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Abanda, F H (2011) Knowledge modelling of emerging technologies for sustainable building development, Unpublished PhD Thesis, , Oxford Brookes University.
Al-Nijaidi, H R (1985) Flexibility in the design of buildings, Unpublished PhD Thesis, , Oxford Brookes University.
André, J P C G (2014) Determination of the main parameters affecting the performance of bridge falsework systems, Unpublished PhD Thesis, , Oxford Brookes University.
Bin Sh Said, S A A (2020) The adoption of building information modelling in facilities management, Unpublished PhD Thesis, , Oxford Brookes University.
Brooker, P (1997) Factors which impact on the choice of alternative dispute resolution in the construction industry, Unpublished PhD Thesis, School of Social Sciences and Law, Oxford Brookes University.
Essien, I O (2021) Modelling project complexity for leadership decision making and success in the building construction industry in Lagos, Nigeria, Unpublished PhD Thesis, , Oxford Brookes University.
Farghaly, K (2020) Building information modelling and asset management: Semantic and syntactic interoperability, Unpublished PhD Thesis, , Oxford Brookes University.
Khamaksorn, A (2019) Knowledge transfer processes in international construction joint venture projects in Thailand, Unpublished PhD Thesis, , Oxford Brookes University.
Nanayakkara, L (2012) Site layout: how it is perceived to affect productivity in public sector construction projects in Sri Lanka, Unpublished PhD Thesis, Department of Real Estate and Construction, Oxford Brookes University.
Schröpfer, V (2013) Social network analysis of knowledge transfer in sustainable office building projects in the UK and Germany, Unpublished PhD Thesis, Department of Real Estate and Construction Management , Oxford Brookes University.
Thompson, N J (2003) Relationship marketing and client trust towards contractors within the large private building sector of the UK construction industry, Unpublished PhD Thesis, Department of Real Estate and Construction, Oxford Brookes University.
Usman, Z S (2023) Using Semantic Web technologies to recommend sustainable building technology products, Unpublished PhD Thesis, , Oxford Brookes University.
- Type: Thesis
- Keywords: decision support; reasoning; semantic web; building technology; standards; expert system; integration; sustainable building; consortium
- ISBN/ISSN:
- URL: https://doi.org/10.24384/svj5-gq65
- Abstract:
The rise in global concerns over the continuous increase of greenhouse gas emissions and the increasing demand for energy, has led to an increase in the uptake of sustainable building technology products and photovoltaic (PV) systems technology. However, despite the wide adoption of PV globally as a substitute to the grid, it faces information-related challenges that hinder its adoption. The enormous volumes of information available on these technology products overwhelm intended users when acquiring valuable knowledge to make informed decisions. Similarly, information on PV is represented on the web using non-machine-processable languages that focus on describing the pattern of data rather than execution models. The semantic web and its associated technologies have become state-of-the-art solutions to such knowledge modelling, representation, and reasoning challenges. This research aims to exploit the extent to which semantic web technologies can be used for knowledge modelling in the domain of sustainable building technology products with emphasis on photovoltaic systems. This research develops a unique methodological framework to develop rich and comprehensive theoretical and conceptual knowledge models of the domain. As part of operationalizing the methodology, the research investigates the integration of semantic web with the standardised information foundation classes (IFC) for efficient knowledge discovery. This led to the development of a rich and modular ontology for the PV domain called the IfcOWL_pvOntology that extends the standard IfcOWL ontology to represent knowledge on photovoltaic systems. Consequently, this research further investigates and proposes a selection model with an algorithmic approach for sizing and selection of photovoltaic technology components involving multicriterial design parameters. Backed by mathematical computations, this process model is used alongside the IfcOWL_pvOntology to develop a successfully evaluated semantic web-based navigable prototype system that provides recommendations on choices of PV technology products to intended users. The prototype system is developed to serve as a proof-by-demonstration and a proof of the concepts established in investigating the extent to which semantic web technologies can be exploited to provide decision support in sizing and selection of PV systems to intended users. The decision to extend IFC is paramount because only continuous use can make standards advance. The proposed ontology could be adopted and approved by the buildingSMART working group in the world wide web consortium (W3C) as an official extension of IFC ontology for the photovoltaic technology domain. This prototype will be treated as part of a future large expert system where the knowledge and inference models will be used in practice in the industry to provide decision support for not only photovoltaic systems but other sustainable building technology products at large.
Wilkinson, S (1993) Entry to employment: Choices made by qualified women civil engineers leaving higher education, Unpublished PhD Thesis, , Oxford Brookes University.
Yakub, H (1992) Buildings at risk registers: Their influence in reducing risk of dilapidation, Unpublished PhD Thesis, , Oxford Brookes University.
Zhou, L (2009) Achieving sustainable development through the private finance initiative procurement process, Unpublished PhD Thesis, Dept of Construction and Real Estate, Oxford Brookes University.