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- ENVIRONMENTAL AND SOCIAL COMMITMENT PLAN (V-DET Project
- Environmental and social managenment framework for VSUEE Project
- Ethnic minority planning framework for VSUEE Project
- Resettlement Policy Framework (VSUEE)
Tuesday, 29/10/2024 | 12:04 GMT+7
From 2020 to 2022, Terumo Vietnam Co., Ltd. implemented 61 energy-saving solutions, resulting in savings of nearly 3.4 million kWh, equivalent to more than 5.7 billion VND.
Energy Efficiency in Cement Production
21/10/2024
Cement production is one of the industries with high energy consumption, and cement enterprises prioritize finding effective energy-saving solutions to reduce costs and increase profits.
In the seafood processing industry, energy costs are significant, accounting for about 30% of total product costs.
Effective energy management optimizes energy usage, brings economic value, ensures sustainable environmental development, and reduces carbon emissions.
The synchronized application of management solutions, improvement initiatives, and investments in new technical technologies has helped Vnsteel Thang Long Coated Steel Joint Stock Company save 469,806 kWh, equivalent to an energy-saving rate of 16.2%.
Promoting the Energy Efficiency Investment Market in the Industrial Sector
01/10/2024
On the morning of September 27, 2024, in Ho Chi Minh City, the Ministry of Industry and Trade, in collaboration with the Korea International Cooperation Agency (KOICA), organized "Promoting the Energy Efficiency and Conservation Investment Market in Vietnam's Industrial Sector" seminar.
About Extension (#3) Bidding Package: C2.2.2: Review and update for current EE benchmarking for 2 sub-industrial sectors, develop new EE&EC standards for 2 sub-industries and technical guidelines development for those sectors.
On the morning of June 26, 2024, in Hanoi, the Ministry of Industry and Trade collaborated with the Danish Energy Agency and the Embassy of Denmark to organize a Consultation Workshop on "Selected Guidelines of the Voluntary Agreement Scheme (VAS) Operation Manual and VAS Findings”.
Schneider Electric expects the reference designs to address the evolving demands of AI workloads while optimizing performance, scalability, and overall sustainability
