This report focuses on the practicality and results of using the COMSOL 6.0 Optimization Module on a HVDC bushing corona shield model provided by Hitachi Energy to minimize electric field. The Optimization Module has several functions and parameters for altering the geometry of a model. Parameter Optimization, Polynomial Boundary and Free Shape Boundary was the primary methods used. The best results in minimizing the electric field was found with the Polynomial Boundary. The optimized shape decreased the maximum electric field by about 15% and when run with constraints to the change in volume the optimization showed similar results. Tests with Parameter Optimization did decrease the electric field but lacked the ability to fine-tune the shape like Polynomial Boundary can. Free Shape Boundaryseemed to have great potential in the documentation but we did not finda successful way of implementing the method. Through testing of different setups for methods and solvers we have concluded that the Optimization Module is both useful and practical for the given model and a clear improvement in electric field was observed in the new shape. Polynomial Boundary is the best option for the given model but more research is needed about Free Shape Boundary.

This study has been motivated by an understanding of the twin needs to reduce carbon dioxide emissions and increase the access to have complete control of the ventilation system available in the buildings. In consideration of the increasing utilization of fossil fuels, there is an extensive threat of increased global warming conditions associated. To ensure sustainable development, improvement of social welfare and wealth creation, energy is an essential factor. The consumption of electricity and energy delivered per floor area in Sweden has been considerably rising since 2014. The aim of this study is twofold where the authors have mapped and defined the specific customer needs for choosing an “add-on energy optimization module” for the existing HVAC systems in Sweden’s commercial market. Secondly, the study has also focussed to identify the acceptance of the complementary good technology from the perspective of a customer’s experience of value creation. It is a case study carried out in collaboration with a Swedish cleantech company, that will be named “Company-X” in the further part of the study. This company utilises a part of space technology to secure a healthy indoor air climate and at the same time save energy in buildings. The thesis has been carried out qualitatively. Since there is a preunderstanding of this theory where an abductive approach with semi-structured interviews has been followed to perceive the current market situation. The study further underlines the importance and need of making investments for a cleaning module combined with an optimization algorithm which can be easily mounted on current ventilation systems like Lego pieces. Under this module, the air quality is monitored, and the system adapts to current conditions concerning time. The results designate that it is possible to maintain a predefined indoor air quality to the lowest possible energy consumption by real-time monitoring with this cleaning module at facilities that are equipped with single or multiple-split HVAC systems. The best results towards attaining greater energy savings can be obtained from the association of Building energy management system and Air-handling unit with this cleaning module.