Strategic renovation of existing building stock is strongly promoted in Energy Efficiency Directive and Energy Performance of buildings directive. Measures at the envelope are usually combined with replacement of existing heating system. This paper deals with situation where existing radiator system are connected to heat pump instead of previously installed old boiler for heating. Designers of these systems rely on bin method which is well designed for new systems. However, in case of existing systems several factors determine the available power from heat pumps such as: oversized radiators, over-or under flow of hot water in existing system – both influencing the return temperature or inlet temperature to heat pump. It is demonstrated that in some cases available and declared capacity of the pump is overestimated which is result of neglecting previously mentioned factors. In this paper the adaptation of existing bin method according to standard EN 14825 is proposed which fits any existing system. Calculations are performed and results are presented for the baseline condition and three scenarios – two with radiator system and one with underfloor heating. Advances of improved methodology for calculation are highlighted and the conclusions are presented at the end.

An effective innovation system provides rules and procedures that nurture ideas, research, and increase in knowledge, resulting in new goods/services, new production or organisational processes, or new marketing techniques, and hence is a major source of technological progress does not exist in Bosnia and Herzegovina. In order for Bosnia and Herzegovina to increase and strengthen the commercialization of research and innovativeness of companies, it is necessary to (1) increase investments in R&D at least to the norm of the African Union (1% of GDP), as the European Union norm (3% of GDP) is too high, and (2) design and implement policy measures aimed at stimulating the research and development capacities of the business sector (through tax incentives for staff and capital engagement) to strengthen the activities of commercialization of research and development and links between universities and business companies (e.g., to establish a program for the establishment of technology and innovation centres [one per region]).

Resource efficiency in the brewing industry involves the use of energy and water with minimal wastage and negative environmental impact. As it is often impossible to maintain the recommended parameter values in the actual operation of the plant, due to a number of disturbance factors, it is necessary to find an easy and efficient way to maintain the parameter values in the relationships that result in the least possible losses. This paper presents the use of a software simulation model for the purpose of simulating the operation of a wort preheater, with the aim of managing its operation in a real environment with maximum resource efficiency.

Abstract Information about the system state is obtained through noisy sensor measurements. This data is coded and transmitted to a trusted user through an unsecured communication network. We aim at keeping the system state private; however, because the network is not secure, opponents might access sensor data, which can be used to estimate the state. To prevent this, before transmission, we randomize coded sensor data by passing it through a probabilistic mapping, and send the corrupted data to the trusted user. Making use of the data processing inequality, we cast the synthesis of the probabilistic mapping as a convex program where we minimize the mutual information (our privacy metric) between two estimators, one constructed using the randomized sensor data and the other using the actual undistorted sensor measurements, for a desired level of distortion–how different coded sensor measurements and distorted data are allowed to be.

Abstract A framework for tuning the parameters of model predictive controllers (MPCs) based on gradient-free optimisation (GFO) is proposed. Efficient calibration of MPCs is often a difficult task given the large number of tuning parameters and their non-intuitive correlation with the output response. We propose an efficient and systematic framework for the tuning of MPC parameters that can be implemented iteratively within the closed-loop setting. The performance of the proposed GFO-based algorithm is evaluated through its application to air-path control for diesel engines over simulations and experiments. We illustrate that the tuned parameters provide satisfactory tracking of reference trajectories over engine drive cycles with only a few iterations. Thereby, we extend existing MPC tuning approaches that calibrate parameters using step responses on the fuel rate and engine speed onto tuning over a full drive cycle response.

This manuscript addresses the parameter and state estimation problem for continuous time nonlinear systems with unknown slowly time-varying parameters, which are assumed to belong to a known compact set. The problem is tackled by using the multi-observer approach under the supervisory framework, which generates parameter and state estimates by using a finite number of sample points of the parameter set, a bank of observers, a set of monitoring signals and a selection criterion. This note proposes a novel dynamic sampling policy for the multiobserver technique and studies its convergence properties. We prove that the parameter and state estimation errors are ultimately bounded where the ultimate bounds can be made arbitrarily small if the parameter varies sufficiently slowly, and the number of samples is sufficiently large.

The security of each system is essential for its use. In order to make this process as successful as possible, it is advisable to develop a threat model for the system under consideration at the design stage. The purpose of the threat model is to enable the identification of security threats, by whose further analysis we can conclude which are the greatest vulnerabilities of the system and which pose the greatest risk. There exist many different approaches to threat modeling in terms of methods, methodologies, and tools. In this paper, we give an overview of those approaches and apply one of them, i.e., the most represented and mature to a specific system. A STRIDE-based methodology, software-centric method, and Microsoft Threat Modeling Tool (MTMT) mixture has been used to threat model the Web of Things (WoT)-based temperature management system which is in the design phase.

Engaging in non-driving related tasks (NDRTs) while driving can be considered distracting and safety detrimental. However, with the introduction of highly automated driving systems that relieve drivers from driving, more NDRTs will be feasible. In fact, many car manufacturers emphasize that one of the main advantages with automated cars is that it “frees up time” for other activities while on the move. This paper investigates how well drivers are able to engage in an NDRT while in automated driving mode (i.e., SAE Level 4) in real traffic, via a Wizard of Oz platform. The NDRT was designed to be visually and cognitively demanding and require manual interaction. The results show that the drivers’ attention to a great extent shifted from the road ahead towards the NDRT. Participants could perform the NDRT equally well as when in an office (e.g. correct answers, time to completion), showing that the performance did not deteriorate when in the automated vehicle. Yet, many participants indicated that they noted and reacted to environmental changes and sudden changes in vehicle motion. Participants were also surprised by their own ability to, with ease, disconnect from driving. The presented study extends previous research by identifying that drivers to a high extent are able to engage in a NDRT while in automated mode in real traffic. This is promising for future of automated cars ability to “free up time” and enable drivers to engage in non-driving related activities.

The aim of this paper is to analyze the safety of forklift brakes. The research methodology used to analyze forklift brake safety is presented using the checklist descriptive method. The study was conducted on 127 forklifts with an average age of 15 years, where it was found that about 10% of the forklifts did not have a proper parking brake and that about 2% of the forklifts had defective service brakes. Finally, the results obtained from the research on brake safety have been discussed and further research has been proposed.