Tag Archives: Energy

Joint Supergen Energy Networks Hub and National Energy Action workshop

Supergen Energy Networks (SEN) Hub is committed not only to researching energy networks solutions/technologies to help achieve net-zero, but also to ensuring that any future transition to net-zero is a ‘just transition’.

National Energy Action (NEA) is the national charity working to end fuel poverty in England, Wales, and Northern Ireland. The work of NEA is more important than ever, with households across the country facing rising energy bills.

On 5th April the SEN Hub and NEA hosted a joint workshop to discuss the ‘Opportunities for DNOs to address the energy crisis.’ The purpose of the workshop was to better understand the opportunities for energy networks – particularly Distribution Network Operators (DNO) – to support vulnerable customers during the energy crisis and overcome barriers that they may encounter to ensure all customers can benefit in the transition to net zero.

Aims and Objectives:

The workshop, attended by NEA, SEN researchers and industrial representatives, was successful in identifying multiple areas where DNOs could further support fuel-poor households in the context of increased energy prices. There was agreement that:

  • In the short term, DNOs can help ensure low-income and vulnerable households are better supported through the current energy crisis and can use their role to press for more progressive outcomes in network charging and the recovery of supplier failure costs.
  • Local Authorities and DNOs should be key partners in helping to deliver a fair and affordable transition to net zero.
  • Energy efficiency forms one of three key pillars to ensuring network costs can be kept at a minimum, alongside flexibility and network upgrades, but it is the element that has been the least utilised to date.
  • There is a need for greater clarity from the Government and Ofgem on the role of DNOs regarding the energy efficiency of domestic properties.
  • Considerable work has been undertaken to improve the affordability of upgraded connections to the electricity network for all customers.
  • More research will be required to better understand the impact of upgraded connections on the low voltage networks, including the impact on cables and EV integration, and how to enable smoother connections to the grid in a way that does not put pressure on the network.

Collaboration

Continued collaboration including a report and next steps from NEA which makes the following recommendations for both DNOs and research institutions:

  1. Bring together DNOs and Combined Authorities for more constructive working.
  2. Ensuring fairer recovery of Supplier of Last Resort (SOLR) levy costs.
  3. Providing clarity to DNOs regarding Energy Efficiency.
  4. DNOs should develop an energy efficiency beacon project
  5. DNOs should ensure no fuel-poor households must pay to upgrade their connection when installing a heat pump.
  6. Researching the impact of shallow connection costs
  7. DNOs and research organisations should conduct research to better understand the impact of upgraded connections on the low voltage network.

If you would like to find out more about the workshop and collaboration please get in contact with the SEN Admin Team.

EDI Blog Series: Challenges in Your Career Pathway

About the Author:

Professor Sara Walker is the Director of The Centre for Energy, in the School of Engineering. Her research focusses on renewable energy and energy efficiency in buildings, energy policy, energy resilience, and whole energy systems.

Sara is Director of the EPSRC National Centre for Energy Systems Integration, Deputy Director of the EPSRC Supergen Energy Networks Hub, and Deputy Research Director of the Active Building Centre.

 

My journey to Professorship

In November of 2021 I was promoted to Professor of Energy at Newcastle University. This has felt like such a career landmark for me.

I was brought up by my parents in Cramlington, a town to the north of Newcastle. When I was young my father was made redundant and the family moved into council housing. I never considered myself as poor, but I do remember we grew potatoes in the garden to save on food shopping and me and my younger sister would wear hand-me-down clothes. My older sister left school at 16 and got a job working in hospitality, and as my parents’ financial situation improved they were able to purchase their council house, but we were by no means affluent! At 15 I got a Saturday job at Whitley Bay ice rink in the cafeteria, and I started to earn my own money which was very empowering.

When I went to university at Leicester I noticed that my financial situation wasn’t the same as others around me. I had a grant from the council to cover most of my living costs and my parents also contributed to top my grant up. I got a part time job working at the bar in the students union, and also worked part time in a local pub. During summer vacations I always worked, normally bar work. I remember waiting to use the public telephone one weekend to chat to my parents whilst at university, and watching the person on the phone in front of me crying crocodile tears to her dad. She needed money to buy a ball gown since it wasn’t fair for her to be expected to wear her existing ball gown that she’d already worn. That’s when it really struck me that some of my fellow students were really well off! I didn’t join expensive societies like skiing and horse riding, I didn’t go to lots of balls and social events. For my graduation ball I hired my dress.

When I finished my undergraduate course in physics I was offered a PhD by my personal tutor at the university. I didn’t really know what a PhD was, I had been first in my family to go to university, and I turned it down. Instead, I did a teacher training course and got a job as teacher. After teaching for a short while I decided to go back to university to do a masters course in environmental science, because I had got really interested in energy issues through voluntary work. This led onto a research job, and an opportunity to complete a PhD part time whilst working as a researcher. I think this is the only way I could have completed a PhD since I didn’t have the financial resources to support myself on a student bursary. The part time PhD took five years whilst I worked as researcher and during that time I had my son Toby.

My early experience of academia was still affected by my background somewhat. I had to think carefully about attending academic conferences, because I didn’t know how long it would take for my expenses to be paid back. One time an expensive overseas trip wasn’t paid in time before I had to pay the credit card bill, and I could only pay the minimum and incurred interest, something I couldn’t claim back from my employer. Conference dinners were a minefield, I didn’t have lots of spare cash to spend on cocktail dresses. Even work suits were often bought from the catalogue and paid for monthly when I first started out. Later in my career, financially and socially I found myself excluded from social events and the associated networking opportunities of corporate boxes at football, or golf at exclusive members courses.

Academic statistics do not portray the full picture

HESA statistics are available, to tell us something of the makeup of our UK professoriate. In 2019/20 there were 22,810 professors, of which 6,345 are “female”, 16,415 “male” and 50 “other” gender. Of the 21,055 professors with known ethnicity, 2,285 are BME. 735 professors are known to have a disability. Looking just at engineering, this discipline areas has the lowest proportion of female academics (see figure below). There are no statistics for socio-economic group, and no statistics for intersectionality (i.e. we don’t know how many BME are female, or how many BME have a disability, for example). There are also statistics for grant applications and success from EPSRC, by gender. Data for other protected characteristics are lacking.

 

Source: Departmental demographics of academic staff

Source: EPSRC Understanding our Portfolio

I am acutely aware of the lack of role models in academia from lower socio-economic backgrounds. But there are also a lack of role models who are LGBTQ+, minority ethnic, disabled, non-white, from different faiths, or any combination of these. In seeking out these role models, we expect people to be open about their protected characteristics, regardless of the discrimination this may attract.

Raising up colleagues, giving equality of opportunity, and being more aware of the potential barriers to engagement, are approaches we are taking at Newcastle University’s Centre for Energy. For example, we are working hard to encourage involvement from all job families in the Centre for Energy – research as an activity spans so many jobs including project managers, technicians, finance, research students, research staff and academic staff, for example. We want the Centre itself to address issues of fairness and equity in energy research, and so we have a theme on Justice, Governance and Ethics. We are tackling global issues of energy transition, issues which need a range of perspectives across gender, race, (dis)ability, sexual orientation and religion in order to come up with solutions that work for the majority, and not the select few.

I have a strong northern accent, and am proud of my roots and to be back in the north east working at a Russell Group university. But I am still that kid from the council estate. And I am proud of that too.

 

COP26: Implications for Energy Networks

Conference of the Parties (COP) is arguably one of the most important international conferences, bringing together governments and policymakers from across the globe to deliberate on matters concerning global climate.

About the Author

Dr. Andreas Elombo is a Research Associate in Future Energy Networks within the Supergen Energy Networks (SEN) Hub, under the School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics (SCEEM) at the University of Bristol.

He holds a Doctor of Philosophy (PhD) in Engineering Science from the University of Oxford (United Kingdom), and a Master of Science (MSc) in High Voltage Engineering from the University of Stellenbosch (South Africa).

 

Conference of the Parties (COP)

Since the first COP meeting in 1995, member countries have convened annually to agree guidelines that could be adopted by all member countries in order to commit to abating the global threat of climate change.

The Paris Agreement (2015) took on the mandate to hold to account all its signatories on the pledges they have made to reduce their greenhouse gas emissions, and commit to working together to limit global warming to below 2℃ or, more ambitiously, below 1.5℃ compared to pre-industrial levels.  

Figure 1 shows the Climate Action Tracker thermometer, an independent scientific tool that tracks government climate action and measures it against the globally agreed Paris Agreement targets.

Figure1: Climate Action Tracker Thermometer

Key Outcomes of COP26

In the context of the renewed urgency brought about by the fast-rising global temperatures, COP26 was a meeting at which countries of the world were faced with the pressure to arrive at a concrete agreement that helps put into action all tools required to move toward a net-zero global economy by 2050. Two key outcomes that capture the essence of this urgency are the Glasgow Climate Pact, as well as the finalization of the Paris Rulebook.

What do the outcomes of COP26 mean for energy networks?

There is an international consensus that now is the time to act with renewed efforts toward alleviating the impact of climate change and ensure that the factors contributing to the climate change crisis are abated.

Specific outcomes include the intensified drive to limit global temperatures below 1.5℃, the phasing down of coal-based power and the phase-out of fossil fuel subsidies, climate change and adaptation finances, and carbon markets incentives.  

From the perspective of energy networks, it means that the energy networks will need to adapt to the new energy resources and applications by essentially undergoing a rapid transformation that enables these networks to serve as a well-suited conduit for delivering energy to customers. The important function of energy networks is to deliver energy to customers in a reliable, sustainable, and cost-effective manner.  

Electric Vehicles

The electrification of motor vehicles has already given rise to the introduction of electric vehicles onto the energy networks. This is a new load that must be served by the energy networks. The charging of these vehicles, as one can imagine, will be very stochastic in nature. Combining the stochasticity of the charging of these vehicles with the intermittency in energy generation gives rise to a chaotic reality.

Heating

The heating sector is also undergoing a rapid revolution of decarbonization. It is believed that green hydrogen will act as cushion that will allow us to transition from fossil-based oil and gas dependency into an era of low-carbon heating. Existing heating fuel will most likely adopt green hydrogen in place of methane-based gas heating. What this means for energy networks is that the existing gas networks will need to undergo re-designing or some sort of adaptation in order to be able to transport green hydrogen reliably and securely.

Conclusions

The role of the energy sector in bringing about a net-zero reality is immense. Fossil fuels will be replaced with low-carbon energy resources such as solar, tidal, and wind energy resources, motor vehicles will be electrified, and heating will adopt green hydrogen as a form of fuel. All of this requires energy networks that are capable to deliver energy to customers in a reliable, sustainable, and cost-effective manner while navigating the complexity that arises from the integration of the variable energy sources (solar, tidal, and wind energy) and smart energy applications (V2G, demand-side response (DSR)).

The race is on. The task is decarbonization. It is a global task. Collaboration is essential in accomplishing this task.  

The full article is available to download.

 

Who perseveres wins!

About the Author:

Dr Susan Claire Scholes is a post-doctoral researcher within the School of Engineering.  Susan’s current research is in the field of whole systems energy research, working with the Supergen Energy Networks Hub at Newcastle University.

Previous research interests were in bioengineering where Susan was responsible for the investigation of explanted metal-on-metal hip prostheses and explanted knee prostheses.

 

Matlab and the GB Network System

Let me tell you a story….  It feels like it started a long, long time ago but in reality it has only been 20 months (this may still seem like a long time to some, depending on your age!).  Twenty months of hard work but important work.  This is when I started working on a model of the GB network system.  This model already existed [1, 2] but it needed some work to be done on it to allow it to perform the tasks that I required.

Now, I had minimal experience (or knowledge) on Matlab but I am always eager to learn so I saw this as an opportunity to develop my research skills even further (I’ve been working in academic research for 21 years now, so it’s never too late to learn!).

I familiarised myself with Matlab and the model so I understood the background to my project; and this understanding developed as the time progressed.  The adjustments needed on the model were only small; small in capacity but mammoth in the necessary effort to succeed!

The cost functions of each generation type in the GB network model were already in the model but they were just given as merit order equations; this was so the model was able to calculate the proportion of expected generation from each type of generation provider (wind, gas, coal, nuclear and hydro).  But I needed it to calculate the true costs.

I knew this wouldn’t be easy, or quick!  As a modeller, it is important to analyse results obtained and question their validity; you need to have confidence in the results that your model provides.  It is essential that you compare your results with appropriate published data and relevant work done by others.

Using known data from previous years I was able to identify when the results from my model were not as good as they needed to be; and it allowed me to gain confidence in my work as it developed.  This was an iterative process that required many hours of hard and repetitive work.

To get this done well it required a lot of effort and determination (and a few handkerchiefs to mop up the inevitable tears of frustration!).  For months I was stuck in what seemed to be a never-ending loop:

  • adjust the model, write the script, run the model – no joy
  • adjust the model, adjust the script, run the model – it works!, review the results
  • adjust the model/script, run the model – it works (but sometimes it didn’t!), review the results
  • adjust the model/script, run the model – it works!, review the results, confirm results, add results to paper, find some new information
  • adjust the model/script, run the model – it works!, review the results, confirm results, add results to paper, find some new information
  • again, again and again until…
  • adjust the model/script, run the model – it works!, review the results, confirm results, write the paper (with confidence that the model used is the most appropriate and performs the task well) and submit!

So, what have I learned during this time?  Perseverance is key, determination is needed and patience would have been a bonus but I’ve always lacked in that!  Unexpected things, like the University’s cyber security attack, and even a pandemic, can be obstacles but with the correct support they are not insurmountable.  I also needed to learn that all models have their limitations.

You can minimise these limitations to produce the best model for your purpose but your model cannot do all, it will not be suitable for everything.  Spend time on the model, like I say, for it to produce relevant results for your work but understand that there will always be limitations as to what the model can do.

As long as you are aware of these and you are able to explain the limitations imposed on your work (and why these are acceptable) then you should feel proud.  Proud of the valid, valuable work you have achieved and the advancements you have made in your field of research.  It was all worth it in the end!

References

  1. Bell, K.R.W. and A.N.D. Tleis. Test system requirements for modelling future power systems. in IEEE PES General Meeting. 2010.
  2. Asvapoositkul, S. and R. Preece. Analysis of the variables influencing inter-area oscillations in the future Great Britain power system. in 15th IET International Conference on AC and DC Power Transmission (ACDC 2019). 2019.