scholarly journals Comparing the impact of climate on dust accumulation and power generation of PV modules: A comprehensive review

2022 ◽  
Vol 66 ◽  
pp. 238-270
Author(s):  
Tahereh Zarei ◽  
Morteza Abdolzadeh ◽  
Mahmood Yaghoubi
Keyword(s):  
Power Generation ◽  
Comprehensive Review ◽  
Pv Modules ◽  
The Impact ◽  
Dust Accumulation

The Impact Mitigation of Partial Shading on PV Array Power Generation

2015 ◽  
Vol 781 ◽  
pp. 267-271
Author(s):  
Santisouk Phiouthonekham ◽  
Anucha Lekkruasuwan ◽  
Surachai Chaitusaney
Keyword(s):  
Power Generation ◽  
Solar Irradiation ◽  
Testing System ◽  
Partial Shading ◽  
Pv Array ◽  
Pv Module ◽  
Time Period ◽  
Current Voltage ◽  
Pv Modules ◽  
The Impact

The impact of partial shading on photovoltaic (PV) array is discussed in this paper. The partial shading on PV array can significantly decrease the power generation of PV array. This study examines the modeling of PV module which relates with solar irradiation, temperature, and shading pattern. There are different shading patterns on PV array, such as one-string shading, two-strings shading, and much more. The characteristics of current-voltage (I-V) and voltage-power (V-P) curves for each individual the PV array can be different dependent on the multiple MPPs, maximum power points (MPPs). These multiple MPPs are basically lower than the MPP in case of no shading. Therefore, the total generated energy in an interested time period is usually reduced. As a result, this paper proposes the appropriate arrangement of PV modules in a PV array in order to mitigate the impact of partial shading. Finally, the proposed arrangement of PV modules is tested in a testing system. All the obtained results confirms that the proposed arrangement of PV modules is effective and can be applied in practice.

scholarly journals Decarbonization of Residential Building Energy Supply: Impact of Cogeneration System Performance on Energy, Environment, and Economics

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2538
Author(s):  
Praveen K. Cheekatamarla
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Energy Consumption ◽  
Carbon Footprint ◽  
Residential Buildings ◽  
Building Energy ◽  
Primary Energy ◽  
Primary Energy Consumption ◽  
Cogeneration System ◽  
The Impact

Electrical and thermal loads of residential buildings present a unique opportunity for onsite power generation, and concomitant thermal energy generation, storage, and utilization, to decrease primary energy consumption and carbon dioxide intensity. This approach also improves resiliency and ability to address peak load burden effectively. Demand response programs and grid-interactive buildings are also essential to meet the energy needs of the 21st century while addressing climate impact. Given the significance of the scale of building energy consumption, this study investigates how cogeneration systems influence the primary energy consumption and carbon footprint in residential buildings. The impact of onsite power generation capacity, its electrical and thermal efficiency, and its cost, on total primary energy consumption, equivalent carbon dioxide emissions, operating expenditure, and, most importantly, thermal and electrical energy balance, is presented. The conditions at which a cogeneration approach loses its advantage as an energy efficient residential resource are identified as a function of electrical grid’s carbon footprint and primary energy efficiency. Compared to a heat pump heating system with a coefficient of performance (COP) of three, a 0.5 kW cogeneration system with 40% electrical efficiency is shown to lose its environmental benefit if the electrical grid’s carbon dioxide intensity falls below 0.4 kg CO2 per kWh electricity.

The impact of air pollution on skin and related disorders: A comprehensive review

2021 ◽  
Author(s):  
Ruhollah Abolhasani ◽  
Farnaz Araghi ◽  
Mohammadreza Tabary ◽  
Armin Aryannejad ◽  
Baharnaz Mashinchi ◽  
...  
Keyword(s):  
Air Pollution ◽  
Comprehensive Review ◽  
The Impact

scholarly journals A Statistical Modeling Methodology for Long-Term Wind Generation and Power Ramp Simulations in New Generation Locations

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2442 ◽  
Author(s):  
Jussi Ekström ◽  
Matti Koivisto ◽  
Ilkka Mellin ◽  
Robert Millar ◽  
Matti Lehtonen
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Statistical Modeling ◽  
Renewable Energy Sources ◽  
Measurement Data ◽  
Wind Power Generation ◽  
System Level ◽  
Wind Generation ◽  
The Impact

In future power systems, a large share of the energy will be generated with wind power plants (WPPs) and other renewable energy sources. With the increasing wind power penetration, the variability of the net generation in the system increases. Consequently, it is imperative to be able to assess and model the behavior of the WPP generation in detail. This paper presents an improved methodology for the detailed statistical modeling of wind power generation from multiple new WPPs without measurement data. A vector autoregressive based methodology, which can be applied to long-term Monte Carlo simulations of existing and new WPPs, is proposed. The proposed model improves the performance of the existing methodology and can more accurately analyze the temporal correlation structure of aggregated wind generation at the system level. This enables the model to assess the impact of new WPPs on the wind power ramp rates in a power system. To evaluate the performance of the proposed methodology, it is verified against hourly wind speed measurements from six locations in Finland and the aggregated wind power generation from Finland in 2015. Furthermore, a case study analyzing the impact of the geographical distribution of WPPs on wind power ramps is included.

Potential Impacts of Net-Zero Energy Buildings With Distributed Photovoltaic (PV) Power Generation on the Electrical Grid

2018 ◽  
Author(s):  
Dongsu Kim ◽  
Heejin Cho ◽  
Rogelio Luck
Keyword(s):  
Power Generation ◽  
Electricity Demand ◽  
Office Buildings ◽  
Office Building ◽  
Electrical Grid ◽  
Net Zero ◽  
Demand Profile ◽  
The Impact ◽  
Pv Power Generation ◽  
The U.S

This study evaluates potential aggregate effects of net-zero energy building (NZEB) implementations on the electrical grid in simulation-based analysis. Many studies have been conducted on how effective NZEB designs can be achieved, however the potential impact of NZEBs have not been explored sufficiently. As significant penetration of NZEBs occurs, the aggregated electricity demand profile of the buildings on the electrical grid would experience dramatic changes. To estimate the impact of NZEBs on the electrical grid, a simulation-based study of an office building with a grid-tied PV power generation system is conducted. This study assumes that net-metering is available for NZEBs such that the excess on-site PV generation can be fed to the electrical grid. The impact of electrical energy storage (EES) within NZEBs on the electrical grid is also considered in this study. Finally, construction weighting factors of the office building type in U.S. climate zones are used to estimate the number of national office buildings. In order to consider the adoption of NZEBs in the future, this study examines scenarios with 20%, 50%, and 100% of the U.S. office building stock are composed of NZEBs. Results show that annual electricity consumption of simulated office buildings in U.S. climate locations includes the range of around 85 kWh/m2-year to 118 kWh/m2-year. Each simulated office building employs around 242 kWp to 387 kWp of maximum power outputs in the installation of on-site PV power systems to enable NZEB balances. On a national scale, the daily on-site PV power generation within NZEBs can cover around 50% to 110% of total daily electricity used in office buildings depending on weather conditions. The peak difference of U.S. electricity demand typically occurs when solar radiation is at its highest. The peak differences from the actual U.S. electricity demand on the representative summer day show 9.8%, 4.9%, and 2.0% at 12 p.m. for 100%, 50%, and 20% of the U.S. NZEB stocks, respectively. Using EES within NZEBs, the peak differences are reduced and shifted from noon to the beginning of the day, including 7.7%, 3.9%, and 1.5% for each percentage U.S. NZEB stock. NZEBs tend to create the significant curtailment of the U.S. electricity demand profile, typically during the middle of the winter day. The percentage differences at a peak point (12 p.m.) are 8.3%, 4.2%, and 1.7% for 100%, 50%, and 20% of the U.S. NZEB stocks, respectively. However, using EES on the representative winter day can flatten curtailed electricity demand curves by shifting the peak difference point to the beginning and the late afternoon of the day. The shifted peak differences show 7.4%, 3.7%, and 1.5% at 9 a.m. for three U.S. NZEB stock scenarios, respectively.

scholarly journals Barbados towards 100% Renewable Energy: Case Scenarios for 2030 National Energy Target Plans

2021 ◽  
Vol 44 (1) ◽  
pp. 11-17
Author(s):  
Sheldon Marshall ◽  
Randy Koon Koon
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Energy Security ◽  
Fossil Fuel ◽  
Environmental Parameters ◽  
Small Island ◽  
Annual Growth Rate ◽  
Energy Profile ◽  
Case Scenario ◽  
The Impact

The integration of renewable energy (RE) into the overall energy mix of Caribbean nations has been increasing in recent times. The volatile nature of the carbon-based industry through fluctuations in prices of fossil fuel based-products renders it necessary to promote an aggressive energy profile transition to renewable energy, as this is crucial to energy security in these vulnerable Small Island Developing States (SIDS). The nation of Barbados has notably understood this reality and, as such, its government has endorsed the approach of 100% RE implementation by 2030. This paper explores three distinctive annual growth rate (AGR) scenarios to assess the impact on the expected power generation, economic and environmental parameters through the period of 2019-2030. Notable findings at a high case scenario for 2030 (at an AGR of 3%) projects a power generation of 1.343 Tera-watts-hour (TWh), which will displace 790,500 barrels of oil equivalent (boe), resulting in an abatement of approximately 0.95 million tons of carbon dioxide into the atmosphere.

scholarly journals Modeling of Photovoltaic Module Using the MATLAB

2019 ◽  
Vol 9 ◽  
pp. 59-69
Author(s):  
Alok Dhaundiyal ◽  
Divine Atsu
Keyword(s):  
Standard Test ◽  
Electrical Performance ◽  
Photovoltaic Module ◽  
Solar Pv ◽  
Pv Module ◽  
Proposed Model ◽  
Current Voltage ◽  
Pv Modules ◽  
The Impact ◽  
The Mathematical Model

This paper presents the modeling and simulation of the characteristics and electrical performance of photovoltaic (PV) solar modules. Genetic coding is applied to obtain the optimized values of parameters within the constraint limit using the software MATLAB. A single diode model is proposed, considering the series and shunt resistances, to study the impact of solar irradiance and temperature on the power-voltage (P-V) and current-voltage (I-V) characteristics and predict the output of solar PV modules. The validation of the model under the standard test conditions (STC) and different values of temperature and insolation is performed, as well as an evaluation using experimentally obtained data from outdoor operating PV modules. The obtained results are also subjected to comply with the manufacturer’s data to ensure that the proposed model does not violate the prescribed tolerance range. The range of variation in current and voltage lies in the domain of 8.21 – 8.5 A and 22 – 23 V, respectively; while the predicted solutions for current and voltage vary from 8.28 – 8.68 A and 23.79 – 24.44 V, respectively. The measured experimental power of the PV module estimated to be 148 – 152 W is predicted from the mathematical model and the obtained values of simulated solution are in the domain of 149 – 157 W. The proposed scheme was found to be very effective at determining the influence of input factors on the modules, which is difficult to determine through experimental means.

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