A new approach to the integration of energy assessment tools in CAD for early stage of design decision-making considering uncertainty

Author(s):  
R Rezaee ◽  
J Brown ◽  
G Augenbroe ◽  
J Kim
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheida Shahi ◽  
Philip Beesley ◽  
Carl Thomas Haas

PurposeIt is crucial to consider the multitude of possible building adaptation design strategies for improving the existing conditions of building stock as an alternative to demolition.Design/methodology/approachIntegration of physics-based simulation tools and decision-making tools such as Multi-Attribute Utility (MAU) and Interactive Multi-objective Optimization (IMO) in the design process enable optimized design decision-making for high-performing buildings. A methodology is presented for improving building adaptation design decision making, specifically in the early-stage design feasibility analysis. Ten residential building adaptation strategies are selected and applied to one primary building system for eight performance metrics using physics-based simulation tools. These measures include energy use, thermal comfort, daylighting, natural ventilation, systems performance, life cycle, cost-benefit and constructability. The results are processed using MAU and IMO analysis and are validated through sensitivity analysis by testing one design strategy on three building systems.FindingsQuantifiable comparison of building adaptation strategies based on multiple metrics derived from physics-based simulations can assist in the evaluation of overall environmental performance and economic feasibility for building adaptation projects.Research limitations/implicationsThe current methodology presented is limited to the analysis of one decision-maker at a time. It can be improved to include multiple decision-makers and capture varying perspectives to reflect common practices in the industry.Practical implicationsThe methodology presented supports affordable generation and analysis of a large number of design options for early-stage design optimization.Originality/valueGiven the practical implications, more space and time is created for exploration and innovation, resulting in potential for improved benefits.


2017 ◽  
Vol 139 (2) ◽  
Author(s):  
Sebastian Ripperda ◽  
Dieter Krause

Customer demands and global markets prompt companies to offer increasing product variety. The use of modular product structures is a possible strategy for providing the necessary external variety to the market and reducing costs by lowering internal variety within the company. Current research provides several approaches for developing modular product family structures. As modularity is a gradual property, these methods generate different product structure concepts and companies have to decide at an early stage and without detailed information which concepts to implement. Most existing modularization methods offer only little or no support for decision making, particularly in terms of cost effects. This article illustrates the cost effects of variety and modular product family structures, the various cost impacts of variety management strategies and modularization methods in a literature review. A new approach to quantify these cost effects to support concept selection during modular product family design is introduced.


2020 ◽  
Vol 12 (15) ◽  
pp. 6156
Author(s):  
Nataša Šuman ◽  
Mojca Marinič ◽  
Milan Kuhta

Sustainable development is a priority for the future of our society. Sustainable development is of particular importance to the Architecture, Engineering, and Construction (AEC) industry, both for new buildings and for the renovation of existing buildings. Great potential for sustainable development lies in the renovation of existing office buildings. This paper introduces a new framework for identifying the best set of renovation strategies for existing office buildings. The framework applies selected green building rating system criteria and cost-effective sustainable renovation solutions based on cost-benefit analysis (CBA), and thus provides a novelty in decision-making support for the sustainable renovation of office buildings at an early-stage. The framework covers all necessary steps and activities including data collection, determination of the required level of renovation, selection of the green building rating system, identification of impact categories and criteria, and final evaluation and decision-making using CBA. The framework can be used in conjunction with different systems and according to different regional characteristics. The applicability of the addressing procedure is shown through a case study of a comprehensive renovation of an office building in the city of Maribor.


2021 ◽  
Vol 13 (4) ◽  
pp. 2060
Author(s):  
Doriane Desclee ◽  
David Sohinto ◽  
Freddy Padonou

Contributing to Sustainable Development Goals and Agenda 2030 is a shared objective of all institutions and people. The challenges differ according to the characteristics of every context. In developing countries, strongly dependent on the agricultural sector, agricultural supply chains are recognized as crucial for economic growth and enablers for livelihood improvement. Moreover, sustainable development issues are correlated and can meet in agricultural supply chains. For several decades, parallel to decision-makers, the research community has elaborated sustainability assessment tools. Such tools evolved to fit with actuality, but it is challenging to find decision-making support tools for sustainable development adequate in agricultural supply chains and developing countries contexts. There is a necessity to define evidence-based tools and exhaustive analytical frameworks according to sustainability multidimensionality and strategical tradeoffs necessity. The VCA4D method aims to go beyond the limits of previous methods. It proposes a combination of multidisciplinary analytical tools applied empirically to analyze agricultural supply chains in their context. It provides evidence-based analytical results allowing to identify enablers for strategic sustainable and inclusive interventions. However, to even better meet contextual exhaustiveness’s expectations and indicators’ robustness to lead to relevant interventions, we should insist on a stricter framing of contextual data collection processes.


Author(s):  
Julia Reisinger ◽  
Maximilian Knoll ◽  
Iva Kovacic

AbstractIndustrial buildings play a major role in sustainable development, producing and expending a significant amount of resources, energy and waste. Due to product individualization and accelerating technological advances in manufacturing, industrial buildings strive for highly flexible building structures to accommodate constantly evolving production processes. However, common sustainability assessment tools do not respect flexibility metrics and manufacturing and building design processes run sequentially, neglecting discipline-specific interaction, leading to inflexible solutions. In integrated industrial building design (IIBD), incorporating manufacturing and building disciplines simultaneously, design teams are faced with the choice of multiple conflicting criteria and complex design decisions, opening up a huge design space. To address these issues, this paper presents a parametric design process for efficient design space exploration in IIBD. A state-of-the-art survey and multiple case study are conducted to define four novel flexibility metrics and to develop a unified design space, respecting both building and manufacturing requirements. Based on these results, a parametric design process for automated structural optimization and quantitative flexibility assessment is developed, guiding the decision-making process towards increased sustainability. The proposed framework is tested on a pilot-project of a food and hygiene production, evaluating the design space representation and validating the flexibility metrics. Results confirmed the efficiency of the process that an evolutionary multi-objective optimization algorithm can be implemented in future research to enable multidisciplinary design optimization for flexible industrial building solutions.


Author(s):  
Beatriz Sánchez-Sánchez ◽  
Beatriz Arranz-Martín ◽  
Beatriz Navarro-Brazález ◽  
Fernando Vergara-Pérez ◽  
Javier Bailón-Cerezo ◽  
...  

Therapeutic patient education programs must assess the competences that patients achieve. Evaluation in the pedagogical domain ensures that learning has taken place among patients. The Prolapse and Incontinence Knowledge Questionnaire (PIKQ) is a tool for assessing patient knowledge about urinary (UI) and pelvic organ prolapse (POP) conditions. The aim of this study was to translate the Prolapse and Incontinence Knowledge Questionnaire (PIKQ) into Spanish and test its measurement properties, as well as propose real practical cases as a competence assessment tool. The cross-cultural adaptation was conducted by a standardized translation/back-translation method. Measurement properties analysis was performed by assessing the validity, reliability, responsiveness, and interpretability. A total of 275 women were recruited. The discriminant validity showed statistically significant differences in the PIKQ scores between patients and expert groups. Cronbach’s alpha revealed good internal consistency. The test–retest reliability showed excellent correlation with UI and POP scales. Regarding responsiveness, the effect size, and standardized response mean demonstrated excellent values. No floor or ceiling effects were shown. In addition, three “real practical cases” evaluating skills in identifying and analyzing, decision making, and problem-solving were developed and tested. The Spanish PIKQ is a comprehensible, valid, reliable, and responsive tool for the Spanish population. Real practical cases are useful competence assessment tools that are well accepted by women with pelvic floor disorders (PFD), improving their understanding and their decision-making regarding PFD.


2021 ◽  
pp. 0272989X2199117
Author(s):  
Ewout W. Steyerberg ◽  
Liesbeth C. de Wreede ◽  
David van Klaveren ◽  
Patrick M. M. Bossuyt

Background Genomic tests may improve upon clinical risk estimation with traditional prognostic factors. We aimed to explore how evidence on the prognostic strength of a genomic signature (clinical validity) can contribute to individualized decision making on starting chemotherapy for women with breast cancer (clinical utility). Methods The MINDACT trial was a randomized trial that enrolled 6693 women with early-stage breast cancer. A 70-gene signature (Mammaprint) was used to estimate genomic risk, and clinical risk was estimated by a dichotomized version of the Adjuvant!Online risk calculator. Women with discordant risk results were randomized to the use of chemotherapy. We simulated the full risk distribution of these women and estimated individual benefit, assuming a constant relative effect of chemotherapy. Results The trial showed a prognostic effect of the genomic signature (adjusted hazard ratio 2.4). A decision-analytic modeling approach identified far fewer women as candidates for genetic testing (4% rather than 50%) and fewer benefiting from chemotherapy (3% rather than 27%) as compared with the MINDACT trial report. The selection of women benefitting from genetic testing and chemotherapy depended strongly on the required benefit from treatment and the assumed therapeutic effect of chemotherapy. Conclusions A high-quality pragmatic trial was insufficient to directly inform clinical practice on the utility of a genomic test for individual women. The indication for genomic testing may be far more limited than suggested by the MINDACT trial.


2020 ◽  
Vol 26 (6) ◽  
pp. 2927-2955
Author(s):  
Mar Palmeros Parada ◽  
Lotte Asveld ◽  
Patricia Osseweijer ◽  
John Alexander Posada

AbstractBiobased production has been promoted as a sustainable alternative to fossil resources. However, controversies over its impact on sustainability highlight societal concerns, value tensions and uncertainties that have not been taken into account during its development. In this work, the consideration of stakeholders’ values in a biorefinery design project is investigated. Value sensitive design (VSD) is a promising approach to the design of technologies with consideration of stakeholders’ values, however, it is not directly applicable for complex systems like biorefineries. Therefore, some elements of VSD, such as the identification of relevant values and their connection to a technology’s features, are brought into biorefinery design practice. Midstream modulation (MM), an approach to promoting the consideration of societal aspects during research and development activities, is applied to promote reflection and value considerations during the design decision making. As result, it is shown that MM interventions during the design process led to new design alternatives in support of stakeholders' values, and allowed to recognize and respond to emerging value tensions within the scope of the project. In this way, the present work shows a novel approach for the technical investigation of VSD, especially for biorefineries. Also, based on this work it is argued that not only reflection, but also flexibility and openness are important for the application of VSD in the context of biorefinery design.


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