Emission Power Research Articles

Negative carbon emission power generator: A combination of high temperature proton exchange membrane fuel cell and absorption carbon capture system

Negative carbon emission power generator: A combination of high temperature proton exchange membrane fuel cell and absorption carbon capture system

Theory of molecular emission power spectra. III. Non-Hermitian interactions in multichromophoric systems coupled with polaritons.

Based on our previous study [Wang et al., J. Chem. Phys. 153, 184102 (2020)], we generalize the theory of molecular emission power spectra (EPS) from one molecule to multichromophoric systems in the framework of macroscopic quantum electrodynamics. This generalized theory is applicable to ensembles of molecules, providing a comprehensive description of the molecular spontaneous emission spectrum in arbitrary inhomogeneous, dispersive, and absorbing media. In the far-field region, the analytical formula of EPS can be expressed as the product of a lineshape function (LF) and an electromagnetic environment factor (EEF). To demonstrate the polaritonic effect on multichromophoric systems, we simulate the LF and EEF for one to three molecules weakly coupled to surface plasmon polaritons above a silver surface. Our analytical expressions show that the peak broadening originates from not only the spontaneous emission rates but also the imaginary part of resonant dipole-dipole interactions (non-Hermitian interactions), which is associated with the superradiance of molecular aggregates, indicating that the superradiance rate can be controlled through an intermolecular distance and the design of dielectric environments. This study presents an alternative approach to directly analyze the hybrid-state dynamics of multichromophoric systems coupled with polaritons.

Entropic Analysis of the Maximum Output Power of Thermoradiative Cells

Abstract In this study, entropic analysis is combined with the detailed balance model to determine the maximum output power of thermoradiative (TR) cells, which are semiconductor devices that generate electric power from a heat source that emits photons to a cold reservoir. Previous studies used different models without addressing their interconnections and inherent assumptions. This work unifies these models by considering the modified Bose-Einstein distribution of photons and reveals the underlying relationship between different models. The findings provide useful insights on the application and optimization of emissive power generation devices for harvesting low-grade heat and space power generation.

Development of model representations of thermal reaction viscoelastic bodies on the temperature field

Objectives. In recent decades, the relevance of research into the thermal response of solids to a temperature field has increased in connection with the creation of powerful energy emitters and their use in technological operations. There is a significant number of publications describing these processes using mathematical models of dynamic or quasi-static thermoelasticity, mainly for most technically important materials that obey Hooke’s law. However, at elevated temperatures and higher stress levels, the concept of an elastic body becomes insufficient: almost all materials exhibit more or less clearly the phenomenon of viscous flow. The real body begins to exhibit elastic and viscous properties and becomes viscoelastic. A rather complex problem arises: the development of dynamic (quasistatic) thermoviscoelasticity within the framework of the corresponding mathematical models of classical applied thermomechanics and mathematics. The purpose of the work is to consider the open problem of the theory of thermal shock in terms of a generalized model of thermoviscoelasticity under the conditions of classical Fourier phenomenology on the propagation of heat in solids. Three types of intense heating are considered: temperature, thermal, and medium heating. Intensive cooling modes can be equally considered. The task is posed: to develop model representations of dynamic (quasi-static) thermoviscoelasticity that allow accurate analytical solutions of the corresponding boundary value problems on their basis. This direction is practically absent in the scientific literature.Methods. Methods and theorems of operational calculus were used.Results. Model representations of the thermal response of viscoelastic bodies using the proposed new compatibility equation in displacements have been developed.Conclusions. New integro-differential relations are proposed based on linear rheological models for the Maxwell medium and the Kelvin medium, including both dynamic and quasi-static models for viscoelastic and elastic media, generalizing the results of previous studies. The proposed constitutive relations of the new form are applicable to describe the thermal response of quasi-elastic bodies of a canonical shape simultaneously in three coordinate systems with a system-defining parameter, which makes it possible to identify the influence of the topology of the region on the value of the corresponding temperature stresses.

Optimizing Continuous Wave Semiconductor Laser toward Achieving (100’s) mW Power for Use in Medical Application: Theoretical Work

Diode laser is very efficient in medical applications, especially in photodynamic therapy (PDT), a type of laser phototherapy. Conventional laser diodes are classified as low-power lasers that emit laser radiation with a power of few 10s-mW. Extending the laser diode to further applications requires enhancing the emitted power. In this theoretical research, we aim to optimize laser diode's continuous-wave (CW) parameters that control the light-current (L-I) characteristics toward achieving higher slope efficiency and output power. The study is based on numerical solution of the rate equations and evaluating the steady state value of the emitted power, which is then used in the relationships among the total slope efficiency, differential quantum efficiency, threshold current, and emitted power. The numerical calculations indicated that power in the range of 100s-mW is predicted by designing the laser to have an anti-reflecting front facet, high-reflecting back facet, and short cavity with low material loss and high confinement of the lasing field. Therefore, the outcome of this study is to offer a guide for designing a high-power laser diode for use in PDT.

Abnormal magnetic field topology in the beam-plasma instability driven by ion dynamics

We report on abnormal topological structures in the particles and electromagnetic field distributions induced by current filamentation instability, with emphasis on the effects of plasma ions. In the plasma filament (PF) situation, the transverse magnetic field reaches its maximum at the edge of the plasma filaments, in contrast to the case of beam filament (BF, i.e., the magnetic field reaches the maximum at the edge of the beam filaments). An analytical model is proposed to estimate the response time of the beam electrons and plasma ions, which is essential to determine the criterion of PF occurrence. With increase in beam energy and density, and decrease in plasma ion mass, the transition from BF to PF can be observed. The results are also confirmed by detailed electromagnetic particle-in-cell simulations. Moreover, the influence of PF on the synchrotron photon emission power is also discussed.

Analysis of "green methanol" production from carbon dioxide acquired from negative emission power plants using CFD approach for catalytic reactor

Analysis of "green methanol" production from carbon dioxide acquired from negative emission power plants using CFD approach for catalytic reactor

Lithographically defined cavities with high Quality and Purcell factors

Abstract We introduce and analyze a lithographically defined cavity (Li-cavity) incorporating a buried mesa defect in a planar vertical structure, which induces transverse photonic confinement while enabling compatibility with electrical injection. We systematically investigate the influence of key cavity parameters on optical behavior and fundamental properties using a comprehensive three-dimensional optical model. Our analysis reveals that the Li-cavity exhibits low optical scattering, resulting in high Q and Purcell factors, even at sub-wavelength dimensions. Furthermore, the Li-cavity supports single-mode operation within a broader aperture size range compared to conventional cavity designs, promising enhanced optical power of single-mode emission. Adequately designed structures demonstrate superior Q and Purcell factors at wavelength scale sizes,- outperforming conventional micropillar cavities. These improved properties and customizable device characteristics stem from a simple fabrication process that precisely controls the cavity size, shape, and optical mode. Superior characteristics, along with its adaptability to diverse materials, wavelengths, and photonic integration platforms, promise a broad range of applications and potential adaptation of this design to diverse photonic devices.

Radio frequency interference from radio navigation satellite systems: simulations and comparison to MeerKAT single-dish data

ABSTRACT Radio frequency interference (RFI) is emitted from various sources, terrestrial or orbital, and creates a nuisance for ground-based 21-cm experiments. In particular, single-dish observations will be highly susceptible to RFI due to their wide primary beam and sensitivity. This work aimed to simulate the contamination effects from the Radio Navigational Satellite System (RNSS) within the 1100–1350 (MHz) frequency band. The simulation can be divided into two parts: (i) satellite positioning, emission power, and the beam response on the telescope, and (ii) calibration of the satellite signals to data to improve the original model. We utilize previously observed single-dish L-band data from the Meer-Karoo Array Telescope (MeerKAT), which requires special calibration to account for regions contaminated by satellite-based RFI. We find that we can recreate the satellite contamination with high accuracy around its peak frequencies provided the satellite is not too close to the telescope’s pointing direction. The simulation can predict satellite movements and signals for past and future observations, aiding in RFI avoidance and testing novel cleaning methods. The predicted signal sits below the noise in the target cosmology window in the L band (970–1015 MHz) making it difficult to confirm any out-of-band emission from satellites. However, in our simulations, this contamination still overwhelmed the 21-cm auto-power spectrum. Nevertheless, it is possible to detect the signal in cross-correlations after mild foreground cleaning. Whether such out of band contamination does exist will require further characterization of the satellite signals far away from their peak frequencies.

In-Situ n-Type Doped Carrier-Injection Layers in GeSn Direct Bandgap LEDs for Methane Sensing

GeSn-based group-IV alloys are attracting great attention in the Si photonics community, as they are considered to be compatible with Complementary Metal Oxide Semiconductor (CMOS) technology. Alloying germanium with more than 8% of tin (Sn) results in direct bandgap semiconductors, with some optical gain in devices such as lasers. Recently, room temperature optically pumped lasing was achieved thanks to high Sn content stacks. GeSn alloys can be used for near, short and mid wavelength infra-red spectral range operation, notably for gas detection. Current efforts are focused on electro-optical GeSn IR devices such as light-emitting devices (LEDs), electrically pumped lasers and photodetectors.In this paper, we evaluate the impact of various types of in situ n-type doped carrier injection layers on top of GeSn direct bandgap LEDs. More precisely, we compare the performances of GeSn:P and Ge:P –capped mid IR LEDs. Using reduced pressure chemical vapor deposition and metastable growth conditions (e.g. fast growth rates at low temperature), high crystalline quality GeSn layers were grown on 200 mm diameter Ge-buffered Si(001) wafers (Figure a). In situ n-type doped Ge layers (sample A) and GeSn layers (sample B) were used to inject carriers into direct band gap Ge0.87Sn0.13 active layers beneath (Figure b). I(V) curves (Figure c) and Electro-Luminescence spectra (Figure d) were compared for sample B (GeSn:P) and sample A (Ge:P). Very similar I(V) behaviors were observed under forward bias for both samples. However, a higher dark current was measured under reverse bias for sample B than for sample A. This could be due to a higher number of defects in the thicker capping layer of sample B (240 nm) compared to that of sample A (50 nm). However, a 2-fold increase in the EL signal was obtained for sample B than sample A (Figure d). Temperature dependence electroluminescence measurements and atom probe tomography data will be used to explain the electroluminescence behavior differences between Samples A and B.Finally, even higher Sn content LEDs were fabricated to emit light at 3.3 µm (Figure e). A direct band gap Ge0.846Sn0.154LED (Sample C) with an in situ n-type doped Ge cap was placed in a gas cell filled with diluted methane. Its emission overlapped well with the absorption of methane (Figure f). The methane detection limit of our setup was evaluated (data not shown). To further increase the emitted power of GeSn LEDs, current spreading was studied for different top contact geometries. Emission maps collected by an InSb camera at room temperature showed a definite dependence of light emission on electrical contact geometry (Figure g). Investigations are underway to further increase light extraction from LEDs and improve their performances for use in environmental sensors. Acknowledgement: This work was supported by the European Union’s Horizon 2020 LASTSTEP Project under the grant agreement ID: 101070208, the EDEN Carnot project and the CEA DRF-DRT Phare project. We gratefully acknowledge the clean room staff from LETI and IRIG for their technical support. Figure 1

(Invited) A Review of the Current Trends in Japan's Policies and Technological Developments Toward the Realization of a Hydrogen Society

The presentation outlines Japan's challenges in achieving a hydrogen-based society, taking into account current regulations, market data, and RD&D activities. The Japanese government has been actively pushing efforts to create a society based on hydrogen in order to address a number of social agendas, including energy security, climate change, etc. Japanese government completed the "Basic Hydrogen Strategy" in 2017. The original strategy was formulated with the aim of effectively developing hydrogen technology and creating a domestic hydrogen market ahead of the rest of the world. However, the government has decided to update the strategy to not only develop the domestic market but also expand into overseas markets taking into account changes in social conditions in June 2023. The strategy acts as both an action plan to achieve the goals by 2030 and future visions for carbon neutrality by 2050. The strategy provides integrated policies across ministries ranging from hydrogen production to utilization under the common goals, and it sets a goal for Japan to reduce hydrogen costs to the same level as conventional energy. In addition to the current target of expanding hydrogen consumption to about 3 million tons per year by 2030 and about 20 million tons per year by 2050, the strategy sets a new target of about 12 million tons per year by 2040. On the hydrogen supply side, as global water electrolysis capacity is expected to reach 134 GW in 2030, the introduction of Japanese products in domestic and overseas upstream markets will contribute to strengthening Japan's presence in global energy supply. The global water electrolysis capacity target of Japan-related companies is set at 15 GW by 2030. On the demand side, hydrogen's role is expected to expand in the future, as it is expected to make various contributions, including the decarbonization of heat use, the development of zero emission power sources, and the production of recycled carbon products such as synthetic fuels and e-methane. In terms of support schemes, the Japanese government plans to support hydrogen production and supply projects and the development of domestic bases as a means to achieve full-scale hydrogen deployment in the future. The government plans to provide CAPEX and OPEX support to suppliers in the form of CfD (Contract for Difference) over 15 years with the government budget for selected hydrogen projects that are expected to be sustainable in the long term. Based on this, NEDO, as one of the largest public agencies promoting national R&D projects in Japan, conducts various projects. Firstly, since 2005, NEDO has published a fuel cell technology development roadmap for industry, academia, and government to share a long-term vision and work on technology development. In recent years, in response to growing expectations for the application of fuel cells to decarbonize heavy-duty vehicles such as heavy-duty trucks, a new roadmap on fuel cells for heavy-duty vehicles has been newly established starting from 2021, and the targets to be achieved around 2030, 2035, and 2040 and the technical issues to be addressed to achieve them have been summarized. Secondly, NEDO is promoting a technology development project related to Fuel Cells for a long time. With the aim of achieving the 2030 target of the Roadmap, elementary technologies related to PEFCs and SOFCs have been developed, and results comparable to the target would be obtained. Thirdly, NEDO has been striving to resolve technical issues related to the development of hydrogen stations for HDVs, as the large-flow hydrogen filling method and large-flow hydrogen metering technology have not yet been developed. NEDO has established the Fukushima Hydrogen Refueling Technology Research Center, a research facility capable of developing and verifying technologies for large-flow hydrogen refueling and large-flow hydrogen metering, with the goal of achieving a practical hydrogen refueling time of about 10 minutes for HDVs. Fourthly, NEDO is developing various types of water electrolysers, ranging from basic R&D such as the development of low-cost catalysts and electrolyte membranes to large-scale commercial demonstrations of 100 MW-class water electrolysers. In the automotive industry, the company is also conducting social demonstrations to promote the use of hydrogen in hydrogen/ammonia boilers and hydrogen burner furnaces. Finally, in order to establish a hydrogen supply chain, NEDO has been conducting RD&D projects that will contribute to the advancement of larger, more diverse, and more efficient large-scale marine transportation equipment, such as hydrogen carriers and domestic receiving terminals, and various types of equipment related to hydrogen power generation.

Short-range azimuth measurement method based on a single-pulse laser beam expanding mechanism.

Aimed at addressing the problem of azimuth measurement of a short-range target with a pulsed laser, a new, to our knowledge, azimuth measurement method based on a single-pulse laser beam expanding mechanism is proposed based on the research of the pulse laser dynamic/static azimuth detection method. The echo power equation of single-pulse laser beam expanding short-range detection is derived theoretically. Combined with the spatial geometric distribution of the optical path and the normalized sum-difference angle measurement algorithm of the four-quadrant detector, a single-pulse laser short-range azimuth angle calculation model is established. Monte Carlo theoretical simulation and laboratory static measurement experiments are carried out. The influence mechanism of laser emission power, beam expanding reflection cone angle, and target projection size on the probability distribution of azimuth measurement is studied. The results show that with the increase of transmission power and target projection size, the half-width of azimuth measurement distribution decreases, the peak value increases, and the detection accuracy improves. With the increase of the cone angle of the reflected light, the half-width of the azimuth measurement distribution increases, the peak value decreases, and the detection accuracy decreases. As the spot is far away from the coordinate center, it will lead to an increase in the half-width of the azimuth measurement probability distribution, a decrease in the peak value, and a decrease in the detection accuracy.

An overview on plasmon-enhanced photoluminescence via metallic nanoantennas

Abstract In the realm of nanotechnology, the integration of quantum emitters with plasmonic nanostructures has emerged as an innovative pathway for applications in quantum technologies, sensing, and imaging. This research paper provides a comprehensive exploration of the photoluminescence enhancement induced by the interaction between quantum emitters and tailored nanostructure configurations. Four canonical nanoantennas (spheres, rods, disks, and crescents) are systematically investigated theoretically in three distinct configurations (single, gap, and nanoparticle-on-mirror nanoantennas), as a representative selection of the most fundamental and commonly studied structures and arrangements. A detailed analysis reveals that the rod gap nanoantenna configuration achieves the largest photoluminescence enhancement factor, of up to three orders of magnitude. The study presented here provides insights for the strategic design of plasmonic nanoantennas in the visible and near-IR spectral range, offering a roadmap for these structures to meet specific requirements in plasmon-enhanced fluorescence. Key properties such as the excitation rate, the quantum yield, the enhanced emitted power, or the directionality of the emission are thoroughly reviewed. The results of this overview contribute not only to the fundamental understanding of plasmon-enhanced emission of quantum emitters but also set the basis for the development of advanced nanophotonic devices with enhanced functionalities.

Theory of Photoluminescence by Metallic Structures.

Light emission by metals at room temperature is quenched by fast relaxation processes. Nevertheless, Mooradian reported in 1969 the observation of photoluminescence by metals pumped by a laser. While this phenomenon is currently at the heart of many promising applications, it is still poorly understood. In this work, we report a theory which reproduces quantitatively previously published experimental data of photoluminescence by metallic nanoparticles. We first provide a general formula that relates the emitted power for a frequency, direction and polarization state to a sum over all transitions involving matrix elements, electronic distribution of all bands and Green's tensors. We then consider the case of intraband recombination and derive a closed-form expression of the emitted power depending only on macroscopic quantities. This formula, which is a generalization of Kirchhoff's law, answers many of the open questions related to intraband photoluminescence.

Adaptive Static Equivalences for Active Distribution Networks With Massive Renewable Energy Integration: A Distributed Deep Reinforcement Learning Approach

Active distribution networks (ADNs) with 100% renewable energy sources (RESs) penetration are essential in the net-zeros emission power sector. As an efficient analysis tool, the equivalent model for ADNs (EMADNs) can be leveraged to expedite the lengthy analysis and preserve data privacy. Nevertheless, volatile RESs, along with their active management techniques, e.g., voltage regulation schemes (VRSs), deteriorate the fidelity of the developed EMADNs derived from historical data. This paper proposes an adaptive EMADN with tunable network scales and adaptive parameters to address the above challenges. A leaves-trimming network topological reduction algorithm is utilized to preserve the radial topology, the nodes of interest, and VRSs. Upon the derived network topology and components, a distributed Proximal Policy Optimization (DPPO)-based deep reinforcement learning agent is employed to adjust the parameters periodically to maintain the fidelity of EMADNs over time. The distributed training scheme extends the ordinary PPO to boost exploration and training efficiency by exploiting the multi-processors in a synchronous way. Case studies on the IEEE-33 bus and IEEE 123-bus ADNs with massive photovoltaic and wind generation demonstrate the superior accuracy and efficiency of the proposed agent-based EMADNs in various scenarios, especially when the production of RESs exceeds the load amount.

Numerical Simulation of an Isolated N-Heptane Pool Fire

Refineries are industrial complexes of great economic importance which are located close to major cities. A pool fire accident that can occur from an oil leak combined with wind can result in disastrous consequences for such an industry. This study investigates the characteristics of an isolated n-heptane square pool fire of 36 m2 under the influence of a cross wind. The pool fire characteristics are numerically studied using open-source Computational Fluid Dynamics (CFD) software, such as FireFoam (v4.1) and Fire Dynamic Simulator (FDS) (version 6.9.0). The turbulent flow field and the fire characteristics were simulated with the LES Method. The crucial parameters of the pool fire, such as (a) the temperature and velocity fields, (b) the flame length and height, (c) the surface emissive power, and (d) the flame tilt angles, were computed. Comparisons against experimental data for both small and large-area pool fires from the literature were made successfully. The flame tilt angle is shown to correlate very well with the reciprocal of the Richardson number, which was approximated within a multiplication constant to the Froude number. Thus, both the reciprocal Richardson number and Froude number can be used for correlating the flame tilt angle. It is shown that both of these numbers are used to correlate the tilt angle of experimental pool fires with effective diameters from a fraction of a meter to approximately 16 m, and wind speeds up to 7 m/s. The goodness of a linear fit based on the sum of the residual squares is 0.91.

Efficiency limits of concentrated solar thermophotonic converters under realistic conditions: The impact of nonradiative recombination and temperature dependence

A concentrated solar thermophotonic converter (CSTC) that efficiently harvests the entire solar spectrum under non-ideal conditions is proposed. This device includes an optical concentrator, a solar absorber, a GaAs light-emitting diode (LED) on the hot side, and an InP photovoltaic (PV) cell on the cold side. The electric power generated by the PV cell is utilized to positively bias the heated LED, resulting in a substantial increase in LED emission power. A comprehensive theoretical model is developed to accurately predict the output electrical performance and overall energy conversion efficiency of the CSTC device, especially considering the impact of the nonradiative recombination and temperature dependence. The calculated results show that when the solar concentrating factor is 30, and the LED and PV cell voltages are 0.989 V and 1.13 V, respectively, the overall peak efficiency can reach 12.8% and the corresponding output power density is 384 mW cm−2, achieving performance metrics nearly 4 orders of magnitude higher than solar thermophotovoltaics (TPV). Additionally, increasing the solar concentration ratio and decreasing the thickness of the semiconductor materials can further improve the overall output performance. This work reveals that CSTC offers several advantages over solar TPV, including more efficient conversion of narrow-spectrum electroluminescence, higher radiated power from the LED emitter, and the ability to operate at lower solar concentrations and lower costs.

Research on picosecond synchronization control between synchrotron radiation X-ray pulse and femtosecond laser pulse on SSRF

The laser-pumped X-ray detection method is a crucial tool for investigating molecular dynamics, allowing researchers to study ultrafast structural changes within materials. This method demands extremely high precision in the synchronization and delay timing between the pump pulse and the probe pulse. In this study, we explored picosecond (ps)-level clock synchronization control between synchrotron radiation X-ray pulses and femtosecond (fs) laser pulses at the BL05U (d-Line) of the Shanghai Synchrotron Radiation Facility (SSRF). Utilizing the X-ray pulses generated by the 40 ps/0.3 mA electron beam bunch from the SSRF and femtosecond laser pulses with high repetition rates and high emission power, we conducted synchronization experiments. A custom-developed picosecond time synchronization control system and a high dynamic range X-ray streak camera with picosecond time resolution were used as detectors, enabling ultra-precise time synchronization monitoring of X-ray and laser pulses. This setup achieves higher time resolution without the need for photodiodes and oscilloscopes. Using the X-ray pulses as a stationary reference frame, we adjusted the clock synchronization control system to delay the laser pulses and measured their relative timing changes with the X-ray streak camera. The experiments demonstrated a time resolution better than 10 ps, providing a foundation for achieving 60 ps time resolution in laser-pumped X-ray detection experiments at the SSRF.

Design of Vibration and Noise Reduction for Ultra-Thin Cemented Carbide Circular Saw Blades in Woodworking Based on Multi-Objective Optimization

Cemented carbide circular saw blades are widely used for wood cutting, but they often suffer from vibration and noise issues. This study presents a multi-objective optimization method that integrates ANSYS and MATLAB to optimize the design of noise reduction slots in circular saw blades. A mathematical model was developed to correlate the emitted sound power with the overall vibration intensity. A multi-objective optimization model was then formulated to map the slot shape parameters to the deformation, equivalent stress, and vibration intensity during sawing. The ABAQUS thermal–mechanical coupling analysis was used to determine the sawing force and temperature field. The NSGA-II algorithm was applied on the ANSYS–MATLAB platform to iteratively compute slot shape parameters and conduct optimization searches for a globally optimal solution. Circular saw blades were fabricated based on the optimization results, and experimental results showed a significant reduction in sawing noise by 2.4 dB to 3.0 dB on average. The noise reduction effect within the specified frequency range closely agreed with the simulation results, validating the method’s efficiency. This study provides a feasible and cost-effective solution to the multi-objective optimization design problem of noise reduction slots for circular saw blades.

Optimizing social welfare: A double-sided auction approach for low-carbon emission power systems with renewable energy certificates

Decreasing carbon emissions becomes essential for maximizing social welfare in power systems. This study investigates the market clearing strategy for maximizing participants' benefits in both economic and environmental power systems, considering renewable energy certificates (RECs). The proposed problem formulation is solved by a particle swarm optimization algorithm and applied to a modified IEEE 30-bus system. The study shows that a combined supply offer that includes supply costs, carbon emission costs (CEC), renewable energy (RE) costs, and REC pricing resulted in the greatest cost savings. This paper demonstrates the efficiency of thorough optimization approaches. In addition, a more effective model is obtained by including demand-sided bidding in the optimization framework in addition to CEC, RE costs, and REC prices, leading to higher social welfare and encouraging the adoption of sustainable energy utilization. These results emphasize the importance of incorporating various environmental and economic factors into optimization frameworks for low-carbon power systems. Implementing this comprehensive strategy promotes substantial enhancements in social welfare and the progression of sustainable energy methodologies.