Browsing by Author "Connor, Peter M."
Now showing 1 - 5 of 5
Results Per Page
Sort Options
Item Open Access Energy transition at local level: analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment(Elsevier, 2020-11-03) Balta-Ozkan, Nazmiye; Yildirim, Julide; Connor, Peter M.; Truckell, Ian; Hart, PhilA growing literature highlights the presence of spatial differences in solar photovoltaic (PV) adoption patterns. Central to forward planning is an understanding of what affects PV growth, yet insights into the determinants of PV adoption in the literature are limited. What factors do drive the adoption at local level? Are the effects of these factors geographically uniform or are there nuances? What is the nature of these nuances? Existing studies so far use aggregate macro datasets with limited ability to capture the role of peer effects. This paper considers some established variables but also broadens the base of variables to try to identify new indicators relating to PV adoption. Specifically, it analyses domestic PV adoption in the UK at local level using data on the number of charities as a proxy to capture the opportunities to initiate social interactions and peer effects. A geographically weighted regression model that considers the spatially varying relationship between PV adoption and socio-economic explanatory variables reveals significantly more variability than the global regression. Our results show that charities and self-employment positively influence PV uptake while other socio-economic variables such as population density has bidirectional impacts.Item Open Access FAR out? An examination of converging, diverging and intersecting smart grid futures in the United Kingdom(Elsevier, 2020-07-07) Balta-Ozkan, Nazmiye; Watson, Tom; Connor, Peter M.; Axon, Colin J.; Whitmarsh, Lorraine; Spence, Alexa; Baker, Philip E.We describe a novel application of the field anomaly relaxation (FAR) method of scenario construction to the complex problem of smart grid development. We augment the FAR methodology with extensive expert input through all four steps to incorporate detailed knowledge of the technical, economic and policy issues relevant to informing scenarios for smart grid development in the United Kingdom. These steps inform scenarios useful to policymakers, regulators and the energy industry. We found this extended method to be flexible and reliable. Analysis of smart grid development yielded seven dimensions, allowing for portrayal of a complex and informed set of scenarios. The expert input and feedback identified branching points allowing switching between scenarios – a powerful dynamic feature to assist policy development for a fast-changing technological and regulatory landscape.Item Open Access Innovative network pricing to support the transition to a smart grid in a low-carbon economy(Elsevier, 2018-02-16) Faerber, Laura Antonia; Balta-Ozkan, Nazmiye; Connor, Peter M.This paper outlines how current distribution network pricing can be revised to enable transition to a smart grid in a low-carbon economy. Using insights from expert interviews, it highlights multiple trade-offs between innovative pricing approaches and regulatory principles which might be resolved by a political decision on how the costs should be recovered or socialised. It then identifies four essentials for a successful implementation of a new mechanism: (i) Closer collaboration between TSO and DNO/DSO concerning local dispatch to improve system efficiency. (ii) Installation of smart meters to collect data providing information about the actual contribution to the grid utilisation of each customer. (iii) Intensified cooperation between supplier and DNO/DSO to pass-through the price signal on the electricity bill. (iv) A legislative framework to facilitate data sharing and data management and communication among network stakeholders – essentially a relaxation of current privacy legislation as an enabler for new approaches to network management, and potentially to reduce costs to the consumer. This suggests the focus for future network pricing should be on services and functions provided by the grid rather than on the commodity power itself.Item Open Access Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach(Elsevier, 2015-08-15) Balta-Ozkan, Nazmiye; Yildirim, Julide; Connor, Peter M.Photovoltaic (PV) panels offer significant potential for contributing to the UK's energy policy goals relating to decarbonisation of the energy system, security of supply and affordability. The substantive drop in the cost of panels since 2007, coupled with the introduction of the Feed-in Tariff (FiT) Scheme in 2010, has resulted in a rapid increase in installation of PV panels in the UK, from 26.5MWp in 2009 to over 5GW by the end of 2014. Yet there has been no comprehensive analysis of the determinants of PV deployment in the UK. This paper addresses this gap by employing spatial econometrics methods to a recently available data set at a fine geographical detail. Following a traditional regression analysis, a general to specific approach has been adopted where spatial variations in the relationships have been examined utilising the spatial Durbin model using the cross-sectional data relating to the UK NUTS level 3 data. Empirical results indicate that demand for electricity, population density, pollution levels, education level of households and housing types are among the factors that affect PV uptake in a region. Moreover Lagrange Multiplier test results indicate that the spatial Durbin model may be properly applied to describe the PV uptake relationship in the UK as there are significant regional spillover effects.Item Open Access UK smart grid development: an expert assessment of the benefits, pitfalls and functions(Elsevier, 2015-03-27) Xenias, Dimitrios; Axon, Colin J.; Whitmarsh, Lorraine; Connor, Peter M.; Balta-Ozkan, Nazmiye; Spence, AlexaMaking electricity grids smarter is a challenging, long-term, and ambitious process. It consists of many possible transitions and involves many actors relevant to existing and potential functions of the grid. We applied a two round Policy Delphi process with a range of sectoral experts who discussed important drivers, barriers, benefits, risks and expected functions of smarter grids, to inform the development of smarter grids. Our analysis of these expert views indicates broad consensus of the necessity for smarter grids, particularly for economic and environmental reasons; yet stakeholders also associated a range of risks and barriers such as lack of investment, disengaged consumers, complexity and data privacy with measures to make the grid smarter. Different methods for implementing smarter grid functions were considered, all thought to be more likely in urban settings. Implications for policy and future research are considered.