Alan Colin Brent

Proposing a master’s programme on participatory integrated assessment of energy systems to promote energy access and energy efficiency in Southern Africa

Purpose n n n n nThis paper aims to present a new master’s programme for promoting energy access and energy efficiency in Southern Africa. n n n n nDesign/methodology/approach n n n n nA transdisciplinary approach called “participatory integrated assessment of energy systems” (PARTICIPIA) was used for the development of the curriculum. This approach is based on the two emerging fields of “multi-scale integrated assessment” and “science for governance”, which bring innovative concepts and methods. n n n n nFindings n n n n nThe application of the PARTICIPIA methodology to three case studies reveals that the proposed transdisciplinary approach could support energy and development policies in the region. The implementation of the PARTICIPIA curriculum in three higher education institutions reveals its ability to respond to the needs of specific contexts and its connection with existing higher education programmes. n n n n nPractical implications n n n n nConsidering energy issues from a transdisciplinary approach in higher education is absolutely critical because such a holistic view cannot be achieved through engineering curricula. Deliberate and greater efforts should be made to integrate methods from “multi-scale integrated assessment” and “science for governance” in higher education curricula to train a new breed of modern-day energy planners in charge of coming up with solutions that are shared by all relevant stakeholders. n n n n nOriginality/value n n n n nThis paper presents an innovative higher education curriculum in terms of the attention given to energy access and energy efficiency that affect the southern Africa region and the nature of the methodology adopted to face these issues.

AN INVESTIGATION INTO THE NORMALISATION OF WATER AND ENERGY USAGE IN THE BREWERY INDUSTRY

Benchmarks are often used to assist brewers in identifying improvement opportunities; but a comparison of water and energy performances in breweries is deficient without normalising for differences between facilities. The normalisation of water and energy use was subsequently investigated, using SABMiller breweries as a case study. Drivers of water, electricity, and thermal energy usage obtained from the literature were selected, rationalised, and ranked in a Delphi survey of industry experts, and correlated with data from 64 SABMiller sites. The main drivers identified, and the data from 58 SABMiller sites, were then used to develop multi-variable linear regression (MVLR) models. The models, tested with data from six separate SABMiller sites, were able to predict water, electrical, and thermal energy usage to within a seven per cent error. By eliminating the variability in drivers within the control of brewery staff, the MVLR models were used to normalise the performance indices, and enabled direct comparisons between plants.

Infrastructure implications of a green economy transition in the Western Cape Province of South Africa: A system dynamics modelling approach

ABSTRACT In order to meet future goals in reducing the resulting carbon emissions from transport networks, vast investment in the development of a more energy-efficient and sustainable infrastructure is required. This study investigates the infrastructure implications of a green economy transition in the Western Cape Province of South Africa with a particular focus on the transport sector. Utilising a system dynamics modelling approach, the research effort aimed to improve understanding of how technical, economic, political, social, and environmental factors interact, particularly in the context of the uncertainties encountered during this transition. The key findings of the research indicate that investment in a better public transport system, as well as shifting the movement of freight onto the rail network, would deliver long-term positive effects, including a possible carbon emission reduction of up to 17.89%.