scholarly journals PENGARUH DESAIN COURTYARD TERHADAP KONSUMSI ENERGI UNTUK AC (AIR CONDITIONER) DAN PENCAHAYAAN (Studi Simulasi Hipotetik Bangunan Tinggi Perkantoran di Jakarta)

2018 ◽  
Vol 14 (1) ◽  
pp. 36-47
Author(s):  
Galih Gusti Yudha Saelendra ◽  
Jatmiko Adi Suryabrata ◽  
Dimas Wihardyanto
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Simulation Method ◽  
The Sun ◽  
Air Conditioner ◽  
Total Energy Consumption ◽  
Total Consumption ◽  
Natural Lighting ◽  
Lighting Energy ◽  
Glass Type

ABSTRACT Increasing the natural lighting can reduce the lighting energy consumption haw a weather but it can be potentially increasing the weather energy so there must be strategy needed to save the energy. That condition is the problem statement of this research, to know the configuration of the natural lighting and the effective cooling load. In this research, the simulation method with hypothetic building object has been used to test how big the influence of courtyard dimension, (Wall To Window Ratio) WWR and glass type towards the total consumption of energy for AC (Air Conditioner) and lighting. The result of this research is the most affective courtyard configuration is courtyard dimension 1, WWR 30 %, stopsol glass type. From the courtyard dimension variable, WWR and glass type, for the total energy consumption for AC and the highest lighting influenced its energy efficiency is clear glass type 15,56%, panashap glass 9,09%, WWR 70% 6,25%, WWR 50% 1,91%, courtyard dimension 2 0,27%, courtyard dimension 3 0,18%. In Jakarta with the tropical climate is not suitable to apply the courtyard application which is too big, it must be concerned the wide and high proposition so the total energy consumption for AC and lighting would not be so big. While the open orientation is not so influencing the sun radiation, so avoid the open part from east and west. For the WWR building range is between 50% - 70% must be paid attention in choosing the glass type because as small as the SC (Shading Coefficient) is lower the sun radiation. Keywords : AC (Air Conditioner), Courtyard, Glass type, Lighting, WWR. ABSTRAK Meningkatkan pencahayaan alami dapat mengurangi konsumsi energi pencahayaan namun, berpotensi meningkatkan energi penghawaan maka diperlukan strategi untuk penghematan energi. Kondisi tersebut yang menjadi permasalahan dalam kajian ini, untuk mengetahui konfigurasi pencahayaan alami dan beban pendinginan yang efektif. Dalam kajian ini digunakan metode simulasi dengan objek bangunan hipotetik untuk menguji besar pengaruh dimensi courtyard, (Wall To Window Ratio) WWR dan Jenis kaca terhadap total konsumsi energi untuk AC (air conditioner) dan pencahayaan. Hasil dari kajian ini adalah konfigurasi courtyard yang paling efektif yaitu dimensi courtyard 1, WWR 30%, jenis kaca stopsol. Dari variabel dimensi courtyard, WWR dan jenis kaca, untuk total konsumsi energi untuk AC dan pencahayaan yang paling tinggi berpengaruh dalam efesiensi energinya adalah jenis kaca clear 15.56%, kaca panashap 9.09%, WWR 70% 6,25%, WWR 50% 1,91%, dimensi courtyard 2 0.27%, dimensi courtyard 3 0.18%. Pada kota Jakarta dengan kondisi iklim tropis kurang cocok untuk pengaplikasian courtyard yang terlalu besar, harus di perhatikan proporsi lebar dan tinggi courtyard agar total konsumsi energi untuk AC dan pencahayaan tidak terlalu besar. Sedangkan orientasi bukaan sangat berpengaruh terhadap radiasi matahari, sehingga hindari bukaan dari arah timur dan barat. Untuk range WWR bangunan antara 50 -70% perlu di perhatikan dalam memilih jenis kaca karena semakin kecil SC (Shading Coefficient) maka semakin rendah radiasi matahari. Kata kunci: AC (Air Conditioner), Courtyard, Jenis kaca, Pencahayaan, WWR.

Energy savings potential of new aeration system: Full scale trials

2012 ◽  
Vol 7 (4) ◽  
Author(s):  
A. Lazić ◽  
V. Larsson ◽  
Å. Nordenborg
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Total Energy ◽  
Energy Savings ◽  
Treatment Plant ◽  
Full Scale ◽  
Total Energy Consumption ◽  
Aeration System ◽  
Fine Bubble ◽  
Aeration Control

The objective of this work is to decrease energy consumption of the aeration system at a mid-size conventional wastewater treatment plant in the south of Sweden where aeration consumes 44% of the total energy consumption of the plant. By designing an energy optimised aeration system (with aeration grids, blowers, controlling valves) and then operating it with a new aeration control system (dissolved oxygen cascade control and most open valve logic) one can save energy. The concept has been tested in full scale by comparing two treatment lines: a reference line (consisting of old fine bubble tube diffusers, old lobe blowers, simple DO control) with a test line (consisting of new Sanitaire Silver Series Low Pressure fine bubble diffusers, a new screw blower and the Flygt aeration control system). Energy savings with the new aeration system measured as Aeration Efficiency was 65%. Furthermore, 13% of the total energy consumption of the whole plant, or 21 000 €/year, could be saved when the tested line was operated with the new aeration system.

scholarly journals Energy Recovery Potential in Industrial and Municipal Wastewater Networks Using Micro-Hydropower in Spain

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 691
Author(s):  
Aida Mérida García ◽  
Juan Antonio Rodríguez Díaz ◽  
Jorge García Morillo ◽  
Aonghus McNabola
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Recovery ◽  
Energy Production ◽  
Municipal Wastewater ◽  
Distribution Networks ◽  
Total Power ◽  
Energy Potential ◽  
Total Energy Consumption ◽  
Recovery Potential

The use of micro-hydropower (MHP) for energy recovery in water distribution networks is becoming increasingly widespread. The incorporation of this technology, which offers low-cost solutions, allows for the reduction of greenhouse gas emissions linked to energy consumption. In this work, the MHP energy recovery potential in Spain from all available wastewater discharges, both municipal and private industrial, was assessed, based on discharge licenses. From a total of 16,778 licenses, less than 1% of the sites presented an MHP potential higher than 2 kW, with a total power potential between 3.31 and 3.54 MW. This total was distributed between industry, fish farms and municipal wastewater treatment plants following the proportion 51–54%, 14–13% and 35–33%, respectively. The total energy production estimated reached 29 GWh∙year−1, from which 80% corresponded to sites with power potential over 15 kW. Energy-related industries, not included in previous investigations, amounted to 45% of the total energy potential for Spain, a finding which could greatly influence MHP potential estimates across the world. The estimated energy production represented a potential CO2 emission savings of around 11 thousand tonnes, with a corresponding reduction between M€ 2.11 and M€ 4.24 in the total energy consumption in the country.

scholarly journals Linear Weighted Regression and Energy-Aware Greedy Scheduling for Heterogeneous Big Data

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 554
Author(s):  
Suresh Kallam ◽  
Rizwan Patan ◽  
Tathapudi V. Ramana ◽  
Amir H. Gandomi
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Total Energy ◽  
Optimal Solution ◽  
Data Locality ◽  
Weighted Regression ◽  
Heterogeneous Environments ◽  
Energy Aware ◽  
Total Energy Consumption ◽  
Greedy Scheduling

Data are presently being produced at an increased speed in different formats, which complicates the design, processing, and evaluation of the data. The MapReduce algorithm is a distributed file system that is used for big data parallel processing. Current implementations of MapReduce assist in data locality along with robustness. In this study, a linear weighted regression and energy-aware greedy scheduling (LWR-EGS) method were combined to handle big data. The LWR-EGS method initially selects tasks for an assignment and then selects the best available machine to identify an optimal solution. With this objective, first, the problem was modeled as an integer linear weighted regression program to choose tasks for the assignment. Then, the best available machines were selected to find the optimal solution. In this manner, the optimization of resources is said to have taken place. Then, an energy efficiency-aware greedy scheduling algorithm was presented to select a position for each task to minimize the total energy consumption of the MapReduce job for big data applications in heterogeneous environments without a significant performance loss. To evaluate the performance, the LWR-EGS method was compared with two related approaches via MapReduce. The experimental results showed that the LWR-EGS method effectively reduced the total energy consumption without producing large scheduling overheads. Moreover, the method also reduced the execution time when compared to state-of-the-art methods. The LWR-EGS method reduced the energy consumption, average processing time, and scheduling overhead by 16%, 20%, and 22%, respectively, compared to existing methods.

Optimizing the production scheduling of a single machine to minimize total energy consumption costs

2014 ◽  
Vol 67 ◽  
pp. 197-207 ◽  
Author(s):  
Fadi Shrouf ◽  
Joaquin Ordieres-Meré ◽  
Alvaro García-Sánchez ◽  
Miguel Ortega-Mier
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Single Machine ◽  
Production Scheduling ◽  
Total Energy Consumption

Energy Consumption Prediction of University Buildings in China and Strategies for Energy Efficiency Management

2015 ◽  
Author(s):  
Li-juan Qu ◽  
Li-nan Lei ◽  
Wei Chen ◽  
Jin-yuan Qian
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Total Energy ◽  
Ministry Of Education ◽  
Total Energy Consumption ◽  
Use Of Resources ◽  
Starting Point ◽  
Conservation Actions ◽  
Urban Rural ◽  
University Buildings

In 2007, Chinese Ministry of Education (MOE) and Ministry of Housing & Urban-Rural Development (MOHURD) carried out the Campus Resource Conservation Actions, in order to take full use of resources and to improve the energy efficiency. However, due to the large amounts of universities, the total energy consumption and the energy efficiency situation have no objective statistics. Taking modeling the energy consumption of university buildings as the starting point, this paper analyzes the characteristics of university buildings in China. Then, we do the prediction, trend and potential analysis of the total energy consumption in 2020. In addition, four strategies for energy efficiency management are carried out, which might be helpful for all the university managers and related departments.

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