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This research paper aims first to present in a digital map a class information about surface temperature in domestic buildings by means of thermal imagery. The classes are relative to the particular temperature distribution and for the particular night of the survey. Classification assigns every pixel into one of five classes based on where the pixel falls in the histogram, into an integer between 1 and 5, with 1 representing being the “coolest” pixels and 5 being the “hottest” resolution, based on a case study acquired over Newcastle upon Tyne (United Kingdom). The ultimate aim is combine this information with building level data set for Newcastle and adds on the energy modelling aspect through linking with the English House Survey (EHS) as input to the Cambridge Housing Model (CHM). This provides the means to produce building level energy use estimates and surface temperature, which in turn can be analysed both spatially and aspatially. This building level approach provides the potential for energy planners and other bodies to model energy interventions measures with flexibility in scale and to potentially adapt plans to the spatial variability of the local area characteristics. International Journal of Sustainable Energy Planning and Management, Vol 22 (2019)

The Amazon rainforest regulates the global temperature and is one of the most biodiverse places on Earth. Nonetheless, deforestation, land-use changes, monoculture, large distances from community to community, limited agriculture production and climate change effects present substantial obstacles for the region. In addition, many Amazonian indigenous communities suffer from energy poverty and lack regular access to electricity, proper wastewater treatment as well as adequate residue management. Sustainable energy solutions based on biowaste might help Amazonian communities manage both environmental and socioeconomic concerns. The goal of this research is to figure out if biowaste could be used by Amazonian communities as a source of renewable energy. Biowaste consists of organic materials that can produce biogas and biofuels, such as agricultural residues, animal waste, and food manure. Then, the environmental and social implications of biowaste-based renewable energy plants in the Amazon Region of Ecuador were assessed, which look to counteract the fossil fuel dependence. This type of study illustrates the potential for biowaste-based energy alternatives to provide rural communities with affordable energy while lowering greenhouse gas emissions and promoting sustainable land use. It was concluded that biowaste-based renewable energy alternatives have the potential to alleviate both the environmental and socioeconomic concerns facing Amazonian communities. Government policy, community technical training, and project monitoring for biochemical and thermal projects should all support it. By redefining biowaste-based renewable energy, it is possible to encourage sustainable development in the region while protecting the Amazon rainforest's vital ecosystem services.