Appendix A. Energy Circuit Simulation and Interpretation
The provided Python code simulates the provides energy circuit in three stages consisting of interconnected blocks; “Circuit Block 1”, “Circuit Block 2”, and a Boost Converter (“Circuit Block 3”), based on the earlier established mathematical descriptions of the energy circuit’s design. These stages fundamentally form the focus of the paper, which is to illustrate how to generate excess electrical energy, starting from known input energy requirements of an electrical circuit. The results are presented in
Table 1. Researchers and practitioners can use this code for further experimentation, exploring different scenarios and adjusting parameters to observe the circuit’s response in varied conditions. The code serves as a practical tool for validating the theoretical concepts presented in the paper.
Remark 8 (On the Analysis Results): The simulation code assumes a forward voltage drop for diodes of , for simplistic illustrations throughout the paper. It should be noted that this voltage may vary from diode to diode, depending on the specific circuit applications.
Energy Circuit Simulation Code
# This code was developed and executed on Google Colab
#Prepare/Import the necessary libraries
# You may need to begin by installing: #!pip install PySpice
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
# Circuit Component 1 (Power Source)
V_source = 10 # Source voltage in volts
R_conductors = 10 # Resistance of connecting conductors in ohms
# Power input to the diodes in “Circuit Block 1”
I_CB1 = V_source / R_conductors
# “Circuit Block 1”
n = 1.1 # Ideality factor
Vt = 0.0259 # Thermal voltage at room temperature
# Diode parameters
I_s = 1.5e-14 # Saturation current for diodes
# Diode voltages
V_D1 = 0.7 # Example forward voltage drop for diodes
V_D2 = 0.0
# Calculate total current through Block 1 (I_CB1)
I_CB1 = I_s * (np.exp(V_D1 / (n * Vt)) + np.exp(V_D2 / (n * Vt)) - 2) # Equation (4)
# Voltage across Block 1
V_CB1 = V_D1+ V_D2
# “Circuit Block 2”
R_0 = 1.5 # Reference resistance
R_short = 0.001 # Resistance change due to short circuit
V_CB2 = 0.8 * V_CB1 # Voltage drop after short circuit
a = V_source / R_0 # Current scaling factor
# Calculate short circuit effect current
I_short_circuit_effect = a * np.exp(R_short / R_0)
# Calculate power input to Block 2
P_out_CB2 = V_CB2 * I_short_circuit_effect
# Calculate effective resistance in Block 2
R_CB1_overall = R_conductors # Overall resistance in Block 1
R_short_effective = R_CB1_overall + R_short
# Design and set the Boost Converter Parameters
Vin = V_CB2 # Input voltage from the previous circuit (in volts)
Vout = V_source # Output voltage (in volts)
R = R_short_effective # Load resistance (in ohms)
L = 50e-6 # Inductor value (in henries)
C = 100e-6 # Output capacitor value (in farads)
fsw = 50e3 # Switching frequency (in hertz)
D = Vout / Vin # Duty cycle
# Use the short circuit current as the initial inductor current
IL_initial = I_short_circuit_effect
# Function to define the boost converter differential equations
def boost_converter(y, t):
IL, VC = y # Inductor current and capacitor voltage
# Boost Converter Equations
dIL_dt = (Vin * D - Vout) / L
dVC_dt = IL / C
return [dIL_dt, dVC_dt]
# Initial conditions with short circuit current
initial_conditions = [IL_initial, Vout * D]
# Time points for simulation
t = np.linspace(0, 2e-3, 1000) # 2 milliseconds simulation time
# Solve the boost converter differential equations
solution = odeint(boost_converter, initial_conditions, t)
# Extract results
IL = solution[:, 0]
VC = solution[:, 1]
VR = IL * R # Voltage across the load resistor
# Print results
print(“Circuit Component 1:”)
print(“Current Input to Diodes (“Circuit Block 1”):”, I_CB1, “A”)
print(“\n”Circuit Block 1”:”)
print(“Total Current (I_CB1):”, I_CB1, “A”)
print(“Voltage Across Block 1 (V_CB1):”, V_CB1, “V”)
print(“\n”Circuit Block 2”:”)
print(“Voltage Drop After Short Circuit (V_CB2):”, V_CB2, “V”)
print(“Short Circuit Effect Current (I_short_circuit_effect):”, I_short_circuit_effect, “A”)
print(“Power Output from Block 2 (P_out_CB2):”, P_out_CB2, “W”)
print(“Effective Resistance in Block 2 (R_short_effective):”, R_short_effective, “ohms”)
# Print individual power values
print(“\nPower Input to Diodes (“Circuit Block 1”):”, V_CB1 * I_CB1, “W”)
print(“Power Input to Block 3 (P_out_CB2):”, P_out_CB2, “W”)
print(“Power Output Block 3 (W):”, VR[-1] * IL[-1]) # Print the last value to represent the total power output
# Print time, inductor current, capacitor voltage, and load voltage
print(“\nTime (s)\tInductor Current (A)\tCapacitor Voltage (V)\tLoad Voltage (V)”)
for i in range(len(t)):
print(f”{t[i]:.6f}\t{IL[i]:.6f}\t\t\t{VC[i]:.6f}\t\t\t{VR[i]:.6f}”)
# Plot results
plt.figure(figsize=(10, 6))
plt.subplot(2, 1, 1)
plt.plot(t, IL, label=‘Inductor Current’)
plt.xlabel(‘Time (s)’)
plt.ylabel(‘Current (A)’)
plt.legend()
plt.subplot(2, 1, 2)
plt.plot(t, VC, label=‘Capacitor Voltage’)
plt.plot(t, VR, label=‘Load Voltage’)
plt.xlabel(‘Time (s)’)
plt.ylabel(‘Voltage (V)’)
plt.legend()
plt.tight_layout()
plt.show()
Appendix B. The Modified Ohm’s Law and Its Application in Breaking the Law of Energy Conservation (Reflecting Real-World Scenarios)
The modified Ohm’s Law used in the paper (adapted from [
33]) provides a unique framework for understanding the behavior of the proposed energy circuit, particularly in real-world scenarios. This modified formulation incorporates additional parameters such as
,
, and
, offering a more comprehensive representation of the circuit’s dynamics. This appendix serves as a guide on how to utilize and interpret this modified Ohm’s Law in practical settings.
The Modified Ohm’s Law Equation
In the provided energy circuit, the modified Ohm’s law apply after the electrical short circuit event in “Circuit Block 2”. This modified Ohm’s Law equation is expressed through the paper according to equation (6) as follows.
With the parameters,
Short circuit effect current is the short circuit effect current.
a is the current scaling factor.
Rshort is the resistance change due to the short circuit.
R0 is the reference resistance.
Parameters Explanation
: This parameter represents the base resistance in the circuit, providing a reference point for current scaling. It sets the initial conditions for the circuit and influences the short circuit effect.
: This parameter models the impact of a short circuit on “Circuit Block 2” resistance. It quantifies the change in resistance during a short circuit event, influencing the short circuit effect current.
: The current scaling factor adjusts the magnitude of the short circuit effect current. It is directly proportional to the source voltage () and inversely proportional to . It scales the exponential term in the equation, determining the overall impact of the short circuit.
Application in Real-World Scenarios
The parameters
,
, and
play a crucial role in replicating real-world scenarios in the proposed energy circuit.
Table 1 showcases the application of these parameters under different supply voltage settings.
: Adjust based on the desired initial resistance conditions. Depending of other circuit parameters, adjusting “” has a direct impact on the overall magnitude of the current. Larger “” values result in smaller current values for a given resistance.
: Vary to simulate different short circuit scenarios. Larger values represent a more pronounced change in resistance during a short circuit.
: is directly linked to the source voltage ( as applied in the simulation, Appendix I). As increases, increases, influencing the magnitude of the short circuit effect current.
Appendix C. Possible Applications of the Energy Circuit-Addressing Some Critical Challenges
The proposed energy circuit introduces innovative solutions to several challenges in modern energy systems. Its innovative design and operation challenge conventional scientific boundaries, offering a new perspective on energy conservation, creation, and practical applications. This section provides some detailed explanations of the applications of the energy circuit, its merits over existing systems, and an assessment of current systems it aims to address.
Energy Creation and Conservation
The proposed energy circuit explores new frontiers in the field of energy generation and conservation. It challenges conventional understanding and established principles of energy conservation by introducing an innovative approach that fundamentally redefines the boundaries of energy generation. The energy circuit’s journey from energy creation to conservation is marked by distinctive features, each contributing to its revolutionary nature.
Generating Energy from Anomalous State-Advantages of the Energy Circuit. The distinguishing feature of the energy circuit lies in its capacity to create energy from what has be described as an anomalous state (the energy circuit begins from a non-Ohmic state to a Ohmic state). This capability is harnessed through a well-defined formula (
Appendix B provided detailed understanding of the formula), providing a systematic approach to computing the short circuit current. This formula serves as a foundational tool in addressing the aftermath of an electrical short circuit, aligning seamlessly with our intuitive understanding of the short circuit phenomena. This departure from conventional understanding challenges established principles of energy conservation. Through the utilization of the electrical short circuit model, the energy circuit accomplishes energy generation while upholding a consistent current flow. This innovative approach introduces a shift from traditional methods of energy generation. The circuit’s capacity to confront and redefine the confines of energy creation unveils fresh opportunities for addressing the growing demand for effective and sustainable energy sources [
74].
A Possible Solution on the Principle Limitations of Current Systems in Energy Creation. The limitations of current conventional energy systems lie in their strict adherence to established principles of energy conservation, rooted in well-understood physical laws. These systems operate within the boundaries defined by the laws of thermodynamics, aiming for efficiency within those constraints. While this approach has merits in ensuring the predictability and stability of energy systems, it inherently restricts the potential for extracting additional advantages from the process of energy generation. Conventional energy systems operate under the premise that the total energy input must equal the total energy output [
75], in line with the first law of thermodynamics. This adherence to the law, while essential for maintaining a reliable and consistent energy supply, limits the capacity for innovation within the existing framework. The proposed energy circuit, by contrast, challenges this conventional understanding and demonstrates that working within the confines of the law of energy conservation does not inherently yield extra advantages in energy creation. The examination of existing systems goes beyond the constraints imposed by principles of energy conservation. These systems often face challenges related to energy loss during transmission, reliance on finite resources, and environmental impact. The proposed energy circuit, operating within classical settings yet deviating from conventional norms, addresses some of these limitations. One significant limitation of current systems is their dependence on finite resources, such as fossil fuels [
2,
5,
9], which not only contribute to environmental pollution but also face depletion over time. The proposed energy circuit, with its unconventional approach to energy generation, offers a potential avenue for reducing dependence on these finite resources, contributing to sustainability. Moreover, the conventional systems struggle with issues of energy loss during transmission through power lines. The proposed energy circuit, with its unique configuration and focus on short-circuit phenomena, introduces a novel perspective that may mitigate such transmission losses.
Applications in Electric Vehicles (EVs)
Electric vehicles (EVs) represent a crucial frontier in sustainable transportation [
77,
78], offering the potential to reduce environmental impact and dependence on traditional combustion engines. However, the widespread adoption of EVs faces challenges related to recharging infrastructure and operational limitations [
78]. The proposed energy circuit intervenes in this domain, providing a novel solution to enhance the functionality and convenience of electric vehicles.
On Self-Recharging EVs-Application Merits. The merits of the energy circuit extend significantly to the realm of electric vehicles (EVs), providing an innovative solution to the challenges faced by these vehicles with the possibility of introducing the concept of self-recharging. Traditional electric vehicles rely heavily on external recharging infrastructure [
78], limiting their operational range and posing challenges in areas with sparse charging stations. The proposed energy circuit revolutionizes the landscape by enabling EVs to become self-recharging entities. This transformative capability addresses a critical issue in the current domain of electric vehicles-the ability to generate power continuously while in operation. Unlike traditional EVs that require external recharging stations, vehicles integrated with the proposed energy circuit can harness excess power during operation. This self-recharging feature eliminates concerns about the availability and accessibility of recharging infrastructure, particularly in rural and less populated areas. The excess power generated during operation can be directed back into the energy circuit system, effectively recharging it without relying on external sources. This breakthrough not only enhances the autonomy of electric vehicles but also mitigates the challenges associated with limited recharging infrastructure. In practical terms, this means that electric vehicles equipped with the proposed energy circuit can continuously replenish their power reserves during operation. The excess harvested power serves a dual purpose-powering the vehicle and simultaneously recharging the energy circuit system. This self-sustaining capability offers a solution to one of the primary drawbacks of current EV systems, marking a significant advancement in the field of electric transportation.
Possible Solution for Limited Recharging Infrastructure. Current electric vehicles encounter significant challenges due to the limited availability of recharging infrastructure [
79], particularly in rural and less populated areas. The scarcity of recharging stations poses a substantial barrier to the widespread adoption of EVs, leaving drivers anxious about finding a charging point. This limitation restricts the convenience of owning an EV and hampers long journeys, contributing to apprehensions among potential EV users. Additionally, the extended duration required for recharging an EV, even with fast-charging stations [
79,
80], remains a significant drawback. The energy circuit’s capacity to enable self-recharging in EVs addresses these limitations, offering a transformative solution to make EVs more practical and convenient for a broader range of users.
Microgrid Development
Microgrids represent a promising avenue for decentralized energy generation and distribution [
81,
82,
83], offering a localized and often more resilient solution to energy needs. In the context of microgrid development, the proposed energy circuit assumes a pivotal role, providing a continuous power generation and storage solution that transforms the dynamics of microgrid resilience.
Enhanced Resilience-An Application Advantage. The energy circuit shows an application advantage in fostering the development of microgrids by providing a continuous power generation and storage solution. In the context of microgrid development, the proposed concept of introducing of self-recharging circuits offers a transformative enhancement in terms of resilience. Microgrids equipped with these circuits will gain the capability to operate autonomously and continuously generate and store their energy. This newfound resilience becomes particularly crucial in mitigating the vulnerabilities associated with power outages and disruptions. Unlike traditional microgrid systems that may face limitations in sustained power supply [
82], those integrated with self-recharging circuits can provide uninterrupted energy even during grid failures or emergencies. The enhanced resilience offered by these circuits positions microgrids as more reliable and robust contributors to local energy solutions.
Possible Solution for Microgrid Systems-Grid Dependency. The existing energy infrastructure often leaves communities and industries reliant on centralized power grids [
83], exposing them to vulnerabilities related to grid dependency. This dependence on external power sources makes these entities susceptible to power outages and disruptions, which can have cascading effects on various aspects of daily life and industrial operations. The introduction of self-recharging circuits addresses this limitation by empowering microgrids with the capability to generate and store their energy continuously. This shift towards energy independence enhances the resilience of microgrids, making them less susceptible to external disruptions and contributing to the development of a more robust and sustainable energy ecosystem.
Renewable Energy Integration
The integration of renewable energy sources into the existing power grid has been a longstanding goal in the pursuit of sustainable energy solutions [
84]. The innovative design of the energy circuit plays a pivotal role in advancing this objective, offering a range of merits that significantly enhance the utilization of renewable energy.
Efficient Energy Storage-Application Merits. The innovative design of the energy circuit brings significant merits to the integration of renewable energy sources. One notable advantage lies in the energy circuit’s efficiency in capturing and storing excess energy generated by renewable sources such as solar and wind. The intermittent nature of renewable energy has been a longstanding challenge in the field. Solar panels produce energy when exposed to sunlight, and wind turbines generate power when the wind is blowing, creating periods of energy abundance and scarcity. The energy circuit addresses this issue by providing an efficient means of storing surplus energy during peak generation periods. This stored energy can then be utilized during periods of low or no renewable energy production, ensuring a more consistent and reliable energy supply.
Addressing Limitation of Intermittency of Renewable Sources. The unpredictable nature of weather conditions directly affects the generation capacity of these renewable sources, leading to fluctuations in energy production. This intermittency poses challenges to maintaining a stable and reliable energy supply to the grid. In periods of low renewable energy production, the reliance on traditional energy sources may increase, offsetting the environmental benefits of renewable energy. The energy circuit addresses this challenge by efficiently storing excess energy during peak generation, thereby mitigating the impact of intermittent renewable sources on the overall energy supply.
Addressing the Energy Crisis
As established earlier, the contemporary global energy landscape faces a complex crisis [
2], marked by challenges arising from the depletion of finite resources, environmental degradation, and an escalating demand for energy. Traditional energy systems, primarily hinged on fossil fuels, have proven unsustainable, contributing significantly to these challenges. In response to this pressing issue, the innovative energy circuit emerges as a transformative solution, offering a departure from conventional approaches and presenting a pathway towards mitigating the global energy crisis.
Mitigating Global Energy Crisis-An Application Advantage. The energy circuit emerges as a transformative solution in mitigating the global energy crisis. One of its key merits lies in its ability to provide an alternative method of energy generation. Conventional energy systems, predominantly reliant on fossil fuels and finite resources, contribute significantly to the depletion of these resources, escalating the global energy crisis. The energy circuit challenges this norm by efficiently capturing excess energy and reducing the consumption of finite resources. By introducing a novel approach to energy creation, the circuit offers a pathway to sustainable energy generation, addressing the root causes of the ongoing energy crisis.
Addressing the Limitation of Dependency on Finite Resources. A major challenge of current energy systems centers around their heavy reliance on finite resources [
85]. Traditional methods of energy generation, such as coal, oil, and natural gas, are not only environmentally detrimental but also contribute to the depletion of finite resources. The increasing demand for energy exacerbates this dependency, creating a looming crisis. The proposed energy circuit directly confronts this challenge by presenting an innovative model that minimizes reliance on finite resources. Through its capacity to efficiently capture and utilize excess energy, the circuit charts a course towards a more sustainable and environmentally conscious approach to energy generation, ultimately contributing to the alleviation of the global energy crisis.