Utilizing Green Technology System Applications in Energy Management: Green Economy Transition
Annotatsiya
Green technology systems are often provided with innovative solutions and sophisticated tools that optimize energy consumption for every organization's sustainability and efficiency. Our objectives were to develop a framework through the integration of green technologies, energy management systems, and data analytics capable of supporting decision-making in energy optimization. This paper presents a methodology for assessing green technology adoption, a model that operationalizes green energy strategies using real-time data in smart infrastructure and renewable energy, resulting in the continuous, real-time generation of performance metrics and savings estimations to support a company's ability to utilize the green technologies to enhance sustainability. Energy consumption samples previously analyzed separately for both green technologies and economic performance within the renewable energy sector were selected for a case study (n = 50). We collected data on energy consumption patterns in businesses from January to December (the baseline to final analysis period) and analyzed, first, the effects of adoption of green technologies on cost savings through regression analysis and, second, the effects of policy interventions on energy use. Three findings contribute to the study's conclusions: first, the number of green energy projects by enterprises increased over time, while those by governmental organizations decreased in the initial years, suggesting an increased adoption rate of green technologies in private sectors. Statistical results obtained from a simulation process with 100 runs show that both data modeling and predictive tools are effective methods for energy optimization with efficiency rates larger than 90%. Accordingly, the proposed multi-stage analysis approach used with real-time monitoring can be very beneficial to assist enterprises and policy makers in the adoption of green technologies.