Aluminum Storage in Rutile-based TiO2 Nanoparticles

Tianyu Zhao, Manuel Ojeda, Jin Xuan, Zhan Shu, Huizhi Wang
2019 Energy Procedia  
District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand
more » ... the heat demand -outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations. Abstract Aluminum storage in rutile-based TiO2 nanoparticles was for the first time investigated. Electrochemical characteristics of rutilebased TiO2 nanoparticles as an electrode for aluminum-ion batteries were studied using cyclic voltammetry, chronopotentiometry and electrochemical impedance spectroscopy. The first discharge capacity of 29.4 mAh·g -1 was achieved, and the value remains 22.6 mAh·g -1 after 50 cycles. The highest coulombic efficiency achieved at 89.8%. Abstract Aluminum storage in rutile-based TiO2 nanoparticles was for the first time investigated. Electrochemical characteristics of rutilebased TiO2 nanoparticles as an electrode for aluminum-ion batteries were studied using cyclic voltammetry, chronopotentiometry and electrochemical impedance spectroscopy. The first discharge capacity of 29.4 mAh·g -1 was achieved, and the value remains 22.6 mAh·g -1 after 50 cycles. The highest coulombic efficiency achieved at 89.8%.
doi:10.1016/j.egypro.2019.01.712 fatcat:hh56vl3imngrfoydjkmvur373y