• Energy Research

Abstract The market value of the physical assets over the time varies as a function of different factors related, for instance, to the correct execution of buildings and systems; the conformity with procedures defined for the use phase of the systems; the implementation of maintenance plan, defined in order to maintain the building and its parts in good conditions. Nevertheless, there is not a clear evidence of how the market value is affected by the energy performance measured by the Energy Performance Certification in Italy. The aim of this research concerns the definition of an assessment methodology of the impact of the energy performance on the market value of assets. The methodology has been developed and tested in a case study on the city of Milan, Italy. At first, an investigation of homogeneous income areas has been carried out, afterwards an analysis of the market values of assets has been done. The results have been integrated in a Geographic Information System and gaps in the market values have been associated to the energy performance. Despite the methodology has still to be refined, it has been demonstrated its validity. To conclude, further parameters representing the energy performance of the buildings could be encompassed in the assessment, in order to achieve a more precise energy profile of the building under analysis.

Abstract The market value of the physical assets over the time varies as a function of different factors related, for instance, to the correct execution of buildings and systems; the conformity with procedures defined for the use phase of the systems; the implementation of maintenance plan, defined in order to maintain the building and its parts in good conditions. Nevertheless, there is not a clear evidence of how the market value is affected by the energy performance measured by the Energy Performance Certification in Italy. The aim of this research concerns the definition of an assessment methodology of the impact of the energy performance on the market value of assets. The methodology has been developed and tested in a case study on the city of Milan, Italy. At first, an investigation of homogeneous income areas has been carried out, afterwards an analysis of the market values of assets has been done. The results have been integrated in a Geographic Information System and gaps in the market values have been associated to the energy performance. Despite the methodology has still to be refined, it has been demonstrated its validity. To conclude, further parameters representing the energy performance of the buildings could be encompassed in the assessment, in order to achieve a more precise energy profile of the building under analysis.

Citizens in dense built environments are susceptible to the simultaneous occurrence of Slow Onset Disaster (SLOD) events, being particularly prone to increasing temperatures and air pollution. Previous research works have assessed these events’ arousal separately and have identified when their intensity is critical. However, few have integrated their analysis, possibly limited by the quality and granularity of available data, the accessibility and distribution of sensors, and measurements not emulating the surroundings of a pedestrian. Thus, this work performed an outdoor meso-scale multi-hazard-based risk analysis to study the aggregated effects of the SLODs mentioned above. The study was carried out to narrow down the time-frames within 2019 in which these two events could have affected citizens’ health the most. A weighted fuzzy logic was applied to superimpose climatic (temperature, humidity, wind speed, and solar irradiance) and air quality (particulate matter, ozone, and ammonium) distress (true risk) on an hourly basis, allocated using set healthy and comfortable ranges for a specific dense urban climate context within Milan (Italy), processing data from Milano via Juvara station. The findings show that sensitive groups were at risk of high temperature and pollution separately during 26% and 29% of summer and mid-season hours, respectively; while multi-hazard risk would arise during 10.93% of summer and mid-season hours, concentrated mainly between 14:00 and 20:00.

Citizens in dense built environments are susceptible to the simultaneous occurrence of Slow Onset Disaster (SLOD) events, being particularly prone to increasing temperatures and air pollution. Previous research works have assessed these events’ arousal separately and have identified when their intensity is critical. However, few have integrated their analysis, possibly limited by the quality and granularity of available data, the accessibility and distribution of sensors, and measurements not emulating the surroundings of a pedestrian. Thus, this work performed an outdoor meso-scale multi-hazard-based risk analysis to study the aggregated effects of the SLODs mentioned above. The study was carried out to narrow down the time-frames within 2019 in which these two events could have affected citizens’ health the most. A weighted fuzzy logic was applied to superimpose climatic (temperature, humidity, wind speed, and solar irradiance) and air quality (particulate matter, ozone, and ammonium) distress (true risk) on an hourly basis, allocated using set healthy and comfortable ranges for a specific dense urban climate context within Milan (Italy), processing data from Milano via Juvara station. The findings show that sensitive groups were at risk of high temperature and pollution separately during 26% and 29% of summer and mid-season hours, respectively; while multi-hazard risk would arise during 10.93% of summer and mid-season hours, concentrated mainly between 14:00 and 20:00.

The current perspective about urban development expects 70% of energy consumption will be concentrated in the cities in 2050. In addition, a growing density of people in the urban context leads to the need for increased security and safety for citizens, which imply a better lighting infrastructure. Smart solutions are required to optimize the corresponding energy effort. In developing countries, the cities’ lighting is limited and the lighting world map is strongly significant about the urban density of the different areas. Nevertheless, in territories where the illumination level is particularly high, such as urban contexts, the conditions are not homogenous at the microscale level and the perceived security is affected by artificial urban lighting. As an example, 27.2% of the families living in the city of Milan, ombardy Region, Italy, consider critical the conditions of lighting in the city during the night, although the region has diffused infrastructure. The paper aims to provide a local illuminance geographic information system (GIS) mapping at the neighborhood level that can be extended to the urban context. Such an approach could unveil the need to increase lighting to enhance the perceived safety and security for the citizens and promote a higher quality of life in the smart city. Lighting mapping can be matched with car accident mapping of cities and could be extended to perceived security among pedestrians in urban roads and green areas, also related to degradation signs of the built environment. In addition, such an approach could open new scenarios to the adaptive street lighting control used to reduce the energy consumption in a smart city: the perceived security of an area could be used as an additional index to be considered during the modulation of the level of the luminosity of street lighting. An example of a measurement set-up is described and tested at the district level to define how to implement an extensive monitoring campaign based on an extended research schema.

The current perspective about urban development expects 70% of energy consumption will be concentrated in the cities in 2050. In addition, a growing density of people in the urban context leads to the need for increased security and safety for citizens, which imply a better lighting infrastructure. Smart solutions are required to optimize the corresponding energy effort. In developing countries, the cities’ lighting is limited and the lighting world map is strongly significant about the urban density of the different areas. Nevertheless, in territories where the illumination level is particularly high, such as urban contexts, the conditions are not homogenous at the microscale level and the perceived security is affected by artificial urban lighting. As an example, 27.2% of the families living in the city of Milan, ombardy Region, Italy, consider critical the conditions of lighting in the city during the night, although the region has diffused infrastructure. The paper aims to provide a local illuminance geographic information system (GIS) mapping at the neighborhood level that can be extended to the urban context. Such an approach could unveil the need to increase lighting to enhance the perceived safety and security for the citizens and promote a higher quality of life in the smart city. Lighting mapping can be matched with car accident mapping of cities and could be extended to perceived security among pedestrians in urban roads and green areas, also related to degradation signs of the built environment. In addition, such an approach could open new scenarios to the adaptive street lighting control used to reduce the energy consumption in a smart city: the perceived security of an area could be used as an additional index to be considered during the modulation of the level of the luminosity of street lighting. An example of a measurement set-up is described and tested at the district level to define how to implement an extensive monitoring campaign based on an extended research schema.

Rating systems are assumed as instruments to endorse architectural quality, reliability, energy efficiency, eco- nomic convenience and finally expose a sustainability label. Moreover, these tools can be tied to a BIM model. The aim of this research is to set up a lean methodol- ogy to fulfil CESBA requirements through Construction to Operations Building infor- mation exchange – COBie in project on existing buildings adopting the BIM Bronze approach by UK Ministry of Justice - MoJ. This will allow to develop a semantic model and to extract sustainability reports in a post-construction phase, thereby minimis- ing the cost of gathering information on ex- isting buildings. An illustrated example re- garding energy criteria of CESBA protocol will be presented to further the proposed approach. I rating system sono strumenti per la determinazione della qualità, dell’affidabilità, dell’efficienza energetica ed economica degli edifici, finalizzati all’attribuzione di un certificato di sostenibilità. Tali strumenti possono essere integrati in un modello BIM. Questa ricerca propone una metodologia sempli- ficata per soddisfare i requisiti CESBA attraverso un modello Construction to Operations Building information exchange (COBie) per gli edifici esistenti, in base all’approccio BIM Bronze sviluppato dal Ministero della Giustizia inglese. In questo modo, è possibile estrarre report sulla sostenibilità, minimizzando i costi per la gestione delle informazioni. Sarà, infine, presentato un esempio illustrativo riguardante i criteri di risparmio energetico del protocollo CESBA.