Title: Critical Saving Exposed by Investigating Energy Efficiency Performance and Retrofitting Measures in University Campus Buildings: A Comprehensive Case Study
Abstract:This paper investigates the possible energy saving strategies on a complex and highly energy-consuming multifunctional building, consisting of classrooms, offices, laboratories by examining and then p...This paper investigates the possible energy saving strategies on a complex and highly energy-consuming multifunctional building, consisting of classrooms, offices, laboratories by examining and then proposing energy efficiency strategies. A comprehensive energy model was developed to evaluate the individual and combined effect of various key active and passive retrofit strategies such as the building orientation, building envelope insulation, glazing properties, lighting equipment, HVAC systems, and occupant behaviour. This study distinguishes itself by evaluating interventions' impacts on diverse energy consumption parameters, accounting for potential negative effects alongside positive outcomes, thus contributing to a holistic understanding of energy retrofit strategies. The study also introduces a decision-support application, the colour grading scala, which visually represents the varied effects of each retrofit measure and aids in making well-informed choices for effective energy retrofitting projects. The energy audit through simulation revealed that the annual primary energy consumption 154,49kWh/m² for electricity and 103,48kWh/m² for gas. The primary source of energy consumption in the building was identified as the natural gas boiler heating system. Lighting and miscellaneous equipment also contribute the electric consumption significantly. However, the implemented retrofitting strategies achieved energy savings were lower compared to those reported in the literature. While the most effective strategy is identified as the energy efficient update of HVAC systems, 30,24% and 58,22% saving could be achieved in electric and total energy consumption with the best performing energy retrofit package. The variations between the case study and literature review results can be attributed to specific climatic conditions and building characteristics.Read More
Publication Year: 2023
Publication Date: 2023-01-01
Language: en
Type: preprint
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot