Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions

BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems

“…Climate conditions exert a notable influence on STLF, primarily attributed to their integral role within the operational dynamics of high-energy-consuming devices. This influence extends to heating and cooling systems, whose operational patterns align closely with fluctuations in weather conditions [38]. The AEP dataset encompasses six distinct weather variables: temperature, humidity, wind velocity, atmospheric pressure, visibility, and dew point.…”

A review on recent standalone and grid integrated hybrid renewable energy systems: System optimization and energy management strategies

“…Besides sizing, energy management, and control, other possibilities lie in HRES for the better study of the system, for example, demand forecasting to facilitate better energy management and sizing, power supply and demand mismatch analysis, power shaving strategies to transfer power from peak to low consumption period, the presence of uncertainties concerning various factors, such as solar radiation, wind speed, or even costs. In [18], authors developed a holistic approach for energy demand prediction, design, and scheduling optimization. In [19], authors examined resource and demand assessment in PV-H2 HRES.…”

“…Total system costs (TSC) within the system lifetime include the initial price of the components, total capital costs, installation costs, replacement costs, fuel costs, operation and maintenance costs throughout the lifetime [24], [58], [63], [65], [69], [73], [87], [124] NPC Net present costs (NPC) during the lifetime of the project includes all costs associated with installing and operating the component deduced from all revenues that the component earned [15], [22], [66], [68], [85] TAC Total annual costs (TAC) include capital cost (Capex), operational cost (Opex), maintenance costs, and replacement costs of all the system components [9], [13], [18], [25], [26],…”

A review on modelling methods, tools and service of integrated energy systems in China

“…With the goal of building a green port, Song et al [106] proposed a zero-carbon port microgrid energy system with an integrated carbon capture power plant and developed an energy management model considering carbon trading mechanism to achieve optimal economic operation of the port microgrid and reduce carbon emissions. Li et al [107] presented a planning model for a 100% renewable island energy system that combines electricity to gas, CCHP, and desalination technologies to provide electricity, heating, cooling, gas, and fresh water to local residents. Xiang et al [108] developed an MILP optimization method for sizing the capacity of hydrogen energy systems, PV, and battery storage in an electrified airport IES with the optimization objective of minimizing the total economic cost and considering the environmental benefits of a proposed airport microgrid system.…”