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        <title>Frontiers in Energy Efficiency | Energy Efficiency Technologies section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/energy-efficiency/sections/energy-efficiency-technologies</link>
        <description>RSS Feed for Energy Efficiency Technologies section in the Frontiers in Energy Efficiency journal | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-05-13T23:14:16.537+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2024.1437214</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2024.1437214</link>
        <title><![CDATA[Digital Twin concept and architecture for fleets of hydrogen electrolysers]]></title>
        <pubdate>2024-07-17T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>Sharaf Alsharif</author><author>Nils Huxoll</author><author>Jelke Wibbeke</author><author>Tobias Grimm</author><author>Michael Brand</author><author>Sebastian Lehnhoff</author>
        <description><![CDATA[The expected increase in green hydrogen demand in the near future necessitates scaling-up the hydrogen production plants with the goal of reducing the hydrogen production costs. Nevertheless, a quick scale-up limits the time to test new designs, optimize operation schedules and build up knowledge for production parameters. The Digital Twin concept applied on a fleet of electrolysers is proposed as a digitization tool to contribute to this scale-up process by providing a comprehensive view of the entire electrolysers fleet as well as constructing the feedback connection to the electrolysers manufacturing process. Such Fleet Digital Twin approach can improve the efficiency and scalability of green hydrogen production using water electrolysis. This paper presents a concept of a Fleet Digital Twin and discusses its architecture requirements and design. By applying the Digital Twin concept at different levels of the system, fleet knowledge services are enabled by leveraging the availability of fleet-wide data. The proposed architecture design provides a solid foundation for future development and implementation of Fleet Digital Twins in industrial applications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2024.1337606</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2024.1337606</link>
        <title><![CDATA[Distributed ADMM power optimal control for standalone hybrid generation systems]]></title>
        <pubdate>2024-02-05T00:00:00Z</pubdate>
        <category>Methods</category>
        <author>Tengfei Wei</author><author>Yiyang Wang</author><author>Jichang Yang</author>
        <description><![CDATA[With the rapid development and increased demand for renewable energy sources, standalone hybrid generation systems have become an essential energy solution. Power optimization control is thus critical to achieving the efficient operation and stability of this system. The distributed ADMM (alternating direction method of multipliers)-based approach has the full potential to deal with the power optimization problem of standalone hybrid generation systems. This study uses an optimization algorithm with a Gaussian penalty function, ADMM-ρ, to alternately optimize the power reference values of wind, light, and battery-containing power generation subsystems. The local controller regulates the output power of the converter according to this reference value. This ensures that the wind and photovoltaic power generation subsystem work in load-tracking or maximum power-tracking modes so that the optimal operation of hybrid power generation meets the balance of supply and demand while prolonging the service life of the batteries. Simulation experiments show that the distributed ADMM algorithm can reliably address the power optimization challenge of hybrid power generation systems.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2023.1258384</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2023.1258384</link>
        <title><![CDATA[Energy homeostasis model for electrical and thermal systems integration in residential buildings: a means to sustain distributed generation systems integration]]></title>
        <pubdate>2023-11-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Fernando Yanine</author><author>Sarat Kumar Sahoo</author><author>Antonio Sanchez-Squella</author><author>Aldo Barrueto</author><author>Challa Krishna Rao</author>
        <description><![CDATA[Introduction: Integrating renewables in the distribution sector is a rapidly growing reality in many countries, amongst which Chile’s stands out with an increasingly diversifiable electricity matrix. However, incorporating RES into the electricity distribution sector is altogether a steep climb at present, and seen by some as a formidable challenge for utilities. Likewise, the introduction of the Smart Grid agenda in Chile is imposing new challenges to electric utilities, mainly from a regulatory and technical viewpoint. In spite of this, big players like ENEL are moving forward decisively to meet this challenge, together with academia experts.Methods: We model a sustainable energy system in the form of a smart microgrid operated by ENEL Chile comprising a hypothetical community we term a Sustainable Block™ representing an average residential building in Santiago. We then run simulations under different operating scenarios. The model takes into account the most recent innovation in the legal regulatory framework that governs the energy market in Chile ―Law 20,571―which allows for benefits to those that generate and consume part or all of their energy needs while connected to the grid. Thus, the community considers the option of consuming green energy from the microgrid with an energy storage unit to supply electricity to the 60-apartment complex of various sizes. Under this scenario, a set of energy homeostasis strategies that comprise the homeostatic control and energy management systems help balance the electricity supply versus demand.Results: The model proposed comprises a set of energy homeostasis management strategies that have been designed in the power control and energy management system to balance supply and demand while optimizing the availability and use of green energy. Thus, the energy homeostasis model optimizes the microgrid supply while injecting excess power to the grid. In this context, the community residents exhibit different consumption profiles, therefore they may willingly participate of the sustainable energy strategy as prosumers, displaying a thriftier consumption, and enjoying a lower electric bill while using more renewable energy. The model’s energy homeostasis control and energy management system, especially designed for electric power systems, seeks to maintain a dynamic balance between supply and demand and is being currently discussed with ENEL Chile as part of the intelligent control options for the introduction of distributed generation systems tied to the grid, in order to complement their electric power distribution services.Discussion: The model being proposed comprises a community of residents that we term a sustainable block™ representing an average residential building in Santiago, Chile, which aims to take advantage of Law 20,571 in Chile that allows independent electric power generators to benefit by selling electricity to the grid and also allows independent consumers (mostly residential) to generate part or all of their energy needs while connected to the grid. The community may consume electricity from the microgrid with energy storage, operated by the local electric company, supplying electricity to the 60-apartment complex of various sizes. In his regard, just like in the human body where the brain, particularly the hypothalamus, is primarily responsible for the regulation of energy homeostasis, by monitoring changes in the body’s energy state through various mechanisms, the role of energy storage as well as the role of prosumers are the key enabling factors of energy homeostasis and their interaction are highlighted in the overall analysis.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2023.1302121</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2023.1302121</link>
        <title><![CDATA[Similarity preserving hashing for appliance identification based on V-I trajectory]]></title>
        <pubdate>2023-11-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xingqi Liu</author><author>Xuan Liu</author><author>Angang Zheng</author><author>Hao Chen</author><author>Jian Dou</author>
        <description><![CDATA[Non-intrusive load monitoring (NILM) is a technique used to monitor energy consumption in buildings without requiring hardware installation on individual appliances. This approach offers a cost-effective and scalable solution to enhance energy efficiency and reduce energy usage. Recent advancements in NILM primarily employ deep-learning algorithms for appliance identification. However, the substantial number of parameters in deep learning models presents challenges in quickly and effectively identifying appliances. An effective technique for appliance identification is analyzing the appliances’ voltage-current (V-I) trajectory signature. This research introduces a novel hashing method that learns compact binary codes to achieve highly efficient appliance V-I trajectory identification. Specifically, this paper uses a profound structure to acquire V-I trajectory image features by acquiring multi-level non-linear transformations. Subsequently, we merge these intermediary traits with high-level visual data from the uppermost layer to carry out the V-I trajectory image retrieval process. These condensed codes are subjected to three distinct standards: minimal loss in quantization, uniformly distributed binary components, and autonomous bits that are not interdependent. As a result, the network easily encodes newly acquired query V-I images for appliance identification by propagating them through the network and quantizing the network’s outputs into binary code representations. Through extensive experiments conducted on the PLAID dataset, we demonstrate the promising performance of our approach compared to state-of-the-art methods.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2023.1140586</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2023.1140586</link>
        <title><![CDATA[Electrohydrodynamic air amplifier for low-energy airflow generation—An experimental proof-of-concept]]></title>
        <pubdate>2023-03-30T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Donato Rubinetti</author><author>Kamran Iranshahi</author><author>Daniel Onwude</author><author>Bart Nicolaï</author><author>Lei Xie</author><author>Thijs Defraeye</author>
        <description><![CDATA[With electrohydrodynamics (EHD), we can propel air in a low-energy fashion. EHD airflow, or ionic wind, arises when a high voltage gradient is applied to a set of electrodes. The air ionizes between electrodes via corona discharge and accelerates in an electric field, exchanging momentum with the surrounding air. While the ionization process is energy-efficient, reaching competitive flow rates remains challenging from a high-voltage engineering perspective. To increase EHD-generated flow rates, this study experimentally investigates a novel concept called EHD air amplification. The concept uses ionic wind as bleed flow to induce a more significant bulk flow by the air-amplifying Coanda effect. Due to the complex interactions between EHD and dielectric structures for air amplification, the conceptual EHD air amplifier device is designed stage-wise, starting with a simple emitter-collector electrode configuration. First, regular EHD flow was studied in a 150 × 150 × 500 mm3 channel. Then, a dielectric material was added to determine its influence on the electric field. The impact of a converging nozzle on the EHD-generated airflow was subsequently studied. Lastly, the converged nozzle airflow was used to create a bleed flow on a plate to facilitate air amplification of the surrounding air. We show the proof-of-concept for an EHD air amplification system. After a voltage threshold of 14 kV, amplified airstreams up to an amplification factor of 3 were measured. Maximum airflow rates of about 15 m3 h−1 were obtained shortly before electric breakdown at 22 kV. Compared to regular EHD, we achieved a higher aerodynamic performance for the same electric energy invested. The flow rate to electric power ratio increased to 66% in EHD air amplification compared to regular EHD. The proposed EHD air amplifier operates at atmospheric pressure. It lays the groundwork for further optimization studies to position EHD air amplification as a low-energy, low-maintenance, motor- and noiseless airflow generation technology.]]></description>
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