Hybrid Power Generation System Research Articles

Enhancing Ethiopian power distribution with novel hybrid renewable energy systems for sustainable reliability and cost efficiency

Economic development relies on access to electrical energy, which is crucial for society’s growth. However, power shortages are challenging due to non-renewable energy depletion, unregulated use, and a lack of new energy sources. Ethiopia’s Debre Markos distribution network experiences over 800 h of power outages annually, causing financial losses and resource waste on diesel generators (DGs) for backup use. To tackle these concerns, the present study suggests a hybrid power generation system, which combines solar and biogas resources, and integrates Superconducting Magnetic Energy Storage (SMES) and Pumped Hydro Energy Storage (PHES) technologies into the system. The study also thoroughly analyzes the current and anticipated demand connected to the distribution network using a backward/forward sweep load flow analysis method. The results indicate that the total power loss has reached its absolute maximum, and the voltage profiles of the networks have dropped below the minimal numerical values recommended by the Institute of Electrical and Electronics Engineers (IEEE) standards (i.e., 0.95–1.025 p.u.). After reviewing the current distribution network’s operation, additional steps were taken to improve its effectiveness, using metaheuristic optimization techniques to account for various objective functions and constraints. In the results section, it is demonstrated that the whale optimization algorithm (WOA) outperforms other metaheuristic optimization techniques across three important objective functions: financial, reliability, and greenhouse gas (GHG) emissions. This comparison is based on the capability of the natural selection whale optimization algorithm (NSWOA) to achieve the best possible values for four significant metrics: Cost of Energy (COE), Net Present Cost (NPC), Loss of Power Supply Probability (LPSP), and GHG Emissions. The NSWOA achieved optimal values for these metrics, namely 0.0812 €/kWh, 3.0017 × 106 €, 0.00875, and 7.3679 × 106 kg reduced, respectively. This is attributable to their thorough economic, reliability, and environmental evaluation. Finally, the forward/backward sweep load flow analysis employed during the proposed system’s integration significantly reduced the impact of new energy resources on the distribution network. This was evident in the reduction of total power losses from 470.78 to 18.54 kW and voltage deviation from 6.95 to 0.35 p.u., as well as the voltage profile of the distribution system being swung between 1 and 1.0234 p.u., which now comply with the standards set by the IEEE. Besides, a comparison of the cost and GHG emission efficiency of the proposed hybrid system with existing (grid + DGs) and alternative (only DGs) scenarios was done. The findings showed that, among the scenarios examined, the proposed system is the most economical and produces the least amount of GHG emissions.

Design and Assessment of Integrated Wind-Biomass Hybrid Renewable Energy System and Blackout Hazards in the Power System Using Arelu-Ann

Introduction:: A hybrid power generating system, which is mostly meant for its reliable performance to meet the current energy demand, is a renowned renewable energy. To overcome issues like the inability to handle the blackout problem, avoidance of renewable factors, and frequency instability of the power grid, a Hybrid Power Generation System (HPGS) utilizing biomass and wind is proposed in this paper. Method:: With the combination of controllers as well as inverters and blackout controllers, this work aims to maximize power with minimum cost. The DC-DC converter controlled by Renyi’s Quadratic Entropy-Based Neuro Proportional-Integral-Derivative (RQEB-NPID) and the inverter under the control of the Volt/VAR controller are utilized as a major contribution. Result:: This, in turn reduces the frequency instability problem. Moreover, the renewable factor is considered for reducing the cost of energy using the Pythagorean Fuzzy-based Equilibrium Optimizer (PF-EO)-based inverter. Next, by utilizing the Attention-based Rectified Linear Unitactivated Artificial Neural Network (ARELU-ANN) controller, the blackout problem that interrupts the power supply to the load is eliminated with the highest accuracy of 7.69%. Conclusion:: Also, the proposed ARELU-ANN attained the highest specificity and precision of 9.80% and 6.17 %, respectively. Lastly, a comparative analysis is performed, which demonstrates that the proposed solution is optimum for supplying maximum energy at the least cost.

A Novel Assimilate Power Flow Control Technique Based Multiport Converter For Hybrid Power Generation System With Grid-Connected Application

Clean, sufficient energy from renewable resources such as the Sun, Wind, and other natural resources is provided via renewable energy technology. Electricity failure also increases with the electricity demand. Thus, consistent loads may be provided by renewable energy sources. A multiport conversion architecture has been developed for hybrid energy sources such as wind and solar sources. A practical method of producing power is to combine wind and sun resources. This study presents a coordinated control method and dynamic modelling tools for an integrated microgrid scheme that combines fuel cell technology, backup diesel generation, photovoltaic systems, battery generators, and assimilated power flow control (APFC). A unique vibrant filter compensator based on dynamics is employed to achieve a fully balanced integrated system. This ensures minimal inrush current, load excursions, and regulated DC bus voltage while optimizing the utilization of the diesel generator set. Our primary area is to achieve the most efficient operation of the integrated renewable energy sources, including PV panels and fuel cells. Photovoltaic Power System with Backup Fuel Cell Source for Hybrid Power System: The control unit in this hybrid system manages the power from both the fuel and the PV cells. When the control power is activated, it triggers the fuel cell and photovoltaic cell powers. The control device first checks if the photovoltaic cell is generating power. If the PV energy is sufficient to meet the load requirements, the control power links the photovoltaic energy to the load. In cases where the load cannot be fulfilled by photovoltaic power alone, the control system disconnects the photovoltaic cell power and switches to the backup fuel cell power. Afterwards, when the power generated from the photovoltaic cells reaches a sufficient level, the control system promptly switches from the fuel cell to the photovoltaic cells. The fuel cell is integrated with a photovoltaic system and a DC-DC boost conversion in conjunction with the resistive workload. The controller outputs have been fine-tuned, and PWM is generated and subsequently supplied to the converter's switching. The converter's design considers conversion efficiency, power sharing, system stability, and responsiveness in various operational scenarios to ensure successful operation. The effectiveness of the simulated output APFC techniques is evaluated for each parameter, such as steady-state error, THD, and the system's efficiency.

Optimization of the performance and operation of a photovoltaic-thermoelectric power supply system for bridge safety monitoring microsystems

In the long-term unattended condition, the continuous operation of bridge safety monitoring micro-system (BSMMS) in mountain areas has the issue of insufficient energy supply. Therefore, a photovoltaic-thermoelectric hybrid power generation system (PV-TEG) is proposed to power the temperature, wind speed, and tilt sensors of BSMMS. The power generation performance and characteristics of PV and TEG are experimentally investigated to find the operation mode to match the bridge monitoring. In addition, the intermittent operation mode of BSMMS is optimized to achieve longer running times. The experimental results show that the output voltage and power generation of the PV-TEG can meet the energy consumption demands of all sensors. TEG power generation is linear with bridge temperature, which can trigger TEG to support the temperature sensor operation. The energy storage battery supports the BSMMS to run for 8.99 days in the mode of running 5 min every 5-min intervals. Optimizing the operation time and interval of the BSMMS to run once in half an hour, it can run continuously for up to 17.97–22.46 days. This work provides a reference for the design of an unattended self-powered energy supply system for a multi-parameter integrated bridge safety monitoring system.

FABRICATION OF HYBRID POWER GENERATION BY USING SOLAR, WIND AND WAVE ENERGY

The escalating demand for electricity in India necessitates a shift towards renewable energy sources. This paper proposes a hybrid power generation system that combines solar, wind, and wave energy technologies to meet this demand efficiently. By harnessing these renewable sources, the system eliminates fuel costs and emissions associated with conventional power generation. Situated near the sea, the system maximizes solar energy utilization and taps into strong winds for wind power generation. Moreover, it leverages wave energy for additional power generation. The hybrid system offers a practical solution to address the challenge of electrifying non-grid rural areas, especially where conventional energy solutions are economically unviable or environmentally harmful. Hybrid systems emerge as a promising approach to deliver reliable and sustainable power solutions to remote communities, contributing to rural development agendas and mitigating the adverse impacts of conventional energy sources. Key Words: Renewable energy source, hybrid, electricity, conventional energy, environment, power generation.

Study on combined optimization technology of wind-solar-storage hybrid power generation based on electricity hydrogen complementarity

The wind-solar-storage hybrid power generation system is mainly composed of wind turbines, solar cell arrays, electrolytic cells, fuel cells, battery packs, intelligent controllers, multi-functional inverters, cables, supports and auxiliary parts to supply power to the load. The system utilizes wind and solar energy for power generation without an external power supply, and an energy storage module composed of an electrolytic cell, fuel cell, and battery is used to assist the power supply. In this paper, a fuel cell model, a wind power generation model and a solar power generation model are respectively constructed, and a small experimental platform was built to validate the model. The pulse width modulation (PWM) control method, combined with the auxiliary regulation of the system by the battery, reduces the impact of the volatility of wind power generation on the electrolytic cell and fuel cell, and makes the load current more stable under different working conditions. The simulation results show that the system has good compression resistance, fast response and good stability.

An Efficient Off-grid Express Cabinet Based on Wind-solar Hybrid Power Generation System

In order to effectively solve the shortcomings of traditional express cabinets such as limited service places and seasonal power supply obstacles, this paper studies an off-grid express cabinet using wind-solar complementary principle, which is mainly composed of near-ground and low-speed wind power generation device, solar photovoltaic battery pack, controller, battery pack and DC load. The double-axis tracking solar panels or fixed photovoltaic panels can be used for different regions. At the same time, it can be combined with a near-ground and low-speed wind power generation device to provide a stable power supply for the express cabinets. By programming the control, the power generated by wind-solar hybrid power generation is provided to the load as a priority. The remaining electric energy is stored in the battery pack. The system effectively overcomes the disadvantages of limited-service locations and unstable power supply caused by seasonal barriers in traditional express cabinets. It has the advantages of energy-saving, environmental protection, short payback period, and wide range of supply.

The Temporal and Spatial Characteristics of Wind–Photovoltaic–Hydro Hybrid Power Output Based on a Cloud Model and Copula Function

In a high proportion of wind–photovoltaic–hydro hybrid power systems, fluctuation and dispersion make it difficult to accurately quantify the output characteristics. Therefore, in this study, a cloud model and copula correlation coefficient matrix were constructed for a hybrid power generation system based on the output data. Multiple backward cloud transformation based on the sampling-with-replacement method was proposed to calculate the improved entropy and hyperentropy to analyze the fluctuation range and dispersion degree quantitatively. A similarity index was proposed to evaluate the similarity between wind power, PV power, and hydropower. A suitable copula function was selected, and the Kendall and Spearman coefficients show the correlation relationships of the hybrid systems. The temporal and spatial characteristics of the hybrid systems were analyzed based on the two models. A typical example in Qinghai proved the effectiveness and applicability of the method. The results show that the correlation between photovoltaic power and hydropower is better and that, in summer, hydropower can be used to adjust the output of renewable energy.

Distributed ADMM power optimal control for standalone hybrid generation systems

With the rapid development and increased demand for renewable energy sources, standalone hybrid generation systems have become an essential energy solution. Power optimization control is thus critical to achieving the efficient operation and stability of this system. The distributed ADMM (alternating direction method of multipliers)-based approach has the full potential to deal with the power optimization problem of standalone hybrid generation systems. This study uses an optimization algorithm with a Gaussian penalty function, ADMM-ρ, to alternately optimize the power reference values of wind, light, and battery-containing power generation subsystems. The local controller regulates the output power of the converter according to this reference value. This ensures that the wind and photovoltaic power generation subsystem work in load-tracking or maximum power-tracking modes so that the optimal operation of hybrid power generation meets the balance of supply and demand while prolonging the service life of the batteries. Simulation experiments show that the distributed ADMM algorithm can reliably address the power optimization challenge of hybrid power generation systems.

Optimal scheduling of the CSP–PV–wind hybrid power generation system considering demand response

In order to solve the problem of there being a high proportion of wind and photovoltaic (PV) abandonment in the new energy system, an optimal dispatching method of concentrated solar power (CSP)–PV–wind hybrid power generation considering demand response is proposed. First, on the basis of the combination of wind and PV power stations and CSP stations, electric heating (EH) devices are used to convert unconsumed wind and PV power into thermal energy stored in the thermal storage system of the CSP station. Second, based on the difference in response time and response volume of customers, a stepped incentive-based demand response (IBDR) approach is introduced. Thus, a CSP–PV–wind power optimal dispatch model taking into account IBDR is established to achieve coordinated source-load dispatch. Finally, the CPLEX solver is invoked to optimize day-ahead scheduling with the goal of the lowest system comprehensive cost. Example analysis is used to confirm the proposed method’s usefulness in enhancing the system’s wind and PV power consumption capacity and reducing the system’s comprehensive cost.

Energy, exergy, economic, and life cycle environmental analysis of a novel biogas-fueled solid oxide fuel cell hybrid power generation system assisted with solar thermal energy storage unit

Biogas production and its derived hydrogen production technology have broad application prospects. In this paper, an integrated biogas power generation system with solid oxide fuel cells is proposed, which mainly consists of four units: a solar thermal energy storage unit, a biogas production and hydrogen generation unit, a SOFC-MGT unit, and a waste heat utilization unit. The presented system is first studied using energy, exergy, economic, and life cycle environmental analyses and the survey results are contrasted with those of renewable energy systems discussed in the references. Besides, a parametric study is conducted to explore the effect of thermodynamic parameters of solar irradiance, ambient temperature, work fluid temperature, reforming temperature, inlet H2O/CH4 ratio of the reformer, and the current density of SOFC. Results indicate that the proposed system's energy efficiency, exergy efficiency, electric power output and exergy destruction are 43.29%, 37.4%, 414.16 kW (net power generation is 351.43 kW) and 1434.59 kW, respectivily. Moreover, the system's levelized cost of electricity and carbon emission factor are $0.076/kWh and 335.6gCO2eq/kWh, having good economic and environmental benefits simultaneously. The parametric study shows that PTSC can be designed shorter with more solar irradiance and high ambient temperature. Besides, the increase of inlet H2O/CH4 ratio and reforming temperature make the system's energy efficiency fall by 2.5% and 20%. For every 300 A/m2 increase in the current density of SOFC, the system efficiency rises by 1.01%.

Analysis and Design of CUK-SEPIC-based Converter for Hybrid Power Generation Systems

Background: The increasing demand for electricity, coupled with an imbalanced supply and demand, population growth, and climate change, has prompted the shift from conventional to non-conventional energy systems. However, the unreliability and intermittency of the latter pose a challenge to their feasibility. To address this challenge, a proposal has been made to explore the combination of two renewable energy sources (RES) using a unique DC-DC converter topology, with the aim of meeting the load demand in a sustainable and efficient manner. Objective: The focus of this research was to explore solutions for the challenges associated with operating RES independently, including issues with intermittency, weather dependence, and meeting load demands. The proposed hybrid system features exclusively RES, offering a promising approach to reducing carbon footprint. Ultimately, we aimed to develop a CUK-SEPIC-based converter that can effectively integrate two independent RES to satisfy the load demand of a standalone application. Method: Effective hybrid power generation through RES is a complex challenge, but it has been found that combining solar and biomass energy sources is one of the best options for achieving this goal. To tap into these sources, it is essential to have a suitable power electronic converter, and the CUK-SEPIC converter has been chosen for its many benefits. The features of this converter have been described in detail. The integration of solar and biomass energy sources is achieved using this converter, which has been designed and mathematically modeled in the MATLAB/Simulink environment to ensure optimal performance. To validate the effectiveness of the proposed converter, a comparison with existing power electronic converters has been done using the MATLAB/Simulink platform. Results: The hybrid power generation system model has been comprehensively developed in this work using the sophisticated MATLAB/Simulink environment. The input and output parameters have been diligently estimated through an extensive simulation process. The research has yielded valuable insights, indicating that the CUK-SEPIC converter exhibits an impressive power conversion efficiency of 96.57%, along with an overall step-up ratio of 5.25 and significantly reduced ripple content. Conclusion: Upon conducting a comprehensive analysis of the CUK-SEPIC DC-DC converter, it has been observed that the proposed system exhibits significant promise in rectifying the reliability issues commonly associated with renewable energy power generation. Therefore, it is recommended that this system be considered for implementation in rural electrification initiatives. Furthermore, it is worth noting that this system represents one of the most recent developments in the field of renewable energy power generation technology.

Feasibility study on radioisotope-powered thermophotovoltaic/thermoelectric hybrid power generation system used in deep-sea: From design to experiment

This study aims to comprehensively examine the feasibility of a hybrid power generation system that integrates solar and thermoelectric technologies, with a focus on utilizing a radioisotope heat source (RHU) for deep-sea applications. The investigation encompasses the whole design process as well as rigorous testing procedures. The self-designed coupling device establishes a connection between the silicon photovoltaic (PV) cell and the bismuth telluride (Bi2Te3) thermoelectric modules (TEMs), therefore creating a photovoltaic-thermoelectric (PV-TE) hybrid system. The measuring platform incorporates the system to investigate the influence of varying light intensity (ranging from 400 to 1600 W/m2) on the electrical properties of the system, specifically focusing on three subgroups of PV cell temperature (20 °C, 25 °C, and 30 °C). The findings suggest that the enhanced performance of the photovoltaic (PV) cell and thermoelectric modules (TEMs) under identical PV cell temperatures may lead to an improvement in the electrical performance of the system due to variations in light intensity. Nevertheless, when the temperature of the photovoltaic (PV) cell increases, there is a gradual decline in the growth rate of the output power. The subsequent research provide evidence that there exist discrete mechanisms responsible for the reduction in intensity between thermoelectric modules (TEMs) and photovoltaic (PV) cells. The processes arise due to the impact of thermal effect on the photovoltaic materials and the increased temperature difference between hot and cold junctions of the thermoelectric modules (TEMs), respectively. Furthermore, a control group is incorporated by calculating the performance of the hybrid system under the same operating conditions as the single thermoelectric (S-TE) system. According to a comparative analysis comparing the Radioisotope Thermal-Photovoltaic-Thermoelectric (RTPV-TE) hybrid power production systems and the S-TE system, it has been shown that the former exhibits a potential increase in output power of up to 271% while operating under identical conditions. This work offers insights and methodologies for the design and measurement of RTPV-TE hybrid power generating systems in engineering application situations.

Energy, exergy and thermo-economics analyses of hybrid solar, steam turbine and biomass gasification system for hydrogen production by polymer membrane electrolyzer

This study presents an evaluation of the energy exergy and thermo-economics of a hybrid power generation system that simultaneously produces power, heat, and hydrogen using solar and biomass energy. The system employs a polymer membrane electrolyzer for hydrogen production, with heat exchangers utilized to attain the desired water temperature instead of conventional heaters. The steam turbine section is heated using exhaust gas from the combustion chamber and heated water from the condenser. Simulation of the system's thermodynamic, exergy, and exergy-economic analyses was conducted using the ESS tool. Analytical assessments were performed based on the provided data. The system achieves a power output of 25 MW, marking the highest level for solar-based systems. The results showed that the cost of the solar section, which constitutes around 68 % of the overall cost, rises with the number of mirrors. The exergy destruction rate of the entire system decreases from 25.71 MW to 24.95 MW. The total cost of operating the system increases by 175.5 dollars per hour at the highest temperature and decreases by 173 dollars per hour at the lowest temperature. The power consumption of electrolyzers directly affects the overall cost of the system, with a range of 0.05 to 0.07 MW resulting in total cost changes of 1.52 USD per hour. The transition to the work requiring the most energy by the electrolyzer causes a loss of 0.27 MW of exergy.

A numerical study on the performance of a hybrid ventilation and power generation system

Ventilation, cooling and power are essential requirements of buildings. Integration of solar chimney, earth-air heat exchanger and photovoltaic panel forms a new hybridsystem, which is able to provide simultaneous ventilation, cooling capacity and electricity in an effective manner for buildings. The contribution of this study is to quantitatively identify the thermal and electrical performances of the hybrid system using a comprehensive validated numerical model. In addition, a parametric study was also performed to examine the effect of the number of EAHE pipe and solar collector on the performance of the hybrid system in order to further enhance the system performance. The results revealed that the peak daytime ventilation of the proposed hybrid system is reduced by 22.05 % compared to the ventilation system of solar chimney integrated with earth-air heat exchanger, and the outlet air temperature is reduced by 0.12 °C in average; the indoor temperatures for the hybrid and ventilation systems are slightly different. Moreover, the minimum electrical efficiency of hybrid system is 1.34 % higher than that for stand-alone photovoltaic system. Increasing the number of earth-air heat exchangers leads to more than 36.43 % increase in peak ventilation volume and 3.7 % improvement in electrical efficiency. In addition, increasing the quantity of solar chimney-photovoltaic modules can effectively increase the induced ventilation volume, and the outlet air temperature, but has slight effect on the temperature and electrical efficiency of photovoltaic panel. Therefore, the hybrid system not only can supply appropriate ventilation but also can generate electric power to buildings. The findings provide a preliminary guidance for optimizing design of the hybrid system.

Mismatch losses mitigation of PV-TEG hybrid system via improved RIME algorithm: Design and hardware validation

The heat dissipated during the working process of the photovoltaic (PV) system may cause the working temperature to be too high, which will affect the power generation efficiency of the system. To make full use of solar energy and maintain suitable operating temperature, this article designs an array model of stacked photovoltaic-thermoelectric generation (PV-TEG) hybrid power generation system. Meanwhile, considering that partial shielding conditions (PSC) may lead to component mismatch, power reduction and so on, this paper proposes a PV-TEG hybrid system reconfiguration method based on the improved RIME (IRIME) algorithm. Firstly, according to the irradiance data on the PV modules, the IRIME algorithm is used to obtain the optimal electrical connection scheme. Then, according to the optimal scheme, the electrical connection of the hybrid system is reconfigured to achieve the purpose of suppressing the multi-peak phenomenon in the generation process and increasing the power generation. To verify the feasibility of the IRIME algorithm, ten PSCs are simulated on two PV-TEG hybrid systems of different scales to carry out simulation experiments. The simulation results show that the average output power of the hybrid system in both 6 × 6 and 6 × 10 scales has been improved by 26.76% and 30.47% after reconfiguration, respectively. Meanwhile, to further test the performance of this method, this article used PSO, GA, ACO, BWO, GWO, ALO and RIME for comparative experiments. The experimental results showed that the IRIME algorithm has better universality in the reconfiguration problem of hybrid systems. In addition, this article utilized the RTLAB platform to conduct hardware in the loop (HIL) experiments on the proposed reconfiguration method, which further verified the hardware feasibility of the method.

Resource endowments effects on thermal-economic efficiency of ORC-based hybrid solar-geothermal system

Implementing a high-efficiency hybrid energy generation system requires to comprehensively analyze the influences of multiple factors on the overall performance, including system layout, design parameters, energy resource endowments. For this purpose, this study developed a thermal-economic model for a 300 kW ORC-based hybrid solar-geothermal power generation system at four sites in China, which represents different solar and geothermal energy resources. The optimal configurations of the hybrid system have been obtained for the minimal levelized cost of energy (LCOE) under a certain annual electricity generation (E). The results show that the solar resources continue to play a dominant role in the proposed hybrid system, especially in optimizing the configuration of the system design parameters for the minimum LCOE. Comparing to the individual solar system, the hybrid power generation system significantly enhances its thermal-economic efficiency across the four selected sites, with a maximum increase of 25.34% in E and a maximum decrease of 16.28% in LCOE. Especially in regions with abundant shallow hydrothermal geothermal reservoirs but average solar resources, utilizing shallow geothermal water to preheat Organic Rankine Cycle (ORC) working fluids is a relatively simple yet efficient application of geothermal energy for power generation, worthy of further promotion and implementation.

ASS-MPPT and 2TSO Algorithm-Based Design and Evaluation of a Wind-Biomass Hybrid Power Generation Systems

ASS-MPPT and 2TSO Algorithm-Based Design and Evaluation of a Wind-Biomass Hybrid Power Generation Systems

A comprehensive assessment of the hybrid power generation system of PEMFC and internal combustion engine based on ammonia decomposition

This study presents a hybrid power generation system that combines a proton exchange membrane fuel cell (PEMFC) and an internal combustion engine (ICE), utilizing ammonia decomposition as the primary fuel source. The system comprises various components, including an ammonia decomposition subsystem, PEMFC, ICE, heat exchanger, solenoid valve, and power electronic converter. The research focuses on evaluating the system's performance by analyzing the impact of key thermodynamic parameters, such as decomposition temperature and separation ratio, as well as economic factors like ammonia and hydrogen prices, and service life. The findings reveal that the hybrid power generation system achieves a maximum output power of 16.23 kW and an efficiency of 50.28 %. Furthermore, it is observed that when the power ratio (α) between PEMFC and ICE is set to 1.2, the system achieves optimal electric power output. The levelized cost of energy (LCOE) for the system is calculated to be 0.0774 $ kWh−1 when the ammonia price is 0.35 $ kg−1. Additionally, the system exhibits a significant reduction in greenhouse gas (GHG) emissions, with an estimated decrease of 4.39 × 107 g. The hybrid power generation system has excellent thermodynamic, economic, and environmental performance, which lays a foundation for promoting the spread of high efficiency and zero pollution distributed hybrid power generation system.

Comprehensive environmental and techno-economic feasibility assessment of biomass- solar on grid hybrid power generation system for Burdur Mehmet Akif Ersoy University Istiklal Campus

The worldwide use of clean and environmentally friendly renewable energy sources, has been increasing to prevent global warming and climate change. In this study, a hybrid renewable energy system (HRES) including biomass and solar as the source, has been investigated for Mehmet Akif Ersoy University Istiklal Campus in Burdur, Türkiye. The campus has an animal farm consisting of 300 cattle and 200 sheep. Therefore, manure of the animals will be used as the resource for biomass generation. HOMER software is used to simulate the system and to find the size and the quantity of the equipment according to the meteorological and biomass capacity of the campus. The optimum system is determined by means of net present cost (NPC) and the cost of energy (COE). In the simulation, wind energy is also investigated but since the wind speed is not sufficient to produce energy in the region, it is not considered in the optimum system. The optimum system is determined to be grid connected biomass-solar system with 5000 kW PV panels and a 1500 kW biomass generator assisted by the grid of 3000 kW. Also, the NPC of the system is estimated to be USD 18.800.000 and the COE for the system is calculated as 0,107 USD/kWh. The system also reduces the emissions causing the global warming.