Listar Investigadores individuais por autor "Kameni, Modeste"
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A bike trips survey as an impetus for the transition to sustainable cities and societies
Orosa, José A.; Kameni, Modeste; Ricciardi, Paola; Buratti, Cinza; Asadi, Somayed; Deuse, Caroline; Saadi, Ismaïl; Reiter, Sigrid (Elsevier, 2023)[Abstract] This study aims to analyse the factors and strategies that condition the bicycle's use and highlight various unknown facts about the electric bicycle. To identify the brakes (examples: road safety, urban culture ... -
Analysis of environmental impacts and costs of a residential building over its entire life cycle to achieve nearly zero energy and low emission objectives
Orosa, José A.; Kameni, Modeste; Sendrahasina, Rakotomalala Minoson; Malmedy, Charline; Simo, Elie; Reiter, Sigrid (Elsevier, 2022)[Abstract] Nowadays, European Union (EU) requests that all its members encourage Net-zero energy and emission in the buildings by 2050. There are multiple studies within the EU related to this field, but few of them are ... -
Building construction materials effect in tropical wet and cold climates: A case study of office buildings in Cameroon
Orosa, José A.; Kameni, Modeste (Elsevier, 2016)[Abstract] This paper presents the results of an experimental study that was conducted in 15 office buildings in the humid and cold tropics during the working hours of the dry and rainy seasons in Cameroon. This was with ... -
Life cycle assessment of radioactive materials from a residential neighbourhood
Orosa, José A.; Kameni, Modeste (Elsevier, 2022)[Abstract] This study was carried out, with the as main purpose to evaluate the impacts of the energy mix on the radioactive material generated by a residential neighbourhood. To achieve this objective, the same neighbourhood ... -
Life Cycle Assessment of Waste Products of a Green‑Neighbourhood
Orosa, José A.; Kameni, Modeste; Reiter, Sigrid (Springer, 2022)[Abstract] This research aims to quantify and to compare the effect of the energy mix of 150 countries on the waste products generated by an eco-neighbourhood. To perform this comparison, the same neighbourhood design is ... -
Prediction of daily global solar radiation and air temperature using six machine learning algorithms; a case of 27 European countries
Orosa, José A.; Kameni, Modeste; Afaifia, Marwa (Elsevier, 2022)[Abstract] The prediction of global solar radiation in a region is of great importance as it provides investors and politicians with more detailed knowledge about the solar resource of that region, which can be very ...