Evolving perspectives on business and books: practitioner implications

The research subject of this Portfolio of Essays is my ‘apparatus of thought’ in the context of my professional development. I have examined theory and the application of theory to a professional life. I analyse how my use of theory has changed and enabled my professional development. Each of the three Essays takes a different perspective and applies the theories of adult mental development, business and firm growth as an analytical framework. Using Kegan’s theories of Adult Mental Development as an ‘apparatus of thought’, Essay One is my reflection on my professional development in the light of my training, education, and development. I describe how changes in my ‘apparatus of thought’, my meaning-making system, have enabled me to develop my professional practice. Exposure to the theories of Adult Mental Development have also enabled me to understand how my development has precipitated and necessitated my career changes. In Essay Two, moving from military aviation to book publishing was a major career change for me, enabled by a change in my meaning-making system. In the context of my professional development, I sought to change my practice so that I could make a more meaningful contribution to the firm. To achieve this, I directed my reading towards a deeper understanding of the nature of the firm and the impact of industrial change on the firm. Using the context of my professional environment in Essay Three, I show how my use of theory has developed. I describe how I sought to change working practices in the firm and discuss the impact this initiative had on my professional self. I use the ‘data of my experience’ to examine my theory of the business from a Penrosian perspective. The Penrosian perspective coupled with my exposure to theories of Adult Mental Development and the effects of a transformational education process enabled me to transition to a leadership role with an international online publisher.

The use of fault detection and diagnostics to reduce air handling unit energy consumption

The contribution of buildings towards total worldwide energy consumption in developed countries is between 20% and 40%. Heating Ventilation and Air Conditioning (HVAC), and more specifically Air Handling Units (AHUs) energy consumption accounts on average for 40% of a typical medical device manufacturing or pharmaceutical facility’s energy consumption. Studies have indicated that 20 – 30% energy savings are achievable by recommissioning HVAC systems, and more specifically AHU operations, to rectify faulty operation. Automated Fault Detection and Diagnosis (AFDD) is a process concerned with potentially partially or fully automating the commissioning process through the detection of faults. An expert system is a knowledge-based system, which employs Artificial Intelligence (AI) methods to replicate the knowledge of a human subject matter expert, in a particular field, such as engineering, medicine, finance and marketing, to name a few. This thesis details the research and development work undertaken in the development and testing of a new AFDD expert system for AHUs which can be installed in minimal set up time on a large cross section of AHU types in a building management system vendor neutral manner. Both simulated and extensive field testing was undertaken against a widely available and industry known expert set of rules known as the Air Handling Unit Performance Assessment Rules (APAR) (and a later more developed version known as APAR_extended) in order to prove its effectiveness. Specifically, in tests against a dataset of 52 simulated faults, this new AFDD expert system identified all 52 derived issues whereas the APAR ruleset identified just 10. In tests using actual field data from 5 operating AHUs in 4 manufacturing facilities, the newly developed AFDD expert system for AHUs was shown to identify four individual fault case categories that the APAR method did not, as well as showing improvements made in the area of fault diagnosis.