Browsing by Author "Jayaratne, W"
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- item: Conference-Full-textBarriers to use of artificial intelligence on energy conservation in government buildings: awareness as a moderating function of technology acceptance(IEEE, 2021-07) Jayaratne, W; Dasanayaka, SWSB; Mudalige, D; Adhikariwatte, W; Rathnayake, M; Hemachandra, KGovernment Buildings enable occupation to thousands of inhabitants, including customers and the management. In these places, everybody uses free energy since nobody feels the need for conservation as there is no impact to their pocket at the end of the month. According to the Ceylon Electricity Board (CEB) of Sri Lanka sources, the electricity cost of these places exceeds 7.5Billion Rs. It is approximately equivalent to 3% of the annual turnover of CEB. Because of this free energy, nobody is interested in conserving it even though there is a severe energy shortage. Therefore, there is an empirical novelty in investigating this abandoned resource towards conserving energy with artificial intelligence (AI) devices. The study identified five major factors that disturb the use of devices with artificial intelligence. The same instrument develops as the policy directive on the conservation of energy in government buildings.
- item: Conference-Full-textCritical success factors of international technology transfer: a case of the Norochcholai Coal Power Project in Sri LankaJayaratne, W; Dasanayaka, SWSB; Mudalige,DSuccess and failure of Norochcholai Coal Power Plant (NCPP) in terms of technology transfer aspect is a debatable subject in Sri Lankan energy scene. This NCPP is the country’s largest coal power based energy generator which came into the operation in three steps of 300MW as Phase 1 in the year 2011, Phase II in year 2013 and Phase III in year 2014. The total investment of the project was 1.35 Billion USD and out of which 450Million USD was received as a soft loan from the Export and Import (EXIM) Bank of China. The project construction was undertaken by the China Machinery Engineering Corporation (CMEC) of China and it successfully came in to the light amidst the enormous amount of objections coming from different environmental and social pressure groups. After few years of operation, this power plant failed several times causing thousand hours of generation loss while incurring nearly 6.5 Billion Rupees reduction of income to the national economy due to the unavailability of the plant as per the Ceylon Electricity Board (CEB) Annual Report 2015. In consequent to this, most of the expectations diluted and the negative impacts of environmental, social and cultural factors were highlighted by the media several times. Therefore, the identification of critical success factors during the technology transfer stage of this power plant is of extremely important subject. The main methodology of this study is secondary data, complements with interviews with various stake holders. It reviewed 34 success factors of technology transfer and found that 14 factors are critical success factors in terms of technology transfer. The recommendations of this study can be used as guides for designing suitable mechanism for technology transfer aspect of incoming coal power plants in Sri Lanka and other countries of similar background.
- item: Article-Full-textThe Impact of incentives and regulatory regimes on changing customer behavior : a study based on the Power Utility Customer Segments in Sri Lanka(2021-12) Jayaratne, W; Dasanayaka, S; Mudalige, DThis study aims to develop a scientific model to ascertain the impact of incentives, regulatory regimes, and new technology products on the behavior of different customer segments of the electricity market, in order to conserve energy and address the current problem of peak power deficit in Sri Lankan electricity sector
- item: Conference-Full-textMediating effect of consumer behavior on the intention of self generation and energy conservation in Sri LankaJayaratne, W; Dasanayaka, SWSB; Mudalige, DThis paper explores the mediating effect of subjective norms and perceived behavioral control of consumers on running their generators under the selfgeneration scheme of the Ceylon Electricity Board (CEB). 300 self-generating consumers in Colombo and Kalutara districts were investigated by means of structured questionnaire interviews to ascertain the nature of the issues prevailing with respect to the different incentive schemes introduced by the CEB. The data analysis was carried out using the Structural Equations Modeling technique available in AMOS 25 software package. The findings show that the bulk supply consumers who possess standby and prime power generators were found to be not financially strong to fully operate, the existing equipment too old and having poor performance, lack of fuel storage capacities at sites, environmental issues, lack of firm power to cover entire organization with available resources, high cost of generator spare parts, services and maintenance, lack of trained staff and bad previous experience on given incentive schemes etc. However, 70% of generator owners stated that the financial grant offered by the utility is insufficient to run their own generators whilst 33% of them do not possess the prime power to cater their total demand 24% of industrial consumers want CEB to hire a generator for them to operate during power outages considering the poor incentive level. At the same time, 47% of consumers expected a financial grant or possib e incentive to be paid in advance in order to relieve them from the additiona financial burden coming to their core business.
- item: Conference-Full-textModel for measuring the effect of utility interventions on change of consumer behavior on energy savings: a study based on Sri Lankan domestic sector(IEEE, 2020-07) Jayaratne, W; Dasanayaka, SWSB; Mudalige, D; Edussooriya, C; Weeraddana, CUS; Abeysooriya, RPCeylon Electricity Board (CEB) introduces different intervention mechanisms to conserve electricity from time to time. These interventions mainly include financial incentives, technical supports, and regulatory influences etc. But utility's sources reveal that those interventions are ineffective and waste of resources in the long run. Therefore, this paper examines the possible causes of such failures and suitable remedial actions. The proposed new model bridges the existing knowledge gap between the theoretical and empirical implications of energy conservation. Findings show that utilities have failed to match incentives, tariff regimes, regulations, and technology among different levels of consumer segments scientifically. Especially, the consumer groups belong to a monthly average consumption of 31- 90kWh, 91-120kWh, and 121-180 kWh are having a very high potential for energy conservation via various incentive schemes whereas consumers above 181kWh units have to be motivated towards energy conservation through various tariffs and regulatory influences. The consumers below 30kWh units bear no sense of responsibility and not even respond to generic energy conservation aspects or to regulatory regimes. Therefore, specific financial transfers and employment opportunities need to be introduced on this segment which is at the bottom of the pyramid.
- item: Conference-Full-textUse of levelized costs and screening curves to select the optimum generation mix for sri lankan electricity sectorJayaratne, W; Dasanayaka, SWSB; Mudalige, DSri Lanka is facing problems in selecting optimum electricity generation mix due to the environmental pressures and economic constraints. With limited hydro resources which have already been harnessed up to maximum level, the only options available are diverting to alternative sustainable energy sources. In this context this study assesses the available generation alternatives for Sri Lanka in terms of financial, social and environmental constraints by using levelized generation cost and screening curves mechanism. Each generation option is thereby selected on analytical hierarchical process (AHP) technique based on four attributes of levelized cost, energy security, environment damage cost and social benefits and thereby optimum generation mix is decided. The identified generation options have been analyzed for next twenty year of life span for calculation of levelized generation cost, energy security and technological constraints, environmental damage cost and social benefits with analytical hierarchical process technique. Research findings show that coal and combined cycle diesel power stations are suitable for base load and high capacity operations at 80% to 90% loading at higher energy security with maximum social benefits. However, hydro and wind power stations are suitable for running at 30% to 40% loading at lowest levelized generation by minimizing environmental damage cost but not base load operations. Presently, Hydro power stations are running for base load operations which have been proven to be re-evaluated in this study despite the proposed generation mix does not include solar power generation due to many factors. Therefore, it is recommended to run existing hydro power generators at 30% to 40% loading at base load operations while coal and combined cycle diesel generators to be run at 80% to 90% throughout the clock. The methodology employed and the policies derived can be used as guides to similar types of research in other countries as well.