1. Introduction
As society and the economy expand rapidly, the consumption of fossil energy has surged accordingly. The carbon dioxide emitted from this energy source poses a significant environmental threat [
1]. Hydrogen is considered to be a potential energy carrier utilized in fuel cells and combustion processes [
2]. Hydrogen is a clean energy source that falls within the category of green energy sources [
3]. Fuel cells are anticipated to serve as a superior carbon-free option [
4]. Due to the absence of greenhouse gasses (like carbon dioxide and nitrogen oxides) and their ability to produce electricity using only water and heat as byproducts, hydrogen fuel cells are considered to be an environmentally friendly energy source [
5].
PAFCs are highly preferred for addressing diverse electricity demands in buildings due to their exceptional durability and reliability [
6]. These fuel cells can consistently perform even in challenging conditions. Utilized for supplying power to large buildings, supporting small distributed generation, and propelling vehicles, PAFCs contribute to emission reduction and the promotion of sustainable development. The capability to manage fuel impurities enhances their reliability and reduces pre-processing requirements [
7].
Yurong [
8] conducted a detailed study on a comprehensive system that integrates compressed air energy storage, the organic Rankine cycle (ORC), and an absorption refrigeration system (ARS). The study focused on multi-objective optimization to improve round-trip efficiency while minimizing the investment cost per unit of output power. After integrating the ORC with the PAFC system, Seunghun achieved a maximum exergy efficiency of 52.70% for this hybrid system by efficiently harnessing the waste heat [
9]. Xinru [
10] developed a hybrid ORC and PAFC system using a numerical simulation, with a focus on energy efficiency, utility, and the environmental impacts. Similarly, incorporating an ARS with a PAFC system can yield substantial efficiency improvements, as ARSs are commonly employed to recycle various low-grade heat energies [
11]. Past research has explored the integration of PAFC with ORC [
9,
10] and ARS [
12].
ARSs offer numerous advantages over ORC systems, especially when used with low-temperature heat sources, thereby expanding their applicability. Conversely, ORC systems demonstrate superior energy conversion performance at elevated temperatures [
13]. Furthermore, the versatility of absorption refrigeration systems extends to their customization for combined cooling and storage heating [
14], thereby enhancing adaptability across diverse scenarios. Most importantly, the efficiency of a single-effect ORC system is approximately 25% [
15], representing a significant energy wastage. In contrast, single-effect ARSs typically achieve an efficiency of around 60% to 80% [
16].
The efficacy of ARSs in energy utilization is notably due to their proficiency in harnessing surplus or low-quality energy. It is important to note, however, that this advantage comes with the trade-off of higher equipment investment and operational costs [
17]. On the other hand, ORC systems prove to be efficient in both low-temperature and small-scale equipment, demonstrating adaptability to various working fluids and conditions [
9,
13], albeit with potential concerns such as the generation of toxic substances. Lastly, Puqing [
12] developed a hybrid system integrating an ARS and a PAFC through numerical simulations using MATLAB Simulink. His study thoroughly examined various parameters affecting the hybrid system’s performance; however, his analysis did not cover the energy efficiency, exergy efficiency, economic, or exergy aspects of the system. Demonstrably, the PAFC-ARS has not been thermodynamic and economically evaluated before.
It is evident that there is a need to carry out efficiency and economic analyses of PAFC-ARS systems. This study addresses this gap with a comprehensive analysis of a 440 kW PAFC system integrated with an ARS, considering its energetic, exergetic, and economic dimensions. The evaluation of the system entails adjusting the operating pressure of the PAFC and the working fluid in the ARS. This equipment can be applied around hydrogen production plants because the costs associated with storing and transporting hydrogen are relatively higher than those for electricity.
3. Modeling Description
3.1. PAFC Model
The accurate modeling and simulation of PAFC is important to ensure reliable operation and optimize system performance. Cells are a class of electrochemical devices that serve as energy converters. Specifically, PAFCs fall into the category of hydroxyl cells. The anode reaction of hydroxyl fuel cells can be described by the following equations (Equations (1) and (2)):
The cathodic reaction is:
In order to construct the PAFC system with Aspen Plus V12
®, precise calculations of voltage and power are needed. The expression for the voltage of the PAFC in degrees Celsius is given by Equations (3) and (4) [
26].
The variables in question are defined as follows:
ENernst represents the Nernst voltage,
Vact denotes the activation polarization loss,
Vohm represents the ohmic polarization loss, and
Vconc represents the concentration polarization loss.
where
E0 is the ideal voltage at standard pressure; R is the ideal gas constant; F is the Faraday constant;
T is the operating temperature of the PAFC; and
pH2,
pO2, and
pH2O are the partial pressures of H
2, O
2, and H
2O, respectively.
The activation polarization loss occurs at the anode and cathode. The modified Butler–Volmer equation is used in the calculation and is expressed as follows in Equations (5)–(7):
The activation polarization losses occurring at battery terminals are represented by the symbols
Vact,a and
Vact,c, respectively. The exchange current densities at battery terminals are denoted as
i(0,a) and
i(0,c), respectively. The charge transfer coefficients associated with battery terminals are denoted as
αa and
αc, respectively. Finally, the battery terminals’ constants are represented by the symbols
λa and
λc, correspondingly. The current density is dependent on temperature and may be mathematically expressed as follows in Equations (8)–(10):
where tele is the thickness of the electrolyte and
σ is the specific conductivity of the aqueous phosphoric acid solution. The specific conductivity can be determined by the temperature, viscosity, and concentration [
26] in Equation (11):
The mole percentage of phosphoric acid in the electrolyte is denoted by
X, while the viscosity is represented by
μ. Equation (12) determines the conductivity and has been modified to accommodate the specific units employed in the model discussed in this study. The expression for concentration polarization loss is provided as follows in Equation (11):
3.2. Absorption Refrigeration Model
Absorption refrigeration, distinct from conventional vapor compression, employs heat absorption and evaporation for diverse cooling applications. The essential components are the working fluids, acting as a refrigerant and an absorbent. This study specifically focuses on the LiBr/H
2O and R134a/DMF working pairs. To create the thermodynamic model of ARS, it is necessary to consider two governing equations: one for mass conservation and one for energy conservation. The mass balance, concentration balance, and energy balance equations [
27] can be expressed as follows (Equations (13)–(15)):
The symbol represents the mass flow, where and are heat and work transfer rates, respectively, crossing the system boundary. x represents the concentration. In the LiBr/H2O system, water serves as the refrigerant and LiBr servers as an absorbent. For the R134a/DMF system, R134a, a common vapor-compression refrigerant, evaporates in the evaporator, absorbing heat for cooling. Mixing with DMF in the absorber releases heat, raising the temperature. The refrigerant condenses in the condenser’s post-generator heat, restarting the cycle as the liquid refrigerant enters the evaporator.
3.3. Exergy Modeling
In this study, energy reduction is a key parameter affected by thermodynamic irreversibility [
28]. To determine the total exergy of a system, it is necessary to combine its chemical and physical exergy and neglect other exergy [
29] using Equation (16).
In this specific context, “physical exergy” pertains to the utmost amount of work that can be accomplished when transitioning a singular unit mass of a substance solely through physical methods from its initial state to its ambient conditions. The subsequent equation illustrates the computational procedure [
30] using Equations (17) and (18).
The symbol
m represents the mole flow. Specific enthalpy and entropy are denoted by the variables
h and
s, respectively. Reference [
31] in the literature provides data on the traditional chemical exergy of various gasses. The concept of chemical exergy is discussed without considering potential and kinetic exergy [
9]. The calculation of exergy utilizes the equation labeled as Equation (18).
Inside
Table 2, several components related to exergy parameters are included within the system. For the calculation of exergy efficiency (
) and exergy destruction (
) for every component, Equations (19) and (20) are employed. Equation (21) contains the remaining relevant variables.
The net electric energy efficiency () for the PAFC, exergetic efficiencies for the PAFC-ARS (), domestic hot water exergetic efficiencies for the PAFC-ARS (), and domestic cooling water exergetic efficiencies for the PAFC-ARS () are calculated using Equations (22)–(26), respectively.
The variable
denotes the Lower Heating Value (
LHV) corresponding to the quantity of syngas introduced into the anode of the PAFC stack. Regarding the PAFC-ARS subsystem, Equations (24) and (25) are used to compute the power inputs and outputs, while Equation (25) is employed to determine the
.
The variable We represents the net power of the PAFC system. The variable represents the temperature of domestic hot water, whereas represents the temperature of domestic cooling water.
3.4. Economic Modeling
A technique used in the economic analysis of the PAFC-ARS hybrid system involves the categorization of the chemical engineering plant cost index (CAPEX) into five distinct groupings. The categories included in this study are total project cost (Tp), total overnight cost (To), total as-spent cost (Tas), bare erected cost (
Be), engineering, procurement, and construction cost (Ep), and total project cost (Tp). The calculations for each of these categories are performed using the corresponding Equations (27)–(30), as presented in
Table 3.
The original equipment cost
is summarized in
Table 3. It should be noted that the cost estimation has to be converted to the year 2023, or the present year, by using the CEPCI. The detailed conversion equation of component cost in different years was estimated using Equation (31), the details of which can be found in [
31].
Finally, the economics of the power plant over its lifespan was assessed using net present values (
NPV). To ascertain the current value, all forthcoming cash flows are evaluated using a discount factor (
i). The acceptability of the electricity system is contingent upon the positive NPV found using Equation (32) [
31].
The value of each component was determined by adding the installation expenses to the cost of the component. The concept of the EPC encompasses both the direct costs and the expenses related to indirect costs. The total price (Tp) includes both the estimated project cost (EPC) and expenses associated with contingencies. The “To” refers to the total cost, which includes the total project cost (TPC), additional night-time expenses, and the owner’s cost.
Table 4 provides a summary of the parameters used to estimate capital expenditures (CAPEX), operating expenditures (OPEX), and the economic assumptions required to evaluate the economic analysis.
5. Conclusions
This paper presents the PAFC-ARS, which is environmentally friendly and does not emit greenhouse gasses. This system can be applied in commercial sectors to meet diverse energy demands and reduce operating costs. The PAFC-ARS demonstrated a notable overall exergy efficiency in its heating model, reaching 61.0% when employing LiBr/H2O as the working fluid pairs. Moreover, the PAFC-ARS hybrid system showcased a peak net electric energy efficiency () of 52% when utilizing LiBr/H2O as the working fluid, underscoring its capacity to convert a substantial fraction of incoming energy into practical output efficiently.
The economic viability of the PAFC-ARS indicates a payback period of 8 years. This assessment operates under the assumption that LiBr/H2O will be used as the operational medium and also assumes an energy cost of up to 2.4 USD/t hot water, cooling water, as well as 0.13 USD/kWh for electricity. Conversely, under comparable conditions, the use of R134a/DMF resulted in the same payback period with 2.1 USD/t for hot water, cooling water, and 0.16 USD/kWh. Price comparisons reveal that the former charges are slightly higher than market prices for both heat and cold energy, while the latter charges are slightly above market prices for electricity.