ABSTRACT
Electricity in Bali majorly is supplied by power plants in Java which use fossil-fuelled. With petroleum and coal reserves to run out by 2025, Bali Government has issued Governor Ordinance No. 45/2019 concerning clean energy in encouraging Balinese to use rooftop solar photovoltaic (PV). As backboned tourism industry, Bali has drastically been declining due to COVID-19 causing most hotels and their supporting industries closed, the government then has changed the orientation from urban tourism to rural tourism. This paper proposes rooftop solar PV power plant program in the tourism village representing all 8 regencies and 1 municipality (Sudaji in Buleleng, Catur and others in Bangli, Tenganan in Karangasem, Kerta in Gianyar, Blimbingsari in Jembrana, Paksebali in Klungkung, Bongan in Tabanan, Bongkasa in Badung, and Sanur Kauh in Denpasar). Recent studies show huge potential for solar energy in Bali and the program is aligned with Sustainable Development Goals (Bali SDGs). The study elaborates problems in implementing the program since solar PV is still new and traditions could hinder the people in the tourism village to utilize it. Behaviour approach must be explored to make the program can be successfully done.
ABSTRACT
The objective of Poland’s energy policy is to guarantee energy security while enhancing economic competitiveness and energy efficiency, thus minimizing the power sector’s environmental impact and optimizing the use of energy resources in the country. Poland is not the only European country to rely on coal for power generation. Historical factors and large coal deposits act as natural barriers to increasing the share of renewable energy in the Polish power sector. Yet, today, environmental concerns and climate change are prompting many countries to move away from fossil fuels. Renewable energy sources, such as solar and wind energy, are an alternative to traditional energy generated from fossil fuels. However, investors developing solar and wind farms in Poland encounter numerous problems at each stage of the project. These difficulties are associated mainly with the location, technical requirements, infrastructure and formal and legal documents. This study aimed to identify the key factors that influence the development of photovoltaic power stations in Poland, with special emphasis on the choice of location and technical aspects of the investment process. The demand for clean energy and the renewable energy prospects for Poland are discussed based on the example of solar farms. Sixty-seven prospective farm locations were analyzed, and the results of the analysis were used to identify the main barriers and opportunities for renewable energy development in Poland. The option of connecting solar farms to the existing power grid was also examined. This study demonstrates that the development of solar farms in Poland is inhibited mainly by technical barriers, in particular the lack of options for connecting farms to the power grid, as well as the absence of support mechanisms and dedicated legislative solutions, rather than environmental obstacles.
ABSTRACT
The outbreak of coronavirus disease 2019 (COVID-19) and its worldwide spread has an unprecedented impact on many people's daily life. As an external crisis event that is not going to end any time soon, will COVID-19 affect people's risk judgment towards other risk items in daily life? The present study addresses this gap by examining the effect of the COVID-19 pandemic on judgments of risk and benefit, and further exploring the underlying mechanisms. Three hundred and forty-nine participants were recruited and divided into two groups based on whether they were severely affected or mildly affected by COVID-19. The results showed that the severely affected group (vs. the mildly affected group) gave higher judgments of risk and lower judgments of benefit towards risk items such as "air travel" and "nuclear power plant," and these effects were mediated by the COVID-19-induced negative emotions (fear and anxiety). This study suggests that the adverse effects brought from one external crisis event (e.g., the current COVID-19 pandemic) will spill over and interfere with the judgment of the decision-maker on other routine matters through negative emotions.
ABSTRACT
The Globe as well as national stage also understands shockingly crucial sustainability threats, i.e., H2O shortage and pandemic situation (COVID-19). The thoughtful H2O utilization strength in a variety of brand dominion technology. According to countrywide disorder is a prerequisite for understanding the prospective shock of influence on H2O reserves. Evaporation loss is 968t/h at Target Sector, this paper review on operational losses to Eco Design 475.5t/h. At the Current Situation power is not sustainable energy with reverence to H2O preservation, so revision at power should be enhanced to propose and recaptures to reduce losses from 968t/h, to 475.5t/h for Environment sustainability.
ABSTRACT
The pandemics outbreak of Covid-19 in the world has made society and industrial activities very dynamic. The operating power plant must prepare to fulfil the fluctuating electricity demand from the load dispatcher. Hence, predicting the electrical power output is important to give the accuracy to maximize the profit and minimize losses. This paper discusses and predicts the half-hourly electrical output of Paiton Coal-Fired Power Station Unit 1 by develops many predictive models using five different machine learning regression methods. The five parameters that affect the electrical power output are used in the dataset, such as main steam flow, total coal flow, primary airflow, secondary airflow, and vacuum condenser pressure. These input and target variables as the dataset were collected over one year. The dataset is sorted and observed. Then, the best prediction model is sought for predicting electrical power output. Thus, the best performance of the best subset, which contains a complete set of input variables, has been analyzed using the most accurate machine learning algorithm, which is the random forest, with R-squared of 0.996. © 2021 IEEE.