scholarly journals Towards Imposing Dayparted Restrictions on Tokenised Energy within Peer-to-Peer Markets

2020 ◽  
Author(s):  
Almero de Villiers ◽  
Paul Cuffe
Keyword(s):  
Total Energy ◽  
Power Flow ◽  
Peer To Peer ◽  
Electrical System ◽  
Total Energy Consumption ◽  
Electricity Trading ◽  
Market Simulation ◽  
Production And Consumption ◽  
Effective Use ◽  
Local Generation

This piece proposes a novel mechanism for peer-to-peer electricity trading whereby energy tokens can only be redeemed in the same part of the day as when they were generated. The aim of this regulatory mechanism is to reduce token hoarding by consumers to better align the physical production and consumption of electricity, which in turn could decrease electrical system losses and minimise the chance of grid imbalances. To establish the effectiveness of this dayparting mechanism a market simulation is performed. This simulation is made up of 24 consumers' and five producers' profiles over a seven-day week. An optimisation is performed to most effectively allocate energy tokens from producers to consumers, aiming to minimise the total energy imported from the larger grid i.e. to make most effective use of local generation. Consumers are permitted to perform a measure of demand response by modulating their demand at certain points while keeping their total energy consumption constant. Allocated energy tokens can be consumed immediately, or during any subsequent daypart to the same type. A series of power flow analyses are performed using the market simulation out-turns to establish the electrical system effects. Consumers are found to move some demand to weekend days when demand is lower but generation is equally abundant. Electrical results reveal a decrease in system losses, as well as less fluctuation from the larger grid supply.

scholarly journals Towards Imposing Dayparted Restrictions on Tokenised Energy within Peer-to-Peer Markets

2020 ◽  
Author(s):  
Almero de Villiers ◽  
Paul Cuffe
Keyword(s):  
Total Energy ◽  
Power Flow ◽  
Peer To Peer ◽  
Electrical System ◽  
Total Energy Consumption ◽  
Electricity Trading ◽  
Market Simulation ◽  
Production And Consumption ◽  
Effective Use ◽  
Local Generation

This piece proposes a novel mechanism for peer-to-peer electricity trading whereby energy tokens can only be redeemed in the same part of the day as when they were generated. The aim of this regulatory mechanism is to reduce token hoarding by consumers to better align the physical production and consumption of electricity, which in turn could decrease electrical system losses and minimise the chance of grid imbalances. To establish the effectiveness of this dayparting mechanism a market simulation is performed. This simulation is made up of 24 consumers' and five producers' profiles over a seven-day week. An optimisation is performed to most effectively allocate energy tokens from producers to consumers, aiming to minimise the total energy imported from the larger grid i.e. to make most effective use of local generation. Consumers are permitted to perform a measure of demand response by modulating their demand at certain points while keeping their total energy consumption constant. Allocated energy tokens can be consumed immediately, or during any subsequent daypart to the same type. A series of power flow analyses are performed using the market simulation out-turns to establish the electrical system effects. Consumers are found to move some demand to weekend days when demand is lower but generation is equally abundant. Electrical results reveal a decrease in system losses, as well as less fluctuation from the larger grid supply.

scholarly journals Towards Embedding Network Usage Charges Within a Peer-to-Peer Electricity Marketplace

2020 ◽  
Author(s):  
Almero de Villiers ◽  
Paul Cuffe
Keyword(s):  
Power Flow ◽  
Flow Analysis ◽  
Peer To Peer ◽  
Electrical Performance ◽  
Long Distance ◽  
Resistance Distance ◽  
Network Usage ◽  
Grid Operators ◽  
Simulated Market ◽  
Local Generation

<div>This paper proposes a novel tariff regime for peerto-peer energy trading, with an aim to increase transmission</div><div>efficiency and grid stability by penalising long distance power transactions. In this scheme a portion of the transacted energy is withheld based on the electrical distance between buying and selling parties, calculated here according to the Klein Resistance Distance. This tariff regime is simulated using a dataset of producers and consumers over a 24-hour period. First, a notional marketplace equilibrium simulation is performed, in which</div><div>consumers can optimally activate demand response resources to exploit local availability of energy. Consumers are observed to move some demand away from peak times to make use of local generation availability. These simulated market out-turns are then used as inputs to a time series power flow analysis, in order to evaluate the network’s electrical performance. The regime is found to decrease grid losses and the magnitude of global voltage angle separation. However, the metric whereby taxes are calculated is found to be too skewed in the utility’s favour and may discourage adoption of the peer-to-peer system.</div><div>The method also attempts to encourage regulatory adoption</div><div>by existing grid operators and utilities. Some counter-intuitive allocations of tokenised energy occur, owing to specific consumers’ demand profiles and proximity to generators.</div><div><br></div>

scholarly journals Towards Embedding Network Usage Charges Within a Peer-to-Peer Electricity Marketplace

2020 ◽  
Author(s):  
Almero de Villiers ◽  
Paul Cuffe
Keyword(s):  
Power Flow ◽  
Flow Analysis ◽  
Peer To Peer ◽  
Electrical Performance ◽  
Long Distance ◽  
Resistance Distance ◽  
Network Usage ◽  
Grid Operators ◽  
Simulated Market ◽  
Local Generation

<div>This paper proposes a novel tariff regime for peerto-peer energy trading, with an aim to increase transmission</div><div>efficiency and grid stability by penalising long distance power transactions. In this scheme a portion of the transacted energy is withheld based on the electrical distance between buying and selling parties, calculated here according to the Klein Resistance Distance. This tariff regime is simulated using a dataset of producers and consumers over a 24-hour period. First, a notional marketplace equilibrium simulation is performed, in which</div><div>consumers can optimally activate demand response resources to exploit local availability of energy. Consumers are observed to move some demand away from peak times to make use of local generation availability. These simulated market out-turns are then used as inputs to a time series power flow analysis, in order to evaluate the network’s electrical performance. The regime is found to decrease grid losses and the magnitude of global voltage angle separation. However, the metric whereby taxes are calculated is found to be too skewed in the utility’s favour and may discourage adoption of the peer-to-peer system.</div><div>The method also attempts to encourage regulatory adoption</div><div>by existing grid operators and utilities. Some counter-intuitive allocations of tokenised energy occur, owing to specific consumers’ demand profiles and proximity to generators.</div><div><br></div>

Energy savings potential of new aeration system: Full scale trials

2012 ◽  
Vol 7 (4) ◽  
Author(s):  
A. Lazić ◽  
V. Larsson ◽  
Å. Nordenborg
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Total Energy ◽  
Energy Savings ◽  
Treatment Plant ◽  
Full Scale ◽  
Total Energy Consumption ◽  
Aeration System ◽  
Fine Bubble ◽  
Aeration Control

The objective of this work is to decrease energy consumption of the aeration system at a mid-size conventional wastewater treatment plant in the south of Sweden where aeration consumes 44% of the total energy consumption of the plant. By designing an energy optimised aeration system (with aeration grids, blowers, controlling valves) and then operating it with a new aeration control system (dissolved oxygen cascade control and most open valve logic) one can save energy. The concept has been tested in full scale by comparing two treatment lines: a reference line (consisting of old fine bubble tube diffusers, old lobe blowers, simple DO control) with a test line (consisting of new Sanitaire Silver Series Low Pressure fine bubble diffusers, a new screw blower and the Flygt aeration control system). Energy savings with the new aeration system measured as Aeration Efficiency was 65%. Furthermore, 13% of the total energy consumption of the whole plant, or 21 000 €/year, could be saved when the tested line was operated with the new aeration system.

scholarly journals Energy Recovery Potential in Industrial and Municipal Wastewater Networks Using Micro-Hydropower in Spain

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 691
Author(s):  
Aida Mérida García ◽  
Juan Antonio Rodríguez Díaz ◽  
Jorge García Morillo ◽  
Aonghus McNabola
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Recovery ◽  
Energy Production ◽  
Municipal Wastewater ◽  
Distribution Networks ◽  
Total Power ◽  
Energy Potential ◽  
Total Energy Consumption ◽  
Recovery Potential

The use of micro-hydropower (MHP) for energy recovery in water distribution networks is becoming increasingly widespread. The incorporation of this technology, which offers low-cost solutions, allows for the reduction of greenhouse gas emissions linked to energy consumption. In this work, the MHP energy recovery potential in Spain from all available wastewater discharges, both municipal and private industrial, was assessed, based on discharge licenses. From a total of 16,778 licenses, less than 1% of the sites presented an MHP potential higher than 2 kW, with a total power potential between 3.31 and 3.54 MW. This total was distributed between industry, fish farms and municipal wastewater treatment plants following the proportion 51–54%, 14–13% and 35–33%, respectively. The total energy production estimated reached 29 GWh∙year−1, from which 80% corresponded to sites with power potential over 15 kW. Energy-related industries, not included in previous investigations, amounted to 45% of the total energy potential for Spain, a finding which could greatly influence MHP potential estimates across the world. The estimated energy production represented a potential CO2 emission savings of around 11 thousand tonnes, with a corresponding reduction between M€ 2.11 and M€ 4.24 in the total energy consumption in the country.

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