Resi-Cost® Resi-Cost® Online Residential Construction Cost EstimatorKnowledge BuildersTALK Building|Dream Green Building How-To Books Links (Web) Newsletter Tech Notes VideosSoftware BeamChek Bidding CAD
We focus on quantifying every aspect of a project, utilizing an assembly based estimating software. The benefit of this program is the detail that has been taken in building our database and the formulas associated with it to provide the most accurate count of materials possible on the final ...
To provide an accurate and cost effective 3D rendering and masonry estimator service to all clients through our team of commercial building experts. Our Plan To provide a realistic visualization of the scale and size of the project along with an in-depth review of the total costs. ...
Residential Remodeling Cost Estimator 2010 Edition 作者:Bill O'Donnell 出版年:2010-1 页数:260 定价:$ 56.44 ISBN:9780578047829 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐
29. The residential construction estimation process of claim 1 further including outputting functionally descriptive material capable of use in a general building specification. 30. A parametric based residential construction cost estimation process not requiring home floor plans or elevations comprising the ...
The value of domestic building energy efficiency – evidence from Ireland Energy Econ., 40 (2013), pp. 943-952, 10.1016/j.eneco.2013.07.020 View PDFView articleView in ScopusGoogle Scholar International Energy Agency, 2022 International Energy Agency M. Special Report on Solar PV Global Supply ...
A possible explanation is that the investment cost of energy-efficient retrofits per household in a multi-dwelling building is significantly lower than for single-dwelling buildings. Furthermore, households in multi-dwelling buildings have the legal obligation to contribute monthly to the reserve fund ...
Keywords: ant colony optimization; artificial neural network; construction waste; multifamily house; multifamily building 1. Introduction The amount of construction waste has been increasing yearly and accounts for 10% to 30% of landfill use worldwide [1]. This large volume is due to the fact ...
Machine learning has also been used in the building sector, mainly to predict the energy consumption of buildings. However, there have been no studies in which machine learning has been used to predict occupant behavior. Machine learning techniques are also expected to improve prediction accuracy in...
green roof; life cycle cost; energy renovation; sensitivity analysis1. Introduction The building sector is responsible for about 40% of total global final energy use in some developed countries as well as 40% of total greenhouse gas emissions [1]. Additionally, in the Republic of Serbia, ...