Developing a long-term system plan for sustainable water supply is a challenging task due to system complexity and future uncertainties in water demands and source availability.
The Nearest Neighbors Algorithm (NNA) is used to methodically synthesize optimal networks matching bioethanol demands and sources.
Heating and cooling of a building is a major energy demand and a source of CO2 emission in the atmosphere.
The total network power loss, which is defined here as the energy consumption of operation (ECO), is largely dependent on the system operation mode rendering the load demand and power source allocation.
It also considers the social acceptance of the plant, steps for scientific, engineering, social and environmental acceptance and environmental mitigation measures and the energy demand and alternative sources of energy.
Dramatic changes in water quality parameter values can result from a variety of benign causes such as changes in water demands, system operations, and source water variability.
Phase change material (PCM) based latent heat thermal storage (LHTS) systems provide an attractive solution to bridge the gap between energy source and demand, if source is intermittent and time dependent.
Environmental groups are complaining about the composition of a commission created to study rising energy demand and available fuel sources in the state.
China's interest in Russian hydrocarbons is motivated by a desire to meet growing demand and diversify import sources.
Managing demand and matching multiple sources of supply and demand through a smart grid (which collects information on grid conditions, use and costs across a large network, with multiple connections, and bidirectional flows) is becoming increasingly important.
