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This paper presents the results from the seismic performance-based assessment of a "Gaioleiro" building case study, assumed as a prototype representative of wide number of buildings.
A simple, conceptual building case study is presented to demonstrate the potential use of this parametric analysis tool.
This paper reports the application of this LP optimisation process for an office building case study with four alternative combinations of renewables.
Afterwards, we show the usefulness of the analysis approach through presenting two execution scenarios related to a smart building case study.
The methodology was evaluated on a detailed building case study to obtain the decentralized control architectures for different values of wall insulation parameters.
Through evaluation of relevant literature, interviews with practicing architects, and a building case study, we recommend to proceed gradually across all design phases for achieving low-carbon building design.
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This mixed method approach started by building case studies of sports policy interventions in various national and sub-national governments to obtain a perspective on what these policies tend to involve (across space and time).
We illustrate our approach with a Smart Buildings case study.
Using a theory-building case study method, data from both phases of the study will be integrated to develop a model describing the processes that build competence and support wellbeing in practising psychotherapists, reflecting the accumulated wisdom of the expert supervisors.
The paper presents a building case-study where the MC-based uncertainty and sensitivity analysis method is applied considering different design options (XPS and Cork internal insulation measures) and different scenarios for the assessment of the building energy need (use phase).
Secondly, building upon case study evidence, broader research resulted in compiled lessons, good practices and recommendations for UNICEF and partners globally.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com