• Effect of coefficient of thermal expansion (CTE) mismatch of solder joint materials in photovoltaic (PV) modules operating in elevated temperature climate on the joint's damage

      Ogbomo, Osarumen O.; Amalu, Emeka H.; Ekere, N.N.; Olagbegi, P.O. (Elsevier B V, 2017-09-18)
      With failure of solder joints (SJs) in photovoltaic (PV) modules constituting over 40% of the total module failures, investigation of SJ's reliability factors is critical. This study employs the Garofalo creep model in ANSYS Finite Element Modelling (FEM) to simulate solder joint damage. Accumulated creep strain energy density is used to quantify damage. PV modules consisting of interconnections formed from different material combinations (silver, copper, aluminum, zinc, tin and brass) are subjected to induced temperature cycles ranging from -40 °C to +85 °C. Results show that zinc-solder-silver joint having the highest CTE mismatch of 19.6 ppm exhibits the greatest damage while silver-solder-silver with no mismatch possesses the least damage.
    • Framework for risk management software system for SMEs in the engineering construction sector

      Oduoza, Chike F.; Odimabo, Onengiyeofori; Tamparapoulos, Alexios (Elsevier (Science Direct), 2017-09-18)
      Small and medium-sized enterprises (SMEs) in construction sector are vulnerable and face exposure to risks whilst operating without risk management system in place. Evidence from market research and industry surveys confirm that SMEs underperform due to inability to manage operational risk challenges facing them. The objective of this study is to develop risk management software enabling SMEs in the construction sector to proactively identify, analyse and manage risks facing them to enhance business performance. Performance in the construction sector is assessed in terms of completion time, project execution cost and overall quality of delivery. Research framework based on balanced score card highlights risk indicators affecting performance. The risk software guides operator to avoid, minimise, mitigate or manage the relevant risks to enable successful performance outcome. The system will enable systematic risk management to achieve minimum cost and time overrun while optimising quality of delivery in a project management environment.
    • Framework for sustainable risk management in the manufacturing sector

      Oduoza, Chike (Elsevier, 2020-11-19)
      Risk management is a huge challenge for business managers especially in the manufacturing engineering sector, and if not proactively controlled can lead to under performance and sometimes cessation of activities for some companies. It is common knowledge that poorly managed risks can have an adverse effect on performance while proactive and systematic control of key risk variables in a business environment could generate successful outcomes. The work carried out here has developed a framework for risk management affordable and suitable for use especially by small and medium size enterprises in the manufacturing sector. Using a combination of Bayesian Belief Network (BBN) and Analytical Hierarchical Process (AHP) search algorithms, it was possible to search and identify key risk indicators that could undermine business performance (measured in terms of cost, time, quality and safety) from a system database, and thereby manage (monitor, identify, analyse, reduce, accept or reject their impact) them. The conclusion drawn from the study is that risk management for a manufacturing process can be successfully achieved if risk factors which have a negative impact on project cost, quality of delivery, lead cycle and takt time and health and safety of workers can be identified using BBN and minimised using the framework developed in this study.
    • Guidelines to Aid Project Managers in Conceptualizing and Implementing Risk Management in Building Projects

      Odimabo, Nengi; Oduoza, Chike F (Elsevier, 2018-06-11)
      Risk management has become a critical issue as a result of globalisation and the continued quest for greater returns. Construction organisations most especially in developing countries, approach risk management in building construction projects by using a set of practices that are normally insufficient, produce poor results often, and turn profitable building construction projects into loosing ventures. An integrated risk management approach allows construction organisations to consistently deliver superior performance while proactively managing risk. To address this gap, this paper offers a consolidated risk management system for building projects and provides project managers with guidelines for its proper implementation. In addition to helping project managers in improving risk management capability in building projects, the guideline profiled in this paper may also be of use to practitioners in other project risk management settings.
    • Proposing a conceptual model for cloud computing adoption in upstream oil & gas sector

      Lawan, Mahmud; Oduoza, Chike; Buckley, Kevan (Elsevier, 2020-11-19)
      Cloud computing is a paradigm which offers IT services such as storage, network and processing power via the internet. The technology has gained popularity in recent years with adoption in different sectors due to the numerous benefits it offers such as scalability, flexibility and cost reduction. Although some are quick adopters, others are considered cautious adaptors. The upstream oil and gas industry fall under the latter category due to some challenges with regards to adoption decision. Migrating to a cloud platform depends on a number of factors. A clear understanding of these factors is necessary to enable decision makers in the industry to be more proactive and appropriately guided in their plan towards adoption. Therefore, this study aims to identify the factors that may influence cloud adoption in the industry. A literature review was conducted in order to propose an integrated model, which is a combination of the Technology environment organisation (TOE) framework, institutional theory, and diffusion of innovation. The model groups the factors into three fundamental categories. In addition, the study reports benefits of the cloud technology in the upstream oil and gas sector, challenges hindering adoption, as well as approaches by earlier researchers to support cloud migration in the industry.
    • Technological and economic evaluation of conversion of potential flare gas to electricity in Nigeria

      Ojijiagwo, Emeka Nnanna; Oduoza, Chike F; Emekwuru, Nwabueze (Elsevier, 2018-06-11)
      Globally, over 100 billion cubic metres (BCM) of gas is flared annually and linked to an annual emission of 400 million tons of carbon dioxide. In Nigeria the annual gas production is valued at 33.21 BCM, out of which more than 50% of this volume is wasted through flaring, thereby emitting about 35 million tons of carbon dioxide. About 14.94 BCM of gas produced in Nigeria is used for a variety of activities including electricity generation. Despite this scenario, Nigeria is still unable to generate and distribute enough electricity for the citizenry. This paper therefore proposes the option to divert gas which is normally flared to generate electricity in Nigeria while minimising the associated environmental impacts. The research methodology was based on interviewing top level managers in an electricity generation company, and gas Production Company, as well as the researchers’ site observations within the two case companies. Results from this study showed that electricity generation could be improved from its current daily production rate of 4358 MW to about 12000 MW. This improvement comes from the use of 18.27 BCM of gas currently flared annually in Nigeria, which could potentially be diverted as fuel for 50 units of gas turbine with power output of 150 MW each, with an increase in daily electricity generation of 7500 MW. The study also incorporates an economic analysis for the option to generate electricity as aforementioned.