The importance of stakeholders’ analysis for the effective management of risks in any business sector has been widely recognized and depicted in International Organization for Standardization (ISO) standards. This kind of analysis is even more necessary in businesses and organizations dealing with significant technological and market changes, such as the provision and usage of Liquefied Natural Gas (LNG) as a marine fuel. In the LNG bunkering industry, several methods have been proposed to support risk management. However, they all suffer from an important drawback: they guide risk management mainly to the identification, analysis, and control of potential accidental events within a health and safety or a technical reliability analysis framework, failing to structure the correlation of risks with the actual actors, i.e., the numerous stakeholders whose decisions may influence directly or indirectly the organization’s objectives. This paper presents a method to systematically analyze the role of stakeholders and their ability to pose threats and/or opportunities to an organization. The proposed approach employs the Social Network Analysis (SNA) methodology to model and analyze stakeholder interests, interactions, and relationships that are important to the organization’s objectives. The method is applied in a small-scale LNG bunkering project at a Greek port.

Sustainable development principles have brought forth the imperative to harness renewable energy sources to conserve our fragile ecosystems. Among the various renewable energy options, ocean wave energy has garnered significant global interest and is now poised as a leading contender. However, current wave energy collection methods suffer from limitations and technical immaturity, thereby necessitating the need for a more advanced and innovative solution. This paper presents a concept for the development of a floating wave harvester, which aims to convert the energy of ocean waves into usable electrical energy. The focus of this document is to outline the methodology behind the design and construction of the harvester’s buoys, which play a crucial role in determining the overall effectiveness of the system. The buoy shape and material choice are critical to the harvester’s dynamic behavior, energy absorption capacity, and the ability to transform wave kinetic energy into direct and indirect electrical energy. The primary objectives of this ongoing research project are to define the system requirements and specifications and to implement these through practical application. The development of this floating wave harvester holds the potential to significantly contribute to the renewable energy landscape and make significant strides in sustainable development.

This chapter presents three applications of digital twin in shipping, namely the predictive maintenance of ship machinery, cargo load area cleaning, and hull biofouling treatment. The chapter discusses the business importance of each of these applications and surveys the current state of the art practices. The chapter then illustrates novel approaches that utilise digital twins and bring improvements in terms of costs, safety, and environmental impact.