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This book presents a collection of the most current research into systemic creativity and TRIZ, engendering discussion and the exchange of new discoveries in the field. With chapters on idea generation, decision making, creativity support tools, artificial intelligence and literature based discovery, it will include a number of instruments of inventive design automation. Consisting of 15-20 chapters written by leading experts in the theory for inventive problem solving (TRIZ) and adjacent fields focused upon heuristics, the contributions will add to the method of inventive design, dialogue with other tools and methods, and teaching creativity in management education through real-life case studies.

Intro -- Preface -- Contents -- Notes on Contributors -- List of Figures -- List of Tables -- Part I -- Current Stage of TRIZ Evolution and Its Popularity -- 1 Introduction -- 2 Method -- 3 Results of the Research -- 3.1 Worldwide Propagation of TRIZ Is Decelerating -- 3.2 World Interest in TRIZ Is Declining -- 3.3 World Awareness of TRIZ Is Low -- 3.4 Recognized Area of TRIZ Application Is Narrow -- 3.5 Practical Application of TRIZ in Industry Is Not Huge -- 4 Discussion -- 5 Conclusions -- References -- Design for Change: Disaggregation of Functions in System Architecture by TRIZ-Based Design -- 1 Introduction -- 2 Background -- 2.1 Function Modeling -- 2.2 System Architecture Modeling -- 2.3 Grouping in System Architecture -- 3 Proposed Solution -- 4 Discussion and Recommendations -- References -- Systematic Innovation in Process Engineering: Linking TRIZ and Process Intensification -- 1 Introduction: Literature Review and Objectives -- 2 Research Approach -- 3 Discussion of Results -- 4 Concluding Remarks and Outlook -- Appendix -- References -- Heuristic Problems in Automation and Control Design: What Can Be Learnt from TRIZ? -- 1 Introduction -- 2 Case Study 1: Hydraulic Power Steering System -- 2.1 Rack-and-Pinion Steering Without Hydraulic Power -- 2.2 Steering Control with Servo Drive -- Hydro Pump Capacity Irrespective of Engine RPM -- Hydro Pump Capacity Depending on Engine RPM -- 3 Case Study 2: Sway Stabilization System Conceptual Design -- 3.1 Standard Feedback Control Framework -- 3.2 Inventive Design, Based on Mathematical Model -- Anti-Resonance Absorber -- Self-Stabilization by Gyroscopic Effect -- Variable Length Pendulum Stabilization -- 4 Case Study 3: Technology Process Control Design -- 4.1 Maintaining a Constant Raw Mix Formulation -- 4.2 Perturbations Control.

A review of economic geography studies on renewable energy showed a lack of the investors' perspective in such an analysis that is crucial for both a single investment planning and policy development. This paper introduces a framework for a cross-regional analysis of renewable energy investment attractiveness and illustrates its use on the case of Russia. The attractiveness of each Russian region is analyzed based on four main variables that are used in the construction of an attractiveness indicator. In addition, the indicator takes into consideration the effect of the different renewable energy investment support mechanisms presented in the country. The results allow the comparative analysis of different regions in terms of renewable energy investment attractiveness. The graphical representation of the results enables intuitive understanding and facilitates decision making. Apart from the direct usefulness of the results to Russian renewable energy market actors, such as investors and policy-makers, the introduced framework can be utilized by the research community and policy-makers for any country with geographical variability to better inform the transition to a low carbon future. ; Post-print / Final draft

This chapter reviews the development of the legal framework for renewable energy in Russia and discusses the current state of renewable energy in the country. The Russian support scheme for renewable energy is elaborated in detail for both the wholesale and retail energy markets, and the outcomes of the policy are assessed based on the current state of renewable energy in Russia.
Russia has introduced an unusual scheme to promote renewable energy: compensating investments in capacity installed and guaranteeing investors a certain return on their investments. This instrument is known in the literature as a 'capacity-based mechanism' or simply a 'capacity mechanism'. The capacity mechanism also imposes some restrictions and incentives to motivate renewable-energy production and attempts to minimise the cost burden of the subsidies on the taxpayer. Renewable-energy investments in other countries are commonly supported by paying projects for the electricity produced, rather than the installed capacity. The Russian approach has practical relevance from the policymakers' perspective because, in contrast to conventional power plants that can be operated non-stop to produce electricity, many forms of renewable energy are not able to guarantee production on command. Paying for actual electricity production encourages investors to select appropriate sites for renewable energy generation. However, the Russian case demonstrates that renewables can also be supported through installed capacity.
In this chapter, we present a short overview of Russian renewable-energy policy, review the academic literature on this topic, and analyse the outcomes of the policy in terms of the current state of renewable energy in Russia, paying particular attention to the effect of the capacity mechanism.

This book offers a collection of cutting-edge research on the Theory of Inventive Problem Solving (TRIZ). Introduced by Genrich Altshuller in 1956, TRIZ has since been used by engineers, inventors and creators as an essential structured innovation method at businesses and organizations around the globe. The chapters of this book showcase work by selected authors from the 'TRIZ Future' conferences, which are organized by the European TRIZ Association (ETRIA). The chapters reflect an international mix of new ideas on TRIZ and knowledge-based innovation, highlight recent advances in the TRIZ community, and provide examples of successful collaboration between industry and academia. The book first introduces the reader to recent methodological innovations, then provides an overview of established and new TRIZ tools, followed by a collection of case studies and examples of TRIZ implementation in various scientific and social contexts.

The paper compares numerically the results from two real option valuation methods, the Datar-Mathews method and the fuzzy pay-off method. Datar-Mathews method is based on using Monte Carlo simulation within a probabilistic valuation framework, while the fuzzy pay-off method relies on modeling the real option valuation by using fuzzy numbers in a possibilistic space. The results show that real option valuation results from the two methods seem to be consistent with each other. The fuzzy pay-off method is more robust and is also usable when not enough information is available for a construction of a simulation model.

Real option analysis offers interesting insights on the value of assets and on the profitability of investments, which has made real options a growing field of academic research and practical application. Real option valuation is, however, often found to be difficult to understand and to implement due to the quite complex mathematics involved. Recent advances in modeling and analysis methods have made real option valuation easier to understand and to implement. This paper presents a new method (fuzzy pay-off method) for real option valuation using fuzzy numbers that is based on findings from earlier real option valuation methods and from fuzzy real option valuation. The method is intuitive to understand and far less complicated than any previous real option valuation model to date. The paper also presents the use of number of different types of fuzzy numbers with the method and an application of the new method in an industry setting.