Research interests

Three lines of research are promoted altogether addressing the relationships between engineering, environment and society aligned with Global Development priorities.

A concern for working on adequate geographic scales, with enough precision and controlling influence of uncertainties in decision making are crosscutting aspects of the three research lines.

The PhD theses previously advised by EScGD researchers show the background of the group and the possibilities for future works.

(1) Development of methodologies for including multidimensional metrics of socio environmental data in multicriteria decision making, specifically at sub-state scales and related to the provision of basic services. Success has been achieved reviewing data collection, managing information, measuring, classifying and analyzing, and later transference and application for governance improvement in Water, Sanitation and Hygiene services, at local, national and international scales. Goals: To promote research in methodologies that integrate sectorial and socio environmental data for multi criteria decision making. To implement case studies with key international agents and academic alliances in the epidemiology and public management sectors.

(2) Development of numerical methods for air quality forecasting at the micro-scale for environmental impact and risk assessment, and emissions management. Success has been achieved improving modelling and numerical simulation of dispersion and reaction of emissions in the micro-scale. The approach has been applied to air quality simulations in complex terrains coupled to meteorological and air quality mesoscale forecasting.Goals: To promote research in adaptive discretization schemes for air quality simulation of reactive species at the micro-scale, improving numerical precision and reducing uncertainty of estimates. To implement case studies with key international agents and academic alliances in the meteorology sector.

(3) Development of microgeneration technologies and management models for high-guality energy services supply from renewable sources. Success has been achieved in the design of biomass gasification components and related supply chain modelling. The approach is twofold: (i) industrial modelling with lab-scale prototyping and (ii) validation of prototypes under real operative conditions and modelling of variations from on-site case studies. Goals: To promoting research in trigeneration (electricity-heat-cooling), hybrid generation between solar energy and biomass, and financial and pricing models for energy services supply in rural areas. To broaden our network of collaborators from the industry, promoting study cases with key international agents and academic alliances in the energy sustainability sector.