Scientific publications
Here we publish a compilation of scientific articles that introduce TwinERGY to the academic community.
Smart Tool Development for Customized Charging Services to EV Users
E-mobility is a key element in the future energy systems. The development of a suitable charging management system is required to address different stakeholders’ needs in the electro-mobility value chain. This paper focuses on the design of such a system, the TwinEV module, that offers high-value services to electric vehicles (EV) users.
Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints
The upward trend of adopting Distributed Energy Resources (DER) reshapes the energy landscape and supports the transition towards a sustainable, carbon-free electricity system. In this paper, it is shown how Local Energy Markets (LEM) act as a catalyst by providing a digital platform where the prosumers’ energy needs and offerings can be efficiently settled locally while minimizing the grid interaction.
Causal Loop Mapping of Emerging Energy Systems in Project TwinERGY: Towards Consumer Engagement with Group Model Building
This paper outlines project TwinERGY’s suggested approach to collaborative mapping of emerging energy systems with relevant stakeholders, including in particular participant consumers. The approach is based on the use of the established Causal Loop Diagram (CLD) from within the remit of System Dynamics/System Thinking techniques, as the basis of group model building.
A multi-level Digital Twin for optimising demand response at the local level without compromising the well-being of consumers
Although traditionally perceived as being a visualization and asset management resource, the relatively rapid rate of improvement of computing power, coupled with the proliferation of cloud and edge computing and the IoT has seen the expanded functionality of modern Digital Twins (DTs). These technologies, when applied to buildings, are now providing users with the ability to analyse and predict their energy consumption, implement building controls and identify faults quickly and efficiently, while preserving acceptable comfort and well-being levels.
Determining occupant's Thermal Comfort and Well-Being towards facilitating energy demand management utilizing a low-cost wearable device
The scope of this work is to provide unobtrusive means to accurately depict t he thermal comfort and well-being level of the occupants making them predictable energy wise and allow pertinent personalized feedback notifications or actions towards energy demand management while preserving their corresponding preferences.
Design and Evaluation of a Micro-Grid Energy Management Scheme Focusing on the Integration of Electric Vehicles
Market penetration of electric vehicles is nowadays gaining considerable momentum along with the move towards increasingly distributed clean and renewable electricity sources. The penetration rate varies among countries due to several factors, including the social and technical readiness of the community to adopt and use this technology. In addition, the increasing complexity of power grids, growing demand, and environmental and energy sustainability concerns intensify the need for energy management solutions and energy demand reduction strategies.
Sustainable technologies are increasingly being introduced into consumers’ life as a mitigation effort against environmental problems. However, the study of the main factors that influence its use and satisfaction, but especially their impact on well-being has not been yet fully explored. In fact, post-adoption stages are infrequently studied on this topic. To fill this gap, this study aims to explain the consumers’ inner motivations for sustainable technology use and satisfaction and the impact of those technologies on consumers’ perceived well-being. Moreover, the moderating impact of intrinsic motivations is explored. A contextualized model is created based on a mixed-methods approach. We tested our model using 400 observations from Greece. The work found the significance of all hypotheses, except the moderation between use and perceived well-being. The study provides valuable insights into the understanding of the consumers’ motivations to use sustainable technologies, as well as the role of technologies in more humanistic outcomes.
Development of a Multi-Asset Risk Assessment Algorithm in the Context of Home Energy Management
This paper presents a multi asset risk assessment algorithm, which is part of a risk management application developed for residential buildings within the framework of energy communities and digital energy markets. It describes the logic, principles, and operation of the algorithm, as well as the functionalities related to risk analysis and result visualization.
The Impact of Sustainable Technologies in the Perceived Well-being: The Role of Intrinsic Motivations
SGAM-Based Analysis for the Capacity Optimization of Smart Grids Utilizing e-Mobility: The Use Case of Booking a Charge Session
The description of the functionality of a smart grid’s architectural concept, analyzing different Smart Grid (SG) scenarios without disrupting the smooth operation of the individual processes, is a major challenge. The field of smart energy grids has been increasing in complexity since there are many stakeholder entities with diverse roles. Electric Vehicles (EVs) can transform the stress on the energy grid into an opportunity to act as a flexible asset. Smart charging through an external control system can have benefits for the energy sector, both in grid management and environmental terms. A suitable model for analyzing and visualizing smart grid use cases in a technology-neutral manner is required. This paper presents a flexible architecture for the potential implementation of electromobility as a distributed storage asset for the grid’s capacity optimization by applying the Use Case and Smart Grid Architecture Model (SGAM) methodologies. The use case scenario of booking a charge session through a mobile application, as part of the TwinERGY Horizon 2020 project, is deployed to structure the SGAM framework layers and investigate the applicability of the SGAM framework in the integration of electromobility as a distributed storage asset into electricity grids with the objective of enhanced flexibility and decarbonization.