Showing papers on "Energy (signal processing) published in 2022"
TL;DR: In this article, an arc-shaped piezoelectric sheet between the outer race of rolling bearing and bearing pedestal was installed to scavenge rotational energy from rotating machines.
102 citations
TL;DR: The proposed long short-term memory-based model is a satisfactory method for energy consumption forecasting due to its high accuracy and the high-precision forecasting technology is important for the energy systems.
95 citations
TL;DR: In this article , the authors used the Levenberg-Marquardt algorithm to find the best topology of the ANN model at a hidden layer consisting of 10 neurons, including the lowest mean absolute percentage error (14.42) and the highest R2 (0.79).
95 citations
TL;DR: In this paper , the authors demonstrate how to use the K-M function and apply it thoroughly to the determination of the optical band gap energy (Eg) of TiO2 semiconductor powder (pressed at different thicknesses) from diffuse reflectance spectroscopy (DRS) measurements.
92 citations
TL;DR: A comprehensive overview of piezo and ferroelectric materials based on organic molecules and organic-inorganic hybrids for mechanical energy harvesting is provided in this article , where the fundamental characterization of piezoelectric energy harvesting properties for a range of recently reported organic and organic inorganic hybrid materials is discussed.
Abstract: This article provides a comprehensive overview of piezo‐ and ferro‐electric materials based on organic molecules and organic–inorganic hybrids for mechanical energy harvesting. Molecular (organic and organic–inorganic hybrid) piezo‐ and ferroelectric materials exhibit significant advantages over traditional materials due to their simple solution‐phase synthesis, light‐weight nature, thermal stability, mechanical flexibility, high Curie temperature, and attractive piezo‐ and ferroelectric properties. However, the design and understanding of piezo‐ and ferroelectricity in organic and organic–inorganic hybrid materials for piezoelectric energy harvesting applications is less well developed. This review describes the fundamental characterization of piezo‐ and ferroelectricity for a range of recently reported organic and organic–inorganic hybrid materials. The limits of traditional piezoelectric harvesting materials are outlined, followed by an overview of the piezo‐ and ferroelectric properties of organic and organic–inorganic hybrid materials, and their composites, for mechanical energy harvesting. An extensive description of peptide‐based and other biomolecular piezo‐ and ferroelectric materials as a biofriendly alternative to current materials is also provided. Finally, current limitations and future perspectives in this emerging area of research are highlighted. This perspective aims to guide chemists, materials scientists, and engineers in the design of practically useful organic and organic–inorganic hybrid piezo‐ and ferroelectric materials and composites for mechanical energy harvesting.
83 citations
TL;DR: In this article , an arc-shaped piezoelectric sheet between the outer race of rolling bearing and bearing pedestal was installed to scavenge rotational energy from rotating machines.
80 citations
TL;DR: In this paper , a long short-term memory-based model was applied to energy consumption forecasting to achieve a better prediction performance and the more critical influencing factors are emphasized, and the proposed model achieves better prediction accuracy compared with basic LSTM and other existing popular models.
75 citations
TL;DR: In this article , a wave-driven liquid-solid TENG was developed to construct a self-powered sensing system for marine environmental monitoring, which has an excellent response (ΔU/Ua = 170 % @ 30 ppm) and is 14 times larger than that of the resistive sensor.
74 citations
TL;DR: The lack of a common external energy security policy made it difficult for the EU to assume a common energy position towards Russia's invasion of Ukraine in February 2022 as discussed by the authors , leading to a spike in energy prices and feared natural gas supplies shortage during the winter of 2021/2022 indicate a limited ability of existing energy measures to deliver energy security for the European Union.
72 citations
TL;DR: A comprehensive review of the state-of-the-art progress of multistable vibration energy harvesters is provided in this article , where the authors present critical challenges, perspectives for future research directions about MEHs, and governing models and approximate analytic methods are introduced.
69 citations
TL;DR: In this paper , a low-frequency rotational electromagnetic energy harvester using a nonlinear magnetic plucking configuration is proposed using the novel structure to pluck a cylindroid generating magnet in each rotational motion, which provides a new way to stabilize the output voltage and improve the energy harvesting performance.
TL;DR: In this paper , the authors identify similarities and differences between energy democracy and energy citizenship and synthesise their contributions to debates on citizen participation in energy transitions, finding that energy citizenship tends to emphasise behaviour change and ways for individuals to participate in energy systems, thereby often focusing on individuals as agents of change.
Abstract: Increasingly, scholarly debates and policy developments on citizen participation in energy transitions have included calls for ‘energy democracy’ and active forms of ‘energy citizenship’. The concepts are tightly connected to the debate on energy transition, and the need for a decentralised energy system, based on renewable energy and increased local energy ownership. The two concepts exist in parallel and are sometimes used as synonyms and sometimes with clear distinctions made between them. This spurred an interest to systematically investigate them further. The aim of this paper is to identify similarities and differences between the two concepts and synthesise their contributions to debates on citizen participation in energy transitions. We review the literature thematically, finding that the concepts often refer to participation in domestic energy technologies, energy communities, energy transition movements, and energy policy. Energy citizenship tends to emphasise behaviour change and ways for individuals to participate in energy systems, thereby often focusing on individuals as agents of change. In contrast, energy democracy tends to focus on institutionalisation of new forms of participative governance and often placing collectives as central agents of change. The review also highlights some weaknesses of the literature: a bias towards decentralised energy systems, a lack of attention to representational democracy, and an underrepresentation of studies from outside Europe and North America.
TL;DR: Wang et al. as discussed by the authors proposed a fault diagnosis method for bearing of flywheel energy storage system based on parameter optimization Variational Mode Decomposition (VMD) energy entropy, which can effectively extract the bearing fault characteristics and realize accurate fault diagnosis, and the recognition rate reached 97.5%, which was better than the comparison method.
TL;DR: In this article , a hierarchical structured nano-micro "vine" was constructed inspired by nature, and the growth mechanism of Co 3 O 4 @WSe 2 -MWCNTs was deeply revealed.
TL;DR: In this paper , the authors present an original set of future storylines until the year 2050 to inspire modelers, policy makers, industry actors, and the public to understand: without technological developments in the next decades, to what extent can we rely on societal commitment or stronger cooperation within the EU to achieve climate targets? What technological innovations could become a cornerstone of an effective European energy transition?
TL;DR: In this article , the state-of-the-art advances on flow-induced vibration energy harvesters in terms of their working principles, categories, enhancement methods, model derivation and calculation methods, influence of interface circuits, and energy harvesting efficiency calculation methods are reviewed.
TL;DR: In this paper , a critical review of the state-of-the-art AI-based battery manufacturing and management strategies towards long lifetime battery is presented, which will inform insights into the feasible, advanced AI for the health-conscious manufacturing, control and optimization of battery on different technology readiness levels.
Abstract: Technologies that accelerate the delivery of reliable battery-based energy storage will not only contribute to decarbonization such as transportation electrification, smart grid, but also strengthen the battery supply chain. As battery inevitably ages with time, losing its capacity to store charge and deliver it efficiently. This directly affects battery safety and efficiency, making related health management necessary. Recent advancements in automation science and engineering raised interest in AI-based solutions to prolong battery lifetime from both manufacturing and management perspectives. This paper aims at presenting a critical review of the state-of-the-art AI-based manufacturing and management strategies towards long lifetime battery. First, AI-based battery manufacturing and smart battery to benefit battery health are showcased. Then the most adopted AI solutions for battery life diagnostic including state-of-health estimation and ageing prediction are reviewed with a discussion of their advantages and drawbacks. Efforts through designing suitable AI solutions to enhance battery longevity are also presented. Finally, the main challenges involved and potential strategies in this field are suggested. This work will inform insights into the feasible, advanced AI for the health-conscious manufacturing, control and optimization of battery on different technology readiness levels.
TL;DR: In this article , the parity-violating (PV) asymmetry in the elastic scattering of longitudinally polarized electrons from Ca was measured, leading to an extraction of the neutral weak form factor.
Abstract: We report a precise measurement of the parity-violating (PV) asymmetry A_{PV} in the elastic scattering of longitudinally polarized electrons from ^{48}Ca. We measure A_{PV}=2668±106(stat)±40(syst) parts per billion, leading to an extraction of the neutral weak form factor F_{W}(q=0.8733 fm^{-1})=0.1304±0.0052(stat)±0.0020(syst) and the charge minus the weak form factor F_{ch}-F_{W}=0.0277±0.0055. The resulting neutron skin thickness R_{n}-R_{p}=0.121±0.026(exp)±0.024(model) fm is relatively thin yet consistent with many model calculations. The combined CREX and PREX results will have implications for future energy density functional calculations and on the density dependence of the symmetry energy of nuclear matter.
TL;DR: In this paper , the authors investigated a fully decentralized model for electricity trading within a transactive energy market, where the optimal operation of the energy hubs is modeled as a standard mixed-integer linear programming (MILP) optimization problem.
TL;DR: In this article , the authors examined the nonlinear relationship between industrial structure, energy intensity and environmental efficiency across developed and developing countries by utilizing three sectors of industry i.e., primary, secondary and tertiary industry.
TL;DR: An event-triggered distributed hybrid control scheme is proposed to achieve security and economic operation for the IES using the equal incremental principle to achieve the minimal economic cost for each EH with considering energy prices.
Abstract: For the integrated energy system (IES) formed by a cluster of energy hubs (EHs), the outputs of EHs and system parameters, which greatly influence the security performance, should be properly adjusted. In this article, an event-triggered distributed hybrid control scheme is proposed to achieve security and economic operation for the IES. First, the EH output control is designed based on the features of energy networks as well as the containment and consensus algorithms. According to the control of outputs, the electricity and heat load power can be accurately shared without knowing the network parameters. Second, the pressure is bounded within an acceptable range, and the frequency is reverted to the reference value by implementing the proposed control method. Third, an event-triggered communication strategy is employed to design the corresponding protocols, resulting in reduced communication cost. Finally, the control of devices based on the equal incremental principle is proposed to achieve the minimal economic cost for each EH with considering energy prices. The results of numerical case studies are presented to validate the performance of the proposed control method.
TL;DR: In this paper , a systematic and critical review aims to accelerate the understanding, classification, and application of energy digital twin technology, by developing an original multi-dimensional digital twin classification framework, summarising the applications of digital twins throughout a site's lifecycle, and constructing a proposal of how to apply the technology to industrial sites and local areas to enable a reduction in carbon and other environmental footprints.
Abstract: Digitalisation of the process and energy industries through energy digital twin technology promises step-improvements in energy management and optimisation, better servicing and maintenance, energy-efficient design and evolution of existing sites, and integration with locally and regionally generated renewable energy. This systematic and critical review aims to accelerate the understanding, classification, and application of energy digital twin technology. It adds to the literature by developing an original multi-dimensional digital twin classification framework, summarising the applications of energy digital twins throughout a site's lifecycle, and constructing a proposal of how to apply the technology to industrial sites and local areas to enable a reduction in carbon and other environmental footprints. The review concludes by identifying key challenges that face uptake of energy digital twins and a framework to apply the energy digital twins.
TL;DR: In this article , the authors present an in-depth review and discussion of building energy prediction models, including three widely used prediction approaches, namely, building physical energy models (i.e., white box), data-driven models, and hybrid models.
TL;DR: In this article , the authors investigated the impact of digitalization on energy and its mechanisms from an international perspective and showed that digitalization reduces energy consumption, decreases energy intensity and optimizes energy structure.
TL;DR: In this article , the authors evaluated the link between human capital, energy consumption, and economic growth using data for the Chinese economy from 1971 to 2018 and found that human capital accumulation has a statistically significant negative effect on all types of energy consumption.
TL;DR: In this article, the chaotic dynamical system theory provides a simplified analytical framework that provides deeper insights into the performance of the asymmetric tristable energy harvester, which can more easily jump into the interwell motion and output the higher voltage under low-level excitations.
TL;DR: In this paper , the chaotic dynamical system theory provides a simplified analytical framework that provides deeper insights into the performance of the asymmetric tristable energy harvester, which can more easily jump into the interwell motion and output the higher voltage under low-level excitations.
01 Oct 2022
TL;DR: In this article , a review of the latest studies published in a hybrid renewable energy system is presented, which focuses on sizing, optimization, control, and energy management, and compares different methods used in each category.
Abstract: • A review of the latest studies published in a hybrid renewable energy system. • This review focuses on sizing, optimization, control, and energy management. • The latest published methods are reviewed and cited in this paper. • Comparison between each method is attained with advantages and inconvenient. To meet fast growing in energy demand, all energy sources have to be exploited. Renewables energies are unlimited and clean but the most problem with them is their intermittent aspect. To overcome this problem a mixture of several energy sources is made to obtain what called hybrid renewable energy system. This paper aims at presenting and analyzing a deep literature review of the recent paper published in hybrid renewable energy field. This review focuses on four essential categories of hybrid renewable energy system which is sizing (using software or using traditional methods), optimization (classical, artificial and hybrid methods), control (centralized, distributed and hybrid control) and energy management (technical objective, economic objective and techno-economic objective). Furthermore, this paper compares between different methods used in each category.
TL;DR: In this article, an evolutionary imitation curriculum multi-agent deep deterministic policy gradient (EIC-MADDPG) algorithm is proposed as a novel deep reinforcement learning algorithm to realize coordinated control and improve the performance of DIC-AGC in the performance-based frequency regulation market.
TL;DR: In this paper, an energy theory method was proposed to solve the problem of modal overdecomposition, which can not only improve the safety of the system, but also optimize dispatch and reduce economic losses.