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Understanding the challenges behind Electric Vehicle usage by drivers - a case study in the Madeira Autonomous Region

Conference
Luísa Barros, Mary Barreto, Lucas Pereira
Proceedings of ICT4S 2020, Bristol, UK
Publication year: 2020

Abstract

Electric Vehicles (EV) adoption targets have been set by governments from countries throughout Europe, related to the European goals, for the decarbonization of the road transport sector. The change for electric vehicle technology can be challenging to EV users for several reasons such as battery autonomy, time to charge the vehicle, and the different driving conditions. The work in this paper aims to study how users from Madeira and Porto Santo islands deal with the challenges of EV usage. Furthermore, this paper also studies the role of the orography in the Regenerative Braking System technology integrated into electric vehicles. To assess such information, an online questionnaire was prepared and sent out to the electric vehicle community of both islands.
The main results of this study show drivers’ preference to charge the vehicles at their household and that users are satisfied with the vehicle’s technology. Also, users’ battery range anxiety did not seem to have a significant impact. Moreover, from the drivers’ point of view, there is still the need to study the role of orography, while using the regenerative braking system.

Resources

Submitted Version

Sizing and Profitability of Energy Storage for Prosumers in Madeira, Portugal

Conference
Md Umar Hashmi, Jonathan Cavaleiro, Lucas Pereira, Ana Bušić
Proceedings of 2020 IEEE PES ISGT, Washington, DC, USA
Publication year: 2020

Abstract

This paper proposes a framework to select the best-suited battery for co-optimizing for peak demand shaving, energy arbitrage and increase self-sufficiency in the context of power network in Madeira, Portugal. Feed-in-tariff for electricity network in Madeira is zero, which implies consumers with excess production should locally consume the excess generation rather than wasting it. Further, the power network {operator} applies a peak power contract for consumers which imposes an upper bound on the peak power seen by the power grid interfaced by energy meter. We investigate the value of storage in Madeira, using four different types of prosumers, categorized based on the relationship between their inelastic load and renewable generation. We observe that the marginal increase in the value of storage deteriorates with increase in size and ramping capabilities. We propose the use of profit per cycle per unit of battery capacity and expected payback period as indices for selecting the best-suited storage parameters to ensure profitability. This mechanism takes into account the consumption and generation patterns, profit, storage degradation, and cycle and calendar life of the battery. We also propose the inclusion of a friction coefficient in the original co-optimization formulation to increase the value of storage by reducing the operational cycles and eliminate low returning transactions.

Poster

 

Resources

Open Access Version

Co-optimizing Energy Storage for Prosumers Using Convex Relaxations

Conference
Md Umar Hashmi, Deepjyoti Deka, Ana Bušić, Lucas Pereira, Scott Backhaus
Proceedings of ISAP 2019, New Delhi, India
Publication year: 2019

Abstract

This paper presents a new co-optimization formulation for energy storage for performing energy arbitrage and power factor correction (PFC) in the time scale of minutes to hours, along with peak demand shaving in the time scale of a month. While the optimization problem is non-convex, we present an efficient penalty based convex relaxation to solve it. Furthermore, we provide a mechanism to increase the storage operational life by tuning the cycles of operation using a friction coefficient. To demonstrate the effectiveness of energy storage performing multiple tasks simultaneously, we present a case study with real data for a time scale of several months. We are able to show that energy storage can realistically correct power factor without significant change in either arbitrage gains or peak demand charges. We demonstrate a real-time Model Predictive Control (MPC) based implementation of the proposed formulation with AutoRegressive forecasting of net-load and electricity price. Numerical results indicate that arbitrage gains and peak demand shaving are more sensitive to parameter uncertainty for faster ramping battery compared to slower ramping batteries. However, PFC gains are insensitive to forecast inaccuracies.

Future Industrial Kitchen: Challenges and Opportunities

Conference
Lucas Pereira, Vitor Aguiar, Fábio Vasconcelos
Proceedings of ACM BuildSys 2019, New York, NY, USA
Publication year: 2019

Abstract

Large amounts of electricity, water, and food are used every day in Industrial Kitchens (IK). Still, very little attention has been devoted by the research community to this potential source of resource over-consumption. This abstract paper builds on the deployment of sensing technology in three IKs to present the main challenges and potential research directions towards more sustainable IKs.

Presentation Slides

Link to presentation slides

Electricity Consumption Data Sets: Pitfalls and Opportunities

Conference
Christoph Klemenjak, Andreas Reinhardt, Lucas Pereira, Mario Berges, Stephen Makonin, Wilfried Elmenreich
Proceedings of ACM BuildSys 2019, New York, NY, USA
Publication year: 2019

Abstract

Real-world data sets are crucial to develop and test signal processing and machine learning algorithms to solve energy-related problems.
Their scope and data resolution is, however, often limited to the means required to fulfill the experimenters’ objectives and moreover governed by personal experience, budgetary and time constraints, and the availability of equipment.
As a result, numerous differences between data sets can be observed, e.g., regarding their sampling rates, the number of sensors deployed, their amplitude resolutions, storage formats, or the availability and extent of ground-truth annotations.
This heterogeneity poses a significant problem for researchers intending to comparatively use data sets because of the required data conversion, re-sampling, and adaptation steps.
In short, there is a lack of widely agreed best practices for designing, deploying, and operating electrical data collection systems.
We address this limitation by dissecting the collection methodologies used in existing data sets.
By offering recommendations for data collection, data storage, and data provision, we intend to foster the creation of data sets with increased usability and comparability, and thus a greater benefit to the community.

Presentation Slides

Link to presentation slides

On the Value Proposition of Battery Energy Storage in Self-Consumption Only Scenarios: A Case-Study in Madeira Island

Conference
Lucas Pereira, Jonathan Cavaleiro
Proceedings of IEEE IECon 2019, Lisbon, Portugal
Publication year: 2019

Abstract

This paper presents a Techno-Economic assessment of the value proposition of introducing battery energy storage in the Madeira Island electric grid, where only micro-production for self-consumption is currently allowed. The evaluation was conducted against two local micro-producers using one year of energy consumption and solar PV production measurements. The assessments considered three different pairs of battery capacity/inverter size, and the outputs analyzed considering self-consumption, self-sufficiency, and energy costs. The results show that despite the increase in self-consumption and self-sufficiency, the value proposition of battery energy storage is still considerably low even considering a massive decrease in the costs of storage. Furthermore, the results also suggest that given the small size of the solar PV installations, inverters with half the size of the installed PV capacity represent the best value for money.

Poster

The Acceptance of Energy Monitoring Technologies – The Case of Local Prosumers

Conference
Mary Barreto, Lucas Pereira, Filipe Quintal
Proceedings of ICT4S 2019, Lappeenranta, Finland
Publication year: 2019

Abstract

With transformations happening in the electricity sector, we need to ensure consumers have access to updated and correct information to accompany such changes. Consumers need to understand technologies available to them but also, learn how to use them to optimize their personal investment in such types of equipment. In this paper, we explore how a group of local prosumers has adopted energy monitoring technologies, their day-to-day strategies, and expectations when handling such systems. We studied 11 prosumers and the technologies they have used for three years, evaluated their satisfaction with the feedback provided and analyzed how a more modern visualization of their energy practices was introduced and adopted into their daily lives. We conducted interviews and questionnaires to evaluate their engagement with these tools. This initial work suggests this particular group of users have already a high level of knowledge about their systems, and as a result, have integrated these into their routines. However, more support would be needed from other local actors to help them reach more benefits and as such, more satisfaction as consumers. We conclude by reflecting on barriers that need to be addressed to increase user satisfaction with these systems.

Energy Storage in Madeira, Portugal: Co-optimizing for Arbitrage, Self-Sufficiency, Peak Shaving and Energy Backup

Conference
Md Umar Hashmi, Lucas Pereira, Ana Bušić
Proceedings of IEEE PowerTech 2019, Milan, Italy
Publication year: 2019

Data Storage and Maintenance Challenges: The Case of Advanced Metering Infrastructure Systems

Conference
Lucas Pereira, Rodolfo Gonçalves, Filipe Quintal, Nuno Nunes
Proceedings of the 5th International Conference on ICT4S, Toronto, Canada
Publication year: 2018

Engineering and Deploying a Hardware and Software Platform to Collect and Label Non-Intrusive Load Monitoring Datasets

Conference
Lucas Pereira, Miguel Ribeiro, Nuno J. Nunes
Proceedings of IFIP SustainIT 2017, Funchal, Portugal
Publication year: 2017

Abstract

Current approaches for collecting and labeling Non- Intrusive Load Monitoring (NILM) datasets still rely heavily on a lengthy and error-prone manual inspection of the whole dataset. Consequently, it is still difficult to find fully labeled datasets that could help furthering, even more, the research in this field. In an attempt to overcome this situation, we propose a hardware and software platform to collect and label NILM sensor data in a semi-automatic labeling fashion. Our platform combines aggregate and plug-level smart-meters to measure consumption data, software algorithms to automatically detect changes in the different monitored loads and a graphical user interface where the end-user can supervise the labeling process. In this paper, we describe the different components that comprise our platform. We also present the results of one live deployment that was performed to test the feasibility of our approach. The results of the deployment show that our system was capable of explaining about 82% of the aggregate load, and automatically detect 94% of the power transitions in the plug-level loads.

Resources

Software (GitLab Repository)

Data (SustDataED Public Dataset)

Developing and Evaluating a Probabilistic Event Detector for Non-Intrusive Load Monitoring

Conference
Lucas Pereira
Proceedings of IFIP SustainIT 2017, Funchal, Portugal
Publication year: 2017

A Comparison of Performance Metrics for Event Classification in Non-Intrusive Load Monitoring

Conference
Lucas Pereira, Nuno J. Nunes
Proceedings of IEEE SmartGridComm 2017, Dresden, Germany
Publication year: 2017

What-a-Watt: Exploring Electricity Production Literacy Through a Long Term Eco-Feedback Study

Conference
Filipe Quintal, Lucas Pereira, Nuno J. Nunes, Valentina Nisi
Proceedings of SustainIT 2015. Madrid, Spain
Publication year: 2015

SustData: A Public Dataset for ICT4S Electric Energy Research

Conference
Lucas Pereira, Filipe Quintal, Rodolfo Gonçalves, Nuno J. Nunes
Proceedings of ICT for Sustainability 2014. Stockholm, Sweden
Publication year: 2014

WattsBurning on my mailbox: a tangible art inspired eco-feedback visualization for sharing energy consumption

Conference
Filipe Quintal, Mary L. Barreto, Nuno J. Nunes, Valentina Nisi, Lucas Pereira
Proceedings of Interact 2013. Cape Town, South Africa
Publication year: 2013

WATTSBurning: design and evaluation of an innovative eco-feedback system

Conference
Filipe Quintal, Lucas Pereira, Nuno J. Nunes, Valentina Nisi, Mary L. Barreto
Proceedings of Interact 2013. Cape Town, South Africa
Publication year: 2013

Understanding the Limitations of Eco-feedback: a One Year Long-term Study

Conference
Lucas Pereira, Filipe Quintal, Mary L. Barreto, Nuno J. Nunes
Proceedings of SouthCHI 2013. Maribor, Slovenia
Publication year: 2013

Low cost framework for non-intrusive home energy monitoring and research

Conference
Lucas Pereira, Nuno Nunes
Proceedings of SMARTGREENS 2012. Porto, Portugal
Publication year: 2012

The design of a hardware-software platform for long-term energy eco-feedback research

Conference
Lucas Pereira, Filipe Quintal, Nuno J. Nunes
Proceedings of ACM EICS 2012, Copenhagen, Denmark
Publication year: 2012

Deploying and evaluating the effectiveness of energy eco-feedback through a low-cost NILM solution

Conference
Nuno J. Nunes, Lucas Pereira, Filipe Quintal, Mario Bérges
Proceedings of Persuasive Technology 2011, Columbus, OH, USA
Publication year: 2011

Cross-Media User Interfaces for Controlling the Enterprise - The EAGLE Integrated System

Conference
Pedro Campos, Filipe Sousa, Lucas Pereira, Carlos Perestrelo, Duarte Freitas
Proceedings of ICEIS 2007. Funchal, Portugal
Publication year: 2007