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Exergy and Quantum Batteries

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Farzaneh Hatami Kamin and Shahriar Salimi

Submitted: 01 January 2024 Reviewed: 01 February 2024 Published: 26 March 2024

DOI: 10.5772/intechopen.1004642

Exergy - Theoretical Background and Cases of Study IntechOpen
Exergy - Theoretical Background and Cases of Study Edited by Joan Josep Roa Rovira

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Exergy - Theoretical Background and Cases of Study [Working Title]

D.Sc. Joan Josep Roa Rovira

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Abstract

The study of quantum thermodynamics has led to the development of quantum batteries. These devices use quantum advantages to store and extract useful energy from physical systems. Ergotropy is the maximum work that can be extracted from a quantum system by cyclic unitary operations. When external thermal baths couple with the quantum battery, there is energy loss due to thermal effects on the system. In some cases, a part of the total energy available in the system cannot be stored as ergotropy. Therefore, it is important to consider the amount of residual energy that cannot be extracted as useful work from quantum batteries by unitary processes. To better understand the amount of energy lost during work extraction, it is necessary to examine the constraint of unitary processes. The system exergy represents the maximum amount of work that can be extracted from the system while bringing it into equilibrium with a thermal bath. It can be separated into two parts: ergotropy and residual energy. Thus, the present chapter describes the relationship between exergy and its potential benefits and effects on the performance of quantum batteries.

Keywords

  • quantum batteries
  • ergotropy
  • unitary process
  • exergy
  • quantum thermodynamics

1. Introduction

From the late eighteenth century until today, scientists have been experimenting with electrochemical reactions, which allow us to convert chemical energy into electricity. Despite centuries of innovation, the fundamental way that batteries generate energy has remained constant. This process involves an electrochemical reaction that takes place within a closed cell. Over 200 years ago, an Italian scientist, named Alessandro Volta, discovered a reliable electrochemical system. However, Volta’s materials and arrangement were inefficient and resulted in a tiny output. Despite this, his work was crucial in laying the foundation for electrochemical advancements. In 1859, Gaston Plante made a significant advancement when he invented a rechargeable battery. Typically, batteries lose their power when their electrodes run out of ions or space to receive them. However, rechargeable batteries are designed so that by applying a charge, the electrodes are either rebuilt or deionized, reversing the primary reaction. In 1859, Gaston Plante made a significant advancement when he invented a rechargeable battery. In 1866, George-Lionel advanced the battery’s evolution by creating a closed, portable, and powerful battery based on Volta’s original concept. This marked the beginning of the consumer battery era, with Leclanche’s invention becoming the first of its kind in the 1890s. His design eventually led to the development of the Duracell alkaline battery in the 1950s. In 1899, Waldemar Jungner made a significant advancement in rechargeable battery technology by combining Leclanche’s concept with new developments in materials science. His battery was smaller in size, more durable, and had a higher output than Plante’s battery, but had less charge capacity. However, due to its high cost, it did not become commercially viable until the 1930s. Throughout most of the twentieth, it served as a battery technology model, with each type fulfilling its own purpose and meeting technology demands. Battery technology underwent gradual development and finally, in 1985, Akira Yoshino created the first commercially viable rechargeable lithium-ion battery. The introduction of lithium-ion batteries in 1992 revolutionized technology. It meant that complex, energy-intensive gadgets like computers and phones could go mobile, and the technology could be upgraded to energy-consuming levels previously impossible. Furthermore, it largely eliminated the problems associated with the unpredictability of renewable energy production by allowing for industrial-scale energy storage.

Batteries can be defined as devices that store energy from external resources through electrochemical processes and provide that energy to other machines, enabling them to operate remotely without requiring a power resource. In recent years, batteries have become increasingly crucial in terms of size and storage capacity [1]. As devices continue to become smaller, batteries are also shrinking in size. As a result, when their unit cells approach molecules and atoms, quantum mechanical effects must be taken into consideration when describing them [2, 3, 4]. Recent theoretical investigations in the field of quantum thermodynamics have demonstrated that entanglement generation is connected to faster work extraction when energy is stored in many-body quantum systems [5]. These findings have prompted research on the use of quantum systems as heat engines and energy storage devices [6]. As a result, there has been a growing interest in the study of quantum batteries, which were first introduced in the influential work by Alicki and Fannes [7]. Scientists are now exploring quantum effects that could potentially enhance the performance of these devices [8, 9, 10, 11]. Quantum batteries are theoretical d-dimensional energy storage quantum systems. They are quantum systems with non-degenerate energy levels that use quantum mechanics principles to store energy [7]. Quantum coherence and entanglement are used in the design of these batteries. Quantum batteries have the potential to be more efficient, have a higher energy density, and be smaller and lighter than classical batteries. The most important feature of a good quantum battery is its ability to store as much energy as possible in the shortest time and discharge it optimally. To determine the quality of a quantum battery, one can examine its internal energy and the amount of work that can be extracted from it [12]. Overall, quantum batteries hold great potential for advancing energy storage technology. Furthermore, progress has been made toward implementing experiments [13, 14, 15, 16, 17].

In the study of quantum batteries, ergotropy is a critical measure that indicates the amount of energy that can be extracted from a given quantum battery state through the cyclic unitary evolutions [12]. The ergotropy of a battery can change from zero, which represents the passive state [18], to a maximum value calculated from the energy levels of the Hamiltonian and the eigenvalues of the battery’s density matrix, as the battery stores or releases energy. Traditionally, quantum mechanics deals with isolated systems that are completely detached from their surrounding environment. The idea of open quantum systems stems from the way physical systems interact with their surroundings. These interactions can cause the transfer of energy, information, or particles between the system and its environment. A major obstacle in studying open quantum systems is decoherence. In quantum physics, decoherence refers to the loss of quantum coherence that arises from the interaction of the quantum system with its environment. Studying quantum batteries from an open quantum systems perspective is crucial as environmental effects on quantum systems are inevitable. There has been extensive research on the impact of environmental parameters on the charging and discharging processes of quantum batteries [19, 20, 21, 22, 23, 24]. When external thermal baths couple with the quantum battery, non-unitary effects may occur, causing energy loss due to thermal effects on the system. In some cases, ergotropy can be stored, but a part of the total energy available in the system cannot be stored as ergotropy. Consequently, part of the total energy cannot be extracted from cyclic unitary evolutions. Therefore, it is important to consider the amount of residual energy that cannot be extracted as useful work from open quantum batteries by unitary processes. To better understand the amount of energy lost during work extraction, it is necessary to examine the constraint of unitary processes. The system exergy represents the maximum amount of work that can be extracted from the system while bringing it into equilibrium with a thermal bath. It can be separated into two parts: ergotropy and residual energy [25]. The residual energy cannot be extracted through a unitary process, and it refers to the non-optimal performance of a cyclic thermodynamics process used to extract work from quantum batteries. Thus, the present chapter describes the relationship between exergy and its potential benefits and effects on the performance of quantum batteries.

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2. Energy storage and unitary work extraction

A quantum battery is a type of energy storage device that can be represented by a d-dimensional system with a corresponding Hamiltonian as follows

Ĥ0=nεnεnεnE1

with non-degenerate energy levels such that εn<εn+1. In quantum realm, energy can be stored in both the energy levels and coherence of a state. Therefore, any quantum system with distinct and practically accessible energy eigenstates can be considered as a quantum battery. Charging a quantum battery involves transitioning it from a low- ρ to a high-energy state ρ'. Conversely, utilizing the battery will result in a reduction of its stored energy (see Figure 1). In order to understand the charging and extraction of work, a time-dependent control parameter is used to regulate the interaction that occurs during the process. This creates a time-dependent Hamiltonian, Ĥt=Ĥ0+Vt, which describes the process. To determine the maximum amount of energy that can be extracted from a given system, one must assess a discharging process that begins at t=0 and concludes at t=τ when the battery is completely drained. It is possible to limit both the charging and discharging processes to be cyclic and unitary. In a unitary process, the energy change must always be considered as a work. The terms “work storing” and “battery charging” are used interchangeably, as are “work extraction” and “battery discharging” when using the battery. The average extracted work is given by the system’s unitary operator generated by the full Hamiltonian as follows

Figure 1.

The time-dependent (a) charging and (b) discharging protocols facilitate the charging and discharging of the battery system through the operation of the Hamiltonian H, which is activated for the duration of the time interval 0τ.

W=trĤ0ρ0trĤ0Ûρ0ÛE2

where ρ0 refers to the initial state of the system. The maximum amount of work that can, on average, be extracted from the system is given by:

E=trĤ0ρ0minÛSUdtrĤ0Ûρ0ÛE3

Then, the energy stored in a quantum battery when it’s in state ρ0 can be calculated by finding the difference between the system’s internal energy trĤ0ρ0 and the energy trĤ0ϱρ of the lowest accessible state ϱρ of system, which is passive by definition [18]. Accordingly, a state ϱ is passive if trH0ϱtrH0UϱU for all unitaries U, or, equivalently, if and only if ϱ=n=1drnεnεn for rnrn+1, i.e., it commutes with the internal Hamiltonian H0 and has non-increasing eigenvalues. This difference is known as ergotropy [12].

E=trĤ0ρ0trĤ0ϱρE4

A practical and intuitive method for constraining the extractable work of Eq. (4) is to examine a thermal state with equivalent entropy to passive state ϱρ, while also minimizing the energy in respect to H0. It has been demonstrated that the lower bound of ergotropy for an arbitrary state ρ is expressed as:

EmaxtrĤ0ρtrĤ0ρβ¯E5

where the canonical Gibbs state denoted by ρβ=expβĤ0/trexpβĤ0, with an inverse temperature β, and β¯ is selected to ensure that the von Neumann entropy Sρ=trρlnρ of state ρ is equal to that of state ρβ¯ [7]. All thermal states exhibit passivity, and in the context of two-level systems, every passive state can be characterized as thermal, as it is always possible to define a (positive or negative) temperature.

The usual scenarios involve the interaction of the quantum system with the external environment, resulting in decoherence and the depletion of quantum resources, thus defining it as an open quantum system. An open quantum battery refers to an open quantum system capable of interacting with the external environment, whether with or without a mediator. As explained earlier, if the battery system is kept isolated, closed, or protected from any external influences, it will always evolve in a unitary manner as described. However, in the case of an open quantum battery, its dynamics are determined by the global Hamiltonian as follows:

H=H0+HC+HE+HintE6

where Hint represents the interaction between the battery and/or charger and the environment. The dynamics of an open battery, described by the Hamiltonian of Eq. (6), can be expressed using quantum master equations [26]. This dynamic has been extensively studied under the Markovian regime, employing the quantum master equation in Lindblad form as follows [26]

ρ̇0t=iĤ0ρt+DρtE7

The super-operator Dρt=kγkL̂kρL̂k12L̂kL̂kρ models the battery’s interaction with the universe via operators L̂k that cause incoherent transitions at rates γk. Some research have also explored open quantum batteries beyond the Markovian approximation [19, 20]. In non-Markovian regime, the inclusion of memory effects arising from the interaction with the environment and the charger is crucial for a comprehensive depiction of the battery’s temporal evolution.

The implementation of a quantum battery in practice must address the challenge of environmental interactions. As a result, safeguarding against energy leakages and decoherence is crucial for the successful realization of such devices. As a result of these interactions, the entropy level of the battery increases, making unitary evolution insufficient to rectify entropy production and stabilize the system. Notably, the presence of decoherence effects during the charging process negatively impacts the performance of operational quantum batteries, leading to the self-discharge phenomenon [27]. Efforts have been made to mitigate the quantum battery’s interactions with the environment to prevent eventual deactivation, yet certain approaches aim to transform the environment’s role from detrimental to beneficial. Where non-unitary discharging provides more charge due to availability or exergy compared to a cyclic unitary process [25].

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3. Exergy in a quantum battery

When the system’s temperature deviates from that of the surrounding environment, it fails to achieve mutual stable equilibrium. Consequently, the requisite conditions for mutual thermal equilibrium are not fulfilled. Any absence of mutual stable equilibrium between a system and its environment can be leveraged to generate work.

In this section, consider work extraction from a quantum system with Hamiltonian H in an arbitrary non-equilibrium state ρ. In the most straightforward scenario, solely unitary operations are permitted, wherein the Hamiltonian undergoes change following a certain cyclic protocol, such that H retains its initial value both before and after the operation. The framework’s natural extension could involve the incorporation of non-unitary transformations to enhance performance. Specifically, if non-unitary transformations are added alongside unitary cyclic driving and contact with a thermal reservoir, the extracted work may increase as a result of both the system entropy changing during the protocol and the reservoir supplying additional energy. In such a scenario, the maximum amount of extractable work is determined by the disparity in non-equilibrium free energy between the state ρ and the thermal equilibrium state at the reservoir inverse temperature βkB=1 as follows

Wext=FρFρβ=β1SρρβE8

where Sρσ=trρlnρlnσ stands for the quantum relative entropy [28]. Implementing an operationally reversible isothermal process enables the attainment of this outcome [29, 30]. The non-equilibrium free energy for a system in state ρ, with Hamiltonian H, and with respect to a thermal bath at reverse temperature β is defined as

Fρ=trβ1SρE9

The quantity Wext represents the extractable work from a system as it reaches equilibrium with a thermal reservoir, which can be referred to as exergy Σρρβ in analogy with the classical definition of exergy in thermodynamics by Zoran Rant [31], originating from the Greek term “ex” [εξ] and “ergon” [εργoν]. Evidently, given that Eq. (8) exergy is the information gain, up to a factor β and it is considered a fundamental quantity both in statistics and physics. In fact, the exergy of a system is characterized as the utmost work achievable by the combination of the system and a defined thermal bath. The bath is presumed to be infinite, in equilibrium, and encompassing all other systems. Generally, the bath is determined by specifying its temperature, pressure, and chemical composition. Exergy is not solely a thermodynamic property, but rather a property of both a system and the bath.

In other instances, it should be noted that the system may be considered to be in contact with a reservoir that adheres to fermionic (or bosonic) statistics with a chemical potential of μ and a temperature of T. Within this context, the system also has the ability to exchange particles with the reservoir. Where the reservoir is in own local thermal equilibrium state ρβ=Z1expβĤμN̂ with partition function Z=trexpβĤμN̂ and particle number operator N̂. In this way, the maximum available work or exergy is delineated as follows [32].

Σρρβ=ΛρΛρβ=β1SρρβE10

where Λρ̂=EμNTSρ is the non-equilibrium grand potential with E=trρĤ, and N=trρN̂ being the energy, and particle number of the system, respectively.

3.1 Balance equation

After the extraction of ergotropy, it is established that the internal energy of the system does not diminish to zero [12, 33], thereby leaving a residual amount of energy still accessible within the system. To measure the amount of energy that can be extracted following ergotropy’s extraction, one can analyze the system’s dynamics, as illustrated in Figure 2 [25]. The available work in the initial state ρ0 can be extracted in two distinct manners: (1) through a unitary process that transitions the system into a passive state ερ0, thereby quantifying the extractable work as ergotropy, and (2) via a non-unitary process that guides the system to the thermal equilibrium state ρβ, quantifying the extractable work as the variation in free energy. As depicted in Figure 2, it becomes feasible to identify a specific amount of energy denoted as Σερ0ρβ, such that the exergy Σρ0ρβ is extracted in process ρ0ρβ, and the extractable ergotropy E in process ρ0ερ0 adheres to the balance equation [25]

Figure 2.

A visual illustration of the three states under discussion is depicted in the schematic. The extraction of ergotropy, which leaves the system entropy unchanged, is succeeded by the thermalization process, leading the system to reach equilibrium with a thermal reservoir at reverse temperature β [25].

Σρ0ρβ=Eρ0+Σϱρ0ρβE11

where Σϱρ0ρβ=Fϱρ0Fρβ is the exergy of passive state ϱρ0 and represents an available work which unitary processes are unable to extract. In view of these factors, it can be demonstrated that the reduction in free energy exceeds the ergotropy, i.e., Σρ0ρβEρ0, where equality is attained only when passive state exergy vanishes. It is important to observe that the existence of the environment serves a beneficial purpose, providing an additional energy source and enhancing our capacity to harness work.

This outcome has dual interpretations. The initial interpretation concerns the distinctive nature of an energetically efficient starting point for storing ergotropy. When a system interacts with a reservoir, the initial ergotropy is stored in a non-pure state ρ0. Then, through an optimal unitary operation U, the system can be driven for a brief period to extract ergotropy. By appropriately selecting the initial state so that Uρ0Uρβ, it becomes apparent that Σϱρ0ρβ=0, resulting in Σρ0ρβ=Eρ0. In summary, all the available energy of the system can be harnessed as ergotropy. Consequently, given the uniqueness of the thermal state ρβ, the optimal unitary operation U leads to the uniqueness of ρ0. The second scenario involves the efficient extraction of energy. Moreover, since the quantity Σϱρ0ρβ cannot be negative, the energy lost during ergotropy extraction is an anticipated natural outcome owing to entropy production. The second scenario can be seen as a direct application of the second law of thermodynamics to quantum batteries. Given that Σϱρ0ρβ>0, one can write

ΔS>βtrHρβtrHϱρ0E12

Here, ΔS=S(ρβ)S(ϱρ0) represents the amount of entropy production necessary to extract the stored exergy within the system. Considering that the heat exchanged during thermalization between the system and reservoir is determined by the internal energy variation of the system [34], it can be inferred that ΔS>βQ.

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4. Conclusions

This chapter addresses the dissipation of energy during cyclic unitary work extraction from a quantum system, with a focus on the identification of this energy loss as the exergy of the quantum passive state. It was demonstrated that, in a real-world scenario, the ergotropy results in energy loss due to the constraints of the unitary process. Additionally, the presence and uniqueness of an optimal passive state for ergotropy and exergy extraction is examined by taking into account the system-bath interaction that leads to thermalization. With respect to the second law of thermodynamics, our key finding was explained as a natural outcome of the entropy production during the thermalization process for exergy extraction. Our results also led to the identification of a range of ergotropy and exergy extraction processes where the total quantum correlations of the system (measured through quantum discord) are conserved. This implies that the exergy of a quantum passive state can be preserved as quantum correlations. As exergy represents the amount of energy recoverable through a thermalization process, our findings open up new possibilities for developing operational protocols for open quantum batteries.

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Acknowledgments

This work has been supported by the University of Kurdistan. F.H. Kamin and S. Salimi thank Vice Chancellorship of Research and Technology, University of Kurdistan.

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Conflict of interest

The authors declare no conflict of interest.

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Written By

Farzaneh Hatami Kamin and Shahriar Salimi

Submitted: 01 January 2024 Reviewed: 01 February 2024 Published: 26 March 2024