Proposal of sustainable and eco-exurban communities at the western desert development corridor in Egypt

Worldwide energy assessments now indicate that improving the energy efficiency and sustainability of buildings, and urban communities could save our planet and free-up enormous amounts of current energy expenses. In addition, greater reliance on sustainability offers countries worldwide means of maintaining economic growth and environmental quality. In this rapidurbanizing world, cities hold the key to achieving a sustainable balance between the Earth's resources and its human needs. Industrialization in developing countries has led to urban health problems on an unprecedented scale. Cities around the world affect not just the health of their people but the health of the planet. Urban areas take up very diminutive percentage of the world's surface but consume the bulk of vital resources. This research paper represents a holistic proposal which primarily aims to lessen the harm poorly designed urban communities and buildings in Egypt’s big cities like Cairo and Alexandria cause. It draws attention towards exurban developments that are able to use the best of eco-building approaches in logical combination with the best of technological advances and renewable energy resources. The ultimate goal of this proposal is to put forward a sustainable-oriented development to make possible homes, offices, even entire subdivisions of suburban and exurban for newly proposed Egyptian communities away from the narrow-valley along the Nile and towards the Western Desert Development Corridor WDDC that are net producers of energy, food, clean water and air, beauty, and healthy human and biological communities. This paper proposes the methodology that should be undertaken in order to make possible the design of such ecological urban communities

Reverse-engineering of architectural buildings based on an hybrid modeling approach

We thank MENSI and REALVIZ companies for their helpful comments and the following people for providing us images from their works: Francesca De Domenico (Fig. 1), Kyung-Tae Kim (Fig. 9). The CMN (French national center of patrimony buildings) is also acknowledged for the opportunity given to demonstrate our approach on the Hotel de Sully in Paris. We thank Tudor Driscu for his help on the English translation.This article presents a set of theoretical reflections and technical demonstrations that constitute a new methodological base for the architectural surveying and representation using computer graphics techniques. The problem we treated relates to three distinct concerns: the surveying of architectural objects, the construction and the semantic enrichment of their geometrical models, and their handling for the extraction of dimensional information. A hybrid approach to 3D reconstruction is described. This new approach combines range-based modeling and image-based modeling techniques; it integrates the concept of architectural feature-based modeling. To develop this concept set up a first process of extraction and formalization of architectural knowledge based on the analysis of architectural treaties is carried on. Then, the identified features are used to produce a template shape library. Finally the problem of the overall model structure and organization is addressed

State-of-the-art on research and applications of machine learning in the building life cycle

Fueled by big data, powerful and affordable computing resources, and advanced algorithms, machine learning has been explored and applied to buildings research for the past decades and has demonstrated its potential to enhance building performance. This study systematically surveyed how machine learning has been applied at different stages of building life cycle. By conducting a literature search on the Web of Knowledge platform, we found 9579 papers in this field and selected 153 papers for an in-depth review. The number of published papers is increasing year by year, with a focus on building design, operation, and control. However, no study was found using machine learning in building commissioning. There are successful pilot studies on fault detection and diagnosis of HVAC equipment and systems, load prediction, energy baseline estimate, load shape clustering, occupancy prediction, and learning occupant behaviors and energy use patterns. None of the existing studies were adopted broadly by the building industry, due to common challenges including (1) lack of large scale labeled data to train and validate the model, (2) lack of model transferability, which limits a model trained with one data-rich building to be used in another building with limited data, (3) lack of strong justification of costs and benefits of deploying machine learning, and (4) the performance might not be reliable and robust for the stated goals, as the method might work for some buildings but could not be generalized to others. Findings from the study can inform future machine learning research to improve occupant comfort, energy efficiency, demand flexibility, and resilience of buildings, as well as to inspire young researchers in the field to explore multidisciplinary approaches that integrate building science, computing science, data science, and social science

The complexities of managing historic buildings with BIM

Purpose The adoption of building information modelling (BIM) in managing built heritage is an exciting prospect, but one that presents complexities additional to those of modern buildings. If challenges can be identified and overcome, the adoption of historic BIM (HBIM) could offer efficiencies in how heritage buildings are managed. Design/methodology/approach Using Durham Cathedral as a case study, we present the workflows applied to create an asset information model to improve the way this unique UNESCO World Heritage Site is managed, and in doing so, set out the challenges and complexities in achieving an HBIM solution. Findings This study identifies the need for a better understanding of the distinct needs and context for managing historic assets, and the need for heritage information requirements (HIR) that reflect this. Originality/value This study presents first-hand findings based on a unique application of BIM at Durham Cathedral, a UNESCO World Heritage Site. The study provides a better understanding of the challenges and drivers of HBIM adoption across the heritage sector and underlines the need for information requirements that are unique to historical buildings/assets to deliver a coherent and relevant HBIM approach