Thailand Smart Grid Adoption in Business Sector for Electricity Consumer

Authors

  • Thanapon Saengsuwan

Keywords:

Smart grid technology, Technology acceptance model, Smart grid acceptance, Customer acceptance

Abstract

The smart grid technology is one of advanced technologies to enhance electric efficiency for energy management system (EMS) in the world.  It is an innovation that has been practicably combined between information and communication technology (ICT) integrated with transmission grids. Smart grid enables two-way communication and transfers reliable and real-time information. As for consumer technology acceptance is recently the most important technology to public. However, many studies have been investigated consumer acceptance technology and perception to smart grid. Various theories and models related to technology acceptance have been clearly investigated and described. Especially, there is focused most well-known model such a Technology Acceptance Model (TAM) integrated with technology acceptance theories and models such as Diffusion of innovation theory and Social cognitive theory and Perceived risk. This study is aimed to discover a hybrid model from the mentioned theories and models by using determinants that affect the acceptance and impact on the variance of the smart grid technology to consumers. These issues might affect the decision of customers in the use of innovative technology. In addition, these output and outcome could be approached a proposal recommendations in the form of actionable steps to development for regulators, policymakers, system designers and developers such as smart grid provider, smart meter manufacturer and appliance manufacturers to influence current policies and system design and implementation processes. These considerations take the consumers perspective rather than designing, developing and deploying a smart grid in without understanding consumers, their nature and what affect their opinions and behaviors.

References

Ministry of Energy. (2015). Smart Grid Network Development of Thailand Roadmap 2015 – 2036. Retrieved July 5, 2016, from http://www2.eppo.go.th/power/smart_grid%20plan.pdf.

Sigha Chaweesruk and Sununtar Wongjaturaphat. (2012). The Information Technology Acceptance Theory. KMIT Information Technology Journal.

Energy Policy and Planning Office. (2015). Thailand Power Development Plan 2015 (PDP 2015). Ministry of energy.

A. Bandure. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall. Englewood Cliffs, NJ.

Accenture, 2010. Understanding Consumer Preferences in Energy Efficiency. Accenture, Dublin.

Ahmad Rozelan Yunus, Fairus Abu, Juhaini Jabar, 2Arfah Ahmad. (2015). Empowering Smart Customer to Participate in Electricity Supply System. Australian Journal of Basic and Applied Sciences. 9(4) Special 2015, 110-114.

A. Bandure.(1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall, Englewood Cliffs, NJ.

Chan Kook Park, Hyun Jae Kim, Yang Soo Kim. (2012). An empirical study of the smart grid technology acceptance model in Korea. 2sd IEEE ENERGYCON Conference & Exhibition, 2012/ICT for Energy Symposium. 836-841.

Chan-Kook Park, Hyun-Jae Kim, Yang-Soo Kim. (2014). A study of factors enhancing smart grid consumer engagement. Energy Policy, 72, 211–218.

Davis, F. (1985). A technology acceptance model for empirically testing new end-user information systems: theory an result. Unpublished Doctoral dissertation, MIT Sloan School of Management.

Davis, F., Bagozzi, R., & Warshaw, P. (1989). User Acceptance of Computer Technology: a Comparison of Two Theoretical Models. Management Science, 982-1003.

D.R. Compeau, and C. A. Higgins (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly19, 2, 189-211.

E. Roger. (1995). Diffusion of Innovations. Free Press. New York.

EcoAlign, (2010). Separating Smart Grid from Smart Meters? Consumer Perceptions and Expectations of Smart Grid. EcoAlign, Boston.

IBM, 2011. Knowledge is power. White Paper. IBM, New York.

Jacky Chin, Shu-Chiang Lin. (2015). Investigating Users’ Perspectives in Building Energy Management System with an extension of Technology Acceptance Model: A Case Study in Indonesian Manufacturing Companies. Procedia Computer Science 72, 31 – 39.

Jui-Sheng Chou, Changwan Kim, Thanh-Khiet Ung, I Gusti Ayu Novi Yutami, Guo-Tai Lin, Hyojoo Son. (2015). Cross-country review of smart grid adoption in residential buildings. Renewable and Sustainable Energy. 48, 192–213.

Kim, H.J., Park, J.H., Park, C.H., 2012. A study on key influencing factors in smart grid consumer engagement. Informatiz. Policy 19 (1), 91–106.

Layla AlAbdulkarim, Zofia Lukszo, Theo Fens. (2012). Acceptance of Privacy-Sensitive Technologies: Smart Metering Case in The Netherlands. Third International Engineering Systems Symposium CESUN 2012, Delft University of Technology.

Pike Research, 2010. Smart Grid Consumer Survey. Pike Research, Boulder.

SGCC (Smart Grid Consumer Collaborative), 2010. Consumer Voice: Results of Baseline Focus Groups. SGCC, Atlanta

Wu, J.H., Wang, S.C., 2005. What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Inf. Manag. 42, 719–729.

Zpryme, 2011. The New Energy Consumer. Zpryme, Mountain City.

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Published

2018-01-16

How to Cite

Saengsuwan, T. (2018). Thailand Smart Grid Adoption in Business Sector for Electricity Consumer. Journal of Renewable Energy and Smart Grid Technology, 12(2), 13–20. Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/76147