Energy Trading and Management Strategies in a Regional Integrated Energy System with Multiple Energy Carriers and Renewable-Energy Generation

2021 ◽  
Vol 147 (1) ◽  
pp. 04020076
Author(s):  
Yizheng Wang ◽  
Chenwei Jiang ◽  
Fushuan Wen ◽  
Yusheng Xue ◽  
Fei Chen ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Management Strategies ◽  
Energy Generation ◽  
Energy System ◽  
Energy Trading ◽  
Energy Carriers ◽  
Integrated Energy System ◽  
Renewable Energy Generation

scholarly journals Optimal Operation of a Hydrogen Storage and Fuel Cell Coupled Integrated Energy System

2021 ◽  
Vol 13 (6) ◽  
pp. 3525
Author(s):  
Oscar Utomo ◽  
Muditha Abeysekera ◽  
Carlos E. Ugalde-Loo
Keyword(s):  
Renewable Energy ◽  
Fuel Cell ◽  
Hydrogen Storage ◽  
Storage System ◽  
Energy Generation ◽  
Energy System ◽  
Optimal Operation ◽  
Area Of Interest ◽  
Integrated Energy System ◽  
Renewable Energy Generation

Integrated energy systems have become an area of interest as with growing energy demand globally, means of producing sustainable energy from flexible sources is key to meet future energy demands while keeping carbon emissions low. Hydrogen is a potential solution for providing flexibility in the future energy mix as it does not emit harmful gases when used as an energy source. In this paper, an integrated energy system including hydrogen as an energy vector and hydrogen storage is studied. The system is used to assess the behaviour of a hydrogen production and storage system under different renewable energy generation profiles. Two case studies are considered: a high renewable energy generation scenario and a low renewable energy generation scenario. These provide an understanding of how different levels of renewable penetration may affect the operation of an electrolyser and a fuel cell against an electricity import/export pricing regime. The mathematical model of the system under study is represented using the energy hub approach, with system optimisation through linear programming conducted via MATLAB to minimise the total operational cost. The work undertaken showcases the unique interactions the fuel cell has with the hydrogen storage system in terms of minimising grid electricity import and exporting stored hydrogen as electricity back to the grid when export prices are competitive.

scholarly journals Hydro–Connected Floating PV Renewable Energy System and Onshore Wind Potential in Zambia

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5330
Author(s):  
Kumbuso Joshua Nyoni ◽  
Anesu Maronga ◽  
Paul Gerard Tuohy ◽  
Agabu Shane
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Large Scale ◽  
Management Strategies ◽  
Energy Transition ◽  
Energy Generation ◽  
Energy System ◽  
Levelized Cost Of Electricity ◽  
Onshore Wind ◽  
Wind Potential

The adoption of a diversification strategy of the energy mix to include low-water consumption technologies, such as floating photovoltaics (FPV) and onshore wind turbines, would improve the resilience of the Zambian hydro-dependent power system, thereby addressing the consequences of climate change and variability. Four major droughts that were experienced in the past fifteen years in the country exacerbated the problems in load management strategies in the recent past. Against this background, a site appraisal methodology was devised for the potential of linking future and existing hydropower sites with wind and FPV. This appraisal was then applied in Zambia to all the thirteen existing hydropower sites, of which three were screened off, and the remaining ten were scored and ranked according to attribute suitability. A design-scoping methodology was then created that aimed to assess the technical parameters of the national electricity grid, hourly generation profiles of existing scenarios, and the potential of variable renewable energy generation. The results at the case study site revealed that the wind and FPV integration reduced the network’s real power losses by 5% and improved the magnitude profile of the voltage at nearby network buses. The onshore wind, along with FPV, also added 341 GWh/year to the national energy generation capacity to meet the 4.93 TWh annual energy demand, in the presence of 4.59 TWh of hydro with a virtual battery storage potential of approximately 7.4% of annual hydropower generation. This was achieved at a competitive levelized cost of electricity of GBP 0.055/kWh. Moreover, floating PV is not being presented as a competitor to ground-mounted systems, but rather as a complementary technology in specific applications (i.e., retrofitting on hydro reservoirs). This study should be extended to all viable water bodies, and grid technical studies should be conducted to provide guidelines for large-scale variable renewable energy source (VRES) integration, ultimately contributing to shaping a resilient and sustainable energy transition.

scholarly journals Cost-Optimized Microgrid Coalitions Using Bayesian Reinforcement Learning

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7481
Author(s):  
Mohammad Sadeghi ◽  
Shahram Mollahasani ◽  
Melike Erol-Kantarci
Keyword(s):  
Renewable Energy ◽  
Reinforcement Learning ◽  
Energy Levels ◽  
Energy Generation ◽  
Theory Model ◽  
Energy Trading ◽  
Proposed Model ◽  
Bayesian Reinforcement Learning ◽  
The Cost ◽  
Renewable Energy Generation

Microgrids are empowered by the advances in renewable energy generation, which enable the microgrids to generate the required energy for supplying their loads and trade the surplus energy to other microgrids or the macrogrid. Microgrids need to optimize the scheduling of their demands and energy levels while trading their surplus with others to minimize the overall cost. This can be affected by various factors such as variations in demand, energy generation, and competition among microgrids due to their dynamic nature. Thus, reaching optimal scheduling is challenging due to the uncertainty caused by the generation/consumption of renewable energy and the complexity of interconnected microgrids and their interplay. Previous works mainly rely on modeling-based approaches and the availability of precise information on microgrid dynamics. This paper addresses the energy trading problem among microgrids by minimizing the cost while uncertainty exists in microgrid generation and demand. To this end, a Bayesian coalitional reinforcement learning-based model is introduced to minimize the energy trading cost among microgrids by forming stable coalitions. The results show that the proposed model can minimize the cost up to 23% with respect to the coalitional game theory model.

scholarly journals Feasibility Study of Integrating Renewable Energy Generation System in Sark Island to Reduce Energy Generation Cost and CO2 Emissions

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4722 ◽  
Author(s):  
Shamir Robinson ◽  
Savvas Papadopoulos ◽  
Eulalia Jadraque Gago ◽  
Tariq Muneer
Keyword(s):  
Renewable Energy ◽  
Co2 Emissions ◽  
Energy Generation ◽  
Energy System ◽  
Energy Prices ◽  
Energy Integration ◽  
Generation System ◽  
Cost Of Energy ◽  
Renewable Energy Generation ◽  
Current Energy

The island of Sark, located in the English Channel, has endured an electricity distribution crisis for the past few years, resulting in high electricity costs almost six times higher than UK mainland energy prices. This article is focused on a methodology for finding the best renewable energy system with the lowest levelized cost of energy (LCOE) in comparison to the current energy rate of 66 p/kWh. Three different main cases of study have been compared in performance for different levels of renewable energy integration and energy storage, evaluating the estimated size of the system, installation cost and CO2 emissions. The results, which depend on the assumptions outlined, show that Case 2 renewable energy generation system is the most suitable in terms of reduction of CO2 emissions and expected earnings from a lower LCOE. Uncertainty in the results could be minimized if actual data from the island is made available by following the same methodology to find the best solution to the island’s current energy generation problem. Due to non-available data for the load profiles and wind velocity a set of assumption were required to be implemented. As such, two different load profiles were selected—one with a peak of energy consumption in winter and the other with a summer peak.

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
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