Investment Evaluation and Partnership Selection Model in the Offshore Wind Power Underwater Foundations Industry

With a plan to achieve a target of 5.7 GW offshore wind power capacity in 2025, Taiwan anticipates building a 36-billion USD industry, which makes Taiwan a center of attention in the global marketplace of civil engineering construction. Aimed at Taiwan’s underwater foundations industries, this study is the first to develop an investment evaluation model (IEM) by applying FPR to obtain risk factor weights and calculate the overall investment risk value with a numerical scoring method. In a context where no precedent exists for reference, this study provides auxiliary and supportive tools to help builders to make the decision, based on objective indicators, whether to undertake an investment. To date, no research has been conducted to introduce a reasonable mathematical model that discusses the issue of partner selection in the field of offshore wind power. This study is the first paper to construct a SWARA-FTOPSIS partner selection model, which enables underwater foundations builders to take specific Taiwanese characteristics into account in their selection of the best partners to meet transportation, construction, and installation requirements. Finally, the study uses the case of the Taipower Offshore Wind Power Project (2nd phase) to verify the feasibility of this model.

Application of Cloud Computing and Information Fusion Technology in Green Investment Evaluation System

As an important part of the development of green economy, the green investment evaluation system provides a method to identify the performance of the investment environment and also guides the design of green investment plans. This article is aimed at analyzing the application of cloud computing and information fusion technology in the green investment evaluation system, using empirical analysis, qualitative and quantitative analysis, data integration, and distributed computing algorithms to carry out research. Data acquisition is mainly through cloud platform information fusion, to evaluate the investment subject, investment object, and investment vehicle of green investment. Qualitative and quantitative analysis is mainly through the definition of prerequisites by stipulating certain aspects of green, and the analysis of the country’s data changes in a certain time zone. Focus on the qualitative analysis and research on the green benefit attributes of a certain thing. In addition, by analyzing the influencing factors of the investment development status of green industries in different countries, such as green products, green projects, and green funds, it proves that the application of cloud computing and information fusion technology has a huge effect on the green investment evaluation system. Experimental data shows that in the past five years, investment in fixed assets in my country’s major industries accounted for the proportion of fixed asset investment in the whole society, and investment in environmental protection and energy supply industries has continued to rise. This upward trend is manifested in the fact that the amount of energy investment is increasing year by year. The development trend is the strongest during the development period and the entry period, and its data grows the most rapidly, while investment in the transportation industry has always been listed in the tables. For the first place in the industry, the highest was 20.84%.

Methodology for Investment Evaluation in Electricity Generation Modules according to the Requirements of the European Union

For a country to be able to survive successfully, one of the criteria is a stable electric power supply that meets certain technical parameters. In the European Union, several countries are working synchronously to ensure the safety of electricity systems. In order to achieve such synchronous operation, the European Union has adopted Regulation No. 2016/631, which sets out the requirements for grid-connected generators. The present article develops a model to assess the compliance of generators with the requirements of the Regulation, as well as conducts economic analysis to assess which generators need investment and whether their use will provide economic benefits. In this way, the state can create a priority list, where generators are divided according to their socio-economic benefits. In 2025, the Baltic States plan to become integrated into the Energy Systems Association of Continental Europe and work synchronously with the other European Union countries, disconnected from the current BRELL energy systems. Therefore, the model developed in the article is applied to the case of Latvia to determine the necessary investments, as a result of which alternatives are considered for improving the current situation.