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Blog Posts
Construction Cost Estimating Software Survey 2001
In order to assist construction cost estimators to select a readily available software system an in-depth survey was conducted by the University of Texas at Austin, Civil Engineering Department, during the spring of 2001.
Application of BIM and GIS in Class 1-5 Cost Estimates
Building Information Modeling (BIM) and Geographic Information Systems (GIS), based on open standards, transform the way the cost engineering industry works and will work in the future.
How to Estimate Construction Costs of a Nuclear Power Plant?
In today’s technologically advanced and competitive economy, a growing interest can be observed when it comes to the use of nuclear fission energy to guarantee a reliable load-base power and carbon free electricity, while there are more cost competitive nuclear projects are in developing countries than in developed countries.
How Can Nuclear Construction Costs Be Reduced? Five Practical Tips to Improve Nuclear Project Economics
In the actual low carbon economy, there is a growing interest in the utilization of nuclear fission energy and in the long term of nuclear fusion energy.
Cost Estimate Classification System - As Applied in Engineering, Procurement, and Construction for the Nuclear Power Industries
As a recommended practice (RP) of AACE International, the Cost Estimate Classification System provides guidelines for applying the general principles of estimate classification to nuclear new build and modification project cost estimates (i.e., cost estimates that are used to evaluate, approve, and/or fund projects).
Application of Parametric Models for Cost and Carbon (CO2) Footprint Estimating in Infrastructure Projects
As the environmental impact of infrastructure mega projects becomes increasingly important in early concept decisions, especially due to CO2 emission reduction commitments of developed countries, it is essential that consultants and project owners can assess not only budgetary costs but also the overall embodied CO2 of their project designs.
Automated cost and carbon estimation using artificial intelligence techniques
The global construction industry is currently very inefficient in assessing the capital costs and CO2 footprint of proposed projects, during the preconstruction phase. This fact leads to inefficient cost and CO2 data capture and assessment for the whole life cycle of projects.
