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A NetZero Energy Home (NZEH) is designed, modelled, and constructed to produce as much energy as it consumes on an annual basis, with the required energy generated from renewable resources. However, the actual performance of an NZEH may vary from the design objective, and the performance of a given NZEH may differ from other NZEHs. In order to examine the actual energy performance and identify discrepancies among multiple NZEHs, a research project has been initiated in which six NZEHs in Edmonton and Calgary, Canada, built by Landmark Group of Companies, are monitored, assessed, and compared in this research. Complete annual data has been collected for four of the NZEHs to date, and the results show the average energy balance, excluding the NZEH with a period of non-occupancy (listed for sale), reaches −1.4%, which is very near the targeted balance. The actual energy performance is analyzed and compared for the monitored NZEHs by category, including space heating, domestic hot water (DHW) heating, ventilator, and base loads (including major appliances). Overall, space heating and cooling are found to account for more than 50% of the total energy usage of the NZEHs, except for one listed for sale; all the base loads of the analyzed NZEHs are lower than the base load predicted in HOT2000 (19.5 kWh/day). The factors contributing to energy performance variations are also analyzed by category in this paper. This research thus addresses the actual energy performance and discrepancies among multiple NZEHs in cold regions; the research results can be referenced to improve building operation and future design of NZEHs. [ABSTRACT FROM AUTHOR]

Waste collection management plays a crucial role in controlling pandemic outbreaks. Electric waste collection systems and vehicles can improve the efficiency and effectiveness of sanitary processes in municipalities worldwide. The waste collection routing optimization involves designing routes to serve all customers with the least number of vehicles, total traveling distance, and time considering the vehicle capacity. This paper proposes a dynamic location-arc routing optimization model for electric waste collection vehicles. The proposed model suggests an optimal routing plan for the waste collection vehicles and determines the optimal locations of the charging stations, dynamic charging arcs, and waste collection centers. A genetic algorithm and grey wolf optimizer are used to solve the large-sized random generated NP-hard location-arc routing problems. We present a case study for the city of Edmonton in Canada and show the grey wolf optimizer outperforms the genetic algorithm. We further demonstrate the total number of waste collection centers, charging stations, and arcs for dynamic charging needed to ensure a minimum required service for electric vehicles throughout Edmonton's entire waste collection system. [Display omitted] • The waste collection routing optimization optimizes routes serving customers. • Optimized routes use minimum vehicles, distance, and time with capacitated vehicles. • A dynamic location-arc routing optimization is proposed for electric waste collection vehicles. • Genetic algorithms and grey wolf algorithms solve the large NP-hard problem. • A case study in Canada shows grey wolf algorithm outperforms the genetic algorithm. [ABSTRACT FROM AUTHOR]

Increasing clothing waste has prompted the need for alternative disposal methods to landfilling. While previous studies have examined consumer attitudes toward clothing consumption and use, research on clothing disposal options and behaviours in Canada is limited. A greater understanding of consumer clothing disposal practices and the context in which these practices take place is needed to better connect clothing waste streams and opportunities to reduce clothing sent to landfill. Edmonton provides a unique Canadian contextual opportunity to examine behaviour related to clothing disposal given its advanced set of systems available to reduce clothing sent to landfill. After describing the context, this paper focuses on an online survey of 318 residents in Edmonton, Alberta to explore the motivations and behaviour related to clothing disposal. Results of the study provide insights into the dynamics between textile waste and the systems that support re-use and recycling of textile waste in Edmonton and explore alternatives that could be implemented to reduce textile waste. Findings demonstrate opportunities for Edmonton's waste management to extend the life of clothing or generate value-added products from unwanted clothing via existing infrastructure as well as consumer willingness to take part in sustainable clothing disposal practices. • Edmonton offers unique option for unwanted clothing through waste-to-biofuels initiative. • Study participants interested in sustainable clothing disposal methods. • Current and potential pathways of clothing waste in Edmonton illustrated. [ABSTRACT FROM AUTHOR]