scholarly journals Renewable energy allocation based on maximum flow modelling within a microgrid

2022 ◽  
Vol 12 (2) ◽  
pp. 1180
Author(s):  
Junghoon Lee ◽  
Gyung-Leen Park
Keyword(s):  
Renewable Energy ◽  
Main Idea ◽  
Maximum Flow ◽  
Energy Generation ◽  
Energy Allocation ◽  
Flow Modeling ◽  
Flow Solver ◽  
Flow Modelling ◽  
First Pass ◽  
Renewable Energy Generation

This paper designs an energy allocation scheme based on maximum flow modeling for a microgrid containing renewable energy generators and consumer facilities. Basically, the flow graph consists of a set of nodes representing consumers or generators as well as a set of weighted links representing the amount of energy generation, consumer-side demand, and transmission cable capacity. The main idea lies in that a special node is added to account for the interaction with the main grid and that two-pass allocation is executed. In the first pass, the maximum flow solver decides the amount of the insufficiency and thus how much to purchase from the main grid. The second pass runs the flow solver again to fill the energy lack and calculates the surplus of renewable energy generation. The performance measurement result obtained from a prototype implementation shows that the generated energy is stably distributed over multiple consumers until the energy generation reaches the maximum link capacity.

Renewable energy generation from livestock waste for a sustainable circular economy in Bangladesh

2021 ◽  
Vol 139 ◽  
pp. 110695
Author(s):  
KM Nazmul Islam ◽  
Tapan Sarker ◽  
Farhad Taghizadeh-Hesary ◽  
Anashuwa Chowdhury Atri ◽  
Mohammad Shafiul Alam
Keyword(s):  
Renewable Energy ◽  
Circular Economy ◽  
Energy Generation ◽  
Livestock Waste ◽  
Renewable Energy Generation

A short-term decline in anthropogenic emission of CO2 in India due to COVID-19 confinement

2020 ◽  
pp. 030913332096674
Author(s):  
Bikash Ranjan Parida ◽  
Somnath Bar ◽  
Nilendu Singh ◽  
Bakimchandra Oinam ◽  
Arvind Chandra Pandey ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Fossil Fuels ◽  
Local Level ◽  
Energy Generation ◽  
Total Change ◽  
Increasing Demand ◽  
Using Data ◽  
Novel Coronavirus ◽  
Renewable Energy Generation

To curb the spread of novel coronavirus (COVID-19), confinement measures were undertaken, which altered the pattern of energy consumption and India’s anthropogenic CO2 emissions during the effective lockdowns periods (January to June 2020). Such changes are being analyzed using data of energy generated from coal and renewable sources and fossil-based daily CO2 emissions. Results revealed that coal-fired (fossil-based) energy generation fell by –13% in March, –29% in April, and –20% in May, and –16.6% in mid-June 2020 as compared with the same period in 2018–2019. Conversely, the renewable energy generation increased by 19% in March, 12% in April, 17% in May, and 7% in June 2020. The share of fossil-based energy fell by –6.55% in 2020 compared with mean levels, which was further offset by increases of renewable energy. India’s daily fossil-based CO2 emissions fell by –11.6% (–5 to –25.7%) by mid-June 2020 compared with mean levels of 2017–2019 with total change in fossil-based CO2 emission by –139 (–62 to –230) MtCO2, with the largest reduction in the industry (–41%), transport (–28.5%), and power (–21%) followed by the public (–5.4%), and aviation (–4%) sectors. If some levels of lockdown persist until December 2020, both energy consumption and CO2 emissions patterns would be below the 2019 level. The nationwide lockdown has led to a reduction in anthropogenic CO2 emissions and, subsequently, improved air quality and global environment and has also helped in reducing atmospheric CO2 concentrations at the local level but not on the global level. With suitable government policies, switching to a cleaner mode of energy generation other than fossil fuels could be a viable option to minimize CO2 emissions under increasing demand for energy.

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