Energy Generation Units Research Articles

Transactive energy management for CIES considering tri-level hybrid game-theoretic approaches with multiple weight allocation factors

In city integrated energy systems, to reduce the costs of energy production and usage, it is extremely important for different entities to design proper energy management approaches since they have diverse behaviours and benefits. The hierarchy of the system is naturally divided into three layers, and hybrid game theories are employed on the basis of the vertical master–slave and horizontal equal cooperation characteristics among energy providers, aggregators, and users. First, to reflect the interactions between different levels' entities, Stackelberg game theory is adopted vertically, and the model complexity is lessened by the KKT conditions. Then, for energy providers, the asymmetric bargaining game is improved by combining multiple weight allocation factors, which can help reduce renewable energy fluctuations and encourage the consumption of clean energy to reduce the carbon emissions of the system. Also, the results show that the proposed method can enhance the utility of renewable energy generation units by approximately 64 % to 69 %. Finally, the optimality and effectiveness of the proposed game theoretic approaches are verified in case studies and in strict mathematical proofs. In addition, the impact mechanisms on the demand response from the perspectives of the user load and price sensitivity are analysed. To explore pricing methods that are more suitable for user aggregators, two pricing strategies are designed for the user aggregator and compared in terms of computation time and revenue. The results show that a unified pricing strategy can increase the aggregator's revenue by 1.24 % and reduce the computation time by 24.47 %.

A dynamic reference voltage adjustment strategy for Open-UPQC to increase hosting capacity of electrical distribution networks

Future electrical grids, particularly the distribution networks, may face more severe voltage rises/drops, and in general, more power quality problems in the presence of new loads such as electric vehicle chargers and renewable energy generation units like photovoltaic systems. This necessitates investing in additional high-cost infrastructure to increase the capability of the feeder in hosting higher levels of loads and generation units while the existing capacity is not utilized effectively. In the stated condition, effective voltage stabilization strategies in electrical distribution networks can contribute to hosting capacity improvement and the better utilization of the existing infrastructure. Accordingly, in this paper, the application of Open-UPQC in voltage profile improvement and hosting capacity enhancement is evaluated in low-voltage distribution networks. Furthermore, a dynamic reference voltage adjustment strategy is applied to the device to improve its capabilities in power quality improvement and hosting capacity enhancement. Simulation studies have been implemented to evaluate the capability of Open-UPQC either with static reference voltage or the dynamically-adjusted one in low-voltage networks with real measured data while different cases are assessed regarding the topology and the length of the feeder. The simulation results approved the capability of Open-UPQC especially with the dynamic reference voltage in hosting capacity enhancement while providing the highest level of voltage profile improvement among all the assessed custom power devices in the studied low-voltage networks.

Multi-actor approach to manage the water-energy-food nexus at territory scale

This study presents an innovative water-energy-food nexus (WEFN) generic multi-actor multi-level framework that simulates dynamic nexus systems and generates optimal resource management schemes and land-use allocation scenarios. The framework combines operational integrated multi-agent based simulations, dynamic agro-hydrological and renewable energy generation units (solar and wind) models and multi-criteria decision-making methods. It has been applied to a case study area of 800 km2 located downstream the Aveyron watershed, in Southwestern France. Local and regional strategic multi-criteria decision-making settings are compared. Under the local decision-making setting land-use allocation decisions are taken at agricultural parcel level whereas under the regional decision-making settings a single land allocation decision is taken for the whole territory. Possible land allocations are either crop rotations allocations, renewable energy generation units allocations or a mix of both. The framework is useful to generate scenarios of spatial allocations of renewable energy production units in an agricultural watershed facing water scarcity.

Multi-criteria evaluation of poly-generation system applied to commercial buildings with various prime movers and building types

The present study evaluates the performance of a poly-generation system applied to commercial buildings. An internal combustion engine (ICE) and solid oxide fuel cell (SOFC) used as prime movers represent different efficiency distributions according to part load ratio variation. Accordingly, discrete results are found in terms of energy, environment, and economy depending on the prime mover type applied to each building. A renewable energy system is combined with the poly-generation system, and the outputs produced from the energy generation units are transferred to the energy storage system and supplied to the demand sources. Through the parametric study and hybrid control method, the stored energy is optimally distributed to the cooling and heating system to maximize the primary energy saving ratio. The major components constituting the poly-generation system are modeled and validated based on experiments and literature to enhance the reliability of the dynamic simulation model. The monthly amounts of replenished and wasted energy are examined, and the magnitude of produced energy contribution to the building self-sufficiency ratio is also identified. When ICE- and SOFC-based poly-generations are applied to the hospital, 30.2% and 45.2% of the primary energy consumption is saved, respectively, compared with the conventional system. For the office, the corresponding systems reduce primary energy consumption by 1.8% and 37.2%, respectively. The economic feasibility of the poly-generation systems is examined considering the current energy project in South Korea.

ENERGY MANAGEMENT SYSTEM OF MICROGRID WITH RENEWABLE ENERGY SOURCES

The most recent development in the electrical system is the microgrid. Many scattered, networked energy storage, loads, and generation units make up a typical microgrid system. An energy system made up entirely of renewable resources is called a microgrid (MG), an energy storage device, and loads that can operate in grid-connected or islanded mode. The demand for the load and the power flow within MG should be managed by scheduling renewable resources. This paper presents a hybrid microgrid energy management system (MEMS) that combines grid-connected solar (PV), wind power from microturbines, and battery energy storage systems (BESS). Due to their increased energy efficiency, microgrid units are becoming more and more well-liked every day. Energy management for microgrids is required since renewable energy sources provide an imbalance in the Power System due to their stochastic behavior. Controlling the DC/DC bidirectional converter (DBC), which links the Ni-H battery to the DC bus of the grid-connected microgrid, is the primary goal of this study. The start-up of a wind/photovoltaic power generation system to the load is covered in this study. MATLAB/SIMULINK was used to model a microgrid system that is connected to the grid. Key Words: Microgrid, Photovoltaic (PV)

Power Scavenging Microsystem for Smart Contact Lenses.

On-the-eye microsystems such as smart contacts for vision correction, health monitoring, drug delivery, and displaying information represent a new emerging class of low-profile (≤ 1mm) wireless microsystems that conform to the curvature of the eyeball surface. The implementation of suitable low-profile power sources for eye-based microsystems on curved substrates is a major technical challenge addressed in this paper. The fabrication and characterization of a hybrid energy generation unit composed of a flexible silicon solar cell and eye-blinking activated Mg-O2 metal-air harvester capable of sustainably supplying electrical power to smart ocular devices are reported. The encapsulated photovoltaic device provides a DC output with a power density of 42.4 µW cm-2 and 2.5mW cm-2 under indoor and outdoor lighting conditions, respectively. The eye-blinking activated Mg-air harvester delivers pulsed power output with a maximum power density of 1.3mW cm-2. A power management circuit with an integrated 11 mF supercapacitor is used to convert the harvesters' pulsed voltages to DC, boost up the voltages, and continuously deliver ≈150 µW at a stable 3.3V DC output. Uniquely, in contrast to wireless power transfer, the power pack continuously generates electric power and does not require any type of external accessories for operation.

Distributed generation aggregators considering low-carbon credits optimize dispatch strategies

Abstract Against the backdrop of China’s implementation of the “dual carbon” target and carbon emissions trading policies, renewable energy generation technologies have matured and received support from related policies. Distributed power sources have played a crucial role in the power system, and aggregators have integrated a large number of distributed power sources with diverse characteristics, shielding the complex characteristics of the underlying distributed power sources from grid scheduling. This article introduces the revenue optimization of low-carbon integration to optimize the aggregator’s scheduling model, designs distributed renewable energy generation units, and studies the solution strategy based on quantum genetic algorithms for large-scale optimization scheduling problems. The aggregator’s optimization variables divide the entire optimization problem and consider low-carbon integration to achieve distributed management of green energy parks, providing a feasible theoretical framework for the further development of distributed power sources. It has important practical significance in energy conservation, emissions reduction, and ecological environmental protection.

A multiple-objective capacity allocation optimisation method for cogeneration integrated energy systems considering life cycle carbon emission

ABSTRACT With the increasing penetration of renewable sources, the cogeneration integrated energy system (CIES) is much more efficient and flexible to achieve various types of energy supply for remote loads. Due to uncertainties in both sources and loads, the CIES should be carefully planned and optimised to keep it working at the suitable operation condition. Therefore, this paper proposes a multi-objective capacity allocation optimisation method for the islanded CIES, which is composed of renewable energy generation unit, electric-thermal conversion unit, electric storage, thermal storage and various loads. Firstly, three optimisation objectives are selected as typical indexes, including economic cost, solar energy utilisation, and life cycle carbon emission. An improved radar chart evaluation (RCE) solution is subsequently utilised for calculating a fitness function and building the multi-objective optimisation model. Besides, several compulsory constraints are supplemented to ensure the overall CIES performance satisfy energy supply requirement. As a mature and widely accepted algorithm, a genetic algorithm is chosen as an example to obtain the optimal capacity allocation scheme. Case study of an islanded CIES is provided on the basis of real data from the remote region of northwestern China, which successfully verifies the effectiveness of the proposed optimal capacity allocation method.

Boosting of Dissipated Renewable Energy Systems Towards Sustainability in Kazakhstan

Abstract The study aims to develop a methodology for selecting and justifying a multi-energy hub based on renewable energy sources for agricultural complex. The methodology has an international dimension and was tested for the pilot case of the study in an agricultural site in Kazakhstan. The methodology consists of two parts. With the help of the EnergyPro software package, simulation of technical and economic analysis and optimization of energy hub operation for several different energy generation units was carried out. During the simulation, four different scenarios of an energy hub based on solar and wind energy, biomass and heat pump as well as coal-based fossil energy sources were considered. The second part of the methodology was based on the economic justification of climate-neutral technological solutions using multi-energy hubs in the agriculture sector. Climate neutrality diagram was created by use of GHG emission trading experience for a detailed technical and economic analysis and selection of the best renewable sources from various installation sites. Results show that the most promising and cost-effective option is the scenario with an integrated wind park, heat pump and biomass boiler.

A Low Cost Real-Time Transient Recorder for High Voltage Systems.

Large-scale incorporation of new energy generation units based on renewable sources, such as wind and photovoltaic power, drastically alters the structure of the power system. Because of the intermittent nature of these sources, switching in grids (connection and disconnection) occurs much more frequently than with conventional sources. As a result, the power system will inevitably experience a large number of transients, which raises questions about the stability of the system and the quality of the electrical energy. Therefore, measuring various types of transients in power system is crucial for stability, power quality, fault analysis, protection design, and insulation design. Transient recorders that are currently used are generally expensive and only suitable for particular locations in power systems. The number of installed transient recorders is insufficient for a comprehensive analysis of problems that may occur. Hence, it is important to have inexpensive and efficient transient recorders that can be installed at multiple points in the power system on various types of objects. It is also essential to have a transient record database with open access, which can be used by researchers to develop new analysis techniques based on artificial intelligence. This paper proposes an inexpensive measurement and acquisition system designed to record transient phenomena on different objects within the power system. The system is designed to use autonomous power, a standardized data acquisition module, a low-budget system for transmitting recorded transient events to the server via mobile network, and a sensor system adapted to the object where transients are recorded. The proposed system is designed to be used for all types of objects in the power system where transients may occur, such as power lines, transmission towers, surge arresters, and transformers. All components of the system are described, and the system is tested under laboratory conditions. The modular nature of the system allows customization to the specifics of the location in power system by choosing appropriate components. The calibration method of the custom designed Rogowski coil is described. The cost analysis of the proposed system and power consumption analysis are performed. The results show that the system's performance meets application requirements at a low cost.

A Comparative Study Of Reliability-Centered Maintenance And New-Based Maintenance Approaches On A Working-Hours Engine: A Case Study

Maintenance is an important system in operation. In an era where the electricity generation industry focuses on 24-hour operations to maximize the production of electrical energy, which is needed for development and as a driving force for office equipment and the economy of the people in Timor- Leste, it is pushed to its absolute limit to meet this demand. With the increase in the operation of the electric energy generation unit, the wear and tear of the engine components will increase. So, the need for increased engine parts, to prevent failure. To remedy this situation and guarantee the machine’s continued peak performance, preventative maintenance is executed. Preventive maintenance (PM) is one subfield of maintenance that aims to forestall failures before they manifest. The maintenance, production, and management teams will need to work closely together to make PM a success. This article is a case study of Electrical Diesel Timor-Leste (EDTL), a firm with two power production facilities located in Hera and Betano, and it examines the causes of inefficient PM activity and the ramifications this has for the organization.

Techno-economic feasibility analysis of grid configuration sizing for hybrid renewable energy system in Turkey using different optimization techniques

Today, with a human population of 7.5 billion, increasing power consumption, and widespread use of high-technology equipment, the need for energy in the world is increasing day by day. The damage to nature caused by non-renewable energy resources and the economic and political disadvantages they cause in countries that must import these resources have led the world to search for alternative energy sources. One of the most important benefits of renewable energy sources is that they can create hybrid energy systems with other energy sources. Hybrid energy systems are structures in that more than one energy generation unit works together to feed the electrical load. In this paper, a hybrid system will be designed by using Homer PRO, to supply the energy consumed in the residential areas of Karaburun and Urla districts of Izmir province in Turkey with hybrid renewable energy systems. Systems of different sizes are designed for 50%, 75%, and 100% penetration rates, and sales to the grid are constrained to 0%, 25%, 50%, and no constraint on sales. Sensitivity analyses have been performed for 10% and 20% more power required by the load. Techno-economic analyses were done for the systems and the optimal system has been identified. The power flow of the optimal system is inspected by defining the network in Python and Fire Hawk Optimizer (FHO), Grey Wolf Optimizer (GWO), and Particle Swarm Optimization (PSO) are used for optimal sizing of the system. The optimal system has a Net Present Cost (NPC) of $52.3 M, 34 wind turbines, and 954 kW PV with conditions of 100% penetration and no restrictions on sales to the grid. FHO proposed 26 wind turbines and 780 kW PVs for Urla and 8 wind turbines, and 174 kW PVs for Karaburun. GWO proposed 25 wind turbines and 747 kW PVs for Urla, 9 wind turbines, and 165 PVs for Karaburun. PSO offered 24 wind turbines and 708 kW PVs for Urla, 10 wind turbines, and 246 kW PVs for Karaburun. When there is no sale to and 25% sales to the grid, it is seen that the optimal scenario is the system with a 50% penetration rate. In fully sale-constrained systems, NPCs are higher than the base system and they can never pay for themselves compared to the base system. It is concluded that smaller-sized systems are more suitable for systems with high constraints. The proposed FHO algorithm and GWO algorithm react to increasing penetration ratios by enlarging the system size in the regions with high load demand. PSO sizes the system like predictions by load demand. FHO reacts quicker to increasing penetrations than PSO and GWO. FHO algorithm is found to be usable to solve optimal power flow problems and optimal system sizing.

A Method for Medium and Long Term Electricity Consumption Forecasting in Regional Distribution Networks

Medium-term and long-term load forecasting is the basic data for formulating medium-term and long-term system maintenance plans and generation schedulings in the power system, and its prediction accuracy is crucial for the rationality of plan formulation. With the development of new energy generation units, a lot of distributed generation devices on the user side are connected to the distribution network, which harms the accuracy of load forecasting on distribution side. Therefore, a more accurate medium-term and long-term power forecasting method for the distribution network is needed. It is a primary problem for state grid to lack the historical electricity date. In response to this, some monthly electricity data are expanded by rolling daily electricity data. The diversity and multi-scale characteristics of factors affecting medium-term and long-term electricity demand limit the predictive performance of a single method. In response to this, a set empirical mode decomposition based on medium and long-term load electricity demand combination prediction method is proposed. Based on the fluctuation characteristics and patterns of each component after data decomposition, suitable prediction algorithms are used to predict each component separately, and finally, the predicted values of electricity demand are synthesized. The calculation results show that the prediction accuracy is effectively improved by the method of this paper.

Strategic analysis of body composition indices and resting platelet ATP levels in professional soccer players for better platelet-rich plasma therapy.

Background: Autologous platelet-rich plasma (PRP) therapy is ambiguously thought to be more effective in elite athletes than in sedentary patients, although the possible importance of recipient responsiveness remains poorly understood. To address this issue, along with the well-known PRP quality, in this initial study, we evaluated two candidate biomarkers: body composition indices (BCIs), which reflect systemic physical conditions, and resting platelet ATP levels, which reflect platelet energy expenditure and the mass of energy generation units. Methods: In this cross-sectional cohort study, blood samples were collected from male professional soccer players (PSPs) on a local professional team during the off-season and platelet ATP levels were quantified using an ATP luminescence assay kit. BCIs were measured using the body mass impedance method. Age-matched male sedentary participants were used as the controls. Results: Among the BCIs, the body mass index, basal metabolic rate (BMR), and skeletal muscle weight levels were higher in the PSPs than in the controls. The platelet ATP levels in the PSPs group were significantly lower than those in the control group. The correlation between BMR and platelet ATP levels was moderately negative in the control group, but weakly positive in the PSPs group. Conclusion: Owing to regular physical exercise, PSPs had higher BMR levels and lower platelet ATP levels without a significant mutual correlation compared to sedentary controls. This study did not indicate the influence of these biomarkers on the success of PRP therapy but provided evidence for a better understanding of PRP therapy, particularly for elite athletes.

Distributed dynamic event‐triggered control for resilience‐oriented current sharing in microgrid

AbstractDistributed dynamic event‐triggered control (ETC) method is proposed to solve the stochastic and intermittent problem caused by distributed renewable energy generation unit (DG) in microgrid (MG). It aims at reducing communication cost while achieving proportional current sharing among DGs. Firstly, the state space function model of the MG system is established, considering the unknown disturbance caused by DGs and the uncertainty caused by the constant power load (CPL). Also, the system model is transformed into the standard linear heterogeneous multiagent systems (LHMAS). Subsequently, the distributed dynamic ETC method with consensus algorithm is proposed to achieve proportional current sharing among DGs. Compared with conventional ETC approaches, the authors’ method is based on directed topology, which reduces the controller updating frequency and the communication frequency among DGs. At the same time, the Zeno behaviour can be avoided. Additionally, the authors’ method is much easier to be implemented, which can also handle the uncertain loads and CPLs. Finally, the simulation results demonstrate the effectiveness of the proposed method.

Development status evaluation and path analysis of regional clean energy power generation in China

Due to differences in resource endowments, levels of economic development, energy structure, and effects of policy implementation, the level of clean energy development in different regions in China is nonuniform. To achieve carbon peaking and carbon neutrality, it is necessary to clarify the law of clean energy development and formulate policies tailored to local conditions. Based on relevant data on clean energy power, this paper establishes a system for evaluating the levels of clean energy development in each region in China by the entropy method and quantitatively analyzes the key factors influencing regional clean energy development. Based on this, the development characteristics of clean energy in different regions are discussed, and four historical paths for developing clean energy are summarized. The findings reveal the following: (1) overall, clean energy development in most regions in China is proceeding at a satisfactory pace. The contribution of resource endowment to clean energy development is considerable in Southwest and Northwest China. (2) The paths involved in the regional development of clean energy can be categorized into rising, declining, stable, and fluctuating types. (3) Currently, clean energy development in China remains largely dependent on resource endowments and is restricted by the capacity of traditional large-scale energy generation units. (4) In the foreseeable future, a sound and effective trading mechanism for the clean energy market will play an important role in economically developed regions and promote a higher level of development and generation of clean energy.

Energy Storage Optimization Method for Flexible Interconnected Low-voltage Distribution Network Based on Positive Semi-definite Programming

With the fast development of the electricity market, the number of small and medium-sized new energy generation in the urban low-voltage distribution networks is increasing. These “retail investors” hope to sell the extra electricity for financial gain. However, these renewable energy generation units have small capacity and obvious intermittent output. Thus, they can not be added to the operation of the power system alone. In this paper, the model is understood from the perspective of optimization theory, and the solution method is given. The optimization problem of the model is given, and the required gradient and Hessian functions are defined. By applying mathematical induction and the properties of the special matrix column, a decomposition formula of the matrix column is derived. Through using this inequality and the standard decomposition of a positive semi-definite matrix, a feasible scheme is formed. The eigenvalue relationship between the sum of elements of a positive semi-definite block matrix and its quasi-diagonal block is given under certain conditions, while the number of such blocks is not required. The standard form of the dual problem is drawn by the method of Lagrange multipliers, and the relationship between the dual solution and the solution of the original problem is studied. The stability of the system is further improved, which provides reference significance for improving the utilization rate of photovoltaic new energy, optimizing the charging and discharging of the energy storage system, and ensuring the safe and reliable operation of the distribution network.

An innovative biomass-driven energy systems for green energy and freshwater production with less CO2 emission: Environmental and technical approaches

Considering the current crisis of fossil energies, the exploitation of renewables and green technologies is necessary and unavoidable. Additionally, the design and development of integrated energy systems with two or more output products and the maximum usage of thermal losses in order to improve efficiency can boost the yield and acceptability of the energy system. In this regard, this paper develops a comprehensive multi-aspect assessment of the operation of a new solar and biomass energies-driven multigeneration system (MGS). The main units installed in MGS are three electric energy generation units based on a gas turbine process, a solid oxide fuel cell unit (SOFCU) and an organic Rankine cycle unit (ORCU), a biomass energy conversion unit to useful thermal energy, a seawater conversion unit into useable freshwater, a unit for converting water and electricity into hydrogen energy and oxygen gas, a unit for converting solar energy into useful thermal energy (based on Fresnel collector), and a cooling load generation unit. The planned MGS has a novel configuration and layout that has not been considered by researchers recently. The current article is based on presenting a multi-aspect evaluation to study thermodynamic-conceptual, environmental and exergoeconomic analyzes. The outcomes indicated that the planned MGS can produce about 6.31 MW of electrical power and 0.49 MW of thermal power. Furthermore, MGS is able to produce various products such as potable water (∼0.977 kg/s), cooling load (∼0.16 MW), hydrogen energy (∼1.578 g/s) and sanitary water (∼0.957 kg/s). The total thermodynamic indexes were calculated as 78.13% and 47.72%, respectively. Also, the total investment and unit exergy costs were 47.16 USD per hour and 11.07 USD per GJ, respectively. Further, the content of CO2 emitted from the desgined system was equal to 10.59 kmol per MWh. A parametric study has been also developed to identify influencing parameters.

Operational risk assessment on power system based on weather regionalization considering power ramp of renewable energy generation

With the ever-increased installed capacity of renewable energy generation (REG) units, the power ramp of REG has become a common event, introducing an operational risk to the power system. In order to quantify the operational risk, this paper proposes a novel method for assessing the operational risk of power systems with a high proportion of renewable energy, taking into account the power ramp of REG. Firstly, a weather regionalization is proposed to divide the region of the power system into multiple areas, and then the weather data from the weather stations in these areas will be utilized to forecast the power of REG probabilistically. Moreover, an operational risk assessment model based on the cumulative prospect theory is built to reflect the irrational psychological factors of dispatchers, and two typical indices are introduced to show the operational risk of renewable energy curtailment and load curtailment caused by the power ramp of REG. Finally, numerical simulations are conducted in the actual CEPRI-RE power system in the northwest region of China, and the actual weather data from the meteorological agencies is used. The results show that the proposed method is able to assess the operational risk of the power system with a high proportion of renewable energy effectively, and achieve the early warning 30 min in advance. Besides, it can be found that the power system at the turning point between the power ramp and normal operation has a higher operational risk.

Application of nanomaterial based alkaline electrolyzer for hydrogen production in renewable energy-driven system: Multi-criteria assessment, environmental and exergoeconomic approaches

An alkaline electrolyzer is a traditional equipment to generate hydrogen. Improving the yield of electrolyzers has recently captured much attention. In this regard, the utilization of carbon-coated nanomaterial structures is a state-of-art method. On the other hand, considering the current crisis of fossil energies, the exploitation of renewables and green technologies is necessary and unavoidable. Additionally, the design and development of integrated energy systems with two or more output products and the maximum usage of thermal losses to enhance productivity can increase the flexibility and acceptability of the energy system. In this regard, the current paper develops a framework for the performance of a new solar and biomass energies-driven multigeneration system (MGS). The main units installed in MGS are three electric energy generation units based on a gas turbine process, a solid oxide fuel cell unit (SOFCU) and an organic Rankine cycle unit (ORCU), a biomass energy conversion unit to useful thermal energy, a seawater conversion unit into useable freshwater, a unit for converting water and electricity into hydrogen energy and oxygen gas via a nanomaterial-based alkaline electrolyzer, a unit for converting solar energy into useful thermal energy (based on Fresnel collector), and a cooling load generation unit. The planned MGS has a novel structure and layout that has not been considered by researchers in previous papers. The current article is based on presenting a multi-aspect evaluation in order to investigate thermodynamic-conceptual, environmental and exergoeconomic analyzes. The outcomes indicated that the planned MGS can produce about 6.31 MW of electrical power and 0.49 MW of thermal power. Furthermore, MGS is able to produce various products such as potable water (∼0.977 kg/s), cooling load (∼0.16 MW), hydrogen energy (∼1.578 g/s) and sanitary water (∼0.957 kg/s). The overall energy and exergy productivities were measured as 78.13% and 47.72%, respectively. Also, the total investment and unit exergy costs were 47.16 USD per hour and 11.07 USD per GJ, respectively. Further, the content of carbon dioxide released from the planned system was equal to 10.59 kmol per MWh. A parametric study has been also developed to identify influencing parameters.