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The Shape of Future Electricity Demand: Exploring Load Curves in 2050s Germany and Britain

T. Boßmann, +1 more
- 01 Oct 2015 - 
- Vol. 90, pp 1317-1333
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TLDR
In this paper, the authors explore the evolution of load curves to 2050 in Germany and Britain, two countries undergoing radically different energy transformations, and introduce two models for synthesizing future hourly load curves: eLOAD (electricity LOad curve ADjustment) and DESSTinEE (Demand for Energy Services, Supply and Transmission in EuropE).
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This article is published in Energy.The article was published on 2015-10-01 and is currently open access. It has received 210 citations till now. The article focuses on the topics: Electricity retailing & Peak demand.

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The role of hydrogen and fuel cells in the global energy system

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Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data

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A review of modelling tools for energy and electricity systems with large shares of variable renewables

TL;DR: An updated overview of currently available modelling tools, their capabilities and to serve as an aid for modellers in their process of identifying and choosing an appropriate model for analysing energy and electricity systems is presented.
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Balancing Europe’s wind-power output through spatial deployment informed by weather regimes

TL;DR: It is shown that weather regimes provide a meteorological explanation for multi-day fluctuations in Europe’s wind power and can help guide new deployment pathways which minimise this variability.
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The increasing impact of weather on electricity supply and demand

TL;DR: In this article, the authors developed an open framework for quantifying the impacts of weather on electricity supply and demand using the Renewables.ninja and DESSTINEE models and demonstrated this using a case study of Britain using National Grid's Two Degrees scenario forwards to 2030.
References
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Journal ArticleDOI

Modeling of end-use energy consumption in the residential sector: A review of modeling techniques

TL;DR: In this paper, the authors provide an up-to-date review of the various modeling techniques used for modeling residential sector energy consumption, focusing on the strengths, shortcomings and purposes.
Journal ArticleDOI

Domestic electricity use: A high-resolution energy demand model

TL;DR: In this paper, a high-resolution model of domestic electricity use is presented based upon a combination of patterns of active occupancy (i.e. when people are at home and awake), and daily activity profiles that characterise how people spend their time performing certain activities.
Journal ArticleDOI

Energy systems modeling for twenty-first century energy challenges

TL;DR: In this article, the authors look at models relevant to national and international energy policy, grouping them into four categories: energy systems optimization models, energy systems simulation models, power systems and electricity market models, and qualitative and mixed-methods scenarios.
Journal ArticleDOI

Demand response experience in Europe: Policies, programmes and implementation

TL;DR: In this article, the authors examine experiences within European countries as well as at European Union (EU) level, with the aim of understanding which factors have facilitated or impeded advances in demand response (DR) in Europe.
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Frequently Asked Questions (16)
Q1. What have the authors contributed in "The shape of future electricity demand: exploring load curves in 2050s germany and britain" ?

This paper explores the evolution of load curves to 2050 in Germany and Britain: two countries undergoing radically different energy transformations. 

The combination of increased peak load, reduced minimum load, decreased utilisation and stronger ramp rates means that balancing supply and demand will become more challenging in the future, especially when considered alongside the growth in variable renewable energy sources. Future research activities could expand the focus on this demand response aspect, assessing the transformation of net load, how other demand side technologies ( e. g. heat pumps, white appliances or industry processes ) can contribute to peak load shaving and RES integration, and how this affects the electricity supply side. Smart charging strategies have immense potential for net load smoothing and the integration of renewables. 

DESSTinEE is a simulation model for exploring future energy system transition pathways (similar to DECC’s 2050 calculators [53]) rather than an optimisation model that is used to find the least-cost path to reducing carbon emissions (such as MARKAL or TIMES). 

In particular, the UK has ambitious plans3 for heat pumps to deliver a third of all heat by 2030, which will have a profound impact on peak load and may prove problematic given the current worries around capacity shortage. 

Each country’s load curve is decomposed into major economic sectors (residential, commercial, agriculture, industrial, road and rail), with built sectors being split further into space heating, water heating, cooling, and all other appliances. 

The uptake of electric vehicles in the UK is also based on the CCC projection for 60% of new vehicles to be electric (either EV or PHEV) from the 2020s onwards [63], leading to a total of 14.7 m electric vehicles on the road in 2050. 

Electricity has been placed at the centre of its climate change strategy, as it is perceived to be the cheapest sector to rapidly decarbonise. 

In the core scenario, transformation of the load curve and evolution of peak load are primarily driven by the extensive diffusion of electric vehicles and their assumed load profile (battery charging after the last journey). 

An additional 4 million heat pumps therefore raises the average temperature sensitivity to 0.59 and 1.56 GW/°C in Germany and Britain, and the peak sensitivity to 0.90 and 1.97 GW/°C. 

Germany has not stated a specific target for the diffusion of heat pumps; however, more than half of today’s newly constructed buildings rely on a heat pump system [65]. 

Solar PV panels have the same effect of reducing apparent demand during daylight hours; however, this demand data is not affected by renewable outputs, and their effect would only become visible from the mid-2000s as opposed to the late 1990s. 

Large-scale market entry of electric vehicles should be accompanied by sophisticated charging strategies to ensure a sustainable and cost-efficient integration. 

As indicated by Figure 15, German peak load can be preserved at the level of 2010 while the increase in the UK peak load is reduced from 30 to 22 GW. 

Depending on the individual scenario this can be translated into about 30 relevant applications covering approximately 80% of the total change in demand between base and projection year (see Figure 5). 

When validating the simulated load curves for 2010, the residuals for both Britain and Germany were normally distributed with a standard deviation of 7% (±2.6 and ±4.3 GW respectively). 

The residual load curve (from all other applications not explicitly modelled) is deduced from the historic metered load curve, and then the appliancespecific and residual load curves are scaled for all projection years according to the evolution of annual demand.