Policy roadmap to net zero: the role of gas in decarbonising the National Energy Market

2021 ◽  
Vol 61 (2) ◽  
pp. 375
Author(s):  
Stephanie Byrom ◽  
Geoffrey D. Bongers ◽  
Andy Boston

As the National Energy Market (NEM) changes to a more diverse grid with emissions reduction targets, the way we value technologies must also change (Boston et al. 2017). This change in value is fundamental as the future low emissions grid will require careful planning and implementation to guarantee the lowest total system cost is maintained, particularly as a net zero grid will be drastically larger than the current system. This planning must include system strength. The Australian Energy Market Operator Integrated System Plan states that the current market mechanisms cannot facilitate achieving a low emissions grid (Australian Energy Market Operator (AEMO) 2020a). Policy and market mechanisms will need to be designed for this changing system. If net zero is to be met, Modelling of Energy and Grid Services by Red Vector and Gamma Energy technology has shown that this future grid needs to contain: approximately 100GW of variable renewable energy; almost 20GW of firm, low emissions generation, such as gas or coal with carbon capture and storage (CCS), bioenergy with CCS and hydroelectric power. If CCS is not available, nuclear power will be required; more than 10GW of storage, including pumped hydro energy storage and other energy storage technologies and over 30GW of firm, dispatchable peaking plant, including coal- and gas-fired power generation. This study sets out the role for gas in a policy road map to net zero for the NEM, harnessing and reforming existing policies, as well as introducing new mechanisms to achieve net zero emissions while retaining a reliable grid at the lowest total system cost.

2021 ◽  
Vol 137 ◽  
pp. 110615
Author(s):  
J. Jarvinen ◽  
M. Goldsworthy ◽  
S. White ◽  
P. Pudney ◽  
M. Belusko ◽  
...  

2021 ◽  
Vol 236 ◽  
pp. 110751
Author(s):  
Sašo Medved ◽  
Suzana Domjan ◽  
Ciril Arkar

2019 ◽  
Vol 137 ◽  
pp. 01007 ◽  
Author(s):  
Sebastian Lepszy

Due to the random nature of the production, the use of renewable energy sources requires the use of technologies that allow adjustment of electricity production to demand. One of the ways that enable this task is the use of energy storage systems. The article focuses on the analysis of the cost-effectiveness of energy storage from the grid. In particular, the technology was evaluated using underground hydrogen storage generated in electrolysers. Economic analyzes use historical data from the Polish energy market. The obtained results illustrate, among other things, the proportions between the main technology modules selected optimally in technical and economic terms.


Author(s):  
Raed Abdulla ◽  
Aden Abdillahi ◽  
Maythem K. Abbas

This papaer entitled electronic toll collection system based on Radio Frequncy Identification System explained in detail based on current issue at toll collection system. There are some obstacles faced every day where the users spent their valuable time in queue at tollgate due to traffic congestion as well as using traditional manual method in most existing toll ETC system to collect toll from road users. Besides that, the barrier design where each vehicle stop waiting until barrier lift which consider source of time delay. To tackle stated problems, an electronic toll collection system is proposed which based on RFID technology. The integrated system consists of two main sections, electronic sides where all input data received from while database management office is where all necessary information stored. To compare the current ETC system, in this research elaborated internet of things where all data transmit through cloud and then to the main office in real time. Not only that, there is some enhancement based on barrier design where, gate is remained open for all vehicles with sufficient tags without requiring to stop to eliminate time delay.By check system throughput compare to existing toll systems, various tests have been carried out in different method where proposed system throughput much higher percentage the current system.


2016 ◽  
Vol 19 (3) ◽  
pp. 130 ◽  
Author(s):  
Jean Castaing-Lasvignottes ◽  
Mathieu David ◽  
Sidiki Simpore ◽  
Olivier Marc ◽  
François Garde

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1642 ◽  
Author(s):  
Kan Xie ◽  
Weifeng Zhong ◽  
Weijun Li ◽  
Yinhao Zhu

This paper studies capacity allocation of an energy storage (ES) device which is shared by multiple homes in smart grid. Given a time-of-use (TOU) tariff, homes use the ES to shift loads from peak periods to off-peak periods, reducing electricity bills. In the proposed ES sharing model, the ES capacity has to be allocated to homes before the homes’ load data is completely known. To this end, an online ES capacity allocation algorithm is developed based on the online convex optimization framework. Under the online algorithm, the complex allocation problem can be solved round by round: at each round, the algorithm observes current system states and predicts a decision for the next round. The proposed algorithm is able to minimize homes’ costs by learning from home load data in a serial fashion. It is proven that the online algorithm can ensure zero average regret and long-term budget balance of homes. Further, a distributed implementation of the online algorithm is proposed based on alternating direction method of multipliers framework. In the distributed implementation, the one-round system problem is decomposed into multiple subproblems that can be solved by homes locally, so that an individual home does not need to send its private load data to any other. In simulation, actual home load data and a TOU tariff of the United States are used. Results show that the proposed online approach leads to the lowest home costs, compared to other benchmark approaches.


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