Evaluating solar PV effects on California’s hydropower generation with a hybrid LP-NLP optimization model

2018 ◽  
Author(s):  
Mustafa Dogan ◽  
Jay Lund
Keyword(s):  
Optimization Model ◽  
Solar Pv ◽  
Hydropower Generation

scholarly journals India’s potential for integrating solar and on- and offshore wind power into its energy system

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Tianguang Lu ◽  
Peter Sherman ◽  
Xinyu Chen ◽  
Shi Chen ◽  
Xi Lu ◽  
...  
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Cost Optimization ◽  
Energy System ◽  
Offshore Wind ◽  
Power Demand ◽  
Solar Pv ◽  
Power Sector ◽  
Offshore Wind Power ◽  
Pv Systems

Abstract This paper considers options for a future Indian power economy in which renewables, wind and solar, could meet 80% of anticipated 2040 power demand supplanting the country’s current reliance on coal. Using a cost optimization model, here we show that renewables could provide a source of power cheaper or at least competitive with what could be supplied using fossil-based alternatives. The ancillary advantage would be a significant reduction in India’s future power sector related emissions of CO2. Using a model in which prices for wind turbines and solar PV systems are assumed to continue their current decreasing trend, we conclude that an investment in renewables at a level consistent with meeting 80% of projected 2040 power demand could result in a reduction of 85% in emissions of CO2 relative to what might be expected if the power sector were to continue its current coal dominated trajectory.

scholarly journals Development of a General Hybridized Optimization Model for Biogas and Solar PV Renewable Energy System Designs

2018 ◽  
Vol 3 (5) ◽  
pp. 82
Author(s):  
Ganiyu Adedayo Ajenikoko ◽  
T. O. Araoye ◽  
O. O. Aguda ◽  
S. F. Owolabi ◽  
A. O. Olushola
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Hybrid System ◽  
Optimization Model ◽  
Energy System ◽  
Total Power ◽  
Solar Pv ◽  
Renewable Energy System ◽  
Biogas Energy ◽  
Electrical Generation

Hybrid biogas/solar renewable energy system is an electricity production system made up of combination of biogas and solar energy. This hybrid is considered to be best module because it is abundant and environmentally friendly due to the limited reserves of fossil fuels and global environmental concerns for the production of electrical power generation and utilization. This paper develops a general hybridized optimization model for biogas/solar system for electrical generation of Ade-Oyo in Ibadan, Oyo State. In this paper, a pig dug was used to prepare the digester materials for biogas energy while a Shockley diode principle was used for PV power model. Simulation was carried out using MATLAB software and the total power for the hybrid system is formulated. The result revealed that the total power generated by biogas/solar hybrid system is the addition of the power generated by the biogas energy and solar PV panel and is given as: . The result shows that that there is a positive relationship between the electrical energy/power generated with biogas/solar energy. This paper will be helpful in demonstrating the viability of biogas/solar energy for rural communities and remote areas

scholarly journals Optimization model of electrification ratio using solar photovoltaic: case study in Kupang Regency

2018 ◽  
Author(s):  
Rusman Sinaga
Keyword(s):  
Rural Communities ◽  
Optimization Model ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Electrical Energy ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Co2 Emission Reduction ◽  
Ratio Optimization

The Electrification ratio in Indonesia is 89.10%, which means there are 7, 245,728 of 66, 489,400 households don’t have access to Electrical Energy Sources (EES). Kupang Regency is one of the Regency in Indonesia which has a low electrification ratio. 29,542 of 78,109 households haven't access to EES spread over 29 villages (electrification ratio of 62%). Solar Photovoltaic in Kupang Regency 5 MWp capacity has been operating but directly connected (On-Grid) to the State Electricity Company (PLN), it is not able to help rural communities that are difficulties to reach due to its geographical conditions. The aim of this research was design the electrification ratio optimization model with the consideration of CO2 emission reduction using Solar Photovoltaic. The method of research using dynamic modeling approach. The result of the research shows that electrification ratio can be achieved optimum estimated in 2020-2021 if the addition of capable power each year 4,000 kW. The addition of capable power 2,000 kW/year, can reach the optimum electrification ratio in 2023-2024 and if the addition of capable power is only 1,000 kW/year, the optimum electrification ratio can be achieved in 2030-2031. Diversification of DPG into Solar PV can reduce CO2 emissions by 98.8%.

An optimization model of self-paced tracking

1984 ◽  
Author(s):  
M. A. Montazer ◽  
Colin G. Drury
Keyword(s):  
Optimization Model

A tes

2018 ◽  
Vol 1 (3) ◽  
Author(s):  
IJE Manager
Keyword(s):  
Energy Supply ◽  
Fossil Fuels ◽  
Geographical Location ◽  
Weather Conditions ◽  
Past Century ◽  
Solar Pv ◽  
Pv Systems ◽  
Trade Offs ◽  
A Site ◽  
Selection Methodology

In the past century, fossil fuels have dominated energy supply in Indonesia. However, concerns over emissions are likely to change the future energy supply. As people become more conscious of environmental issues, alternatives for energy are sought to reduce the environmental impacts. These include renewable energy (RE) sources such as solar photovoltaic (PV) systems. However, most RE sources like solar PV are not available continuously since they depend on weather conditions, in addition to geographical location. Bali has a stable and long sunny day with 12 hours of daylight throughout the year and an average insolation of 5.3 kWh/m2 per day. This study looks at the potential for on-grid solar PV to decarbonize energy in Bali. A site selection methodology using GIS is applied to measure solar PV potential. Firstly, the study investigates the boundaries related to environmental acceptability and economic objectives for land use in Bali. Secondly, the potential of solar energy is estimated by defining the suitable areas, given the technical assumptions of solar PV. Finally, the study extends the analysis to calculate the reduction in emissions when the calculated potential is installed. Some technical factors, such as tilting solar, and intermittency throughout the day, are outside the scope of this study. Based on this model, Bali has an annual electricity potential for 32-53 TWh from solar PV using amorphous thin-film silicon as the cheapest option. This potential amount to three times the electricity supply for the island in 2024 which is estimated at 10 TWh. Bali has an excessive potential to support its own electricity demand with renewables, however, some limitations exist with some trade-offs to realize the idea. These results aim to build a developmental vision of solar PV systems in Bali based on available land and the region’s irradiation.

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