Activities

Abby-Net Summer Schools

The Abby-Net summer schools take place since 2012 with alternating between locations in Alberta and Bavaria. Abby-Net summer schools center around the interdisciplinary approach on energy transitions by bringing together students from various scientific discipline and letting them work in mixed teams to develop concepts and approaches to sustainable energy transitions.

Download an Overview of the Student Participation 2012-2019

CANCELED
8th Abby-Net Summer School in St. Ottilien,(Bavaria) between 13th and 20th of August 2020.
Natural Resource Management and Energy Systems under Changing Environmental Conditions.

Due to the Corona outbreak and the uncertainty on how long the state of emergeny will last, we had to cancel this years summer school. We regret that we had to take this step and hope to come back with a 2021 summer school.

7th Abby-Net Summer School at the Barier Lake Station (Alberta) 2019:
Trends in Future Energy Transitions

The purpose of the 7th ABBY-Net Summer School was to train young scientists in interdisciplinary approaches to energy and ecosystem research. The course focused on resource-management issues in the province of Alberta, and the impact of resource extraction on natural ecosystem functioning. Students had seminars on key extra-disciplinary topics (energy systems, environmental systems, energy economics, and data analysis), and participated in field excursions designed to educate participants on local resource-management issues. Finally, the participants developed inter-disciplinary research proposals designed to solve practical problems related to energy development in Alberta.

See the article on the Summer School at the Future Energy Systems site of the University of Alberta

6th Abby-Net Summer School in Burg Trausnitz (Bavaria) 2018:
Trends in Future Energy Transitions

The goal of this summer school was to identify trends in energy transitions, their environmental impacts and societal influence. Given such a trend students developed possible scenarios on how the trends will develop in the future.

5th Abby-Net Summer School in Kananaskis (Alberta) 2017:
Future interdisciplinary Research for sustainable Energy Transitions

The goal of this summer school was to bring together students from participating areas of research and enable them to write their own interdisciplinary reaserch proposal in one oft the Abby-Net key topics.

4th Abby-Net Summer School in Ottmaring (Bavaria) 2016:
Future interdisciplinary Research for sustainable Energy Transitions

3th Abby-Net Summer School in Kananaskis (Alberta) 2014:
Future interdisciplinary Research for sustainable Energy Transitions

2nd Abby-Net Summer School in Kloster Banz (Bavaria) 2013:
Future interdisciplinary Research for sustainable Energy Transitions

1st Abby-Net Summer School in Kananaskis (Alberta) 2012:
Future interdisciplinary Research for sustainable Energy Transitions

Abby-Net Online Lecture Series 2021

In this monthly lecture series AbbyNet members present recent results on research related to energy systems and their impacts to environment and society. In addition, talks will provide developlments in data engineering and artificial intelligence related to these topics.

(Hi)Stories of Energy Transitions
by Petra Dolata

Date: Wednesday, June 23, 2021
Time: 10am to 11am MST/18:00 to 19:00 CET

As current discussions revolve around decarbonizing the economy, net zero emissions targets and the upcoming global energy transition, understanding society’s role in such transformative processes will be paramount. Recognizing that energy transitions also include social and cultural transformations and conceptualizing energy systems and regimes as socially constructed and narrated, histori ans examine specific energy transitions in the past as well as the many stories that have been created to make sense of and frame these transformative processes. They investigate how individuals, communities and nations have caused, adapted to and rejected changes in energy systems providing a better understanding of historical resilience and agency while facilitating empathy, especially since energy transitions are oft en connected to processes of deindustrialization and entail winners and losers. In this presentation, I will present some histories and stories of energy transitions and discuss how societies and cultures have responded differently to and created different stories about the same energy challenges. This diversity of historical experiences and narratives highlights how important it is that we know more about our energy pasts. Such historical knowledge facilitates informed discussions about our energy futures that include and give voice to every citizen and have the potential to facilitate the creation of just and sustainable policies.

The Uncertainties of Modelling Hydrology under a Changing Climate
by Tricia Stadnyk

Date: Wednesday, May 26, 2021
Time: 10am to 11:00am MST/18:00 to 19:00 CET
slides of the talk

Canada is experiencing some of the most accelerated climate driven change in the world, which has direct impacts to our water supply and water security, and in turn energy security. With more extreme and intense floods and drought, sustainable management and distribution of water depends on accurate a priori knowledge of changes in the water cycle as well as human control over regional water distribution. For this, models are required to accurately predict and project changes in runoff and water balance, and the associated environmental impacts of local scale change on continental supply. Dealing with the uncertainties in these projections, however, is a difficult task particularly for water resources operations. In this talk, I will discuss recent approaches used to detect changes in long term , Canadian water supplies with improved reliability, including flood and drought extremes and their impact on prediction of energy supply for the hydropower industry. Diagnosing and dealing with uncertainty is critical for improving the reliability of hydrologic prediction. With more than 60% of Canada’s water draining North, understanding the cumulative downstream changes and impact s of change is crucial for ecosystems, water security, and the Canadian economy.

Interpretable PID Parameter Tuning for Control Engineering using General Dynamic Neural Networks
by Klaus Diepold

Date: Wednesday, April 28, 2021
Time: 10am to 11:15am MST/18:00 to 19:15 CET

Automation in complex (energy) systems rely on closed loop control, wherein a controller interacts with a controlled process via actions, based on observations. These systems are increasingly complex, yet most deployed controllers are linear Proportional Integral Derivative (PID) controllers. PID controllers perform well on linear and near linear systems but their simplicity is at odds with the robustness required to reliably control complex processes. Machine learning techniques are a way to extend controllers beyond their linear control capabilities by using neural networks. However, such an extension comes at the cost of losing stability guarantees and controller interpretability. I review the utility of extending PID controllers with recurrent neural networks and show that this approach performs well on a range of complex control systems a nd highlight how they can be a scalable and interpretable option for modern control systems. I also address the lack of interpretability that prevents neural networks from being used in real world control processes. I discuss bounded input bounded output stability analysis to evaluate the parameters suggested by the neural network, making them interpretable for engineers. This combination of rigorous evaluation paired with better interpretability is an important step towards the acceptance of neural network based control approaches for real world systems. It is furthermore an important step towards interpretable and safely applied artificial intelligence.

Talks on AI and Energy

Reinforcement Learning-based Control of Building Subsystems
by Omid Ardakanian

Date: Wednesday, March 24, 2021
Time: 10:00 am to 10:30 am MST/ 17:00 to 17:30 CET
slides of the talk

Commercial buildings consist of multiple mechanical and electrical systems that work in tandem to provide a healthy, safe, and comfortable environment for occupants. These systems have complex interactions with each other and consume a large amount of energy. In this talk, we apply three model free deep reinforcement learning algorithms to jointly control HVAC and blind systems in a multi zone test building, in scenarios with and without automatic dimming of the lights in response to daylight levels. The control agents are trained through interactions with a building simulator that generates traces for the movement of occupants. We investigate the three way trade off between energy use, thermal comfort, and visual comfort, and discuss how the joint control of the building systems could provide a better trade off compared to when they are controlled separately. We compare the perform ance of the proposed control algorithms assuming the availability of occupancy data with two spatial resolutions and confirm through experiments that a better trade off can be achieved should zone level occupancy information become available. Incorporating zone level occupancy information, we show that 11.0% and 31.8% more energy can be saved respectively in heating and cooling seasons over existing rule based baselines that control the same building systems.

Smarter, better, cheaper? The potential of AI in energy systems in two exemplary applications
by Thomas Plankenbühler and Sebastian Kolb

Date: Wednesday, March 24, 2021
Time: 10:30 am to 11:00 am MST/ 17:30 to 18:00 CET
slides of the talk

In the interplay of liberalised energy markets, the need for more energy efficiency and the goal of carbon neutrality, there is a clear need to make energy production more intelligent, aiming at an increase in efficiency and economic profit. The use of mod ern computational approaches often framed as “AI” is one option to work towards those goals. This talk presents and discusses potential usages and benefits of AI in energy systems on the basis of two applications. The first case addresses the challenges of intermittent renewable energy production and volatile commodity prices on the operation of Power to Gas rectors. In order to run the units in an economically optimised and technically feasible way, we establish a model predictive control taking into consi deration market conditions and physical properties of the reactors. In this context, Artificial Neural Networks are introduced to (accurately yet computationally inexpensively) predict prices for electricity, gas and CO2 certificates on a day ahead basis. In the second example we present a work flow for an improved process control of biomass power plants. Introducing predictive thermal load management and a just in time computer vision approach for fuel analysis in the power plant environment, our measures stabilize the furnace while increasing efficiencies and reducing hazardous emissions. Together, these two approaches illustrate the potential of AI assisted control strategies in future energy systems.

Power on Short Notice: Roles and Applications of Mechanical Energy Storage Systems
by Pierre Mertiny

Date: Wednesday, Februar 24, 2021
Time: 10am to 11am MST/18:00 to 19:00 CET
slides of the talk

The intermittent behavior of wind and solar power generation,and the entrance of electric mobility into the marketplace will require the addition of significant energy storage capacity to the current power infrastructure. Fluctuations in power generation and demand present challenges in load balancing, electric grid reliability, and power quality. Energ y storage (ES) is anticipated to provide the solution to these issues but is far underutilized and lacking in diversity. In the United States, only 2.5% of the delivered electrical energy uses ES as a critical component in maintaining a reliable supply of energy. Flywheel energy storage is a form of mechanical ES that has been implemented into power systems to reduce power spikes, provide frequency regulation, improve power quality, and serve as uninterrupted power supply, due to advantageous characteristic s of this technology. The latter includes high charge and discharge rates, lifetimes ranging up to 20 years, and high specific energy. Further, flywheel energy storage systems do not experience depth of discharge effects and have a relatively high cycle efficiency up to 95% depending on the electrical components. While flywheel energy storage has a wide variety of application across many industries, the technology is still developing. The presentation explores this technology and its opportunities in the co ntext of a changing power infrastructure.

Climate Change and Energy Systems – a Sensitive Interface
by Ralf Ludwig

Date: Wednesday, January 27, 2021
Time: 10am to 11am MST/18:00 to 19:00 CET
slides of the talk

Climate change is expected to have severe impacts on energy demand patterns and supply systems. In addition to gradual transitions (such as rising temperature and decreasing precipitation) it is projected that hydrometeorological extreme events are increasing both in terms of intensity and frequency. The susceptibility to climate variability and climate change in general, and extreme events in particular, depends strongly on the energy systems in place, with renewables, due to their direct dependency on climate variables, likely to be much stronger affected. Due to the high regional variability of extreme events and the overall large uncertainties in estimating future extremes under climate change, vulnerability assessment of regional energy sectors to climate extremes remains a highly complex research task. The presentation will introduce to the mutual dependencies of energy systems and climate change as a sensitive interface and will show some examples of expected impacts on various spatiotemporal scales.

Abby-Net Research Workshops

10th Abby-Net Research Workshop at the Kananaskis Field Station (Alberta) in January 2020

At this meeting Abby-Net members discussed ongoing projects and started working on joint proposal allowing phd level students to work on E3 research questions.

9th Abby-Net Research Workshop at the University of Calgary (Alberta) in August 2019

At this workshops Abby-Net researchers and their students presented the results of Abby-Net E3-Projects and related research.
Details on the Workshop

8th Abby-Net Research Workshop at Technical University Munich in August 2018

At this Workshop, AbbyNet members presented the current status of the original E3-Projekts and defined new projects.

7th Abby-Net Research Workshop at the University of Calgary (Alberta) in August 2017

Before the Summer School 2018 in Kananaskis, the second workshop in 2017 took place at the University of Calgary. At this workshop AbbyNet researchers presented first progress in on the first batch of E3 research projects and discussed how to proceed.

6th Abby-Net Research Workshop at Reykjavík University in February 2017

At thie workshop the idea of the E3-Systems Projects was born. Each E3-Project works on a well-defined research question in the context of energy transitions. The E3-Systems projects are usually pursued by master or bachelor students which are co-supervized by an international and interdisciplinary research team.

5th Abby-Net Research Workshop at LMU Munich in August 2016

4th Abby-Net Research Workshop at the University of Calgary (Alberta) in March 2016

3rd Abby-Net Research Workshop at Freising (Bavaria) in April 2015

2nd Abby-Net Research Workshop at the University of Alberta (Alberta) in August 2014

1st Abby-Net Workshop on Wireless Sensor Networks for Environmental Monitoring at LMU Munich in March 2012

Bavarian delegation visit to Alberta in 2011