Abstracts – Browse Results
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Acheamfour, V K, Kissi, E and Adjei-Kumi, T (2019) Ascertaining the impact of contractors pre-qualification criteria on project success criteria. Engineering, Construction and Architectural Management, 26(04), 618–32.
Aksorn, T and Hadikusumo, B H W (2008) Measuring effectiveness of safety programmes in the Thai construction industry. Construction Management and Economics, 26(04), 21.
Cheung, F K T, Wong, M and Skitmore, M (2008) A study of clients' and estimators' tolerance towards estimating errors. Construction Management and Economics, 26(04), 349–62.
Forsythe, P J and Sepasgozar, S M (2019) Measuring installation productivity in prefabricated timber construction. Engineering, Construction and Architectural Management, 26(04), 578–98.
Jayasinghe, R S, Rameezdeen, R and Chileshe, N (2019) Exploring sustainable post-end-of-life of building operations. Engineering, Construction and Architectural Management, 26(04), 689–722.
Jha, K N and Devaya, M N (2008) Modelling the risks faced by Indian construction companies assessing international projects. Construction Management and Economics, 26(04), 337–48.
Kumaraswamy, M M and Dissanayaka, S M (1998) Linking procurement systems to project priorities. Building Research & Information, 26(04), 223–38.
Kyrö, R, Peltokorpi, A and Luoma-Halkola, L (2019) Connecting adaptability strategies to building system lifecycles in hospital retrofits. Engineering, Construction and Architectural Management, 26(04), 633–47.
Lingard, H, Warmerdam, A and Shooshtarian, S (2019) Getting the balance right. Engineering, Construction and Architectural Management, 26(04), 599–617.
Littlefair, P J (1998) Predicting lighting energy use under daylight linked lighting controls. Building Research & Information, 26(04), 208–22.
- Type: Journal Article
- Keywords: control; daylight; energy; lighting; manual switching; photoelectric
- ISBN/ISSN: 0961-3218
- URL: http://journalsonline.tandf.co.uk/link.asp?id=xdx9dke24u1e6myq
- Abstract:
For daylight to make a real contribution to energy efficiency, appropriate control of electric lighting is essential. This paper outlines methods to predict electric lighting use for various different types of control, given internal daylight illuminances. Two different kinds of calculation are considered. Annual lighting use can be determined from yearly daylight data, usually in the form of a cumulative distribution. More sophisticated computer programs use hourly daylight data to give a continuous profile of lighting use and the consequent energy flows and environmental conditions within a building. For both types of application, appropriate algorithms are given to quantify the savings from various types of photoelectric and manual controls.
Luu, T-V, Kim, S-Y, Cao, H-L and Park, Y-M (2008) Performance measurement of construction firms in developing countries. Construction Management and Economics, 26(04), 373–86.
Mallasi, Z (2019) Designing with pixels: parametric thinking for patterning dynamic building facades. Engineering, Construction and Architectural Management, 26(04), 668–88.
Mejlænder-Larsen, & (2019) A three-step process for reporting progress in detail engineering using BIM, based on experiences from oil and gas projects. Engineering, Construction and Architectural Management, 26(04), 648–67.
Naderpajouh, N and Afshar, A (2008) A case-based reasoning approach to application of value engineering methodology in the construction industry. Construction Management and Economics, 26(04), 363–72.
Toor, S-U-R and Ogunlana, S (2008) Problems causing delays in major construction projects in Thailand. Construction Management and Economics, 26(04), 395–408.
Wang, D, Fang, S and Li, K (2019) Dynamic changes of governance mechanisms in mega construction projects in China. Engineering, Construction and Architectural Management, 26(04), 723–35.
Zou, Y and Lee, S-H (2008) The impacts of change management practices on project change cost performance. Construction Management and Economics, 26(04), 387–93.