OPPORTUNITIES FOR THE ENERGY SECTOR FROM UNCONVENTIONAL ENVIRONMENTAL ANALYSES AND SENSORS

The typical problems of air pollution to be faced with in many anthropized areas, even where the environment is protected by modern approaches, make it strategic the integration of conventional methodologies for air quality monitoring with unconventional ones proposed in the sector but not yet considered suitable to be official. By these integrated approaches, it is possible to identify single or multiple sources responsible of local air pollution (also in form of peaks of pollution). The additional information generated by unconventional sampling and/or sensors can be used by decision makers for setting strategies of reduction of the impact of specific sources, when these last ones are responsible of an unsustainable incidence in contributing to the local air pollution. A few case studies were selected and have been analysed to discuss about the advantages in integrating the conventional monitoring tools with other ones that are innovative (not alternative) but not official yet. The selected case studies belong to two categories: a) the first one concerns the identification of the role of a single source in contributing to the local air pollution, b) the second one concerns the assessment of the role of a sector in the local presence of air pollutants. The cases belong to the civil and the industrial sectors. Diffused and conveyed emissions are analysed depending on the case.

[1]  Wan-Young Chung,et al.  Battery-free smart-sensor system for real-time indoor air quality monitoring , 2017 .

[2]  M. Ragazzi,et al.  Smart monitoring of benzene through an urban mobile phone network , 2017 .

[3]  G. Calamita,et al.  Biomonitoring of atmospheric pollution: a novel approach for the evaluation of natural and anthropogenic contribution to atmospheric aerosol particles , 2017, Environmental Science and Pollution Research.

[4]  M. Lott,et al.  Quantifying the co-impacts of energy sector decarbonisation on outdoor air pollution in the United Kingdom , 2017 .

[5]  Li He,et al.  An inexact bi-level simulation–optimization model for conjunctive regional renewable energy planning and air pollution control for electric power generation systems , 2016 .

[6]  Kawsar Ahmed,et al.  Proposal of a gas sensor with high sensitivity, birefringence and nonlinearity for air pollution monitoring , 2016 .

[7]  G. Janssens‑Maenhout,et al.  Forty years of improvements in European air quality: regional policy-industry interactions with global impacts , 2016 .

[8]  Kwong-Sak Leung,et al.  A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems , 2015, Sensors.

[9]  Dino Zardi,et al.  Assessing the air quality impact of nitrogen oxides and benzene from road traffic and domestic heating and the associated cancer risk in an urban area of Verona (Italy) , 2015 .

[10]  E. C. Rada,et al.  The Sustainable City And Air Pollution , 2014 .

[11]  E C Rada,et al.  Assessment of the local role of a steel making plant by POPs deposition measurements. , 2014, Chemosphere.

[12]  M. Schiavon,et al.  Seeking Potential Anomalous Levels of Exposure to PCDD/Fs and PCBs through Sewage Sludge Characterization , 2013 .

[13]  Elena Cristina Rada,et al.  Role of levoglucosan as a tracer of wood combustion in an alpine region , 2012, Environmental technology.

[14]  Luca Marmo,et al.  Perspectives of low-cost sensors adoption for air quality monitoring , 2012 .