PhD Study : Developing a high-resolution spatial model to assess solar photovoltaic panel suitability for reduction of greenhouse gas emissions and energy costs

Apply and key information  

Summary

Low Carbon Technologies such as solar PV can reduce greenhouse gas (GHG) emissions and generate electricity for self-consumption, which cut down the import of energy from the grid which is susceptible to energy price shocks.

Geographic Information Systems (GIS) and remote sensing have demonstrated high levels of effectiveness for identifying suitable sites for solar PV at a range of spatial scales. Light Detection and Ranging (LiDAR) data are highly suited for modelling small scale features in complex landscapes. This project aims to determine the potential of solar PV to reduce CO2 emissions and reduce energy demand for a region of Northern Ireland by using LiDAR and ancillary spatial data to create a high-resolution solar PV suitability model.

The successful candidate is expected to acquire, process, and analyse geospatial data, particularly collected through remote sensing methods including LiDAR, to develop a spatial model for solar PV panel suitability. The candidate will also calculate a range of metrics based on solar PV models relating to GHG emissions and residential energy demand, along with reviewing and analysing the opportunities and challenges towards adopting solar PV panels in Northern Ireland.

AccessNI clearance required

Please note, the successful candidate will be required to obtain AccessNI clearance prior to registration due to the nature of the project.

Essential criteria

Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.

We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.

In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.

  • Experience using research methods or other approaches relevant to the subject domain
  • A comprehensive and articulate personal statement
  • A demonstrable interest in the research area associated with the studentship

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Research project completion within taught Masters degree or MRES
  • Practice-based research experience and/or dissemination
  • Experience using research methods or other approaches relevant to the subject domain
  • Work experience relevant to the proposed project
  • Publications record appropriate to career stage
  • Experience of presentation of research findings
  • Use of personal initiative as evidenced by record of work above that normally expected at career stage.

Funding and eligibility

The University offers the following levels of support:

Vice Chancellors Research Studentship (VCRS)

The following scholarship options are available to applicants worldwide:

  • Full Award: (full-time tuition fees + £19,000 (tbc))
  • Part Award: (full-time tuition fees + £9,500)
  • Fees Only Award: (full-time tuition fees)

These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Please note: you will automatically be entered into the competition for the Full Award, unless you state otherwise in your application.

Department for the Economy (DFE)

The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £19,000 (tbc) per annum for three years (subject to satisfactory academic performance).

This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

  • Candidates with pre-settled or settled status under the EU Settlement Scheme, who also satisfy a three year residency requirement in the UK prior to the start of the course for which a Studentship is held MAY receive a Studentship covering fees and maintenance.
  • Republic of Ireland (ROI) nationals who satisfy three years’ residency in the UK prior to the start of the course MAY receive a Studentship covering fees and maintenance (ROI nationals don’t need to have pre-settled or settled status under the EU Settlement Scheme to qualify).
  • Other non-ROI EU applicants are ‘International’ are not eligible for this source of funding.
  • Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Due consideration should be given to financing your studies. Further information on cost of living

Recommended reading

Department for Business, Energy, and Industrial Strategy (2022) 2020 UK Greenhouse Gas Emissions, Final Figures, https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1051408/2020-final-greenhouse-gas-emissions-statistical-release.pdf [Accessed 20.10.22]

Dinesh, H and Pearce, JM (2016) The potential of agrivoltaic systems, Renewable and Sustainable Energy Reviews, 54, 299, https://doi.org/10.1016/j.rser.2015.10.024

Finn, T and McKenzie, P (2020) A high-resolution suitability index for solar farm location in complex landscapes, Renewable Energy, 158, 520, https://doi.org/10.1016/j.renene.2020.05.121

Gawley, D and McKenzie, P (2022) Investigating the suitability of GIS and remotely-sensed datasets for photovoltaic modelling on building rooftops, Energy and Buildings, 265, 112083, https://doi.org/10.1016/j.enbuild.2022.112083

Hoicka, CE, Lowitzsch, J, Brisbois, MC, Kumar, A and Camargo, LR (2021) Implementing a just renewable energy transition: Policy advice for transposing the new European rules for renewable energy communities, Energy Policy, 156, 112435,
https://doi.org/10.1016/j.enpol.2021.112435.

Jaeger, J, Gonçalves, T, Harsono A and Bird, L (2022) Renewable Energy Shouldn’t Be Blamed for Spiking Energy Prices — It's the Solution. https://www.wri.org/insights/why-renewable-energy-solution-high-prices [Accessed 20.10.22]

Jakubiec, JA and Reinhart, CF (2013) A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations, Solar Energy, 93, 127, http://dx.doi.org/10.1016/j.solener.2013.03.022

Lagendijk, A, Kooij H-J, Veenman, S, Oteman, M (2021) Noisy monsters or beacons of transition: The framing and social (un)acceptance of Dutch community renewable energy initiatives, Energy Policy, 159, 112580, https://doi.org/10.1016/j.enpol.2021.112580

Nonhebel, S (2005) Renewable energy and food supply: will there be enough land? Renewable and Sustainable Energy Reviews, 9(2), 191, https://doi.org/10.1016/j.rser.2004.02.003

Schulte, E, Scheller, F, Pasut, W and Bruckner, T (2022) Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies, Energy Research & Social Science
83, 102313, https://doi.org/10.1016/j.erss.2021.102313

Stowell, D, Kelly, J, Tanner, D, Taylor, J, Jones, E, Geddes, J and Chalstrey, E (2020) A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK, Scientific Data, 7, 394, https://doi.org/10.1038/s41597-020-00739-0

The Doctoral College at Ulster University

Key dates

Submission deadline
Monday 6 February 2023
04:00PM

Interview Date
Week commencing 20 March 2023

Preferred student start date
18th September 2023

Applying

Apply Online  

Contact supervisor

Dr Paul McKenzie

Other supervisors