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As part of its initiative to promote the adoption of energy efficiency and decouple industrial growth from environmental degradation, the Asian Productivity Organization (APO) along with National Productivity Organisation (NPO) Bangladesh organized a digital workshop on Energy Efficiency and Management through Energy Analytics, 15–17 November. The workshop introduced participants to digital tools and software to measure the energy efficiency of equipment and conduct technoeconomic analyses of energy conservation opportunities.
With climate change becoming obvious and requiring urgent action, adopting energy-efficient technologies and operating practices can contribute to huge reductions in carbon emissions that can only be surpassed by renewables. It is also an important tool of the Green Productivity concept developed by the APO which guides enterprises to be productive with minimal environmental impact on their operations. While recent technological advances have helped improve the design efficiency of plant machinery, operational efficiency requires continuous measurement and analysis of key performance parameters. The APO workshop aimed to help member countries transition to cleaner energy sources by adopting energy-efficient practices and technologies to meet their net-zero carbon emission and cleaner industrialization objectives.
Thirty-one participants from 12 APO members attended the workshop, and three resource persons from Canada, Denmark, and India gave presentations on energy efficiency and management topics. It also provided participants an opportunity to examine the best practices to conserve energy at the enterprise level. The workshop covered topics such as energy efficiency to decarbonize industrial growth, approaches to optimizing equipment energy consumption, and identifying energy conservation opportunities. It also helped participants understand smart data measurement solutions, data-driven energy performance models, and features of energy modeling software, eQUEST the QUick Energy Simulation Tool. They were also given hands-on experience in the use of this energy modeling software.