摘要：In recent years an increase of interest in usage of renewable energy sources as a substitution of fossil fuels is being noticeable. However, the waste heat potential, which can be used as an additional source of energy for heating water in buildings, is being omitted. The sources of this heat can be grey water discharged from such sanitary facilities as showers or washing machines. In response to this issue, we took on the task to define and analyze key factors affecting the development of DWHR (Drain Water Heat Recovery) systems using PESTLE (political, economic, social, technological, legal and environmental) analysis. The strengths and weaknesses of these systems were also identified. The studies were based on CFD (computational fluid dynamics) modeling tools. In the Autodesk Simulation CFD software environment, a DWHR unit was made, which was then analyzed for heat exchange efficiency. The obtained results were the basis for preparing the strategy for the development of Drain Water Heat Recovery systems. It was made using the SWOT/TOWS (strengths, weaknesses, opportunities and threats/threats, opportunities, weaknesses and strengths) method, which precisely orders information and allows presenting the project characteristic in readable way for a recipient. The results of the conducted analysis indicated the lack of acceptance on the part of potential users and the resulting need to promote the use of Drain Water Heat Recovery systems at residential level.
关键词：CFD (computational fluid dynamics); drain water heat recovery; DWHR (Drain Water Heat Recovery) heat exchanger; PESTLE (political; economic; social; technological; legal and environmental) analysis; shower water; SWOT/TOWS (strengths; weaknesses; opportunities and threats/threats; opportunities; weaknesses and strengths) analysis CFD (computational fluid dynamics) ; drain water heat recovery ; DWHR (Drain Water Heat Recovery) heat exchanger ; PESTLE (political; economic; social; technological; legal and environmental) analysis ; shower water ; SWOT/TOWS (strengths; weaknesses; opportunities and threats/threats; opportunities; weaknesses and strengths) analysis
