The Implementation of Green Housekeeping Management at The St. Regis Bali Resort

This research focuses on analyzing the implementation of green housekeeping management at The St. Regis Bali Resort. The data of the research was collected through observation, interview, questionnaires’ distribution, and documentation. The questionnaires were distributed to the 38 employees of the Housekeeping Department. Quantitative analysis was used to analyze the data. The research results using the frequency distribution of Likert scale with 5 (five) scales on the SPSS version 25.0 stated that the average value of the indicators related to the implementation of green housekeeping management on the questionnaire was a value of 4 or very well implemented. It is proved that the concept of green housekeeping management at The St. Regis Bali Resort has been implemented very well in the daily operations. It aims to preserve the environment, saving energy, and ensure maximum guest satisfaction.

VIABILITY OF USING ENGINE ROOM SIMULATORS FOR EVALUATION MACHINERY PERFORMANCE AND ENERGY MANAGEMENT ONBOARD SHIPS

The maritime institutions aim at contributing to reducing the adverse effects arising from the ships, machinery operation through the possibilities exit in the engine room simulators. The current paper explains the importance of engine room simulators in maritime education in general and focuses on their use in the field of evaluation and management of machinery within the engine room space. As a case study, an electric powered passenger ship and an oil tanker ship are investigated regarding applying ship energy management onboard. This investigation could be achieved using the possibilities available in TRANSIS ERS 5000. With reference to passenger ships, the results show the possibility of saving energy with a reduction of CO, SOx, CO2 and C emissions by about 7.97, 10.54, 12.36, and 20.11%, respectively. However, regarding tanker ships, the results reveal that a reduction of speed by 10% will achieve fuel saving by about 25%.

Effect of Feed-In Tariff with Deregulation on Directed Technical Change in the Energy Sector

In this study, we examine how a feed-in tariff (FIT) accompanied with deregulation in the energy sector affects the direction of technical change along the balanced growth path. A final good is composed of resource-saving (such as renewable) energy and traditional resource-intensive energy. The government introduces a FIT scheme for promoting resource-saving energy, while it deregulates the traditional energy sector for efficiency improvement. The implementation of the scheme positively affects directed technical change toward the resource-saving energy technology and economic growth. Meanwhile, the biased technical change leads to an upsurge in the surcharge. Associated deregulation not only accelerates the biased technical change but also drives the surge in the surcharge rate, unless the initial market structure of the traditional energy sector is highly concentrated.

Execution of a smart street lighting system for energy saving enhancement

In many countries, particularly, third world countries. The common issue is saving energy. That`s why smart systems considered now primary for life requirements. This work aims to solve the energy saving problem. We prepared a street model that contains several lampposts on both sides of the street; we placed three IR sensors between the lampposts alongside the street. The IR sensors are connected to the controller (in this work we used Arduino UNO). The controller takes the signal from the IR sensor, and then it sends the command to the lamppost to turn on or off. Depending on the number of cars passed, (we took a sample of a number of cars that passed on an actual street) and through formulas we calculated the power consumed by the lampposts in two cases, the first case is when the lights is always on. The second case is when the smart system applied. We also applied fuzzy logic to the system to take the intensity of the ambient light (the sun light) under consideration. The results showed that the proposed smart lighting system is efficient and reliable in saving energy. The energy saved for both (smart and fuzzy) systems was enormous.