Sentence examples for minimizing life cycle from inspiring English sources
As results, information about trade-offs between the two objectives (minimizing life cycle greenhouse gas emissions and maximizing discounted net present value) as well as recommendations on the design of the regulation is derived.
The model is designed as a multi-objective genetic algorithm to provide the capability of optimizing multiple housing objectives and criteria that include minimizing carbon footprint and water usage during housing operational phase, maximizing thermal comfort, enhancing indoor air and lighting quality, improving neighborhood quality, and minimizing life cycle cost.
Optimized system configurations and operation signals are found under three different scenarios: minimizing life cycle cost as single objective, minimizing capital cost and annual fuel energy consumption as bi-objective, and minimizing life cycle cost considering uncertainties in load profiles.
The optimum system is defined and obtained through minimizing life cycle CO2 emissions and costs as well as maximizing exergy efficiency.
Against this background, we develop an optimization model for simultaneously minimizing life cycle greenhouse gas emissions and maximizing discounted net present value in order to analyze the overall system of biomass cultivation, (bio fuel production and blending.
In addition to the economic objective, the model also incorporates an environmental objective of minimizing life cycle greenhouse gas emissions, analyzing the trade-off between the economic and environmental considerations.
The objectives of the optimization are to minimize life cycle energy (LCE) and life cycle costs (LCC).
The primary objective is to minimize life cycle cost and secondary objective is to minimize CO2 emissions from the system.
ZeeWeed® 1000 is a new version of the ZeeWeed® immersed membrane designed to minimize life cycle costs.
This paper proposes a framework of building systems optimization designed to minimize life cycle cost by combining optimization algorithms and a comprehensive building life cycle cost model.
Optimization was performed by coupling a genetic algorithm to a building simulation engine, and varying passive conservation parameters to minimize life cycle cost and improve performance simultaneously.
