As energy cost rises and environmental concerns grow, manufacturing facilities increasingly explore renewable energy solutions for effective operational cost management and emissions reduction. This paper investigates the integration of a hybrid photovoltaic-thermal (PVT) system within a manufacturing facility, which offers significant advantages over traditional photovoltaic setups by generating both electrical and thermal energy to maximize solar energy utilization efficiency. The system comprises PVT panels, batteries, thermal storage, and a reversible absorption heat pump powered by gas and air source renewable energy (GAHP-AR). By producing dual energy outputs, the PVT system supports heating, ventilation, and air conditioning (HVAC) requirements in alignment with manufacturing production schedules, reducing the facility’s reliance on external energy sources. Furthermore, to address the challenge that the economic viability of such systems, especially in energy-intensive industrial applications, remains a critical consideration as high initial and operational costs can affect the system’s feasibility, this study incorporates demand response (DR) programs as a strategy to manage energy costs more effectively. By leveraging time-of-use (TOU) tariffs for electricity and natural gas, the system operation can be adjusted to align with periods of lower energy costs, enhancing the overall cost-effectiveness of the PVT integration. This optimization framework considers the costs associated with the PVT system—installation, operation, and maintenance—and utility costs, including natural gas and electricity expenses under variable TOU rates. Given the variable utility prices under TOU tariffs, careful decision-making is required for managing power consumption within manufacturing facilities and controlling energy flow between system components, both of which are influenced by the PVT system configuration and usage patterns. To achieve these cost management goals, a Mixed-Integer Nonlinear Programming (MINLP) model is formulated in this study to jointly optimize power consumption in manufacturing facilities, energy flow, and PVT system configuration. This optimization aims to minimize overall costs, encompassing PVT system-related expenses and utility costs influenced by TOU tariffs. By effectively balancing energy generation, storage, and utilization, the model identifies optimal configurations and operational schedules for PVT system components and manufacturing production timelines, enhancing the system’s economic efficiency while maximizing energy resource use. A case study conducted at a typical lithium-battery assembly manufacturing facility demonstrates the potential for overall cost savings and CO₂ emissions reductions achievable through optimized PVT system integration. The study’s findings highlight the effectiveness of combining integrated DR programs with PVT systems to meet manufacturing facilities’ energy needs while reducing operational costs and dependence on external power sources. This framework provides a comprehensive approach for manufacturing facilities to adopt renewable energy solutions that are both economically viable and operationally efficient, supporting sustainable industrial practices in energy-intensive sectors.