Development of a clean power plant integrated with a solar farm for a sustainable community

Seyam, Shaimaa; Dinçer, İbrahim; Agelin‐Chaab, Martin

doi:10.1016/j.enconman.2020.113434

Cited by 31 publications

(19 citation statements)

References 29 publications

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“…The energy equilibrium equations of the heat exchangers are calculated as follows 43 :

\begin{array}{c}{Q}_{\mathrm{hot}}=\sum {m}_{\mathrm{hot}}({h}_{\mathrm{out},\mathrm{hot}}-{h}_{\mathrm{in},\mathrm{hot}}),\\ {Q}_{\mathrm{cold}}=\sum {m}_{\mathrm{cold}}({h}_{\mathrm{in},\mathrm{cold}}-{h}_{\mathrm{out},\mathrm{cold}})={Q}_{\mathrm{hot}}.\end{array}

…”

Section: Process Simulationmentioning

confidence: 99%

“…Regarding the energy equilibrium and mass conservation in separators and valves, the equilibrium equations are given as follows 43 :

{m}_{\mathrm{in},{\rm{S}}}={m}_{\mathrm{out},1{\rm{S}}}+{m}_{\mathrm{out},2{\rm{S}}},

{m}_{\mathrm{in},{\rm{S}}}{h}_{\mathrm{in},{\rm{S}}}={m}_{\mathrm{out},1{\rm{S}}}{h}_{\mathrm{out},1{\rm{S}}}+{m}_{\mathrm{out},2{\rm{S}}}{h}_{\mathrm{out},2{\rm{S}}},

{h}_{\mathrm{in},{\rm{V}}}={h}_{\mathrm{out},{\rm{V}}}.

…”

Section: Process Simulationmentioning

confidence: 99%

“…Regarding the energy equilibrium and mass conservation in separators and valves, the equilibrium equations are given as follows 43 :…”

Section: Energy Analysismentioning

confidence: 99%

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An innovative integrated CCHP system with water scrubbing‐based biogas upgrading unit and molten carbonate fuel cell

Ghorbani

Ebrahimi

Skandarzadeh

2022

Energy Science & Engineering

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The main purpose of this study is to develop an integrated structure of simultaneous generation of electricity and refrigeration as the main product and hot water as a by-product. This proposed structure consists of a water scrubbing biogas upgrading process, molten carbonate fuel cell (MCFC) unit, gas/ steam power (GSP) cycle, and absorption refrigeration (AR) system. In this regard, 10.71 kg/s untreated biogas enters the integrated system and 158,351 kW net power is produced. Wasted heat of the structure is utilized to generate cooling of 253.9 kW at a temperature of 243.6 K by applying the AR system and the rest of the heat is used to generate 8.391 kg/s hot water as the system byproducts. The process integration between the different parts has led to an increase in the thermal efficiency of the whole system so that the electrical and overall efficiencies are 78.68% and 79.86%, respectively. The investigation of the exergy study demonstrates that the exergy destruction of the entire structure is 71,859 kW, of which the turbine/compressor/pump section with 24,700 kW (with a share of 34.37% of the total) and MCFC/reformer section with 22,285 kW (with a share of 31.01% of the total) have the most irreversibility. The exergy efficiency of the hybrid structure is 71.06%. Through a parametric study, the present integrated system in various conditions is assessed. One of the results of main outcomes is the increase of overall efficiency up to 83.39% due to the reduction of inlet biogas methane mole content up to 50%. Rising the methane in inlet biogas, although leading to more production of system products, reduces the efficiencies of various parts of the system, including the MCFC unit and GSP cycle, as well as integrated system total efficiency. K E Y W O R D Sabsorption refrigeration cycle, biogas upgrading cycle, combined power plant, exergy analysis, molten carbonate fuel cell

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“…The energy equilibrium equations of the heat exchangers are calculated as follows 43 :

\begin{array}{c}{Q}_{\mathrm{hot}}=\sum {m}_{\mathrm{hot}}({h}_{\mathrm{out},\mathrm{hot}}-{h}_{\mathrm{in},\mathrm{hot}}),\\ {Q}_{\mathrm{cold}}=\sum {m}_{\mathrm{cold}}({h}_{\mathrm{in},\mathrm{cold}}-{h}_{\mathrm{out},\mathrm{cold}})={Q}_{\mathrm{hot}}.\end{array}

…”

Section: Process Simulationmentioning

confidence: 99%

“…Regarding the energy equilibrium and mass conservation in separators and valves, the equilibrium equations are given as follows 43 :

{m}_{\mathrm{in},{\rm{S}}}={m}_{\mathrm{out},1{\rm{S}}}+{m}_{\mathrm{out},2{\rm{S}}},

{m}_{\mathrm{in},{\rm{S}}}{h}_{\mathrm{in},{\rm{S}}}={m}_{\mathrm{out},1{\rm{S}}}{h}_{\mathrm{out},1{\rm{S}}}+{m}_{\mathrm{out},2{\rm{S}}}{h}_{\mathrm{out},2{\rm{S}}},

{h}_{\mathrm{in},{\rm{V}}}={h}_{\mathrm{out},{\rm{V}}}.

…”

Section: Process Simulationmentioning

confidence: 99%

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An innovative integrated CCHP system with water scrubbing‐based biogas upgrading unit and molten carbonate fuel cell

Ghorbani

Ebrahimi

Skandarzadeh

2022

Energy Science & Engineering

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“…Over the last several decades, energy policy in the world has presented a conspicuous tendency of increase in utilization of renewable energy sources for power generation. The underlying reasons of new trend can be summarized as depletion of unsustainable energy resources, environmental considerations, energy supply-demand security, technological advances in renewable energy [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Unity Proportional Gain Resonant and Gain Scheduled Proportional (PR-P) Controller-Based Variable Perturbation Size Real-Time Adaptive Perturb and Observe (P&O) MPPT Algorithm for PV Systems

Yanarateş¹,

Wang

Zhou

2021

IEEE Access

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In this paper, Proportional Gain Resonant and Gain Scheduled Proportional (PR-P) Controller based variable perturbation size real-time adaptive perturb and observe (P&O) maximum power point tracking (MPPT) algorithm is presented. The proposed control scheme resolved the drawbacks of conventional P&O MPPT method associated with the use of constant perturbation size that leads to poor transient response and high continuous steady-state oscillations. The prime objective of using the PR-P controller is to utilize inherited properties of the signal produced by the controller's resonant path and integrate it to update best estimated perturbation that represents the working principle of extremum seeking control (ESC) to use in P&O algorithm that characterizes the overall system learning-based real time adaptive (RTA). Additionally, utilization of internal dynamics of the PR-P controller overcome the challenges namely, complexity, computational burden, implantation cost and slow tracking performance in association with commonly used soft computing intelligent systems and adaptive control strategies. The proposed control scheme is verified using MATLAB/Simulink by applying comparative analysis with PI controlled conventional P&O MPPT algorithm. Moreover, performance of the proposed control scheme is validated experimentally with the implementation of MATLAB/Simulink/Stateflow on dSPACE Real-time-interface (RTI) 1007 processor board, DS2004 A/D and CP4002 Digital I/O boards. The experimental results and analysis reveal that the proposed control strategy enhanced the tracking speed five times with reduced steadystate oscillations around maximum power point (MPP) and more than 99% energy extracting efficiency.INDEX TERMS Enhanced adaptive P&O MPPT, extremum seeking control, photovoltaic emulator, proportional resonant controller, state-space averaging, time and frequency domain analysis.

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“…Over the last two decades, energy generation has shown a great tendency to utilize the renewable sources due to the facts that depletion of the fossil fuels, increasing concern of the environmental issues, energy security, productivity growth and reduction of the overall cost of power generationdistribution systems as a result of technological developments [1], [2]. Photovoltaic (PV) energy is a clean, renewable source of direct current (DC) energy generated from the sunlight, which attracts considerable attention due to remarkable advantages such as reliability and long-life, advanced manufacturing process, static and noise-free operations, increasing efficiency, decreasing prices, flexibility of construction and availability of government support and incentives [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Symmetrical Pole Placement Method-Based Unity Proportional Gain Resonant and Gain Scheduled Proportional (PR-P) Controller With Harmonic Compensator for Single Phase Grid-Connected PV Inverters

Yanarateş

Zhou

2021

IEEE Access

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In this paper, a symmetrical pole placement Method-based Unity Proportional Gain Resonant and Gain Scheduled Proportional (PR-P) Controller is presented. The proposed PR-P controller resolved the issues that are tracking repeating control input signal with zero steady-state and mitigating of 3rd order harmonic component injected into the grid associated with the use of PI controller for single-phase PV systems. Additionally, the PR-P controller has overcome the drawbacks of frequency detuning in the grid and increase in the magnitude of odd number harmonics in the system that constitute the common concerns in the implementation of conventional PR controller developed as an alternative to PI controller. Moreover, the application of an unprecedented design process based on changing notch filter dynamics with symmetrical pole placement around resonant frequency overcomes the limitations that are essentially complexity and dependency on the precisely modelled system associated with the use of various controllers such as Adaptive, Predictive and Hysteresis in grid connected PV power generation systems. The proposed PR-P controller was validated employing Photovoltaic emulator (PVE) consisting of a DC-DC Buck power converter, a maximum power point tracking (MPPT) algorithm and a full-bridge grid connected inverter designed using MATLAB/Simulink system platform. Details of the proposed controller, Photovoltaic emulator (PVE) simulations, analysis and test results were presented in the paper.

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Development of a clean power plant integrated with a solar farm for a sustainable community

Cited by 31 publications

References 29 publications

An innovative integrated CCHP system with water scrubbing‐based biogas upgrading unit and molten carbonate fuel cell

An innovative integrated CCHP system with water scrubbing‐based biogas upgrading unit and molten carbonate fuel cell

Unity Proportional Gain Resonant and Gain Scheduled Proportional (PR-P) Controller-Based Variable Perturbation Size Real-Time Adaptive Perturb and Observe (P&O) MPPT Algorithm for PV Systems

Symmetrical Pole Placement Method-Based Unity Proportional Gain Resonant and Gain Scheduled Proportional (PR-P) Controller With Harmonic Compensator for Single Phase Grid-Connected PV Inverters

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