When evaluating demand response, it is imperative that it is considered in the context of the entire energy system. Demand response alone may offer certain beneﬁts, however when the interaction with other system components is considered demand response may become a very attractive option. Going forward the ability of network users – from the largest generators, to the smallest households – to provide flexibility to the network will be crucial.
Companies will increasingly come under pressure from pension and fund managers, even private investors, to disclose their potential exposure to climate change, and that will inevitably focus on their carbon footprint.
In this article taken from The Electricity Journal, we look at the opportunities for energy storage, the impact renewable energy is having on electricity networks and the value that experts think will be created over the next 10 years.
Many have argued that the next step for electric cars is to be powered by solar energy. Indeed, charging cars on solar power has many obvious advantages that would compliment the existing Tesla, Volt and Leaf's but how feasible is it?
Many have argued that the UK lacks a clear energy policy and that this lack of direction - by many governments - has lead to expensive decisions, hasty changes in direction and confusing indicators to investors.
Much hope is vested in electricity storage technology as a game-changer in efforts towards decarbonising the energy sector. The idea of storing electricity for use at a later time, and even place, dates back to the inception years of the electricity sector.
The second part of the Electricity Price Forecasting series looking at agent-based models which simulate the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex phenomena.
A variety of methods and ideas have been tried for electricity price forecasting over the last 15 years. This review series aims to explain the complexity of the available solutions, their strengths and weaknesses. This first part introduces the topic, the key terms and lays out the road ahead.
The evolving economics of the oil industry are changing how benchmarks are calculated with the WTI, Brent and Dubai all undergoing considerable evolution.
The oil bears are gaining leverage over the bulls as confidence in the stability of crude prices continues to wane. But to what degree can US production meet additional OPEC cuts and when will the market rebound?
The traditional approach to hedging the crude oil refining margin (crack spread) adopts a fixed 3:2:1 ratio between the futures positions of crude oil, gasoline, and heating oil. The latest research indicates that this might not be the optimal approach
EnergyAnalyst YouTube Channel
Trump's Impact on US Oil
UK's energy policy in limbo?
China's electric car surge
Getting Started with Machine Learning
Energy Storage is changing the energy paradigm
Smart Grids Need Smarter Guidance
Multi Agent Models in Electricity Price Forecasting
An uncertain future for the UK Gas supply
An Introduction to Electricity Price Forecasting
Value in UK peaking plants?
Trading Natural Gas Storage
Introduction to Fuel Spreads
OPEc's Crude Awakenings
What drives European Gas Prices?
Changing Crude Oil Benchmarks
Downloading and parsing weather forecasts with Python
Optimal Crack Spread Hedging
Decarbonising UK Power Generation
Integration of Global Coal Markets
Are Supercapacitors About to Make Tesla Obsolete?
IE-oh? IEA bucks trend and backs oil
Japan's Renewables - False dawn in the land of the rising sun?
Trump and the impossible promise of US Coal jobs
7 Benefits of Battery Storage
Smart Meters : Intelligent choice or foolish venture?
The long and short term future of renewable Energy in the UK
Grid scale battery storage
Oil's Wells that End Well
Oil exporters fight for market share in Asia
UK Power market data - XML to Pandas dataframe
UK Gas market data - XML to Pandas dataframe
EFA Day and UK traded products
Using Excel and VBA to converting time into Half Hour periods for the UK power market
Converting time to half hour periods using Python