This article explores the integration of renewable energy systems, specifically photovoltaic (PV) panels and heat pumps, into a building energy simulation using IES Virtual Environment (IES VE) software. The study focuses on a student canteen within an academic campus, aiming to evaluate its potential as an energy provider to neighboring buildings. The simulation model incorporates detailed building characteristics, occupancy patterns, and local climate data to assess the canteen's energy demand and production capacity. The primary objective is to determine the feasibility of the canteen as a decentralized energy hub that supports nearby residential or institutional buildings. The study assesses the energy balance, potential surplus, and the impact of different operational strategies on both the canteen and neighboring structures. Scenarios include varying the size and efficiency of PV panels, optimizing heat pump operations, and integrating battery storage systems to maximize self-consumption and minimizing grid interaction. The results indicate that with optimal system sizing and management, the student canteen can significantly contribute to local energy needs, reducing reliance on external energy sources and enhancing the sustainability of the campus energy network. The findings provide valuable insights for designing and managing similar energy-sharing schemes in urban and campus settings, demonstrating the potential of combining building simulation tools with renewable energy technologies for sustainable community energy solutions.

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Exploring Potential of a Student Canteen as a Local Energy Provider Through Building Simulation

  • Andra Tanase,
  • Cristiana Croitoru,
  • Charles Berville

摘要

This article explores the integration of renewable energy systems, specifically photovoltaic (PV) panels and heat pumps, into a building energy simulation using IES Virtual Environment (IES VE) software. The study focuses on a student canteen within an academic campus, aiming to evaluate its potential as an energy provider to neighboring buildings. The simulation model incorporates detailed building characteristics, occupancy patterns, and local climate data to assess the canteen's energy demand and production capacity. The primary objective is to determine the feasibility of the canteen as a decentralized energy hub that supports nearby residential or institutional buildings. The study assesses the energy balance, potential surplus, and the impact of different operational strategies on both the canteen and neighboring structures. Scenarios include varying the size and efficiency of PV panels, optimizing heat pump operations, and integrating battery storage systems to maximize self-consumption and minimizing grid interaction. The results indicate that with optimal system sizing and management, the student canteen can significantly contribute to local energy needs, reducing reliance on external energy sources and enhancing the sustainability of the campus energy network. The findings provide valuable insights for designing and managing similar energy-sharing schemes in urban and campus settings, demonstrating the potential of combining building simulation tools with renewable energy technologies for sustainable community energy solutions.