Studien som är ett forskningsprojekt men också en produktutvecklingsprocess utgår från de två forskningsfrågorna: Hur kan man genom design hantera befintligt spillmaterial? Hur kan man genom design förebygga och minska avfall?  Eftersom våra resurser på planeten börjar bli knappa måste vi bli bättre på att ta hand om de resurser vi har. Den här studien handlar om spillmaterial och utgår från befintligt sådant från möbelföretaget Blå station. Detta ska representera och visualisera problematiken med att bra spillmaterial energiåtervinns eller deponeras istället för att användas som material i nya produkter. Studien börjar med en teorigenomgång inom hållbar utveckling och cirkulär ekonomi samt hållbar och cirkulär design. Expertintervjuer har gjorts med två designers samt några designexperiment som syftat till att ta fram möjliga designförslag för spillmaterialet vilket resulterade i tre olika designförslag samt några generella principer för hur man kan hantera spillmaterial samt minska mängden avfall när man tar fram produkter. / This study is a research project as well as a product development process and is based on the two research questions: How can design handle existing left-over materials? How can design prevent and reduce waste?  As our resources on the planet are becoming scarce, we need to better handle the ones we have. This study is about left-over materials and is based on such from the furniture company Blå station. This will represent and visualize the problems we have with good left-over materials is burned or thrown away instead of being used as material in new products. The study starts with a theory review in sustainable development and circular economy together with sustainable and circular design. Expert interviews with two designers were done and some design experiment with the intention to produce some possible design proposals for the left-over material and it resulted in three different proposals and some general principles for how to handle left over materials and also reduce waste in new products.

<p>In perimeter building zones with glass façades, controllable fenestration (daylighting/shading) and electric lighting systems are used as comfort delivery systems under dynamic weather conditions, and their operation affects daylight provision, outside view, lighting energy use, as well as overall occupant satisfaction with the visual environment. A well-designed daylighting and lighting control should be able to achieve high level of satisfaction while minimizing lighting energy consumption. Existing daylighting control studies focus on minimizing energy use with general visual comfort constraints, when adaptive and personalized controls are needed in high performance office buildings. Therefore, reliable and efficient models and methods for learning occupants’ personalized visual preference or satisfaction are required, and the development of optimal daylighting controls requires integrated considerations of visual preference/satisfaction and energy use. </p> <p>In this Dissertation, a novel method is presented first for developing personalized visual satisfaction profiles in daylit offices using Bayesian inference. Unlike previous studies based on action data, a set of experiments with human subjects was designed and conducted to collect comparative visual preference data (by changing visual conditions) in private offices. A probit model structure was adopted to connect the comparative preference with a latent satisfaction utility model, assumed in the form of a parametrized Gaussian bell function. The distinct visual satisfaction models were then inferred using Bayesian approach with preference data. The posterior estimations of model parameters, and inferred satisfaction utility functions were investigated and compared, with results reflecting the different overall visual preference characteristics discovered for each person.</p> <p>Second, we present an online visual preference elicitation learning framework for efficiently learning and eliciting occupants’ visual preference profiles and hidden satisfaction utilities. Another set of experiments with human subjects was conducted to implement the proposed learning algorithm in order to validate the feasibility of the method. A combination of Thompson sampling and pure exploration (uncertainty learning) methods was used to balance exploration and exploitation when targeting the near-maximum area of utility during the learning process. Distinctive visual preference profiles of 13 subjects were learned under different weather conditions, demonstrating the feasibility of the learning framework. Entropy of the distribution of the most preferred visual condition is computed for each learned preference profile to quantify the certainty. Learning speed varies with subjects, but using a single variable model (vertical illuminance on the eye), most subjects could be learned to an acceptable certainty level within one day of stable weather, which shows the efficiency of the method (learning outcomes). </p> <p>Finally, a personalized shading control framework is developed to maximize occupant satisfaction while minimizing lighting energy use in daylit offices with roller shades. An integrated lighting-daylighting simulation model is used to predict lighting energy use while it also provides inputs for computing personalized visual preference profiles, previously developed using Bayesian inference from comparative preference data. The satisfaction utility and the predicted lighting energy use are then used to form an optimization framework. We demonstrate the results of: (i) a single objective formulation, where the satisfaction utility is simply used as a constraint to when minimizing lighting energy use and (ii) a multi-objective optimization scheme, where the satisfaction utility and predicted lighting energy use are formulated as parallel objectives. Unlike previous studies, we present a novel way to apply the MOO without assigning arbitrary weights to objectives: allowing occupants to be the final decision makers in real-time balancing between their personalized visual satisfaction and energy use considerations, within dynamic hidden optimal bounds – through a simple interface. </p> <p>In summary, we present the first method to incorporate personalized visual preferences in optimal daylighting control, with energy use considerations, without using generic occupant behavior models or discomfort-based assumptions.</p>

In Taiwan, even though we have sets of desks and chairs in different sizes for school children, due to the inconsistency of purchases and the number of students in the year, many students did not have the opportunity to use desks and chairs that fit their height. In such an environment, students have incorrect postures, cannot concentrate in class, and begin to neglect or even destroy the tables and chairs they use. In this project, I designed the furniture to be adjustable in height. It solves the inconvenience of school procurement and provides students with a more comfortable learning environment. Besides, I also introduced the concept of "Wood education" to cultivate students' understanding of Taiwan's native natural resources and develop the feeling of cherishing the furniture that students use from assembling their wooden furniture.

Separation, removal, and relocation are the initial steps in the “clean-up” of a contaminated site. While crucial to safeguarding the public health of adjacent communities and the surrounding environment, conventional remediation is subtractive from the community leaving many psychological wounds untreated. Architecture has the greatest potential to address the social concerns which contribute to the complexities of redeveloping a contaminated site. Focusing on the 52 acre former General Electric Brownfield site in Pittsfield, Massachusetts, I have explored through design alternative approaches for the redevelopment of contaminated sites. My design research focuses on the ways in which architecture can be used as a tool to desensitize the legacy of post-industrial contaminated sites within our communities and create spaces of sustainable coexistence between for our greater economic, environmental, and communal interests.

This work is about sustainability design. I design low energy skyscaper in ostrava. This building is 80m hight.

Denna produktutvecklingsstudie beskriver utvecklingen av en skolstol, specialdesignad för elever på gymnasieskolor. Syftet med studien är att utveckla en stol utifrån användarens behov och krav, då det finns en brist på stolar utformade efter användarens behov för denna målgrupp. Utvecklingen är uppdelad i fem steg, introduktion till projektet, projektplan och metoder, en litteraturstudie på fakta och information som behövs för att möjliggöra denna produkt design, en design utvecklingsprocessen, bestående av skisser, en CAD-modell och FEA, och sedan resultatet och slutligen en diskussionsdel om vad som uppnåddes samt vad som kan vidareutvecklas, och stödja en vidareutveckling av skolstolar i framtiden. Resultatet av slutprodukten är en funktionell stol som uppfyller målgruppens krav och behov, samt standarder och krav på skolstolar. De viktigaste målen var att uppnå en hållbar, prisvärd och bekväm stol för elever att använda, och skolor att ha råd med, vilket den slutliga produkten uppnår. / This product development study describes the development of a school chair, specially designed for high school students. This due to the lack of chairs designed after the need of the user in this subject group. The development is split up into five stages, the introduction to the project, the project plan and methods, information (facts) needed to make the product design possible, the design development process, consisting of sketches, a CAD model and FEA, and then the result and finally a conclusionon what was achieved as well as what could be further developed, and support a further development of school chairs in the future. The result of the final product is a functional chair that achieves the requirements from the users, as well as the standards and requirements for school chairs. The key goals were to achieve a sustainable, affordable and comfortable chair for students to use, and schools to afford, in which the final product achieves.

Buildings in the United States account for nearly 68% of all U.S. energy consumption due to their reliance on electrical lighting and mechanical systems. Beginning in the 20th century, emphasis on developing the glass curtain wall created increased energy demands on lighting and mechanical systems. Consequently, the building’s curtain wall is a direct cause of significant energy loads. This research project investigated how current parametric design tools and energy analysis software are used during a performance-driven passive solar design process to develop facade systems that lower the energy use intensity (EUI) of a building and increase natural daylight to an acceptable illuminance level (lux). Passive solar shading strategies were employed to realize the proposed design process through a proof of concept project that retrofits the facade of an outdated office building in a hot-mediterranean climate. Incremental steps were taken using parametric software (Revit Architecture 2015) to increase the passive solar and daylighting performance capabilities of the facade system and Autodesk Green Building Studio was employed to measure, compare and contrast the results of each design.

Purpose – This study aims to gain an increased understanding of how textile companies perceive opportunities and challenges in reducing microplastic shedding in the design process. Specifically, the thesis compares and analyses two distinct textile companies with diverse business approaches. Methodology – A qualitative research method was chosen to gain in-depth knowledge through semi-structured interviews, while a deductive approach was used to connect existing theories to practical implications. A thematic analysis was employed to systematically analyse the empirical data, aligning with the developed analysis model in the thesis. Findings – Based on the results, it indicates that the design process in the textile industry plays a crucial role in reducing microplastic emissions by enabling sustainable product design through material selection and considering the product's life cycle. However, challenges arise in selecting sustainable materials and implementing sustainable practices due to limited awareness, availability, and standardised measurement methods. Through a comparative analysis of two distinct companies, the study generates valuable insights and knowledge on how organisations can re-evaluate their methods, processes, and material selections to foster more sustainable design practices. Originality/value – This study enhances originality by examining and analysing the perspectives of Swedish textile companies regarding the opportunities and challenges associated with reducing microplastic emissions in the design process. By emphasising a pre-consumer stage in the textile value chain, the study departs from the traditional focus on post-consumer phases, thus addressing the microplastic issue from a new perspective. The findings of this study hold significance for both theoretical and practical realms by advancing an increased understanding of sustainable policies and practices aimed at reducing microplastic emissions in the textile industry.

Although there have been oscillations in airship interest since their use in the early 1900s, technological advancements and the need for more flexible and environmentally friendly transportation modes have caused a stream of study and surge in airship development in recent years. For companies and governments to understand how airships can be incorporated into their fleets to fulfil new or existing mission types, system design space exploration is an important step in understanding airships, their uses, and their design parameters. A decision support system (DSS), Design Exploration of Lighter-Than-Air Systems (DELTAS), was developed to help stakeholders with this task. DELTAS allows users to design airships and missions to determine how a design will perform in the scenario. Simulations can also be run for a given mission to find the Pareto-optimal designs for user-defined ranges of high-level airship design parameters. A case study is provided that demonstrates how DELTAS can be used to explore the airship design space for three specified missions. These three mission case studies show how design of experiments is important to more thoroughly cover the design space and to find and understand the relationships between airship design variables that lead to optimal mission times and costs. This research also explores the impacts of introducing an airship into operation. Engineered products have economic, environmental, and social impacts, which comprise the major dimensions of sustainability. This paper seeks to determine the interaction between design parameters when social impacts are incorporated into the concept development phase of the systems design process. Social impact evaluation is increasing in importance similar to what has happened in recent years with environmental impact consideration in the design of engineered products. Concurrently, research into new airship design has increased. Airships have yet to be reintroduced at a large scale or for a range of applications in society. Although airships have the potential for positive environmental and economic impacts, the social impacts are still rarely considered. This paper presents a case study of the hypothetical introduction of airships in the Amazon region of Brazil to help local farmers transport their produce to market. It explores the design space in terms of both engineering parameters and social impacts using a discrete-event simulation to model the system. The social impacts are found to be dependent not only on the social factors and airship design parameters, but also on the farmer-airship system, suggesting that socio-technical systems design will benefit from integrated social impact metric analysis. This thesis seeks to demonstrate how computer-aided engineering tools can be used to predict social impacts, to more effectively explore a system's design space, and to optimize the system design for maximum positive impact, using the modern airship as a case study.

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