Ges Rosenberg

A photovoltaic panel modelling method for flexible implementation in Matlab/Simulink using datasheet quantities

This paper presents a detailed method for creating an embedded Matlab model in Simulink for any solar photovoltaic panel starting with its datasheet values. It links extrinsic functions to the Simulink embedded model to provide fast and simple iterative solving of non-linear equations. It also provides a method sufficiently flexible to produce a model output based on panel current or voltage such that it can be cascaded with different Simulink elements.

A Framework for Characterising Infrastructure Interdependencies

The interdependencies within and between infrastructure systems can produce benefits and risks. The perception and value of these relationships can vary significantly depending on the viewpoint of the actors within the system. The current methods for describing these relationships do not necessarily account for these different perspectives, and tend to focus on reducing the risks and vulnerabilities associated with interdependency. By taking a holistic, multi-stakeholder approach of the infrastructure system it is possible to also identify the proactive opportunities for improving efficiency, effectiveness and resilience that can emerge from the relationships. A taxonomy is presented which allows for the characterisation of infrastructure relationships in multiple dimensions, with particular focus on identifying opportunities in a way that is therefore complementary to current methods. An application of this taxonomy to the identification of potentially beneficial relationships within the UK infrastructure system is described.

Barriers to a better Bristol: Diagnosing city strategic sustainability challenges using systems, co-production and interdisciplinary approaches

As European Green Capital 2015 and one of the Rockefeller 100 Resilient Cities, Bristol can legitimately claim to be on the “frontline” of urban sustainability, continually challenging itself to transform into a place where citizens and organisations work together to create wellbeing. Yet the development pathway to achieving this transformation, remains characterised by continuing inequalities in social inclusion, health outcomes and access to transport, despite aspirational goals envisioned by the city’s leaders. The Urban ID (Integrated Diagnostic) project aims to address this, with the intention that the approach will be replicable in different contexts to assist in developing policy strategies at all levels. The project partnership of local authorities, partnerships, businesses, citizens, and universities is creating a “diagnostic approach” to identify and address the challenges and barriers faced in achieving a strategic sustainability vision. The diagnostic approach is being developed through participatory research using systems, co-creation and learning approaches between a diverse range of stakeholders, in combination with the examination of relevant information including city data, expert opinion, and policy documents. A common shortcoming of projects addressing sustainability in a holistic way is that individual issues are investigated without consideration of the interdependencies between them and with a ‘business-as-usual’ mindset. To address these shortcomings, Urban ID focusses on several local case studies as well as a city-wide sustainability community case study. These are examined through the ‘lenses’ of mobility and accessibility, carbon neutrality, health and happiness, and equality and inclusion. As a result, all issues in a case study area are examined, to better understand the links between them. This paper provides an overview of the Urban ID concept and development of the diagnostic approach, and reports the initial findings and outcomes from a first-round of engagement activities in the Bristol Green Capital Partnership (BGCP) sustainability community case study, co-produced with BGCP CIC