Modeling Cost-Effectiveness with Energy Saving for Lighting Device Decisions

The technical improvement plays an important role in the strategy for the progress of lighting equipment. However, although effective lighting equipment has been significantly progressed in the past two decades, most studies are focused on technical achievement without understanding the cost-effectiveness fundamental to promotional scheme. This article evaluates the functional performance between effective vs. non-effective lighting equipment on cost-effectiveness with energy saving and transformed to equipment carbon reduction by fuzzy multiple objective programming model (FMOP). A number of florescent lamps from market to collect data of costs, functions, use of length, and, their relationship for use in energy consumption, and then applied FMOP to analyze cost-effectiveness. Study results not only compare the energy savings in terms of equivalent carbon emission for the cost effectiveness of lighting equipment selection but also identify the applicability of fuzzy theories for the specific florescent lamp cases and therefore use in subsidiary decision makings for the governmental authorities.