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Residential consumer engagement in DR trials and programmes is systematically reviewed. There is a large evidence base but findings are complex and often inconsistent. Modelling studies tend to make optimistic assumptions about consumer engagement. The evidence is strongest for relatively simple and predictable forms of DR. More research and trial activity is needed on dynamic pricing and new loads.
Electrical energy storage has a critical role in future energy systems, but deployment is constrained by high costs and barriers to 'stacking' multiple revenue streams. We analyse the effects of different policy measures and revenue stacking on the economics of residential electricity storage in the UK. We identify six policy interventions through industry interviews and quantify their impact using a techno-economic model of a 4kWh battery paired with a 4kW solar system. Without policy intervention, residential batteries are not currently financially viable in the UK. Policies that enable access to multiple revenue streams, rather than just maximising PV self-consumption, improve this proposition. Demand Load-Shifting and Peak Shaving respectively increase the net present value per unit of investment cost (NPV/Capex) by 30% and 9% respectively. Given projected reductions in storage costs, stacking these services brings forward the breakeven date for residential batteries by 9 years to 2024, and increases the effectiveness of policies that reduce upfront costs, suggesting that current policy is correctly focused on enabling revenue stacking. However, additional support is needed to accelerate deployment in the near term. Combining revenue stacking with a subsidy of £250 per kWh or zero-interest loans could make residential storage profitable by 2020.
Residential demands for space heating and hot water account for 31% of the total European energy demand. Space heating is highly dependent on ambient conditions and susceptible to climate change. We adopt a techno-economic standpoint and assess the impact of climate change on decentralized heating demand and the cost-optimal mix of heating technologies. Temperature data with high spatial resolution from nine climate models implementing three Representative Concentration Pathways from IPCC are used to estimate climate induced changes in the European demand side for heating. The demand side is modelled by the proxy of heating-degree days. The supply side is modelled by using a screening curve approach to the economics of heat generation. We find that space heating demand decreases by up to 16% and 24% in low and intermediate concentration pathways. This reduction reaches 42% in the most extreme global warming scenario. When considering historic weather data, we find a heterogeneous mix of technologies are cost-optimal, depending on the heating load factor (number of full-load hours per year). Increasing ambient temperatures toward the end-century improve the economic performance of heat pumps in all concentration pathways. Cost optimal technologies broadly correspond to heat markets and policies in Europe, with some exceptions.
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