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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Analyzing the adaption of energy optimization modules in HVAC systems : A case study within Sweden’s commercial market

Tiwari, Shashank Prasad, Potluri, Sumanth January 2020 (has links)
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.

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