Feasibility analysis on distributed energy system of Chongming County based on RETScreen software

Pan, Yu; Liu, Liuchen; Zhu, Tong; Zhang, Tao; Zhang, Junying

doi:10.1016/j.energy.2017.04.082

Cited by 45 publications

(8 citation statements)

References 30 publications

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“…Out of 41 software tools mentioned in [74] viz. HYBRID 2 [75], RETScreen [76], iHOGA [77], TRNSYS [78], and IPSYS; and 6 user-friendly tools [79]; HOMER (Hybrid Optimization of Multiple Electric Renewables) software is the most frequently used and highly recommended in various research studies. HOMER is a robust techno-economic optimization tool [45] which allows adaptability to analyze and simulate techno-economic models and design optimization of HRES units [45].…”

Section: Optimal Sizing and Economic Analysis Using Homer Promentioning

confidence: 99%

Residential Community Load Management Based on Optimal Design of Standalone HRES With Model Predictive Control

et al. 2020

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Microgrids being an important entity in the distribution system, and to get their full advantages by incorporating maximum distributed generation, standalone hybrid renewable energy systems (HRESs), being environmentally-safe and economically-efficient, are considered as the promising solution to electrify remote areas where the grid power is not available. In this work, a techno-economic investigation with an optimal design of HRES is presented to fulfill the domestic electricity need for a residential area of the Sherani district in the Province of Baluchistan, Pakistan. Nine case studies based on PV/wind/diesel/battery are analyzed based on net present cost (NPC), cost of energy (COE), and emission to decide the feasible solution. HOMER tool is utilized to accomplish modeling and simulation for economic analysis and optimal sizing. Simulation results demonstrated that HRES with PV-wind-battery is the most viable option for the specified area, and the optimal sizing of components are also obtained with $ 28,620 NPC and $ 0.311/kWh COE which shows 81.65 % reduction in cost and 100 % preserving in toxic emission while fulfilling 100 % energy demand with 67.3 % of excess energy. Furthermore, MATLAB/Simulink modeling for the optimally designed system is built for technical analysis while its effectiveness is proved by keeping dc and ac buses voltage constant, safe operating range of battery state of charge (SOC) with active power balance between HRES components, as well as efficient ac voltage quality, regardless of generation disturbances and load fluctuations. The output signal has total harmonic distortion (THD) of 0.30 % as compared to 5.44 % with the conventional control scheme. The novelty lies in the sequential application of both HOMER and MATLAB simulations of the proposed HRES model and validation of the proposition for the studied area; by using and implementing model predictive control (MPC) of a reconfigurable inverter. WT

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Section: Optimal Sizing and Economic Analysis Using Homer Promentioning

confidence: 99%

Residential Community Load Management Based on Optimal Design of Standalone HRES With Model Predictive Control

et al. 2020

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“…The analysis was conducted using the following financial parameters: inflation rate of 2 % and debt term of 15 years as used in [15], debt ratio of 70 % and discount rate of 9 %. Where: Co is the amount for the plant's equity investment, Cn the cost of the project in n years (this includes the operation and maintenance, installations, financial costs and fees), dreal represents the real discount rate, dnominal is the nominal discount rate (discount rate with inflation inclusive), N is the period for the analysis, Qn is the generated electricity by the project in year n.…”

Section: Methodsmentioning

confidence: 99%

Effect of Solar Tracking on the Economic Viability of a Large-Scale PV Power Plant

Agyekum

Afornu

Ansah

2020

Environmental and Climate Technologies

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This paper evaluated the economic potential of three different photovoltaic energy technologies at a selected site, Wa, in the Upper West region of Ghana. The cost of energy and net present value metrics were used to ascertain the cost-effectiveness of these technologies (fixed, single and double axis tracker systems). From the analysis, all three technologies are economically viable at the selected site, however, a sensitivity analysis shows that the fixed axis tracker is unviable at a discount rate above 2 % whiles that of the single and double axis power plants also become impracticable at a discount rate above 6 % using the financial input parameters adopted for the study. This is an indication that, even though the selected site may have the required solar radiation for the development of large-scale PV power plant, there is the need to create the necessary conducive financial environment to enable such projects to become viable. The double axis tracking system was identified as the optimum system that should be deployed at the selected site to get the best in terms of affordability of electricity to consumers and equity payback.

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“…RETScreen was developed to evaluate energy production, life-cycle costs, and the reduction of greenhouse gas emissions of various types of renewable energy systems [32][33][34][35][36]. In RETScreen, the performance of different types of renewable energy sources, including wind power [37,38], hydro power [39,40], PV [41][42][43], combined heat and power (CHP) [35], bio energy [44,45], solar heating [33,[46][47][48], and geothermal heating and cooling [49], can be evaluated. RETScreen allows users to compare the economic performance of conventional systems and RES alternative systems for optimal design.…”

Section: Design Tools For Res In Buildingsmentioning

confidence: 99%

Optimal Decision-Making of Renewable Energy Systems in Buildings in the Early Design Stage

Baek

Lee

2019

Sustainability

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Renewable energy systems (RES) in buildings should be designed carefully, not only because of the need for an optimal design, but also to comply with related laws. Therefore, the design of RES in the buildings requires close collaboration between architects and engineers from the beginning of the design process. To support such collaboration, this study proposes a simplified design method for RES in buildings during the early design stage. By using the proposed design method, design alternatives that meet the required energy standards as suggested by law are first generated. Further designs are made to evaluate the performance and cost of the design alternatives and to find the optimal types of RES for the building. The study also uses a case study to verify the applicability of the design method to the early design stage. Although the performance and cost of the different design alternatives are similar, the implementation of each type of RES in each design alternative is different. Nonetheless, by analyzing performance patterns and the cost ratio of each type of RES in each design alternative, the study allows the most suitable type of RES to be chosen for the building.

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Feasibility analysis on distributed energy system of Chongming County based on RETScreen software

Cited by 45 publications

References 30 publications

Residential Community Load Management Based on Optimal Design of Standalone HRES With Model Predictive Control

Residential Community Load Management Based on Optimal Design of Standalone HRES With Model Predictive Control

Effect of Solar Tracking on the Economic Viability of a Large-Scale PV Power Plant

Optimal Decision-Making of Renewable Energy Systems in Buildings in the Early Design Stage

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