Overview of research papers of International conference of Environmental and Climate Technologies (CONECT 2019) illustrates the wide range of topics covered in the issue. All overviewed articles are published in the Special Issue (Part I and Part II) of the Journal of Environmental and Climate Technologies. Scientific articles are divided into 5 thematic clusters: renewable energy resources, energy efficiency, policy and policy tools, waste management and bioeconomy that charts energy, bioeconomy, climate change and environment nexus.
Bioeconomy is a target that European Union has set to be achieved; however, despite the planning documents, strategies and the financial support already given to promote it, the development of bioeconomy is slow and has not shown any significant development in the recent years. In this research bioeconomy system that consists of seven factors: production, technology, climate change, infrastructure, bioresources, and pollution, is being evaluated. The selection of factors is based on literature review and opinions of the expert group. The main aim of the research is to understand which are the most influential factors within the bioeconomy system, particularly, which factors the highest attention should be paid to in the policy and strategy documents implementation on a national level. To evaluate the chosen bioeconomy system, a multi-criteria decision-making method TOPSIS was used. The TOPSIS method was performed by using transdisciplinary approach components, which emphasise the complexity of bioeconomy. The results have shown that the main three factors within bioeconomy system are bioresources, climate change and production. The least important factors are technologies and infrastructure.
The thawing process within fish processing is one of the most essential steps in manufacturing. Various processes of thawing can be used where efficiency varies between companies depending on such characteristics as energy consumption, the price of resources, etc. The main aim of the research is to increase the efficiency of thawing processes. Firstly, to analyse various thawing methods and to find the most efficient one by using multi-criteria decision making analysis method. Secondly, analysing data of thawing of existing company to find opportunities for improvements, including the change of existing technology. Results showed that the most suitable method for thawing is the air blast method. Case study showed that current thawing technology is outdated, thus suggested improvement would be to replace the current boiler house with a cogeneration plant. A sensitivity analysis for the cogeneration plant has been performed.
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