This paper discusses the use of IoT sensor networks and spatial data mining methods to support the design process in the revitalization of the university campus of the Warsaw University of Technology (WUT) in the spirit of universal design. The aim of the research was to develop a methodology for the use of IoT and edge computing for the acquisition of spatial knowledge based on spatial big data, as well as for the development of an open (geo)information society that shares the responsibility for the process of shaping the spaces of smart cities. The purpose of the article is to verify the hypothesis on whether it is possible to obtain spatial–temporal quantitative data that are useful in the process of designing the space of a university campus using low-cost Internet of Things sensors, i.e., already existing networks of CCTV cameras supported by simple installed beam-crossing sensors. The methodological approach proposed in the article combines two main areas—the use of IT technologies (IoT, big data, spatial data mining) and data-driven design based on analysis of urban space actors’ behavior for participatory revitalization of a university campus. The research method applied involves placing a network of locally communicating heterogeneous IoT sensors in the space of a campus. These sensors collect data on the behavior of urban space actors: people and vehicles. The data collected and the knowledge gained from its analysis are used to discuss the shape of the campus space. The testbed of the developed methodology was the central campus of the WUT (Warsaw University of Technology), which made it possible to analyze the time-varying use of the selected campus spaces and to identify the premises for the revitalization project in accordance with contemporary trends in the design of the space of HEIs (higher education institutions), as well as the needs of the academic community and the residents of the capital. The results are used not only to optimize the process of redesigning the WUT campus, but also to support the process of discussion and activation of the community in the development of deliberative democracy and participatory shaping of space in general.

The paper analyses the possibilities of Demand Side Response (DSR) applications from the point of view of an electricity power cluster. Three possible scenarios for DSR mechanisms that facilitate balancing the cluster in short horizon were formulated. Two scenarios include shifting a part of demand that creates unplanned balancing energy in the cluster. In the first scenario, the unplanned balancing energy is moved to hours with lowerprices on the Balancing Market (BM), while in second scenarios we assume that this energy is bought on the competitive market. The third scenario concerns mitigation of investment cost for local distributed resources (DERs) due to DSR program. We present an analysis of monetary savings that has been carried out for exemplary clusters in Polish electrical energy system and based on Polish Balancing Market and Power Exchange data. Although the potential savings per household are too small to create strong incentives for DSR, this amount of money could be notable for the local community as a whole. There is also a big opportunity for increasing the benefits resulting from DSR in case of perceived stronger differentiation of unbalanced prices on BM as well as strong trend for price increase. We believe that presented results may play an important role to draw the potential development directions for national power clusters.

In this paper an application of fiber Bragg gratings (FBGs) based sensing system for stress measurement on the frame of the high mobility vehicle is reported. Demodulation of the strain value from the Bragg wavelength changes allows for fatigue strength calculation.