly strict rules related to the processing and storage of animal waste, the growing demand for energy and the creation of sustainable animal husbandry have led to an increased interest in the production of clean energy from animal waste. The production of biogas and its subsequent burning on the farm is among the most promising technologies. One of the possibilities for the utilization of biogas is through the use of small aggregates for the combined production of electricity and heat energy based on an internal combustion engine. Analysis of such facilities that have been put into operation show that alternative technologies using biogas as fuel are better than conventional options, both from an economic and an environmental point of view. In this sense, however, the introduction of such a technology into operation is always associated with a number of risks, since investments in new technologies are influenced by technical and economic uncertainty. When planning and preparing the plan for the construction of such a biogas facility, the investment costs, technical support and profitability of the project are essential. Introducing critical economic and technical parameters to inform the farmer of all possible investments, operational and unforeseen risks will allow him to accept the challenges and choose the best solution for his farm. In this publication, an analysis and assessment of the risk has been carried out based on the characteristics of the technology – the possible consequences of the risk are also presented. A risk matrix related to the specifics of the object and the technology is proposed, with the help of which, the type of risk is identified. Based on an analysis of the obtained results, a motivated proposal for reducing the risk is made.

The above-presented methodology for spatial classification of roads in relation to their acoustic annoyance can be used in preparing acoustic maps of towns. The classification of roads with the view of the level of acoustic hazard enables, just in the initial phase of acoustic map preparation, to identify the areas potentially endangered with excessive noise. These areas need taking immediate corrective actions, aimed at reducing the noise level. An important problem, when analyzing the propagation of noise in a highly urbanized area, is the selection of locations in which the measurements of emission of the noise source are performed with the aim to determine its acoustic parameters for calibration of the assumed methodology. Solving this problem makes it possible to use uniform methods of computation. The development of the proposed method and supplementing the layers with next ones, containing information about the range of influence of vibration generated by roadway transport routes, or information on the effects of mining on the roads and building structures, using the proposed methodology, will enable to make an unambiguous categorization of transport routes in the aspect of their vibro-acoustic impact on the environment.

The article presents results of the influence of the GMDH (Group Method of Data Handling) neural network input data preparation method on the results of predicting corrections for the Polish timescale UTC(PL). Prediction of corrections was carried out using two methods, time series analysis and regression. As appropriate to these methods, the input data was prepared based on two time series, ts1 and ts2. The implemented research concerned the designation of the prediction errors on certain days of the forecast and the influence of the quantity of data on the prediction error. The obtained results indicate that in the case of the GMDH neural network the best quality of forecasting for UTC(PL) can be obtained using the time-series analysis method. The prediction errors obtained did not exceed the value of ± 8 ns, which confirms the possibility of maintaining the Polish timescale at a high level of compliance with the UTC.

It is often said that biotechnology is “as old as the world”. However, only now modern biotechnologies based on genetic engineering provide innovative solutions underpinning the development and transformation of the modern economy, thereby creating real opportunities to guarantee the supply of food, medicines and energy for the world's ever-growing population (in November 2022, the world's population will exceed 8 billion). The development of innovative technologies is often conditional on public acceptance and, as a consequence depends on public opinion, coherent legislation and a profound transformation from an oilbased economy to a circular and sustainable bioeconomy. Poland, as part of the European Union, belongs to the group of countries where such modern concepts are developing.