scholarly journals Clean Energy, Australian Electricity Markets, and Information Transmission

2021 ◽  
Author(s):  
Sitara Karim ◽  
Muhammad Abubakr Naeem
2019 ◽  
Vol 79 ◽  
pp. 45-58 ◽  
Author(s):  
Paweł Maryniak ◽  
Stefan Trück ◽  
Rafał Weron

Climate Law ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 263-302
Author(s):  
Kevin B. Jones ◽  
Benjamin B. Civiletti ◽  
Angela J. Sicker

Open access to electric markets supports the integration of growing renewable energy resources. This is increasingly important as more US states aim to meet 100 percent of their energy needs with zero-emission resources. Currently states employ a wide variety of renewable energy targets and eligibility requirements. An example of the increasingly complex US state policy patchwork is state-mandated zero-emission credits (zecs) for nuclear facilities. Rather than increase conflict between clean energy goals and wholesale electric markets, there is a need for a more comprehensive regional approach that provides the appropriate price signals for carbon through existing market mechanisms. A carbon charge could be designed to eliminate the need for out-of-market zec payments to nuclear generation and significantly reduce state payments for renewable energy credits. This article examines the growing conflict between regional electricity markets and more localized clean-energy goals and explores how a carbon charge in the US regional electricity markets both mitigate this conflict and expedite the low-carbon transition.


2021 ◽  
Vol 9 ◽  
Author(s):  
Yu Liu ◽  
Tian Gao ◽  
Xiaolong Sun ◽  
Zexin Yang ◽  
Yujia Zhang ◽  
...  

Large-scale distributed demand response is a hotspot in the development of power systems, which is of much significance in accelerating the consumption of new energy power generation and the process of clean energy substitution. However, the rigorous distributed algorithms utilized in current research studies are mostly very complicated for the large-scale demand response, requiring high quality of information systems. Considering the electrical features of power systems, a weak-consistency–oriented collaborative strategy is proposed for the practical implementation of the large-scale distributed demand response in this study. First, the basic conditions and objectives of demand response are explored from the view of system operators, and the challenges of large-scale demand response are discussed and furthermore modelled with a simplification based on the power system characteristics, including uncertainties and fluctuations. Then, a weakly consistent distributed strategy for demand response is proposed based on the Paxos distributed algorithm, where the information transmission is redesigned based on the electrical features to achieve better error tolerance. Using case studies with different information transmission error rates and other conditions, the proposed strategy is demonstrated to be an effective solution for the large-scale distributed demand response implementation, with a robust response capability under even remarkable transmission errors. By integrating the proposed strategy, the requirement for the large-scale distributed systems, especially the information systems, is highly eased, leading to the acceleration of the practical demand response implementation.


Author(s):  
Martin Bichler ◽  
Hans Ulrich Buhl ◽  
Johannes Knörr ◽  
Felipe Maldonado ◽  
Paul Schott ◽  
...  

AbstractEurope’s clean energy transition is imperative to combat climate change and represents an economic opportunity to become independent of fossil fuels. As such, the energy transition has become one of the most important, but also one of the most challenging economic and societal projects today. Electricity systems of the past were characterized by price-inelastic demand and only a small number of large electricity generators. The transition towards intermittent renewable energy sources changes this very paradigm. Future electricity systems will consist of many thousands of electricity generators and consumers that actively participate in markets, offering flexibility to balance variable electricity supply in markets with a high spatial and temporal resolution. These structural changes have ample consequences for market operators, generators, industrial consumers as well as prosumers. While a large body of the literature is devoted to the energy transition in engineering and the natural sciences, it has received relatively little attention in the recent business research literature, even though many of the central challenges for a successful energy transition are at the core of business research. Therefore, we provide an up-to-date overview of key questions in electricity market design and discuss how changes in electricity markets lead to new research challenges in business research disciplines such as accounting, business & information systems engineering, finance, marketing, operations management, operations research, and risk management.


Increasing renewable energy footprints now features prominently in the clean energy transition plan for many countries. Consumer’s Willingness To Pay (WTP) for renewable energy is an important variable in this plan. A concept-centric review of 70 research articles conducted in this study reveals that first and most commonly, consumer’s willingness to pay for renewable energy indicates the social acceptance of renewable energy, quantifying the extent of public financial support for meeting nationally set renewable energy targets. Second, it reflects the preferred attributes of renewable electricity supply in deregulated retail electricity markets. And third, it mirrors the non use values of renewable energy sources. A concept augmented matrix presented in the paper helps understand the most popular valuation techniques used to quantify WTP estimates in included studies. This paper concludes by presenting policy enablers to accelerate renewable energy transition in developing economies - where the transition is still in nascent stages.


2010 ◽  
pp. 10073010152446
Author(s):  
Marc Reisch
Keyword(s):  

2011 ◽  
pp. 042811132534
Author(s):  
Rajendrani Mukhopadhyay
Keyword(s):  

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