Best Available Techniques for Environmental Optimization

Best Available Techniques (BAT) represent the most effective and advanced stage in the development of activities and their methods of operation, which indicate practical suitability for reducing environmental impact. Originating in industrial permitting and regulatory frameworks, BAT combine emission abatement, resource efficiency and process integration to achieve optimal performance. Techniques range from advanced filtration and catalytic processes to energy‐efficient system controls and green chemistry solutions. A critical aspect of BAT is their dynamic nature: as technologies evolve, the reference for “best” shifts, driving continuous improvement.

Environmental optimization through BAT relies on systematic assessment and decision support methods to balance economic, technical and ecological criteria. Multi-criteria decision analysis and predictive modelling are increasingly employed to evaluate trade-offs among cost, performance, adaptability and potential co-benefits such as resource recovery. The adoption of digital monitoring, data analytics and automation further enhances the capacity to fine-tune processes in real time, ensuring compliance and resilience in diverse sectors from manufacturing to power generation and wastewater treatment. Globally, BAT foster harmonisation of environmental standards, promote cleaner production and underpin sustainability goals.

Research from Nature Portfolio

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Research from all publishers

Researchers have advanced fuzzy-based methodologies for systematic selection of BAT, recognising that key parameters are often imprecise or qualitative. By integrating fuzzy sets with an information-mathematical toolbox, these approaches enable objective ranking of candidate techniques under uncertainty, offering a structured route to green technology adoption in complex regulatory environments.

In the building services sector, work on air-side economizers has demonstrated that dynamic optimisation of damper control setpoints—using predictive models of indoor and outdoor enthalpy—can yield significant energy savings while maintaining occupant comfort and air quality. This exemplifies how real-time control strategies constitute BAT in energy management.

At a regional policy level, analysis of innovation systems highlights the importance of institutional mechanisms for disseminating and implementing BAT. Case studies have identified the establishment of competence centres, development of reference documents and alignment of regional capabilities with national regulations as pivotal to embedding BAT across enterprises, thereby accelerating sustainable industrial transformation.

Best Available Techniques for Environmental Optimization publication trend

The graph below shows the total number of articles in best available techniques for environmental optimization across all publications each year (not limited to Nature Index journals).

Technical terms

Best Available Techniques (BAT): Integrated processes and technologies judged to be the most effective at achieving a high level of environmental protection under practical operating conditions.

Multi-Criteria Decision Analysis (MCDA): A structured decision-support framework that evaluates alternatives against multiple, often conflicting, criteria to facilitate transparent and balanced choices.

Analytic Hierarchy Process (AHP): An MCDA method that decomposes a decision problem into a hierarchy of criteria and sub-criteria, using pairwise comparisons to derive priority scales.

Fuzzy set: A mathematical concept where elements have degrees of membership, enabling modelling of imprecise or subjective information in decision processes.

Air-side economizer: A ventilation control system that introduces outdoor air for cooling when ambient conditions permit, reducing mechanical refrigeration energy use.

References

1. Optimal Control of Air-Side Economizer. Energies (2024).
2. Development Priorities for the Regional Innovation System Based on the Best Available Technologies. Sustainability (2022).
3. A fuzzy approach for selection of best available techniques. E3S Web of Conferences (2024).