Renewable Energy Integration and Energy Efficiency Enhancement for a Net-Zero-Carbon Commercial Building
Author(s): |
Xinyu Zhang
Yunting Ge Raj Vijay Patel |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 21 January 2025, n. 3, v. 15 |
Page(s): | 414 |
DOI: | 10.3390/buildings15030414 |
Abstract: |
Energy consumption in buildings is a major contributor to greenhouse gas emissions, primarily due to the extensive burning of fossil fuels. This study focuses on an innovatively designed building named The Clover and utilises IES-VE software (2024) to create a digital twin for the building’s performance prediction. The goal is to achieve a zero-carbon-emission building through energy-efficient strategies, including the use of air-source heat pumps and renewable energy systems for sustainable heating, cooling, and electricity. Dynamic simulations conducted with the software analyse key performance metrics, including annual heating and cooling demands, electricity consumption, carbon emissions, and renewable energy supply. The results indicate that a 53% reduction in CO2 emission is achieved when a heat pump system is applied instead of boiler and chiller systems. A total of 1243.96 MWh and 41.18 MWh of electricity can be generated by PV panels and wind energy systems. The net annual electricity generation from the energy system of the building is 191.64 MWh. Therefore, the results demonstrate that the building’s energy needs can be successfully met through on-site electricity generation using advanced perovskite–silicon tandem solar PV panels and wind turbines. This case study provides valuable insights for architects and building services engineers, offering a practical framework for designing green, energy-efficient, zero-carbon buildings and advancing the path to net zero. |
Copyright: | © 2025 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
7.15 MB
- About this
data sheet - Reference-ID
10815993 - Published on:
03/02/2025 - Last updated on:
03/02/2025