CO2 emissions in electrified detached houses with photovoltaic generators: An hourly emission-profile approach with demand-side management and battery integration
Abstract
Residential energy systems are moving toward carbon neutrality as households electrify their energy demand and install photovoltaic (PV) generators. These shifts alter the household demand profiles and temporal generation-side variations, causing significant shifts in carbon dioxide (CO 2 ) emission patterns. This trend highlights the need for hourly CO 2 emission factors to quantitatively capture emission dynamics and, in turn, resolve demand–supply imbalances and reduce overall CO 2 emissions. Therefore, this study proposes an integrated control strategy of appliances and batteries (BTs) in electrified houses with PV generators. The control method minimizes the demand–supply imbalance by maximizing household energy self-sufficiency using an exhaustive search algorithm. The controller schedules heat pump, water heater, air conditioner, and BT operations based on the PV availability. We conducted a case study using Japanese household data and different PV-BT capacities to evaluate the control performance. The results indicate that 78–82% of the daily household CO 2 emissions occur between 4p.m. and 8 a.m., when the hourly CO 2 emission factors are higher than those during daylight. Under the same PV-BT capacity, for Tokyo, the controlled system reduced the monthly CO 2 emissions by 9–23% and decreased the annual household costs by 4–10% under a CO 2 tax scenario when compared with the uncontrolled method. These findings indicate that coordinating the appliance and BT operations with PV generation can effectively reduce residential CO 2 emissions and support demand-side pathways toward energy self-sufficient carbon–neutral homes.
Fields of Study & Subjects
Smart Grid Energy Management
Electric Vehicles and Infrastructure
Building Energy and Comfort Optimization
Publication details
- Journal / source
- Energy Conversion and Management X
- Volume
- 30
- Pages
- 101642–101642
- Publication date
- 6 February 2026
- Language
- EN