Co-evolution of smart energy products and services: A novel approach towards smart grids

Reinders, Angelina H.M.E.; Respinis, Moreno de; Loon, Jorien van; Stekelenburg, Anton; Bliek, Frits; Schram, Wouter; Sark, W.G.J.H.M. van; Esteri, Tara; Uebermasser, Stefan; Lehfuß, Felix; Gultekin, Esin; Mierlo, Barbara van; Markocic, Elena; Hassewend, Brigitte; Robledo, Carla; Papaioannou, Ioulia; Wijk, Ad van; Lagler, Mike Alexander; Schmautzer, Ernst; Höhn, Thomas; Fickert, Lothar

doi:10.1109/acept.2016.7811522

Cited by 8 publications

(17 citation statements)

References 6 publications

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“…In these tests, energy production and consumption were independently simulated to model different system states, which were The three developed SEPS prototypes: CrystalLight (left), Bodhi (centre) and LightInsight (right). 1. Bodhi: An arrow-shaped "energy budget" indicator that shows users how a household's energy use compares to a predetermined daily or weekly budget through LED colouring.…”

Section: Simulation Environment Testingmentioning

confidence: 99%

Simulation-Supported Testing of Smart Energy Product Prototypes

et al. 2019

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Smart energy products and services (SEPS) have a key role in the development of smart grids, and testing methods such as co-simulation and scenario-based simulations can be useful tools for evaluating the potential of new SEPS concepts during their early development stages. Three innovative conceptual designs for home energy management products (HEMPs)—a specific category of SEPS—were successfully tested using a simulation environment, validating their operation using simulated production and load profiles. For comparison with reality, end user tests were carried out on two of the HEMP concepts and showed mixed results for achieving more efficient energy use, with one of the concepts reducing energy consumption by 27% and the other increasing it by 25%. The scenario-based simulations provided additional insights on the performance of these products, matching some of the general trends observed during end user tests but failing to sufficiently approximate the observed results. Overall, the presented testing methods successfully evaluated the performance of HEMPs under various use conditions and identified bottlenecks, which could be improved in future designs. It is recommended that in addition to HEMPs, these tests are repeated with different SEPS and energy systems to enhance the robustness of the methods.

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Section: Simulation Environment Testingmentioning

confidence: 99%

Simulation-Supported Testing of Smart Energy Product Prototypes

et al. 2019

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“…Below each layer of the model is briefly described in order to provide a general understanding for the reader. Three-layer research model for smart grids environments (adapted from ERA-Net Smart Grids Plus [1,2]).…”

Section: Layersmentioning

confidence: 99%

“…Some features of smart grids, such as demand side management (DSM) and exchange of energy with other end users (peer-to-peer trading) involve individual end-user type stakeholders of the type of individual end users, whereas other features-such as a high penetration of renewable energy at a local level, as well as electric mobility [2,4-6]-involve stakeholders of a more organizational character such as network operators and governmental organizations. Three-layer research model for smart grids environments (adapted from ERA-Net Smart Grids Plus [1,2]).…”

Section: Stakeholders Layermentioning

confidence: 99%

“…Therefore, in this paper, the results of an in-depth literature study are presented, aimed at elaborating a framework for gathering knowledge and developing understanding about residential smart energy systems. This framework, called the three-layer model, comprises three layers: stakeholders, the market, and technologies [1]. Each layer is defined below.…”

Section: Introductionmentioning

confidence: 99%

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An Exploration of the Three-Layer Model Including Stakeholders, Markets and Technologies for Assessments of Residential Smart Grids

et al. 2018

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In this paper, a framework is presented for the evaluation of smart grid environment which is called the three-layer model. This three-layer model comprises three specific categories, or ‘layers’, namely, the stakeholder, market and technologies layers. Each layer is defined and explored herein, using an extensive literature study regarding their key elements, their descriptions and an overview of the findings from the literature. The assumption behind this study is that a solid understanding of each of the three layers and their interrelations will help in more effective assessment of residential smart grid pilots in order to better design products and services and deploy smart grid technologies in networks. Based on our review, we conclude that, in many studies, social factors associated with smart grid pilots, such as markets, social acceptance, and end-user and stakeholder demands, are most commonly defined as uncertainties and are therefore considered separately from the technical aspects of smart grids. As such, it is recommended that, in future assessments, the stakeholder and market layers should be combined with the technologies layer so as to enhance interaction between these three layers, and to be able to better evaluate residential smart energy systems in a multidisciplinary context.

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“…In Section 2, the power quality of a photovoltaic (PV) charging station for e-bikes at the campus of the University of Twente (UT) [17] is measured and analyzed. This grid-connected PV charging station has been developed in house by UT using commercially available components (275 Wp of Canadian Solar ® PV modules and 2.0 kW inverter SOLAX Power ® X1 Series) and was installed by the end of 2017.…”

Section: Introductionmentioning

confidence: 99%

Resonance Instability of Photovoltaic E-Bike Charging Stations: Control Parameters Analysis, Modeling and Experiment

et al. 2019

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This article presents an in-situ comparative analysis and power quality tests of a newly developed photovoltaic charging system for e-bikes. The various control methods of the inverter are modeled and a single-phase grid-connected inverter is tested under different conditions. Models are constituted for two current control methods; the proportional resonance and the synchronous rotating frames. In order to determine the influence of the control parameters, the system is analyzed analytically in the time domain as well as in the frequency domain by simulation. The tests indicated the resonance instability of the photovoltaic inverter. The passivity impedance-based stability criterion is applied in order to analyze the phenomenon of resonance instability. In conclusion, the phase-locked loop (PLL) bandwidth and control parameters of the current loop have a major effect on the output admittance of the inverter, which should be adjusted to make the system stable.

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Co-evolution of smart energy products and services: A novel approach towards smart grids

Cited by 8 publications

References 6 publications

Simulation-Supported Testing of Smart Energy Product Prototypes

Simulation-Supported Testing of Smart Energy Product Prototypes

An Exploration of the Three-Layer Model Including Stakeholders, Markets and Technologies for Assessments of Residential Smart Grids

Resonance Instability of Photovoltaic E-Bike Charging Stations: Control Parameters Analysis, Modeling and Experiment

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