Repository of DUTH

Βελτιστοποίηση βιομηχανικών κτιρίων εφαρμόζοντας τις αρχές Λιτής Κατασκευής με έμφαση στον φυσικό φωτισμό (Doctoral thesis)

Μαυρίδου, Θεοδώρα/ Mavridou, Theodora

This dissertation looks in the optimization of industrial buildings through the application of the principles of Lean Thinking and Philosophy with emphasis on Daylighting. The application of Lean Construction in the present thesis has, as its main objective, the reduction of waste and the parallel creation of economic as well as social advantages for both client and end users. Through an extensive bibliographic review, the research has led to the linking of the concepts of Lean Thinking and Sustainability and, by extension, to the Lean and Sustainable Construction. Following the above, the two way relationship of Modular Construction with the Permanent and Sustainable Construction was established. Industrial buildings, in accordance with the principles of Lean Construction, in this thesis are governed by the above characteristics. The main characteristics of Lean Thinking in the design and execution phases extends the useful life of existing buildings and supports Sustainability. Upon deeper analysis of what constitutes Lean Thinking in construction it was found that Daylighting is an important design factor, while its connection with the Lean and Sustainable construction cannot be denied. At the same time, improving the quality of lighting in the building, especially in the production areas, increases the productivity and welfare of the workers yielding, yet additional, benefits from its correct implementation. This dissertation, through the use of multiparametric analysis, answers to the optimization of the design of a roof system for the provision of daylight that aims at maximizing the benefits and minimizing the cost during its lifetime in different geographic and climatic regions in Greece. The investigation of a roof system model was based on the maximum performance of Daylighting, while reducing unnecessary energy use and cost. The solution investigated three main types of ceiling openings (Monitor Roof, Sawtooth and Skylight), in terms of energy cost, geography (orientation, location) and building variables (openings dimensions and number). This has been achieved through the use of multi-parametric design, computational simulations, use of genetic algorithms, and post-processing of results through statistical analysis. Research has led to the use of a selection algorithm to distinguish the best case out of the possible solutions. The results showed a qualitative and quantitative superiority of the North Sawtooth roof orientations, while they appeared to maintain the same good characteristics for various climatic zones in Greece that have been examined (namely, Heraklion, Athens, Thessaloniki and Kastoria). The use of an algorithm that takes into account the quantitative and qualitative characteristics of natural light provided in relation to the energy used is considered necessary to find the optimal solution for industrial buildings that are required to operate in one or more geographical areas. This algorithm achieves solutions with the maximum performance of Daylight indicators, reducing use in Energy Costs. Further analysis of the results has distinguished the important relationship between Daylighting and Energy and it has been shown that optimizing the Daylighting criteria, although an unambiguous factor of optimisation, does not imply finding the optimal solution. In this case, optimization involves finding the best possible intersection between different contributing factors and identifying the right balance between energy features and natural lighting characteristics. The optimization of industrial buildings during this doctoral thesis were based on Lean Thinking principles that advocate the choice of suitable solutions that meet the criteria under consideration without exceeding them. The superiority of solutions that meet Daylighting criteria is self-evident, but the rules and philosophy of Lean Thinking stipulate that the best solutions are those that lie closer to the acceptable limits so as to avoid potential waste of resources. The optimization of industrial buildings in this dissertation concerns an efficient design, suitable for industrial buildings, which balances the performance of the Daylight indicators and minimizes wastage by lowering the Energy Cost Index.