# Sustainable Building Tool by Energy Baseline: Case Study
###### Abstract
This study emphasized the necessity of leveraging digital technologies to improve energy efficiency and facilitate decarbonization efforts in building design and operation [18]. [PERSON] et al. investigated a novel life cycle assessment methodology for transitioning from nearly Zero Energy Buildings (nZEBs) to Zero Energy Buildings (ZEBs), analyzing CO\({}_{2}\) equivalent emissions in a LEED-certified nZEB. Their study highlights that while 95% of the energy used for heating in 2022 came from renewable sources, this figure is projected to decrease to 86% by 2050, emphasizing the critical need to address embodied emissions, which accounted for 69% of total emissions in 2022, particularly through material reuse and recycling strategies [19]. [PERSON] et al. investigated the energy and exergy performance of buildings to achieve nearly Zero Energy Building (nZEB) standards by introducing three exergy-based indicators alongside conventional energy metrics. Their analysis, which was focused on the LEED Platinum-certified building, emphasizes the importance of resource consumption, generation systems, and environmental equilibrium, revealing significant insights into energy transformations throughout a building's lifecycle [20]. Amid these significant advancements in sustainable building design, gaining a deeper understanding of energy consumption is essential for shaping effective policies and practices. [PERSON] al. conducted a comprehensive analysis to establish an Energy Consumption Baseline (ENBL) for public schools in the West Bank, revealing that the average annual energy consumption is 10,368 kWh [21]. [PERSON] et al. carried out a comprehensive analysis of baseline scenario modeling for low-emission development in Ethiopia's energy sector, detailing the formulation of business-as-usual (BAU) and low-emission scenarios as part of the government's Long-Term Low Emissions Development Strategy (LT-LEDS) [22]. [PERSON] et al. studied a comprehensive review of energy baseline prediction methods for buildings, highlighting the complexities involved in accurately estimating energy consumption due to various influencing factors [23]. The scholars underscored the importance of energy baseline (EnBL) models as essential tools for evaluating building energy performance over time, estimating potential energy savings through efficiency measures, examining current methodologies, and emphasizing the critical role of independent variables in model development and performance assessment. This case study delves into innovative methodologies for estimating the energy baseline (EnBL) of a university classroom building. By highlighting the significance of data quality and model selection, time series models, which are particularly beneficial for buildings with limited consumption data, are compared to univariate and multivariate regression models that integrate additional variables like weather and occupancy. Furthermore, the potentials of dynamic simulations using the EnergyPlus engine and Design Builder soft ware (V7) are explored, facilitating scenario analysis under varying operational conditions. Through a comprehensive case study at the UAO University Campus, the models have been validated with daily monitoring data and rigorous statistical analysis in RStudio, demonstrating that the choice of model critically impacts energy consumption predictions, with significant implications for energy saving estimations. This research offers a robust framework for selecting appropriate methodologies for energy baseline estimation, enhancing the transparency and reliability of energy performance assessments. Energy baseline (EnBL). In the framework of the Energy Management System (EMS), a comprehensive methodology has been developed for deriving the energy baseline (EnBL), which acts as a critical quantitative benchmark for assessing energy performance.