Heat pump-based combined heat distribution circuits (CHDC) deliver both domestic hot water (DHW) and space heating to different end-users within an apartment building. By intelligently controlling heat pumps based on variable price signals, CHDCs can enhance sustainable energy use while reducing operational costs. Moreover, integrating decentralized DHW storage tanks enable decoupling of production and demand, leading to effective demand-response control strategies. This research examines the balance between thermal comfort and electricity costs by investigating the effectiveness of different supply temperature control strategies for various boundary conditions. Key challenges include maximizing thermal energy stored at DHW temperatures during low electricity price periods, while avoiding high-price periods, and ensuring end-users thermal comfort. Besides two baseline strategies, six demand-response control strategies, derived from a grouped charging methodology that alternates between high and low supply temperatures to reduce overall energy use, are investigated. Using two time-varying day-ahead marked price signals, i.e. stable and volatile, we determine the optimal control strategies for four different family types with different DHW consumption patterns. The results highlight that hybrid strategies reduce costs by up to 30% with minimal DHW comfort violations (≤ 2% of tap time), while extreme volatility enables savings up to 46% using percentile-based activation strategies. The prioritization of cost savings has the largest effect on the selection. These findings show that integrating cost-efficient methodologies coping with extreme market volatility can lead to enhanced system resilience and economic efficiency, but also highlight that these strategies should be tailored to the specific family types.