# Sustainable Building Tool by Energy Baseline: Case Study
###### Abstract
This systematic approach allows for a detailed evaluation of energy consumption within a building or facility at a specific point in time, enabling meaningful comparisons and supporting data-driven decisions aimed at enhancing energy efficiency. The EnBL operates as a foundational reference for the quantification and juxtaposition of energy consumption levels that are both antecedent to and subsequent to the execution of energy efficiency measures. Its determination involves the meticulous measurement of energy consumption over a designated period, typically spanning a year. This measurement encompasses the totality of energy sources employed within buildings or facilities, spanning electricity, gas, fuels, and other pertinent resources. Once the EnBL is ascertained, the avenue is paved for the implementation of diverse energy efficiency measures. This process may include the installation of state-of-the-art lighting systems, high-efficiency HVAC systems, thermal insulation protocols, and other systems and practices characterized by heightened efficiency. Henceforth, the energy baseline (EnBL) emerges as an indispensable instrument for the meticulous assessment of the advancements stemming from the instigation of an energy management system. The salience of an EnBL lies in its capacity to enable a discerning juxtaposition of energy performance metrics delineated during the computed timeframe to the duration scrutinized by the performance indicator. This performance indicator serves as the locus wherein enhancement measures, judicious operational protocols, and maintenance practices are implemented with the overarching aim of attaining pre-established objectives aligned with the energy policy. The choice of EnBL is predicated upon the contemplation of challenges that may be encountered, notably addressing considerations such as the magnitude of the facilities. Among the prevalent challenges is the substantiation of diverse energy sources. The intricacies extend to temporal lags between production data and energy meter readings, coupled with the intricate task of discerning numerous variables that yield influence over energy consumption patterns [1; 4; 24]. The principal aim of an energy baseline model resides in the estimation of energy demand under the implementation of energy efficiency measures within a building, thereby facilitating projections of energy savings. This inquiry seeks to scrutinize contemporary methodologies for gauging building energy baselines, encompassing hybrid, data-driven, and physics-based approaches, along with an exploration of the model development process and its constituent elements. The judicious selection of independent input variables assumes critical importance during the formulation of energy baseline models, exerting a discernible impact on the precision of energy saving estimations [25]. Conversely, the endeavor to inaugurate a novel energy baseline (EnBL) entails the meticulous collection of precise and representative data concerning energy consumption within the pertinent system or process. These requisite data can be acquired through the deployment of instrumentation, real-time monitoring protocols, and systematic energy audits. It is imperative to underscore the intrinsic correlation between the energy baseline and Energy Performance Indicators (EnPIs). EnPIs serve as pivotal tools for gauging the energy performance of a given system or process, and they are juxtaposed against the established EnBL, as elucidated in Figure 1[26]. In the context of energy management systems, the primary function of an energy baseline is to provide a quantitative reference that serves as the foundation for comparing energy performance. The EnBL represents a value for electrical or thermal energy consumption that allows for the measurement of savings by establishing a reference point before and after the implementation of improvement actions.