Environmental impacts cost assessment model of residential building using an artificial neural network

Purpose: Buildings are major contributors to greenhouse gases (GHG) along the various stages of the building life cycle. A range of tools have been utilised for estimating building energy use and environmental impacts; these are time-consuming and require massive data that are not necessarily available during early design stages. Therefore,...

Segmented energy tariff design for flattening load demand profile

In this paper, a segmented energy tariff design is proposed to incentivize consumers to flatten load demand. This energy tariff focuses on consumption levels instead of consumption periods. Energy storage is an effective strategy to help to maintain the imported energy from grid below the threshold without affecting the comfort of energy...

Stop Boiling the Oceans: A Review on Energy Efficient Proof of Work Alternatives

Bitcoin’s underlying consensus algorithm, Proof of Work, is of inefficient nature. Due to the sheer size that Bitcoin has grown to over the recent years, power consumption has increased so much that the Bitcoin network has been estimated to consume more power than the whole country of Ireland. This paper investigates several alternatives to the...

Fast Pump Scheduling Method for Optimum Energy Cost and Water Quality in Water Distribution Networks with Fixed and Variable Speed Pumps

Supplying high-quality water at competitive cost is a major challenge for water utilities worldwide, especially with ever increasing water quality standards and energy prices. A number of pump scheduling methods for optimizing simultaneously water quality and energy cost have been developed already. However, none of these methods is ideal...