In accordance with decision 9/2 of the Intergovernmental Negotiating Committee of the Framework Convention on Climate Change (INC/FCCC) and endorsed by the Conference of the Parties in its decision 3/CP.1 (FCCC/CP/1995/7/Add.1), the secretariat is to make available, in the official languages of the United Nations, the executive summaries of the national communications submitted by Annex I Parties.

United Nations Framework Convention on Climate Change

Regression analysis for energy demand projection: An application to TIMES-Basilicata and TIMES-Italy energy models

Wind energy is one of the abundant, cheap and fast-growing renewable energy sources whose intensive extraction potential is still in immature stage in India. This study aims at the determination an...

https://journals.sagepub.com/doi/pdf/10.1177/0144598719875276

Assessment of wind energy potential across varying topographical features of Tamil Nadu, India:

Industry 4.0 and demand forecasting of the energy supply chain: A literature review

The present “condition-based maintenance decision making” of power transformers will cause large financial losses to electric enterprises, because of not having taken reliability and economy into consideration. To solve this problem, a maintenance decision-making model with the consideration of reliability and economy was established to choose the best maintenance strategy for oil-filled transformers. With the corrected parameters of operating environment and maintenance records, a condition assessment model including DGA test, oil test, and the electrical test was proposed to decide the comprehensive health index of transformers. After establishing the relationship between the fault rate and the comprehensive health index, a reliability evaluation model was formed, which can simulate the impact of different maintenance types. Taking the reliability and economy operation of transformers into consideration, a particle swarm optimization method was developed to solve the optimization model and select the best maintenance strategy according to the current condition of transformers. Two cases were studied and the results demonstrate that the proposed model offers an improved maintenance strategy.

/pdf/a-novel-maintenance-decision-making-model-of-power-50e882v07k.pdf

A Novel Maintenance Decision Making Model of Power Transformers Based on Reliability and Economy Assessment

Conventional power generation mainly depends on natural gas and diesel oil in Brunei Darussalam. The power utility company is now thinking of power generation using natural wind. In this paper, wind energy, being one of the most readily available renewable energy sources, was studied. The wind characteristic, velocity and directions were studied using Weibull distribution based on the measurement of wind speed at two different locations in Brunei Darussalam. These wind speed distributions were modeled using the Wind Power program. The wind rose graph was obtained for the wind direction to analyze the wind power density onshore and offshore. Based on this analysis, it has been found that the wind speed of 3 to 5 m/s has a probability of occurrence of 40%. Besides, the annual energy production at a wind speed of 5 m/s has been found to be in the range between 1000 and 1500 kWh for both the locations in Brunei Darussalam.

Investigation of wind energy potentials in Brunei Darussalam

Investigation of failure of high voltage bushing at power transformer

Power transformer, bushing, insulator, cable and other related parts of electrical equipment are usually used in the power system network. Catastrophic event like explosion may occur in those network components due to some unexpected reasons. This kind of events triggers the power outage, which in turn results in a financial loss. One of the main causes for such terrible incidents is the imperfect condition of the insulation systems, which leads to deterioration and breakdown of high voltage equipment due to partial discharge. In this paper, the effect of an increase in applied voltage across the three-capacitance model, which represents the phenomena of partial discharge within the solid type insulation, is studied using the EMTP-RV software. Different void sizes and types of dielectric materials are also studied in this paper. The results obtained by the simulation software EMTP-RV and MATLAB are summarized.

Partial discharge modeling with increasing applied voltages across different void sizes

The steady state voltage rise caused by reverse power flows and intermittency in renewable power is the main limiting factor for integration of distributed generators in medium and low voltage distribution lines. With the advancement in smart inverter technologies, the Volt-Var control using the remaining capacity of the inverter can be used to provide effective voltage control in distribution systems. In this paper, the efficacy of Volt-Var control on two PV solar farms connected to a realistic feeder in Ontario, Canada, is demonstrated for increasing the hosting capacity up to the thermal limit of the feeder. Implementation of such smart inverter controls will greatly help in the integration of PV solar systems in power grids.

Increasing Hosting Capacity of PV Solar Systems using Smart Inverter Volt-Var Control

Energy use is on the rise due to an increase in the number of households and general consumptions. It is important to estimate and forecast the number of houses and the resultant energy consumptions to address the effective and efficient use of energy in future planning. In this paper, the number of houses in Brunei Darussalam is estimated by using Spline interpolation and forecasted by using two methods, namely an autoregressive integrated moving average (ARIMA) model and nonlinear autoregressive (NAR) neural network. The NAR model is more accurate in forecasting the number of houses as compared to the ARIMA model. The energy required for water heating and other appliances is investigated and are found to be 21.74% and 78.26% of the total energy used, respectively. Through analysis, it is demonstrated that 9 m2 solar heater and 90 m2 of solar panel can meet these energy requirements.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gch2.201900065

Syeed Hasan

Papers

Investigation of wind energy potentials in Brunei Darussalam

Investigation of failure of high voltage bushing at power transformer

Partial discharge modeling with increasing applied voltages across different void sizes

Increasing Hosting Capacity of PV Solar Systems using Smart Inverter Volt-Var Control

Modeling and Forecasting of Energy Demands for Household Applications