Significance Statement
Hargreaves et al. (2016) developed a
method of taking into account the variability of indoor and outdoor
space of housing when forecasting the suitability of decentralized
energy technologies. The research, published in the journal Applied Energy, substantially
improves the spatial estimates of thermal energy consumption when
compared to building energy models that use standard dwelling
typologies. It also forecast how spatial planning scenarios would
affect the suitability of decentralised energy supply.
The United Kingdom Future of Heating
report by the government Department of Energy and Climate Change (DECC)
proposed that decentralized energy supply, such as heat pumps and heat
networks, will provide a large proportion of future domestic heating and
make a substantial contribution to achieving future CO2
reduction targets. However, the DECC consultation on a domestic
renewable energy incentive scheme identified costs and uncertainty about
whether properties have the space for installation as important
barriers. This leads to the need for the future built form
characteristics and energy demands to be considered because they will
affect the suitability of decentralized technologies and their uptake
and cost effectiveness.
Research to carry out this investigation
was part of a case study of London and its surrounding regions in the
south east of England. It used urban modeling forecasts of the locations
and average densities of dwellings for year 2031, and an innovative
method of converting these densities into a representation of the
housing stock and plot sizes. It thereby combined the regional
simulation of urban form and building occupancies with the
building-scale modelling of energy demand and supply to test combined
scenarios for spatial planning policy, building regulations and
technologies.
Dwelling energy demands were estimated
using a Domestic Energy and Carbon Model (DECM) for predicting the
energy consumption and carbon dioxide emission of the English housing
stock. The decentralized energy supply options consisted of
community-scale and building integrated technologies. Cost effectiveness
was calculated as a relative measure against the most appropriate
reference case and was used to explore the cost of achieving a one tonne
reduction in CO2 emissions compared with paying a carbon
price of around £ 70/tonne. The future costs and efficiencies of
buildings and technologies were based on information available in 2009.
From the results, Hargreaves et al.
(2016) showed that lower density areas would have the greatest potential
for energy efficiency improvement by retrofitting because they would
have a greater proportion of less energy efficient dwelling types such
as detached and semi-detached houses. These would also have more garden
and roof space for low carbon technologies that could partly offset
their greater CO2 emissions. The integrated modeling
framework showed how differences in the densities of dwellings due to
spatial planning policies would affect their CO2 emissions and also the
reduction in these emissions achievable by the energy supply systems.
The energy supply systems were selected
based on the availability of suitable space, an initial estimate of
their likely uptake, and sized with respect to their connected energy
demand and operational characteristics. The results obtained show that
the decentralized energy supply technologies would make only a marginal
reduction in CO2 per capita for the case study regions in the forecast year of 2031 compared to conventional supply.
The UK has a policy to progressively de-carbonize the conventional energy supply and this will diminish the future CO2
reduction benefits of these local low-carbon technologies. None of the
decentralized supply technologies tested, except micro-chp & gas,
would be financially beneficial to households unless subsidized. Also,
the new-build dwellings would be much more energy efficient and so would
have less potential for further reduction in CO2 emissions by low carbon supply.
Hargreaves et al. 2016’s findings have
helped to improve the evidence base for strategies on achieving carbon
budgets and the results show that current strategies do not adequately
take into account how future residential space constraints would affect
the suitability of some of these decentralized technologies. Their
future uptake is therefore likely to be lower than expected and is
likely to decline unless there is continuing policy support. Also, they
will become less cost effective at reducing CO2 when compared to conventional supply unless there is continuing improvement in their performance and costs characteristics.
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