The growing importance of the Internet of Energy (IoE) brands the high-renewables electricity system a realistic scenario for the future electricity system market design. In general, the whole gist behind the IoE is developed upon a somewhat broader idea encompassing the so-called “Internet of Things” (IoT), which envisioned a plethora of household appliances, utensils, clothing, smart trackers, smart meters, and vehicles furnished with tiny devices. These devices would record all possible data from all those objects in real time and allow for a two-way exchange of information that makes it possible to optimize their use. IoT employs the Internet Protocol (IP) and the worldwide web (WWW) network for transferring information and data through various types of networks and gateways as well as sensor technologies. This paper presents an outline stemming from the implications of the high-renewables electric system that would employ the Internet of Energy (IoE). In doing so, it focuses on the implications that IoE brings into the high-renewables electricity market inhabited by smart homes, smart meters, electric vehicles, solar panels, and wind turbines, such as the peer-to-peer (P2P) energy exchange between prosumers, optimization of location of charging stations for electric vehicles (EVs), or the information and energy exchange in the smart grids. We show that such issues as compatibility, connection speed, and most notoriously, trust in IoE applications among households and consumers would play a decisive role in the transition to the high-renewables electricity systems of the 21st century. Our findings demonstrate that the decentralized approach to energy system effective control and operation that is offered by IoE is highly likely to become ubiquitous as early as 2030. Since it may be optimal that large-scale rollouts start in the early 2020s, some form of government incentives and funding (e.g. subsidies for installing wind turbines or solar panels or special feed-in-tariffs for buying renewable energy) may be needed for the energy market to make early progress in embracing more renewables and in reducing the costs of later investments. In addition, there might be some other alternative approaches aimed at facilitating this development. We show that the objective is to minimize the overall system cost, which consists of the system investment cost and the system operating cost, subject to CO2 emissions constraints and the operating constraints of generation units, network assets, and novel carbon-free technologies, which is quite cumbersome given the trend in consumption and the planned obsolescence. This can be done through increasing energy efficiency, developing demand side management strategies, and improving matching between supply and demand side, just to name a few possibilities.

Project-based approach is one of the most widespread approaches to promotion of innovations. Risk management in innovative projects is one of the most difficult tasks in project management due to high degree of uncertainty which is intrinsic to innovative projects. Depending on the phase of innovation's life cycle, the parameters of innovative projects' risk management change, which, in turn, results in the need to use various methodic tools. The key risks on the phase of development and implementation of an innovative project include the risk of non-realizability of an innovative idea and the group of risks related to failure to achieve the basic project parameters including the timing risk, project budget deficit risk and the risk of failure to achieve the innovation's targets. Targets include improvement in risk management on the phases of development and innovations in case of the project-based approach through development and adaptation of existing and elaboration of new approaches and methods of risks identification, assessment and mitigation. This article solved the following issues, which contribute to achievement of the above goal: -identification of key risks of innovative projects, which are intrinsic to the phases of project development and implementation; -adaptation, enhancement and development of methodical tools for assessment and analysis of the key risks of innovative projects; -elaboration of enforcement actions focusing on the key risks of innovative projects on the basis of data obtained in the course

In the study, we consider the methods for optimizing the configuration of the network structure of enterprises based on the theory of fuzzy sets. These methods allow customizing the value chain in such a way as to maximize the likelihood of the success of a joint project to create innovative products. A strategic decision to change the configuration of the network structure is made based on an analysis of deviations of the generalized capabilities from the generalized requirements for the enterprise and its closest neighbors along the value chain. This optimization principle allows changing the configuration, taking into account the interests of participants in the network structure as a whole. We have formulated the task of developing tools for enterprise engineering based on intelligent decision support technologies and multi-agent systems. The approach to justifying decisions in the conditions of lack and incompleteness of the initial data on the basis of soft models is an alternative to existing traditional methods. The proposed network structure optimization model will allow effective strategic planning, supporting flexible management mechanisms at the strategic and operational levels. The research results show that it is possible to improve the efficiency of interaction between enterprises united by common goals by using services that allow enterprises to find information about their potential partners.

Modern production of high-tech products is characterized by the transition from the traditional design paradigm to the new paradigm of designing a holistic unified set of products. In this regard, the process of designing high-tech products needed to be allocated into a separate typethe system design. Its main methodological provisions are presented in the study. The result of the generalization was the developed system design model, which included the engineering design and process design stages, a method for evaluating the unification effectiveness, suitable for use at both intraspecific and trans-species levels, and an algorithm for the practical use of an integrated model and proposals for its use at the stages of creation of high-tech products. The use of the methodological toolkit for system design of high-tech products allows reducing the cost of their creation, production and operation significantly, as well as obtaining the structure of production with balanced efficiency and cost. The practical implementation of the proposed tools is possible at the stage of selecting design organizations. The developed toolkit is universal and can be used in all sectors of the economy.

No abstract