This paper investigates the low-carbon product manufacturer’s different decision behavior in the offline traditional retail channel and online e-commerce channel when the carbon trading market has been established. The low-carbon product manufacturer is both in the carbon trading market and product market. In the former market, the manufacturer can gain profits by selling its emission quota. In the latter market, the manufacturer has two sales channel options, the traditional offline retailer and the online e-commerce platform. These two channels make two supply chains, the manufacturer-led offline one and the e-commerce platform-led online one. This paper combines the carbon trading market with the product market, formulates different Stackelberg game models, compares the manufacturer’s decision under two channels and the impact of channels on the carbon emission, does sensitivity analysis, and verifies the conclusions with numerical examples. Our findings are (1) the establishment of the carbon market will help the manufacturer reduce its carbon emission, especially for those sensitive to the carbon price and those with too much emissions; (2) whether the manufacturer turns to the online channel depends on the consumers’ sensitivity to the sales service, and consumers’ attention will guide the way to the online mode; (3) which mode is conducive to carbon emission reduction relies on the product type: the e-commerce platform does well for daily necessities of mass production while the traditional channel is better for experience goods.

Abstract. Smart low-carbon city as a rapidly developing field is the most investment value of the new project in the 21st century.In this paper, we propose an intelligent low carbon urban lighting system using fuzzy control and neural network control algorithm, it can realize intelligent, low carbonization and human nature of urban . Intelligent low-carbon urban lighting system overviewIntelligent low-carbon city is in the background of the urban facilities, buildings, roads, community , the integration of advanced network communication technology, automatic control technology, embedded technology and so on ,achieving "the wisdom of low-carbon city."Application of fuzzy control and neural network control algorithm, this paper puts forward a intelligent low carbon city lighting system, introduction of multi-sensor data fusion technology, according to characteristics of intelligent low carbon city road, the fuzzy control and neural network control technology embedded into the control algorithm of lighting system, the overall framework of the lighting control system was constructed,using CC2530, STM32 as control chip, using the IEEE. 802.15 as the software design,according to Z -stack protocol stack wireless communication program design, to realize the communication between wireless lighting nodes and the main controller,by adjusting the fuzzy rules and membership functions of the fuzzy control system ,the BP neural network control mode based on Mamdani is determined, which can realize the intelligent , low carbon and human nature of the intelligent low-carbon city, meet the needs of low-carbon city, improve the quality of life, reduce operating costs and achieve energy saving and environmental protection. System design.Design principles of smart low-carbon city: lower cost, energy saving, simple and practical, scalable. Based on intelligent low carbon urban lighting system of STM32 and 2.4G wireless control is mainly composed of intelligent low carbon city control center, wireless lighting control node, network interface and lighting control module [1] ,the overall schematic diagram of the lighting system is shown in Figure 2 International Symposium on Energy Science and Chemical Engineering (ISESCE 2015)