
Abstract Critical aspects affecting energy storage revenue include high penetrations of renewable generation such as photovoltaics (PV), and significant changes in patterns of demand as a result of widespread uptake of heat pumps. To assess the impact, an optimisation model using mixed integer linear programming (MILP) is proposed, to simultaneously determine the design and operation of battery energy storage for PV-battery systems featuring heat pumps. The annualised capital expenditure (CAPEX), annual operating expenditure (OPEX), self-consumption ratio (SCR), and internal rate of return (IRR) of PV-battery systems are calculated. Sensitivity analysis is carried out with a range of PV capacities and battery prices to understand the complex impact of heat pumps on PV-battery systems. It is shown that with a 3-tier time-of-use pricing tariff, the widespread use of heat pumps generally increases the SCR through the consumption of midday surplus PV, and decreases the optimal capacity of the battery storage. The sensitivity and scenario analysis provides evidence which negates the hypothesis that increased heat pump penetration leads to increased commercial return for PV-battery systems.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 35 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
