Gas-fired Power Plants Research Articles

Ammonia emission characteristics and ammonia injection control from stationary source in flue gas denitrification system

With the implementation of ultra-low emission of nitrogen oxides, denitrification technologies, such as selective catalytic reduction, selective non-catalytic reduction or selective non-catalytic reduction combined with selective catalytic reduction, have been widely used in gas-fired power plants, cement plants and municipal solid waste incineration power plants. These three denitrification industries have become the main potential fixed sources of ammonia emissions in urban areas, however the studies on ammonia emissions are lacking. In order to study the ammonia emission characteristics and ammonia injection control of gas-fired power plants, cement plants and municipal solid waste incineration power plants, field tests were carried out on five typical denitrification enterprises using three monitoring methods. The multi-form ammonia manual monitoring method proposed in this study distinguished and defined all possible ammonia in the flue gas into filterable ammonia, residual ammonia, condensable ammonia and gaseous ammonia according to the migration and transformation behavior during the collection process. The monitoring results of the multi-form manual monitoring method can more accurately reflect the actual ammonia emission level with the simultaneous collection and monitoring of different ammonia forms. The ammonia emission levels in cement plants (more than 20 mg/m³) were higher than that of gas power plants and waste incineration plants (almost less than 4 mg/m³). The condensed ammonia was the dominant form of ammonia, accounting for 58.4%～88.7%. The humidity and temperature of flue gas at the chimney outlet had significant influence on residual ammonia. For the denitration enterprises using a single denitrification technology, the ammonia emission had a linear negative correlation with that of nitrogen oxide with changing ammonia injection amount, while for that using combined denitrification technology, the degree of collaboration between selective non-catalytic reduction ammonia injection control and selective catalytic reduction ammonia injection control played a decisive role in the control of nitrogen oxide emission and ammonia emission, especially the selective catalytic reduction ammonia injection control.

Optimal AGC of a power system incorporated BESS-EHVAC/DC link using evolutionary techniques

This research paper reveals the design of controller with optimization techniques for automatic generation control (AGC) in multi-area power system incorporated with diverse energy sources. The diverse sources are conventional thermal, hydro and gas power station (THG). The frequency deviations should be remains constant in modern power systems. Optimization techniques used for proposed model for proportional integral (PI) controller which is tuned for AGC with diverse energy sources. The battery energy storage system (BESS) and extra high voltage alternating current/ direct current (EHVAC/DC) link investigated with proposed model. The proposed model has been tested with 1% step load perturbation (SLP) and MATLAB/Simulink verified their results. All the simulation results justified the area control error (ACE) with frequency deviation & tie-line power flow for area-1 and area-2. The comparative study done for PI controller with GA & PSO in the proposed model. It has shown its efficacy with proposed model including BESS and EHVAC/DC- link using GA and PSO.

Prevention and Detection of Coordinated False Data Injection Attacks on Integrated Power and Gas Systems

The growing reliance of integrated power and gas systems (IPGSs) on information and communication technology has left them prone to cyber-attacks. To protect IPGSs against such attacks, having comprehensive knowledge about possible attack strategies and their potential impacts is essential. On this basis, this paper (i) presents a new family of coordinated stealthy false data injection attacks (FDIAs) whose aims are to disconnect gas-fired power plants (GFPPs) by targeting IPGS measurements, (ii) develops a preventive defense strategy against the introduced family of attacks by improving the security of high-risk measurements, and (iii) proposes an online learning-based detection scheme using secured measurements. Initially, from an adversary point of view, a two-stage attack model is developed to construct the FDIA vector. In the first stage, power system measurements are manipulated to maximize the grid reliance on the targeted GFPPs, while bypassing bad data detection schemes. In the second stage, the measurements of gas networks (GNs) are falsified to portray a fake leakage, so forcing the operator to disconnect under-attack pipelines and interrupting the supply of fuel to targeted GFPPs. Each stage is formulated as an attacker-operator bi-level optimization problem, which is solved as mixed-integer linear programming (MILP) by converting the operator level to its corresponding Karush–Kuhn–Tucker (KKT) conditions. Afterwards, based on possible attack scenarios, high-risk measurements are identified to be secured as a preventive defense strategy. Finally, a multilayer perceptron (MLP) model is trained to detect cyber-attacks against IPGS. The performance of the proposed method is corroborated through simulations on IEEE 24-Bus 20-Node IPGS and IEEE 118-bus 135-node IPGS.

Lightning and Grounding Issues Impacting Safety and Performance of Liquified Natural Gas-Supplied Power Generation Plants: Lessons Learned to Correct Commonplace Misunderstandings of Requirements

This article covers the lessons learned from performing multiple liquified natural gas (LNG) power plant audits following nuisance tripping, personnel safety issues, and potential equipment failure. This article focuses on a specific facility but includes aspects of three other sites, as well. These investigations started out as forensic investigations but quickly moved into lightning and power system grounding audits based on evidence encountered. These audits covered improvement opportunities in lightning protection, transferred earth potentials, personnel step and touch potentials, safety, electronic grounding of generation controls, and related LNG gas supply. It was clear that there were several commonplace misunderstandings of the correct site lightning and grounding installation requirements to ensure a safe and reliable electrical system. Based on the professional experience of the authors, the documented improvement opportunities identified are not unique to this site and are very similar in nature at other locations.

Energy, Exergy, and Emissions Analyses of Internal Combustion Engines and Battery Electric Vehicles for the Brazilian Energy Mix

Exergy is a thermodynamic concept that ponders the quality of energy. It evaluates the irreversibilities of a machine, demonstrating its capacity to perform work associated with energy conversion. This article focuses on directing public policies and vehicle development toward their most proper usage worldwide. In the urban mobility scenario, there is an obvious demand to decrease greenhouse gas (GHG) emissions. In addition, the internal combustion engine (ICE) experiences considerable energy losses through heat exchange through the radiator and exhaust flow gases, which are not considerable in battery electric vehicles (BEVs) since there are no exhaust gases subsequent to combustion, nor combustion itself. This work presents longitudinal dynamics simulations of passenger vehicles to understand the magnitude of exergy destruction in ICEVs and BEVs, considering the Brazilian and European Union electric energy mix. Overall, the method can be applied to any other country. The simulation and model parameters were configured to match production road vehicles commercialized in the Brazilian market based on different versions of the same model. Two vehicle dynamic duty cycles were used, one relating to urban usage and another to highway usage, resulting in an overall exergy efficiency of around 50–51% for BEVs considering the exergy destruction in power plants. In contrast, ICE has an average efficiency of 20% in the urban cycle and around 30% in the highway cycle. By comparing the overall equivalent CO2 emissions, it is possible to conclude that EVs in the European energy matrix produce more GHG than ICE vehicles running on ethanol in Brazil. Nevertheless, there are increasing uses of coal, natural gas, and oil thermal electric power plants, raising the question of how the transition may occur with a general increase in electrification since there is an increasing electric expenditure in all sectors of society, and the renewable energy plants may not meet all of the demand.

Environmental impact assessment of an air-to-water heat pump through the expanded total equivalent warming impact index based on experimental data

The Total Equivalent Warming Impact (TEWI) index is conventionally used to evaluate emissions from heating, ventilation, air conditioning and refrigeration (HVAC&R) systems. However, a more comprehensive indicator, the Expanded Total Equivalent Warming Impact (ETEWI), has been proposed to overcome the limits of TEWI index and to consider additional environmental impacts such as the effects of urban heat island and the natural gas losses along high-pressure pipelines supplying gaseous fuel to natural gas-fired power plants. In this study, TEWI and ETEWI metrics are applied to an air-to-water electric heat pump (EHP) serving a university building in Benevento (Southern Italy). Real data on EHP electricity consumption have been derived from the entire building's electric load and compared to measured data. ETEWI index has been estimated in two scenarios, one considering the impact of refrigerant charge variation on the performance of the EHP and its environmental impact and the other disregarding it. Additionally, carbon dioxide emission factors for electricity production have been forecasted from 2021 to 2033 to determine the indirect term of ETEWI index. Over the lifetime of the EHP, ETEWI increases by 4.8% compared to TEWI when the variation of refrigerant charge level is not considered. However, this percentage growth is equal to 6.5% when the impact of refrigerant charge change is accounted too. In the latter scenario, the indirect term of ETEWI decreases from 22.7 tCO2 in 2015 to 12.0 tCO2 in 2033 when the forecast of the carbon dioxide emission factors for electricity production is taken into account.

Multi-objective optimization of a hybrid renewable energy system supplying a residential building using NSGA-II and MOPSO algorithms

Multi-objective optimization of a hybrid system is investigated to supply an autonomous residential building. The proposed system consists of photovoltaic panel, wind turbine, ground source heat pump, diesel generator, battery bank, and fuel cell. This study presents an innovative approach in optimization considering all economic, technical, environmental, and social aspects. Objective functions include loss of power supply probability (LPSP), levelized cost of energy (LCOE), CO2 emission, and human development index (HDI) that are optimized simultaneously. Also, the simulation-based approach in NSGA-II and MOPSO algorithms is used to estimate the Pareto front. The Pareto front solutions are the optimum points that help decision-makers choose the best system configuration based on priorities. Due to the importance of renewable energy utilization and reliability, two conditions of renewable fraction (RF) > 70% and LPSP < 0.05 are considered to select the optimal systems. Among the selected systems, the solutions with the highest RF also generated more extra energy. Diesel generators are much less expensive than fuel cells; however, the environmental benefits of the fuel cell make this technology attractive. Therefore, systems that use only the diesel generator as a backup unit have lower LCOE and higher CO2 emissions. LCOE in selected solutions is reduced by 51 to 88% by selling extra power to the grid. The environmental assessment results show that CO2 emissions in selected systems compared to coal-based power plants and natural gas power plants are decreased by 46–100% and 3–100%, respectively. Also, Pareto fronts evaluation shows that the NSGA-II algorithm's solutions covered a more extensive range and scattered more uniformly.

Thermodynamic and Economic Analysis of a Liquid Air Energy Storage System with Carbon Capture and Storage for Gas Power Plants

Liquid air energy storage (LAES) technology is helpful for large-scale electrical energy storage (EES), but faces the challenge of insufficient peak power output. To address this issue, this study proposed an efficient and green system integrating LAES, a natural gas power plant (NGPP), and carbon capture. The research explores whether the integration design is theoretically feasible for future adoption in operating the LAES system and NGPP. The effect of the charging pressure, the number of air expansion stages, and electricity prices on the overall thermodynamic and economic characteristics are investigated. The round-trip efficiency and the exergy round-trip efficiency of the proposed system are 47.72% and 69.74%, respectively. The calculations show that the minimum dynamic payback period for such a project is 3.72 years, and the lowest levelized cost of electricity is 0.0802 USD·kWh−1. This work provides a reference for peak-shaving power stations with energy storage and carbon capture.

Thermodynamic and economic analysis of a novel multi-generation system integrating solid oxide electrolysis cell and compressed air energy storage with SOFC-GT

Traditional gas-fired power plants are characterized by low efficiency and challenges in peak regulation. Even with the incorporation of compressed air energy storage, they still exhibit deficiencies in flexibility during peak load regulation. In this paper, we propose a novel hybrid power system based on gas-fired power plants, capable of producing electricity, heat, and hydrogen, while achieving flexible peak load regulation. The system is comprehensively evaluated using energy analysis, exergy analysis, and economic analysis. Results show that the total energy efficiency and exergy efficiency of this hybrid power system perform well, surpassing existing research on fuel cell-gas turbine systems. Among the subsystems, the fuel cell contributes the most to the total energy output of the hybrid system but also incurs the highest exergy losses, while the relative exergy losses of the water electrolysis and compressed air energy storage systems are relatively small. The configuration of dual energy storage systems enhances the flexibility in peak load regulation. Additionally, the proposed hybrid system exhibits low carbon emissions of 0.08 to 0.12 t/GJ. Considering factors such as discount rate, the initial investment cost can be recovered in 5.81 years, and the calculated net present value is 492,275.82 k$. Thus, the proposed scheme also possesses certain advantages in terms of economic feasibility.

Pressure energy recovery of LNG integrated with multi-stage feedwater fuel preheaters in a combined cycle power plant

Liquefied natural gas and combined cycle power plants have emerged as solutions to the intermittency of renewable energy sources, but they require innovative approaches for efficiency improvement. This study proposes a novel pressure recovery system, integrated with multi-stage feedwater fuel preheaters, to improve the efficiency of combined cycle power plants connected to natural gas supply stations. The research demonstrates that preheating the fuel to 350 °C reduces fuel consumption by 2.06% while maintaining the gas turbine inlet temperature. Additionally, heating the fuel gas to 210 °C using feedwater, then expanding it to 30 bar in the turbine, leads to a 193% increase in pressure recovery net power output compared to using seawater alone. By combining these two effects, the proposed system improves the overall efficiency of the combined cycle power plant by 1.08%p compared to the basic system without fuel preheating and pressure recovery. Furthermore, implementing pressure recovery and fuel preheating concurrently, rather than sequentially, increases the efficiency by an additional 0.163%p. These findings highlight the potential for this innovative system to maximize the efficiency of combined cycle power plants, and pave the way for further exploration of new approaches to enhance the performance of liquefied natural gas power plants.

Energy, exergy, and economic evaluation of integrated waste incineration facility with a thermal power plant

Increased waste production and poor waste management have created severe negative environmental impacts. Waste incineration is a way to produce energy and decreases environmental impacts; however, this technique cannot be considered independently as a source of power generation because of its low performance. This study aims to evaluate the integration of a waste incineration system with a natural gas-fired power plant in terms of energy, exergy, and economic points. As a result of the proposed configurations, in addition to promoting efficiency and net power production, some equipment is removed from power plants. Efforts are made to increase the accuracy of simulation results by paying attention to the combustion process in boilers and predicting the actual working condition of feed water heaters. Results showed that the hybrid scheme improves electricity generation by up to 2.87 MW and boosts energy, and exergy efficiency by up to 0.32%, and 0.3%, respectively.

Integration of adsorption based post-combustion carbon dioxide capture for a natural gas-fired combined heat and power plant

This paper proposes a continuous CO2 capture system for natural gas combined heat and power (CHP) facility and explores the potential of low-temperature vacuum-swing adsorption (VSA) process for post-combustion CO2 capture (PCC) in the context of carbon capture and storage (CCS). Although VSA has strong potential for efficient CO2 capture in district-scale energy systems, previous case studies have largely focused on high-emission coal combustion sources, making VSA application challenging for these conditions. We address this issue by theoretically designing a ready-to-operate flue gas cleaning process with CCS for a medium-sized 4.3 MW natural gas CHP operating in the local industry. Our in-depth analysis examines the most critical parts such as dehydration, involving condenser and temperature-swing adsorption (TSA), and CO2 capture via VSA. The conceptual design and performance of VSA are approached by developing a mathematical model to estimate the technology size and performance. This work shows that utilising a small fraction of heat recovered from CHP-generated flue gas is sufficient to supply the necessary heat for auxiliary units, and that using natural cooling water for dehydration effectively reduces moisture (87 vol%) and energy demand for final dehydration via TSA. Furthermore, it demonstrates that 4-step VSA consisting of 15 columns using zeolite 13X can separate CO2 with a desired purity of 90.4%, meeting the requirements for CO2 storage and transportation onshore, at a 15.6% recovery rate. The cost of achieving high CO2 purity without pre-pressurising the CO2-rich flue gas, while maintaining cycle simplicity, is discussed. Overall, our paper provides a comprehensive approach to retrofitting distract-scale power plants with CO2-lean emissions, presenting a ready-to-operate flue gas cleaning technology based on real operating conditions and technical restrictions, which can contribute towards decarbonisation.

Design and thermodynamic analysis of a novel structure utilizing coke oven gas for LNG and power cogeneration

Coke oven gas is a by-product of the process of producing coke from coal and contains valuable compounds such as hydrogen and methane. In this study, an improved process was proposed for co-generation of power and LNG from COG with low CO2 emissions and high energy and exergy efficiency. This proposed process includes: LNG Recovery Unit, Organic Rankin Cycle, and the power plant. The results of simulation showed that the exergy and energy efficiencies for this proposed process are 77.9% and 70.29%, respectively, which are considerably higher than other studies. It is found that the total exergy destruction of the proposed process is 4272.95 kW, and the power plant with 3118.1 kW exergy destruction has the largest share in total exergy destruction. Additionally, outcomes showed that ORC recovered 1205 kW of waste heat from compressor exhaust gases and produced 167.4 kW of power. Environmental analysis shows indirect carbon emissions for the proposed process is zero. The CO2 emissions for the total energy and electric power generation were 0.0034 kgCO2/MJ and 406 gCO2/kWhel, respectively which are lower than coal or natural gas power plants.

The price and income elasticities of natural gas demand in Azerbaijan: Is there room to export more?

Natural gas is frequently introduced as a “transitional fuel”. Because burning natural gas emits less carbon dioxide emissions than burning either oil or coal. Additionally, the intermittent nature of low-carbon electricity generation creates imperative for using natural gas for power generation. The role of natural gas is currently under scrutiny as climate change transforms into a climate crisis. Meanwhile, share of natural gas in the primary energy consumption of Azerbaijan is 69%, while 94% of the country’s electricity is currently being generated in natural gas-fired power plants. In this manner, this paper estimates income and price elasticities of natural gas demand for the Azerbaijan case. In this study, various sets of estimation techniques are utilized. By modeling natural gas demand with different estimation methods, including Autoregressive Distributed Lagged Structural Time Series Modeling, Dynamic Ordinary Least Squares Method, Fully Modified Ordinary Least Squares, Canonical Cointegrating Regression, and General to Specific under Autometrics multi-path search machine learning algorithm, we try to find if there is room for the country to export more. All these utilized estimation methods confirmed the long-run income elasticity to be around 0.8, while the long-run price elasticity is around −0.1. Both estimations provide insights in terms of energy security and electricity security for policymakers during the implementation process of climate, energy, and environmental policy. Findings of this study classify natural as a necessity and normal good for the Azerbaijan case. The main policy implication of this study is that policymakers must enable and facilitate the availability of close renewable substitutes for residential and commercial customers. Estimated elasticities suggest that with rising national income, demand for natural gas will keep increasing, and efficient consumption will not be attainable with increasing prices. In the pursuit of export potential, findings suggest that it is more relevant to free up natural gas allocated from power generation by substituting it with renewable energy sources.

An evolutionary programming technique for evaluating the effect of ambient conditions on the power output of open cycle gas turbine plants - A case study of Afam GT13E2 gas turbine

In this research a novel Evolutionary Programming (EP) approach combined with a Continual Learning Neural Network (EP-CLNN) technique is proposed for the evaluation of Open Cycle Gas Turbines (OCGTs) net power output considering ambient temperature conditions. Studies were performed comparatively considering the proposed EP-CLNN approach, state-of-the-art linear regressors of several Polynomial (Poly) orders (Poly-1, Poly-2, Poly-3, and Poly-4) and three relatively small-to-big datasets. These approaches were applied to two open source datasets reported in the literature and a case study small dataset acquired from the Afam gas power station plant (GT132E2). The results showed that the reported Root-Mean Squared Error (RMSE) and mean net power estimates for the EP-CLNN are indeed promising considering the constraint of sequential continual learning prediction requirement, reduced variable (single input variable), simpler function set, and relatively small datasets. For the case of the big open source dataset (Dataset-1), the proposed EP-CLNN approach gave the best solution with least RMSE of 4.9926 MW over the linear regressors - Poly-1, Poly-2, Poly-3, and Poly-4 with RMSE estimates of 5.4609 MW, 5.2305 MW, 5.0986 MW, and 5.0980 MW respectively. For the case of the small dataset (Dataset-2), the estimated mean net powers were 32,974.0000 MW, 59140.0000 MW, and 96.2143 MW for Poly-1, Poly-2, and the EP techniques respectively; when compared to the base (reference) net mean power of 97.52 MW, the EP technique is the better one. Furthermore, for dataset 3, the EP technique gave an RMSE of 0.3381 MW while the combined solution of EP-CLNN gave a Mean Absolute Percentage Error (MAPE) consensus estimate of 0.1377 from a synthesized dataset of 20 evolved symbolic expressions. Thus, the EP-CLNN represents a promising approach to real-time gas turbine power output modeling with better accuracy and unique consensus expression capability.

Suleimanya Gas Power Station Hazards Upon their Workers' Health Status: A Cross-Sectional Study.

Suleimanya Gas Power Station Hazards Upon their Workers' Health Status: A Cross-Sectional Study.

Carbon dioxide removal from the oceans: Carbon dioxide emission and techno-economic analyses of producing renewable synthetic methane

The capture of carbon dioxide from ocean water and utilizing the captured carbon as a stock for carbon-neutral renewable methane production may reduce a considerable amount of carbon in the atmosphere. However, given the lack of comprehensive analyses to reveal the potential, the examination proceeded through techno-economic and carbon dioxide emission analyses with several possible options of carbon dioxide extraction, location, electricity sources, and transport media. Through the economic analysis, the unit methane supply costs range from 3.5 to 7.5 $ kgCH4−1 according to the different options, and the majority of the total cost is found to be the electrolysis for generating hydrogen. The results of the emission analysis indicate cumulative emissions of the considered pathways which are highly negative values of around −80,000 tonCO2 y−1 due to the utilization of carbon by extraction. However, the utilization of synthesized methane in the natural gas power plant makes the final cumulative emission amount become highly positive values of more than 70,000 tonCO2 y−1. Here, the required capture rates in the power plant are suggested for the respective pathways to achieve carbon neutrality. A capture rate of 54.44 % is required for the pathway using column and OTEC, while 77.62 % is required for the pathway using BPMED and PV. Thus, given that it could be verified that the suggested pathways are competitive in the environmental aspect if the carbon capture in the utilization plant is possible, which can take advantage of the rate less than the common existing rate, a significant reduction in the cost, especially the levelized cost of electricity, will be crucial for the pathways to attaining competitiveness in the economic aspect as well.

High-temperature oxidation and hot corrosion behavior of the Inconel 738LC coating with and without Al2O3-CNTs

Abstract The high-temperature corrosion of turbine blades poses a serious threat to the efficiency of electrical gas power stations, which results in heavy economic losses. In the present study, the Inconel 738 low-carbon steel utilized in the turbine blades was coated on alumina (Al2O3) in a variety of percentages of carbon nanotubes (4, 6, and 8 wt%) using the plasma spray technique. The behavior of the Inconel 738LC alloy with and without artificial ash (67 wt% H2SO4 and 33 wt% V2O5) at different temperatures (650, 750, 850, and 950°C) was investigated. The cycles of hot corrosion and oxidation were achieved in an electric furnace for 10 cycles of 5 h each. After each cycle, the weight changes were measured and recorded. The SEM and XRD achieved for all the specimens were noted, before and post the corrosion.

A novel optimization for liquefied natural gas power plants based on the renewable energy

As the world's energy demand grows, the liquefied natural gas industry is gaining popularity as a cleaner fossil fuel source. The existing economic dispatch models of the liquefied natural gas-fueled oxy-fuel combined cycle integrating the renewable energy sources and the energy storage system are not applicable because of lacking modeling and optimizing of the renewable energy sources and energy storage system. This paper proposed a novel economic dispatch model to maximize the generation benefits for determining the optimal configuration of photovoltaic array panels, wind turbines, and the energy storage battery. We established and decoupled the energy-mass coupling model of a liquefied natural gas-fueled oxy-fuel combined cycle, developed the photovoltaic array panel, the wind turbine, and the storage battery model, and calculated the time-of-use electricity price, levelized cost of energy, and levelized cost of storage energy. The model determined the optimal ratio of the photovoltaic array panel and the wind turbine, the installed capacity of the storage battery, and allocated the power of the renewable energy sources and the online grid properly. The results showed that within 120 h, the renewable energy sources reduced the grid load by 40.81%, and the total generation of the photovoltaic array panel and the wind turbine was only 24.86% and 37.39% of the installed capacity. And the energy storage battery is in dynamic balance, with a net discharge capacity of 298.23 MW. The levelized cost of energy was the key factor affecting photovoltaic array panels/ wind turbines installed capacity. The installed percentage of wind turbines did not affect the energy storage systems capacity but the total economic benefit.

A transient study on a solar-assisted combined gas power cycle for sustainable multi-generation in hot and cold climates: Case studies of Dubai and Toronto

Efficiently managing heat losses continues to be a prominent obstacle within gas-fired power plants. The discharge of high-temperature gases from turbines and the considerable pressure generated by compressors present compelling opportunities for augmenting both power generation and overall efficiency. The present study analyzes a gas-fired power plant with two additional Rankine cycles and a concentrated solar power system to enhance efficiency and output power. Clean power generation and distilled water were the outputs of the proposed system. This study also sought to reduce greenhouse gas (GHG) emissions by using solar energy and diminishing the consumption of fossil fuels (CH4) in the combustion chamber. The proposed system was implemented in hot and cold climates. The Brayton cycle of the system was validated through data of a real-life power cycle on the southern coasts of Iran. Furthermore, a transient evaluation was conducted to explore the effects of climatic parameters on the power and desalination system. The contributions of solar irradiance, wind speed, and ambient temperature to the proposed system in a hot climate (Dubai, UAE) and a cold climate (Toronto, Canada) were evaluated. It was found that gas turbine efficiency, compression ratio, and gas turbine input temperature had the greatest effects on the system. Exergy analysis revealed that the combustion chamber, heliostats, the solar receiver, the multi-effect distillation (MED) unit, gas turbine 1, and the thermoelectric generator accounted for the largest portion of the exergy destruction. The case study indicated that the system would work best in climates like Toronto. The findings can be useful to investors and governments in such climates. The proposed system demonstrates its adaptability to regions sharing a climate resembling that of Toronto, making it a viable solution for a wide range of geographical areas. The design and functionality of the system have been meticulously crafted to accommodate the specific environmental conditions present in Toronto and its comparable regions. Gas-fired power plants across numerous countries widely employ the Brayton cycle as their primary operational framework. In this context, the proposed system presents a compelling opportunity to unlock valuable outcomes and advancements.