scholarly journals A Techno-Economic Feasibility Analysis of Mono-Si and Poly-Si Photovoltaic Systems in the Rooftop Area of Commercial Building under the Feed-In Tariff Scheme

2021 ◽  
Vol 13 (9) ◽  
pp. 4709
Author(s):  
Ke Shi ◽  
Chuangyi Li ◽  
Choongwan Koo
Keyword(s):  
Solar Radiation ◽  
Economic Feasibility ◽  
Energy Yield ◽  
Commercial Building ◽  
Pv System ◽  
Pv Systems ◽  
Life Cycle Perspective ◽  
Two Phases ◽  
Installed Capacity ◽  
Feed In Tariff

Hong Kong’s government has recently introduced the feed-in tariff scheme to promote the photovoltaic (PV) system as a promising way to address global warming. The feed-in tariff scheme depends on the type of the PV system and its installed capacity. This study aimed to investigate the techno-economic feasibility of mono-Si and poly-Si PV systems in the rooftop area of a commercial building, Pao Yue-Kong Library of Hong Kong, under the feed-in tariff scheme. The analysis was carried out in two phases: (i) technical analysis of the rooftop PV systems by considering the shading effect and solar radiation and (ii) economic feasibility of the rooftop PV systems under the feed-in tariff scheme from the life cycle perspective. The main findings of the case study can be summarized: (i) the rooftop area of the target building would not be significantly affected by surrounding buildings; (ii) the highest amount of solar radiation was estimated at 136.96 kWh/m2 in October, while the lowest value was 55.64 kWh/m2 in February; (iii) the total amount of module energy yield from the mono-Si PV system was estimated at 917.58 kWh/kW, indicating that it was very similar but a little bit lower (i.e., 0.48%) than that for the poly-Si PV system (i.e., 921.98 kWh/kW); and (iv) payback periods for mono-Si and poly-Si PV systems were estimated at 8.67 and 8.31 years, respectively. The feasibility study can contribute to providing facility managers with a practical guideline to determine the appropriate strategy in implementing the PV systems in buildings under the feed-in tariff scheme.

scholarly journals Reconfigurable Distributed Power Electronics Technique for Solar PV Systems

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1121
Author(s):  
Kamran Ali Khan Niazi ◽  
Yongheng Yang ◽  
Tamas Kerekes ◽  
Dezso Sera
Keyword(s):  
Energy Yield ◽  
Solar Pv ◽  
Charge Redistribution ◽  
Pv System ◽  
Partial Shading ◽  
Pv Systems ◽  
Simulation Based ◽  
In Series ◽  
A Cell ◽  
Power Balancing

A reconfiguration technique using a switched-capacitor (SC)-based voltage equalizer differential power processing (DPP) concept is proposed in this paper for photovoltaic (PV) systems at a cell/subpanel/panel-level. The proposed active diffusion charge redistribution (ADCR) architecture increases the energy yield during mismatch and adds a voltage boosting capability to the PV system under no mismatch by connected the available PV cells/panels in series. The technique performs a reconfiguration by measuring the PV cell/panel voltages and their irradiances. The power balancing is achieved by charge redistribution through SC under mismatch conditions, e.g., partial shading. Moreover, PV cells/panels remain in series under no mismatch. Overall, this paper analyzes, simulates, and evaluates the effectiveness of the proposed DPP architecture through a simulation-based model prepared in PSIM. Additionally, the effectiveness is also demonstrated by comparing it with existing conventional DPP and traditional bypass diode architecture.

scholarly journals Evaluation of Contribution of PV Array and Inverter Configurations to Rooftop PV System Energy Yield Using Machine Learning Techniques

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3158 ◽  
Author(s):  
Ngoc Thien Le ◽  
Watit Benjapolakul
Keyword(s):  
Machine Learning ◽  
Investment Decision ◽  
High Volume ◽  
Machine Learning Techniques ◽  
Energy Yield ◽  
Pv System ◽  
Useful Knowledge ◽  
Pv Systems ◽  
Learning Techniques ◽  
The Difference

Rooftop photovoltaics (PV) systems are attracting residential customers due to their renewable energy contribution to houses and to green cities. However, customers also need a comprehensive understanding of system design configuration and the related energy return from the system in order to support their PV investment. In this study, the rooftop PV systems from many high-volume installed PV systems countries and regions were collected to evaluate the lifetime energy yield of these systems based on machine learning techniques. Then, we obtained an association between the lifetime energy yield and technical configuration details of PV such as rated solar panel power, number of panels, rated inverter power, and number of inverters. Our findings reveal that the variability of PV lifetime energy is partly explained by the difference in PV system configuration. Indeed, our machine learning model can explain approximately 31 % ( 95 % confidence interval: 29–38%) of the variant energy efficiency of the PV system, given the configuration and components of the PV system. Our study has contributed useful knowledge to support the planning and design of a rooftop PV system such as PV financial modeling and PV investment decision.

scholarly journals Design and Simulation of a PV System Operating in Grid-Connected and Stand-Alone Modes for Areas of Daily Grid Blackouts

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Moien A. Omar ◽  
Marwan M. Mahmoud
Keyword(s):  
Solar Radiation ◽  
State Of Charge ◽  
Performance Ratio ◽  
Energy Yield ◽  
Real Problem ◽  
Storage Battery ◽  
Pv System ◽  
Daily Energy ◽  
Battery State Of Charge ◽  
Continuous Power

The electricity in Gaza, Palestine, is limited and scheduled for 4-10 hours per day due to political reasons. This status represents a real problem for different sectors. This paper presents an effective solution especially for the energy supply problem in the residential sector by using an unconventional PV system which operates in stand-alone and grid-connected modes. The system includes a storage battery block with a proper capacity to secure for continuous power supply of a residential house with a daily energy load of 10 kWh. It was found that an unconventional PV system of 3.2 kWp and a storage battery block of 19.2 kWh will be able to cover the total daily energy demands of the house including the outlined electricity cutoff hours. The design of this system and specifics of its components are presented in this paper. The system was simulated by Matlab software, where the daily load curve, grid cutoff hours, and the monthly solar radiation are considered. The obtained simulation results show that the produced PV energy exceeds the load demands during nine months of the year, and thereby, a high battery state of charge (SOC) in the range of 73-84% is achieved. During the three months of the lowest solar radiation (Dec.-Feb.), the produced PV energy is equal to the load demand while the battery state of charge varies in the range of 40-49% which verifies the appropriateness of the proposed PV system. The daily energy yield of the PV system varies between 2.6 and 5.4 kWh/kWp in January and July, respectively, which corresponds to a performance ratio of 90% and 66.25%, respectively.

scholarly journals A Measure of Capacity Contribution of Static Mono-Si Photovoltaic Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Constantinos Varnavas ◽  
Andreas Poullikkas
Keyword(s):  
Load Capacity ◽  
Load Factor ◽  
Photovoltaic Systems ◽  
High Demand ◽  
Pv System ◽  
Pv Systems ◽  
Mediterranean Countries ◽  
Load Factors ◽  
High System ◽  
Installed Capacity

Photovoltaic (PV) systems generate electricity in the daytime when system demand is generally moderate to high. For Mediterranean countries, there is also seasonal coincidence of high system demand and high PV load factors. The present study quantifies the above statements by calculating the load factor of the PV system when system demand is high (above 90–99% of the maximum demand of the month). The percentage of time the PV load factor is above 90% for these periods of maximum demand is evaluated. The PV load capacity contribution is defined in this study as the minimum PV load factor during these periods of high demand. Actual generation data from a static (without tracking) mono-Si PV system, recorded every half hour for the year 2010 are compared to system demand data. The seasonality analysis indicates that PV contribution to capacity is only significant during the months May–October. For the months November–April, when daily demand peak occurs during the evening, PVs do not contribute towards capacity. The evaluated capacity contribution of PV systems depends on the threshold of maximum demand considered (90%–99%). For the threshold of 95%, the capacity contribution for May–October ranges between 27%–41% of PV installed capacity.

scholarly journals Solar Assisted Power Generation System in Hot Desert Climate: A Cost-Benefit Perspective

2021 ◽  
Author(s):  
Ramzi Alahmadi ◽  
◽  
Kamel Almutairi ◽  
Keyword(s):  
Solar Energy ◽  
Fossil Fuels ◽  
Cost Benefit ◽  
Energy Systems ◽  
Clean Energy ◽  
Economic Feasibility ◽  
Economic Viability ◽  
Solar Pv ◽  
Pv System ◽  
Pv Systems

With the increasing global concerns about greenhouse gas emissions caused by the extensive use of fossil fuels, many countries are investing in the deployment of clean energy sources. The utilization of abundant solar energy is one of the fastest growing deployed renewable sources due its technological maturity and economic competitivity. In addition to report from the National Renewable Energy Laboratory (NREL), many studies have suggested that the maturity of solar energy systems will continue to develop, which will increase their economic viability. The focus of analysis in this paper is countries with hot desert climates since they are the best candidates for solar energy systems. The capital of Saudi Arabia, Riyadh is used as the case study due to the country’s ambitious goals in this field. The main purpose of this study is to comprehensively analyze the stochastic behavior and probabilistic distribution of solar irradiance in order to accurately estimate the expected power output of solar systems. A solar Photovoltaic (PV) module is used for the analysis due to its practicality and widespread use in utility-scale projects. In addition to the use of a break-even analysis to estimate the economic viability of solar PV systems in hot desert climates, this paper estimates the indifference point at which the economic feasibility of solar PV systems is justified, compared with the fossil-based systems. The numerical results show that the break-even point of installing one KW generation capacity of a solar PV system is estimated to pay off after producing 16,827 KWh, compared to 15,422 KWh for the case of fossil-based systems. However, the increased cost of initial investment in solar PV systems deployment starts to be economically justified after producing 41,437 KWh.

scholarly journals Economic Feasibility of Agricultural Biogas Production by Farms in Ukraine

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 87
Author(s):  
Galyna Trypolska ◽  
Sergii Kyryziuk ◽  
Vitaliy Krupin ◽  
Adam Wąs ◽  
Roman Podolets
Keyword(s):  
Biogas Production ◽  
Agricultural Waste ◽  
Energy Generation ◽  
Two Dimensions ◽  
State Regulation ◽  
Economic Feasibility ◽  
Special Focus ◽  
Renewable Energy Generation ◽  
Installed Capacity ◽  
Feed In Tariff

Renewable energy generation in Ukraine is developing slower than state strategies and expectations, with the installations for energy generation based on biogas currently being among the lowest in terms of installed capacity. Most of those involved in energy generation from agricultural biogas are large enterprises, while the small and medium-sized farms are far less involved. Thus the article aims to assess the economic feasibility of biogas production from agricultural waste by specific farm types and sizes, with a special focus on small and medium-sized farms. The research results present findings in two dimensions, first defining the economic feasibility of biogas installations in Ukraine based on investment costs and the rate of return at both the current and potential feed-in tariff, and second, analyzing the influence of state regulation and support on the economic feasibility of agricultural biogas production in Ukraine. The results emphasize that the construction of small generation capacities does not provide sufficient funds under the current feed-in tariff to meet the simple return period expected by the domestic financing institutions. Except for the general support programs for agricultural activities, there are no support funds specifically for biogas producers, while there is tight competition with wind and solar energy due to diversified feed-in tariffs.

scholarly journals Loss Reduction in Isolated Rural Area Distribution Network Using Photovoltaic System

2015 ◽  
Vol 12 (2) ◽  
pp. 51
Author(s):  
M. H. Albadi ◽  
N.A. Al-Mashaikhi ◽  
S. Al-Hinai ◽  
R. S. Al-Abri ◽  
A.S. Al-Hinai ◽  
...  
Keyword(s):  
Rural Area ◽  
Power Flow ◽  
Flow Model ◽  
Photovoltaic System ◽  
Network Data ◽  
Loss Reduction ◽  
Pv System ◽  
Pv Systems ◽  
Area Distribution ◽  
Installed Capacity

This paper investigates the utilization of photovoltaic (PV) systems in a rural area electricity network. The Rural Area Electricity Company of Oman is planning to install a 304 kW PV system at the powerhouse of the Almazyonah network. Based on the available network data, a power flow model of the system under study was built and the system’s performance was studied. The location and installed capacity of the planned PV system were optimized based on loss reduction.  

scholarly journals Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis

2018 ◽  
Vol 10 (9) ◽  
pp. 3117 ◽  
Author(s):  
Federica Cucchiella ◽  
Idiano D’Adamo ◽  
Massimo Gastaldi ◽  
Vincenzo Stornelli
Keyword(s):  
Energy Storage ◽  
Net Present Value ◽  
Storage System ◽  
Residential Building ◽  
Weather Conditions ◽  
Energy Storage System ◽  
Economic Feasibility ◽  
Pv System ◽  
Pv Systems ◽  
Profitability Analysis

Renewable energy is a wide topic in environmental engineering and management science. Photovoltaic (PV) power has had great interest and growth in recent years. The energy produced by the PV system is intermittent and it depends on the weather conditions, presenting lower levels of production than other renewable resources (RESs). The economic feasibility of PV systems is linked typically to the share of self-consumption in a developed market and consequently, energy storage system (ESS) can be a solution to increase this share. This paper proposes an economic feasibility of residential lead-acid ESS combined with PV panels and the assumptions at which these systems become economically viable. The profitability analysis is conducted on the base of the Discounted Cash Flow (DCF) method and the index used is Net Present Value (NPV). The analysis evaluates several scenarios concerning a 3-kW plant located in a residential building in a PV developed market (Italy). It is determined by combinations of the following critical variables: levels of insolation, electricity purchase prices, electricity sales prices, investment costs of PV systems, specific tax deduction of PV systems, size of batteries, investment costs of ESS, lifetime of a battery, increases of self-consumption following the adoption of an ESS, and subsidies of ESS. Results show that the increase of the share of self-consumption is the main critical variable and consequently, the break-even point (BEP) analysis defines the case-studies in which the profitability is verified.

scholarly journals Potential and Economic Analysis of Solar-to-Hydrogen Production in the Sultanate of Oman

2021 ◽  
Vol 13 (17) ◽  
pp. 9516
Author(s):  
Razzaqul Ahshan
Keyword(s):  
Hydrogen Production ◽  
Sustainable Energy ◽  
Energy Sector ◽  
Economic Feasibility ◽  
Influential Factor ◽  
Solar Pv ◽  
Sultanate Of Oman ◽  
Pv System ◽  
Pv Systems ◽  
Renewable Power

Hydrogen production using renewable power is becoming an essential pillar for future sustainable energy sector development worldwide. The Sultanate of Oman is presently integrating renewable power generations with a large share of solar photovoltaic (PV) systems. The possibility of using the solar potential of the Sultanate can increase energy security and contribute to the development of the sustainable energy sector not only for the country but also for the international community. This study presents the hydrogen production potential using solar resources available in the Sultanate. About 15 locations throughout the Sultanate are considered to assess the hydrogen production opportunity using a solar PV system. A rank of merit order of the locations for producing hydrogen is identified. It reveals that Thumrait and Marmul are the most suitable locations, whereas Sur is the least qualified. This study also assesses the economic feasibility of hydrogen production, which shows that the levelized cost of hydrogen (LCOH) in the most suitable site, Thumrait, is 6.31 USD/kg. The LCOH in the least convenient location, Sur, is 7.32 USD/kg. Finally, a sensitivity analysis is performed to reveal the most significant influential factor affecting the future’s green hydrogen production cost. The findings indicate that green hydrogen production using solar power in the Sultanate is promising, and the LCOH is consistent with other studies worldwide.

scholarly journals Energy Yield of Tracking PV Systems in Jordan

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
A. Al Tarabsheh ◽  
I. Etier ◽  
A. Nimrat
Keyword(s):  
Tracking System ◽  
Global Radiation ◽  
System Optimization ◽  
Energy Yield ◽  
Pv System ◽  
Pv Systems ◽  
Pv Modules ◽  
Inclination Angles ◽  
Simulation Results ◽  
The One

This paper analyzes the energy yield of photovoltaic (PV) modules mounted on fixed tilt, one-axis, and two-axis tracking system towards maximizing the annual energy production. The performance evaluation of the proposed design of the tracking systems is carried via simulating the global radiation averages using METEONORM software and depicting the simulation results in figures using MATLAB software. The one-axis system is simulated by either fixing the azimuth angle while optimizing the inclination angles or fixing the inclination angle while optimizing the azimuth angles; simulation results show an increase in energy yield of 5.87% and 20.12% compared to that of fixed tilt system, respectively. In the two-axis system, optimization of both azimuth and inclination angles is carried out simultaneously which resulted in 30.82% improvement in energy yield. Therefore, 30% improvement in energy yield is directly reflected as saving in PV system cost due to reduction of the PV modules surface area.

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