Power Generation Mode Research Articles

Design, multi-aspect investigation and economic advantages of an innovative CCHP system using geothermal energy, CO2 recovery using a cryogenic process, and methanation process with zero CO2 footprint

The significance of devoting attention to environmental pollution control strategies is widely recognized as an effective means of mitigating the harmful environmental effects caused by fossil fuels in industrial and power plant sectors. Carbon dioxide (CO2) capture and recovery technologies have opened up the possibility of utilizing this pollutant gas. Hence, the current study suggests a methodology for the CO2 hydrogenation of the flue gas leaving a power plant. This approach facilitates methane generation via a methanation reactor, subsequently is utilized as fuel for a power plant. For this purpose, a cryogenic method using liquefied natural gas cold energy facilitates CO2 recovery. Moreover, the whole system utilizes geothermal energy to launch a power plant for power generation and supply the power demands of a hydrogen production unit, relying on a water electrolysis process. The hydrogen generated is employed for CO2 hydrogenation, while the oxygen produced is utilized for the combustion reaction. Heating provider units and an absorption chiller are also included in the design. The system is modeled utilizing Aspen HYSYS software. This study incorporates a sensitivity analysis alongside energy, exergy, environmental, and economic assessments. The energy and exergy efficiencies, as determined by the thermodynamic analysis, are 30.87% and 48.61%, respectively. Additionally, according to the economic study, the levelized energy cost amounts to 16.65 $/MWh, demonstrating a substantial reduction of 87.6% compared to the power generation mode. One notable merit of the suggested system lies in its zero CO2 footprint framework, showing a noteworthy supremacy when compared with previous studies.

A Fuzzy Adaptive PID Coordination Control Strategy Based on Particle Swarm Optimization for Auxiliary Power Unit

Range extender hybrid vehicles have the advantages of better dynamics and longer driving range while reducing pollution and fuel consumption. This work focuses on the control strategy of an Auxiliary Power Unit (APU) operating in power generation mode for a range-extender mixer truck. When an operating point is switched, the engine speed and generator torque of the APU will switch accordingly. In order to ensure APU fast and stable adjustment to meet the power demand of the vehicle as well as operate at the lowest fuel consumption, a fuzzy adaptive PID coordination control strategy based on particle swarm optimization (PSO) is proposed to control the APU. The optimal operating curve of APU is calculated by coupling the engine and generator first. Then, the adaptive PID algorithm is used to control the speed and torque of the APU in a dual closed loop. The PSO is used to optimize the PID control parameter. Through hardware-in-the-loop tests under different working conditions, the control strategy is verified to be effective and real-time. The results show that the proposed control strategy can coordinate the operating of engine and generator and control the APU to track target power stably and quickly under minimum fuel consumption. Compared with traditional PID control strategy, the overshoot, regulation time and steady-state error are reduced by 55.1%, 11.1% and 77.3%, respectively.

Optimal design and dispatch of phosphoric acid fuel cell hybrid system with direct heat recovery through coupled calculation and artificial intelligence-based optimization

A phosphoric acid fuel cell (PAFC) is the first-generation of modern fuel cells that can use waste heat in various ways. This study presents a PAFC hybrid system with direct heat recovery. Direct heat recovery uses PAFC cooling water as the working fluid for the steam turbine, simplifying the system and improving performance. The PAFC in this hybrid system acts as a power generator and evaporator. The hybrid system operates in power generation mode (mode_pg) and combined heat and power mode (mode_chp). The overall behavior of the hybrid system was analyzed using a coupled calculation method. Under mode_pg, the electric power and efficiency of the hybrid system were 37.0 % and 10.5 % higher, respectively, than those of a conventional system. The thermal power and CHP efficiency in mode_chp were 35.7 % and 8.8%p higher, respectively, than those of a conventional system. The optimal dispatch was obtained using an artificial intelligence-based optimization framework that considered two scenarios. As a result, the optimal demand was 25.8 % higher when the hybrid system with the optimal dispatch was used. In addition, the economic and environmental indices were 7.3 % and 6.8 % lower, respectively, than the conventional system, highlighting the feasibility and eco-friendliness of the hybrid system.

PSXII-8 Environmental cost effects of different manure treatment methods on dairy farms

Abstract The issue of manure disposal in dairy farms has long been a significant challenge afflicting the dairy farming industry, as manure poses various detrimental effects such as greenhouse gas emissions and land pollution. This remains an urgent concern for the industry to address. The traditional tank fermentation oxidation pond form of manure treatment and the new biogas power generation mode of manure treatment are currently widely employed in dairy farming enterprises. The evaluation and analysis of the environmental cost of new treatment modes should be conducted using scientific methods to determine which approach is more environmentally friendly. We selected two dairy farms with roughly the same number of dairy cows and the same management level, and the feed formula of the two dairy farms was basically consistent with the herd structure. Among them, the traditional tank fermentation manure treatment pasture, and the biogas power generation pasture. The Life Cycle Assessment (LCA) method of SimaPro software was used, and the software version was 9.0.0.48. In the life cycle assessment, we take into account the depletion of fossil energy, cement, metals, chemical products, electricity, heat, and mechanical pumps during the process of manure treatment. After accounting, the following conclusions are developed. During the whole life cycle of dairy farming, greenhouse gas emissions mainly fall into three types: methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O). CH4 accounts for 64% of the total emissions, which is mainly produced in the process of animal feeding, and a small part comes from manure treatment. CO2 accounts for 34% of the total emissions from the production of feed raw materials. The smallest proportion of transport and fossil energy consumption is N2O, which is mainly produced by manure treatment processes and accounts for 2% of total emissions. The environmental cost of the traditional tank fermentation oxidation pond is 17.6% greater than that of the new type of biogas power generation.

Construction of a photovoltaic low-voltage grid connected power regulation system based on partition control

Abstract Photovoltaic power generation is a green and renewable power generation mode and has been widely used. However, the power fluctuation of photovoltaic power generation has a significant impact on the power grid, which is very important. Based on the concept of regional control, this paper studies the photovoltaic low-voltage grid-connected power regulation system. The photovoltaic power generation system is divided into multiple regions, and each region is provided with an independent control unit and regulation strategy under the control of multiple control areas. The regional factors are combined, such as light intensity and power voltage. In the case of the city, the impact of the area on the whole is dynamically adjusted to achieve the overall balance of power and the stability of the system. The experimental results show that the photovoltaic low-voltage grid-connected power regulation system constructed by regional control performs well and has a high degree of stability. According to the change in light intensity and load demand, the system can achieve accurate control and distribution of photovoltaic power generation.

Recent Advances in Flexible Self-Powered Sensors in Piezoelectric, Triboelectric, and Pyroelectric Fields

The rise of the Internet of things has catalyzed extensive research in the realm of flexible wearable sensors. In comparison with conventional sensor power supply methods that are reliant on external sources, self-powered sensors offer notable advantages in wearable comfort, device structure, and functional expansion. The energy-harvesting modes dominated by piezoelectric nanogenerators (PENGs), triboelectric nanogenerators (TENGs), and pyroelectric nanogenerators (PyENGs) create more possibilities for flexible self-powered sensors. This paper meticulously examines the progress in flexible self-powered devices harnessing TENG, PENG, and PyENG technologies and highlights the evolution of these sensors concerning the material selection, pioneering manufacturing techniques, and device architecture. It also focuses on the research progress of sensors with composite power generation modes. By amalgamating pivotal discoveries and emerging trends, this review not only furnishes a comprehensive portrayal of the present landscape but also accentuates avenues for future research and the application of flexible self-powered sensor technology.

Effect of Continuous Electrolysis on the Power Generation Performance of a Microtubular Oxide Fuel Cell Using Intermediate Ring‐Shaped Collector

An anode‐support microtubular solid oxide fuel cell (MTSOFC) using an intermediate ring‐shaped electrode collector is simulated using COMSOL Multiphysics software to investigate current density distribution and mass transfer in both power generation and electrolysis modes. The cell is converted to power generation mode during continuous electrolysis, and the electrochemical performance of MTSOFC is tested to study the effect of electrolysis on the power generation performance. The power density output of the MTSOFC decreases from 250 to 150 mW cm−2 after only 40 h of continuous electrolysis. The microstructural changes in different regions during operation are observed through posttest analysis conducted on the fuel inlet, electrochemical reaction concentration region, and fuel outlet of the microtubular cell. The local agglomeration of nickel occurs in the concentrated region of the electrochemical reaction, while the coarsening of nickel oxidation mainly takes place at the fuel inlet and outlet.

Thermodynamic performances of a novel multi-mode solar-thermal-assisted liquid carbon dioxide energy storage system

Liquid carbon dioxide energy storage is an efficient and environmentally friendly emerging technology with significant potential for integration with renewable energy sources. However, the heat recovery and utilization during compression and expansion are not implemented well. This paper proposes a multi-mode solar-thermal-assisted liquid carbon dioxide energy storage system integrated with the organic Rankine cycle. Three operation modes of normal operation mode, heat distribution operation mode, and solar thermal power generation mode are developed to achieve flexible control of the system under both normal and extreme environmental conditions. Thermodynamic performance analysis of the system under normal operation mode shows that compared to traditional system with energy storage density of 8.55 kWh/m3, the overall efficiency of the coupled system increases from 49.5 % to 62.1 %, with an energy storage density reaching 21.74 kWh/m3. The impact of key parameters such as temperature and pressure on system performance is discussed. Furthermore, an analysis of the heat flow distribution ratio under the heat distribution mode was conducted, indicating optimal system performance at a heat flow ratio of 6:4. Comparative analysis of the system performance under various operating conditions for the three operation modes was performed, elucidating the operational strategies of each mode.

A Novel Automatic Generation Control Method Based on the Large-Scale Electric Vehicles and Wind Power Integration Into the Grid.

In order to solve the problem of frequency instability of power system due to strong random disturbance caused by large-scale electric vehicles and wind power grid connection, an improved reinforcement learning algorithm, namely, optimistic initialized double Q, is proposed in this article from the perspective of automatic generation control. The proposed algorithm uses the optimistic initialization principle to expand the agent action exploration space, so as to prevent Q-learning from falling into local optimum by greedy strategy; meanwhile, it integrates double Q-learning to solve the problem of overestimation of action value in traditional reinforcement learning based on Q-learning. In the algorithm, the hyperparameter ατ is introduced to improve the learning efficiency, and the reward bτ based on exploration times is introduced to increase the Q value estimation to drive the exploration of the algorithm, so as to obtain the optimal solution. By simulating the two-area load frequency control model integrated with large-scale electric vehicles and the four-area interconnected power grid model integrated with large-scale wind power generation, it is verified that the proposed algorithm can obtain the global optimal solution, thus effectively solvinng the frequency instability caused by strong random disturbance in the grid-connected mode of large-scale wind power generation, and compared with many reinforcement learning algorithms, the proposed algorithm has better control performance.

Thermodynamic feasibility evaluation of an innovative multigeneration system using biogas dry reforming integrated with a CCHP-desalination process

This work investigates a new method for developing systems that use a creative heat integration process that provides heating, cooling, fresh water and power. Specifically, the suggested framework operates by syngas obtained through the dry reforming process of biogas. Environmental considerations and decrease in thermodynamic irreversibility are main features of suggested system. The energy, exergy-related, environmental, and thermoeconomic properties of the suggested system are evaluated after it has been simulated using the Aspen HYSYS software. Results indicate 99,775.5 kW of net power, 10,880 kW of cooling power, and 141,800 kW of heating power. Also, the multigeneration scenario exhibits energy and exergy efficiencies of 58.06 % and 36.0 %, respectively. From the exergetic point of view, total exergy destruction rate is found at 493479 kW. The results of the environmental assessment show that the structure emits 0.27 kg of carbon dioxide per kWh while it is operating in the multigeneration mode. This value is contrasted with a reduction of 34.15 % in heat generation and a decrease of 69.11 % in power generation modes. According to the economic study, when the system functions under multigeneration conditions, the total equipment cost and the levelized cost of products are obtained at 59,536,233 $ and 0.029 $/kWh.

Design, modeling and performance analysis of a deformable double-float wave energy converter for AUVs

Autonomous underwater vehicles (AUVs) are one of the most important means of ocean exploration. However, the restricted energy supply poses a significant challenge to the advancement and practical application of AUVs. Based on the structural characteristics, this paper proposes a novel AUV, which integrates a deformable double-float wave energy converter (WEC), called DFWEC-AUV. The DFWEC empowers the AUV to capture wave energy to supply itself by oscillating double-float form in power generation mode. The structural design, focusing on the deformable float (DeF) and the onboard damping plate (DP), and the working principle, including mode switching and energy capture, are firstly introduced. Then, a double-float dynamic model of DFWEC-AUV oscillating in regular waves is established to reveal the energy capture mechanism in both frequency-domain and time-domain. Finally, the influence of the presence of DP, structural parameters (diameter of DP and deployment angle of DeF) and power take-off (PTO) system damping coefficient on the dynamic response characteristics and energy capture performance is analyzed. In addition, to verify the effectiveness of the performance analysis, a comparative simulation of parameter optimization is carried out under actual wave excitation. The results show that the addition of onboard DP is able to effectively enhance the energy capture performance of DFWEC-AUV, as well as increase the energy capture bandwidth. Moreover, the larger the diameter of the DP is, the greater the performance improvement of DFWEC-AUV is. Conversely, increasing the deployment angle of the DeF does not necessarily lead to better power capture performance. Additionally, it is observed that waves of a particular period are consistently associated with an optimal PTO damping coefficient, which leads to superior power capture performance. In comparative simulation, the energy capture performance of DFWEC-AUV after parameter optimization is increased by 4.7 times.

Study on life-cycle carbon emission factors of electricity in China

Abstract As China’s largest carbon-emitting sector, the power sector has been the subject of extensive attention from relevant scholars and organizations. As China’s most widely used secondary energy source, greenhouse gas (GHG) emissions from electricity often account for a significant share of total corporate or product carbon emissions. In this study, we calculated the life-cycle carbon emission factors of China’s electric power based on the ISO 14067 and PAS 2050 standards and the current development of China’s power generation industry in recent years. This study makes a preliminary prediction of China’s electricity life-cycle carbon emission factors in 2025 and 2030. The results show that the life-cycle carbon emission factors of China’s thermal, solar, hydro, wind, and nuclear power generation are 0.9976 ${\textsf{tCO}}_2\textsf{e}/\textsf{MWh}$, 0.0142 ${\textsf{tCO}}_2\textsf{e}/\textsf{MWh}$, 0.0188 ${\textsf{tCO}}_2\textsf{e}/\textsf{MWh}$, 0.0100 ${\textsf{tCO}}_2\textsf{e}/\textsf{MWh}$, and 0.0122 ${\textsf{tCO}}_2\textsf{e}/\textsf{MWh}$, respectively, and ultimately obtain the life-cycle carbon emission factors for China’s comprehensive electricity footprint is 0.6835 ${\textsf{tCO}}_2\textsf{e}/\textsf{MWh}$. Thermal power generation has a much larger carbon emission factors than other power generation modes, tens to nearly a hundred times larger than other power generation modes and contributes more than 90% of the carbon emission factors of China’s comprehensive electricity footprint; among the remaining modes of power generation, wind power generation have relatively small carbon emission factors. The predicted carbon emission factors for China’s electric power in 2025 and 2030 are 0.6144 ${\textsf{tCO}}_2\textsf{e}/\textsf{MWh}$ and 0.5154 ${\textsf{tCO}}_2\textsf{e}/\textsf{MWh}$, respectively. This study improves the accuracy of accounting for product carbon emission factors and provides data references to peer organizations, enterprises, and the government to carry out product carbon emission factors accounting.

Revealing cradle-to-gate CO2 emissions for steel product producing by different technological pathways based on material flow analysis

Revealing the life-cycle CO2 emissions of steel products is of great significance for mitigating CO2 emissions. However, previous studies did not conduct comparative analysis for steel products produced by different technological pathways, resulting in considerable confusion in the setting of carbon reduction pathways. By using the material flow analysis method, this study revealed the life-cycle CO2 emissions associated with various technological pathways. The results shows that life-cycle CO2 emissions per metric ton of steel are: 3620.78 kg for shaft furnace (SF)-electric furnace (EF) routes, 2598.54 kg for blast furnace (BF)- basic oxygen furnace (BOF), 1868.16 kg for Scrap & Molten Iron-EF and 1330.22 kg for scrap-EF. The energy structure (e.g. coal blending mode, power generation mode) material structure (e.g. iron ore matching mode, matching mode of scrap and molten iron), and transportation mode have a significant impact on CO2 emissions. Undoubtedly, low-carbon or zero-carbon electricity is more effective in reducing CO2 emissions.

Techno-economic evaluation of CO2 capture and storage retrofit in decarbonizing different thermal power plants: A case study in China

Given that thermal power plants are the dominant mode of power generation in China, decarbonization from thermal power plants is significant to protect the global climate from further warming. CO2 capture and storage (CCS) is one of the most promising approaches for mitigating CO2 emissions; therefore, studies evaluating the effect of CCS retrofit on thermal power plants are urgently required. This study selected coal-fired power plant (CFPP) and natural gas combined cycle power plant (NGCC) as the representative technologies for thermal power plants, and proposed system models for their integrations with CCS. A comprehensive evaluation system was established using different metrics such as specific CO2 emission (CO2 emission per kWh), net electric efficiency, levelized cost of electricity (LCOE), and cost of avoiding CO2 emission (COAE). The detailed effects of fuel price fluctuations, technological advances, and different technology combinations on key metrics were analyzed, in order to propose policy recommendations for the decarbonization of China's thermal power plants using CCS technology. The following results were obtained: (1) The use of CCS to reduce CO2 emissions from thermal power plants will lead to a significant increase in LCOE. Each 100 g/kWh reduction in specific CO2 emission will result in 11 %–14.5 % increase in LCOE for CFPP + CCS, and 9.5 %–13.5 % increase for NGCC + CCS. (2) Technological advances toward reducing specific heat consumption for CO2 capture should be strongly promoted to reduce LCOE. Each 0.4 GJ/t reduction in specific heat consumption will result in an approximately 0.066 CNY/kWh reduction in LCOE for CFPP. (3) Both CFPP + CCS and NGCC + CCS exhibit potential for decreasing COAE below 600 CNY/t, although the technologies to meet this threshold are not currently realistic at higher fuel prices.

Sustainable development and multi-aspect analysis of a novel polygeneration system using biogas upgrading and LNG regasification processes, producing power, heating, fresh water and liquid CO2

Considering biogas upgrading to feed energy systems and its significant impact on the biogas energy density, a novel polygeneration system utilizing biogas from landfill waste is designed, simulated, and studied in this paper. The primary innovation is to design a biogas upgrading technology for a novel multigeneration system using a thermal matching approach. This system is capable of simultaneously generating power, providing heating, producing fresh water, and extracting liquid carbon dioxide in an environmentally sustainable manner, thus resulting in reduced environmental impacts. For this purpose, a cryogenic separation system based on liquefied natural gas cold utilization is employed for biogas upgrading and biomethane separation. The proposed process also consists of a Kalina cycle, an organic Rankine cycle, a multi-effect desalination technology, and a heating provider unit. This system is simulated within the Aspen HYSYS software and is undergone a comprehensive analysis from the viewpoints of energy, exergy, environmental, and economic. The results indicate that the proposed structure achieves energy and exergy efficiencies of 80.91% and 43.76%, respectively. Environmental assessment reveals that the emission intensity is 90.43% lower in polygeneration mode compared to power generation mode, and the system’s net emission is equal to 23,041.51 kg/h. The economic evaluation demonstrates that the total unit cost of products is minimized in polygeneration operation (1.84 $/GJ), while it is highest in power generation condition (7.564 $/GJ). The investigations show that when a system is modified from a single generation to polygeneration, all thermodynamic, economic, and environmental indicators face an improvement.

Exploration of sustainable driving path of rural domestic wastewater treatment-from the perspective of life cycle assessment

Most rural wastewater treatment facilities require electricity to maintain operation. Traditional fossil energy consumption increases the environmental load and greenhouse gas emissions. Wind-solar power generation is widely recognized as a renewable energy technology. However, conventional wind-solar power systems need batteries to store energy, which can lead to secondary pollution. Additionally, the alternating aerobic and anaerobic process were crucial for nitrogen and phosphorus removal, and some distributed wastewater treatment systems do not require continuity operation. Therefore, this study reports on a wind–solar power generation mode without batteries (Mode-II) to control and drive a bioecological rural domestic wastewater treatment system with a scale of 0.5 m³/day. By logic control, the inspired combination of power generation capacity and treatment process requirements was realized. The effluent CODcr, NH4+-N, and TN concentrations were 14.63 ± 7.02, 1.39 ± 1.63, and 8.65 ± 4.02 mg/L, with removal rates of 89.01 ± 4.15%, 88.58 ± 2.28%, 75.47 ± 8.84%, respectively. From the perspective of environmental load and carbon emissions, based on life cycle assessment theory, this novel approach was compared with the traditional wind–solar power generation driven mode with battery storage (Mode-I) and mains power driven mode (Mode-III). The environmental load and carbon emissions of Mode-II were 1.08 kPt and 2836 kg CO2 eq by end-of-life (25 years), the lowest of the three modes. Compared with the mains power drive mode, the environmental load and carbon emissions of Mode-II can be repayment until years 6 and 2. The supercapacitors and solar panels were the main source of environmental load and carbon emissions for Mode-II. Overall, Mode-II was found to be the most environmentally friendly mode all over the China, which is expected to be promoted in the field of rural wastewater treatment.

(Invited) Development of Thin-Film Solid Oxide Cells for Power Generation and Hydrogen Production

Thin-film solid oxide cells (TF-SOCs) fabricated by sputtering have been developed for power generation and hydrogen production applications. TF-SOCs have been considered for cell configuration in this development because of the potential for efficient operation at reduced temperatures (≤700oC). Reduced temperature operation allows a wider choice of cell and ancillary materials, minimizes elemental migration/interaction, and reduces thermal stresses, thus improving cell reliability and durability. Sputtering has been considered for fabrication of TF-SOCs because the technique can create dense or porous films as required for the cell components. In addition, a fabrication process based on sputtering is readily scaled to large cell sizes and large volume production. All-sputtered TF-SOC cells have been shown to exhibit exceptionally high performance in both power generation and electrolysis modes, for example, a peak power density of 2.7W/cm2 (fuel cell mode) and a current density of 2.6A/cm2 at 1.3V (electrolysis mode) at 650oC with 50%H2-50%H2O. TF-SOC cells as large as 15 cm x 15 cm size have been fabricated by sputtering. This paper discusses the development of the sputtering process for making TF-SOCs and evaluation of cell performance characteristics in power generation and hydrogen production operating modes.

A pitched roof-like hybrid piezo/triboelectric nanogenerator with reliable supply capability for building a self-powered industrial monitoring system

As a result of increasingly stringent power supply requirements and diverse application scenarios, the development of hybrid nanogenerators that can combine multiple power generation modes has gradually become a hot research topic. In this work, the PR-HNG, a piezo/triboelectric hybrid nanogenerator based on a pitched roof structure, is proposed and is used efficiently to perform discrete mechanical energy harvesting. Using the flexible connection of its separated roof-like trigger mechanism, the PR-HNG operates through inertia under vibration conditions and achieves a satisfactory working state with very low mechanical loss. At 10 Hz, the instantaneous open-circuit voltage VOC and short-circuit current ISC of the PR-HNG can reach 800 V and 9.6 mA (1.60 A/m2), respectively, and no obvious attenuation occurs during high-intensity and long-term operation. After connection to a load via a rectifier bridge, the PR-HNG has a maximum power output of 575 μW/cm2 and can charge a 2 mF capacitor up to more than 2.5 V in only 30 s; these two performance parameters are better than the reported values for other similar types of HNG. In practical applications, this PR-HNG can easily drive more than 1440 commercial light-emitting diodes and can drive small electronic devices in real time. Therefore, the PR-HNG has been demonstrated to provide a credible and promising solution for fabrication of self-powered monitoring systems for use in industrial environments.

An environmentally friendly process design of an innovative CCHP-desalination system combined with a geothermal cycle and LNG regasification unit

The importance of geothermal energy in the urban energy supply is derived from its renewable nature, power generation capabilities, and potential for lowering air pollutants. The utilization of combined arrangements utilizing geothermal energy represents an outstanding alternative option. Hence, present investigation proposes a novel and environmentally friendly multigeneration framework for a geothermal energy resource, incorporating combined cooling, heating, power (CCHP), and desalination systems. Furthermore, the entire system includes a liquefied natural gas regasification unit. The present study simulates the system utilizing the Aspen HYSYS software, wherein a comprehensive analysis is conducted on considerations of energy, exergy, economics, and environment. The study also includes a comprehensive parametric study. According to the study's findings, the system can generate 863.8 kg/s of hot water, 22.01 kg/s of chilled water, and 59.67 kg/s of fresh water, along with a power output potential of 120,185 kW. Besides, this process yields energy, thermal, and electrical efficiencies at 25.08 %, 10.25 %, and 14.12 %, correspondingly. The exergy analysis findings demonstrate that the system's efficiency for power generation and multigeneration modes is 45.17 % and 47.79 %, respectively. From the economic aspect, the total unit cost of products is found at 2.91 $/GJ and the cost of energy at 0.0962 $/kWh.

Benefit distribution of integrated regional energy systems under carbon trading mechanisms based on improved Shapley value methods

Carbon trading mechanisms and the development of integrated energy systems are important ways to realize the “carbon peaking and carbon neutrality” goal, and the problem of benefit distribution is of paramount importance to achieving the goal. The article innovatively takes the supply side of the provincial integrated energy system as the entry point, considers the economic value of carbon, and focuses on the rational allocation of each subject obtained by comparing different methods. The paper mainly uses the Shapley value of the cooperative game and the kernel method to establish the initial allocation to the main actors, and subsequently, it considers the introduction of the risk level, resource input, environmental pollution, technological innovation, and profit of the main actors to modify the result of the benefit allocation. This paper takes the power generation data of the Xinjiang region as an example, and the results show that 1) thermal power still has the most weight among all power generation modes and obtains 522.83, 503.48, and 406.30 billion yuan under the initial, nucleolus, and modified allocation methods, respectively, and receives the most revenue. 2) Considering that the multi-factor allocation method pays more attention to the allocation of fairness, compared with the initial allocation, thermal power gains decreased by 22.29%, while wind and solar power gains were improved by 17.87% and 60.90%, respectively. The result could be a stronger push for the development and transformation of power energy. 3) The feasibility of this game as a convex game should be verified, the improvement method should be demonstrated through examples, and the results should be compared with reality. Finally, policy recommendations are proposed, which will be useful for realizing the “carbon peaking and carbon neutrality” goal and the synergistic development of integrated energy systems.