scholarly journals Analisis Efisiensi Sumber Daya dan Produksi Bersih di Desa Wisata Pulesari, Sleman, Yogyakarta

Author(s):  
Muhammad Dzulkifli ◽  
Jussac Maulana Masjhoer

This study aims to describe the results of the Resource Efficiency and Cleaner Production (RECP) analysis based on the RECP assessment indicators from UNIDO and to give RECP recommendations based on the result of the assessment. The analysis shows that in the management of Desa Wisata Pulesari (Dewi Pule), there are three main activities that uses many resources, namely homestay, Dasa Wisma kitchen and Pendopo. The result says, inefficiencies of energy were found in kitchens and homestays. The use of energy in homestays can be saved by replacing ordinary lamps with LED lights. Efficiency in the kitchen can be done by using magnets on the gas hose and using a healthy energy efficient stove (TSHE) stove. From the results of these recommendations, Dewi Pule has the potential to reduce carbon by 65,279.9 CO2eq kg / year and in terms of economy Dewi Pule has the potential to save a total of IDR 33,412,106 / year. The assessment and application of RECP in a tourism village requires adjustments to the indicators. This is because the character of the resources and energy use in tourism villages is very different from the industries that have implemented the RECP method from UNIDO. Keywords: Efisiensi Sumberdaya, Produksi Bersih, Desa Wisata, Pulesari

Author(s):  
Peter Rez

Most of the energy used by buildings goes into heating and cooling. For small buildings, such as houses, heat transfer by conduction through the sides is as much as, if not greater than, the heat transfer from air exchanges with the outside. For large buildings, such as offices and factories, the greater volume-to-surface ratio means that air exchanges are more significant. Lights, people and equipment can make significant contributions. Since the energy used depends on the difference in temperature between the inside and the outside, local climate is the most important factor that determines energy use. If heating is required, it is usually more efficient to use a heat pump than to directly burn a fossil fuel. Using diffuse daylight is always more energy efficient than lighting up a room with artificial lights, although this will set a limit on the size of buildings.


2020 ◽  
Vol 170 ◽  
pp. 01002
Author(s):  
Subbarao Yarramsetty ◽  
MVN Siva Kumar ◽  
P Anand Raj

In current research, building modelling and energy simulation tools were used to analyse and estimate the energy use of dwellings in order to reduce the annual energy use in multifamily dwellings. A three-story residential building located in Kabul city was modelled in Revit and all required parameters for running energy simulation were set. A Total of 126 experiments were conducted to estimate annual energy loads of the building. Different combinations from various components such as walls, roofs, floors, doors, and windows were created and simulated. Ultimately, the most energy efficient option in the context of Afghan dwellings was figured out. The building components consist of different locally available construction materials currently used in buildings in Afghanistan. Furthermore, the best energy efficient option was simulated by varying, building orientation in 15-degree increments and glazing area from 10% to 60% to find the most energy efficient combination. It was found that combination No. 48 was best option from energy conservation point of view and 120-degree rotational angle from north to east, of the existing building was the most energy-efficient option. Also, it was observed that 60% glazing area model consumed 24549 kWh more electricity compared to the one with 10% glazing area.


Author(s):  
Hugo Hens

Since the 1990s, the successive EU directives and related national or regional legislations require new construction and retrofits to be as much as possible energy-efficient. Several measures that should stepwise minimize the primary energy use for heating and cooling have become mandated as requirement. However, in reality, related predicted savings are not seen in practice. Two effects are responsible for that. The first one refers to dweller habits, which are more energy-conserving than the calculation tools presume. In fact, while in non-energy-efficient ones, habits on average result in up to a 50% lower end energy use for heating than predicted. That percentage drops to zero or it even turns negative in extremely energy-efficient residences. The second effect refers to problems with low-voltage distribution grids not designed to transport the peaks in electricity whensunny in summer. Through that, a part of converters has to be uncoupled now and then, which means less renewable electricity. This is illustrated by examples that in theory should be net-zero buildings due to the measures applied and the presence of enough photovoltaic cells (PV) on each roof. We can conclude that mandating extreme energy efficiency far beyond the present total optimum value for residential buildings looks questionable as a policy. However, despite that, governments and administrations still seem to require even more extreme measurements regarding energy efficiency.


2013 ◽  
pp. 1027-1046 ◽  
Author(s):  
Hakan Hisarligil ◽  
Sule Karaaslan

This chapter presents a methodological approach to residential block design for sustainable urban development for hot-summer and cold-winter climates. Taking Ankara as a case, its focus is on developing an energy efficient design process as regards residential block geometry with optimum performance for both climate and energy use. The numerous variables analyzed are orientation, building geometry and envelope, heating and cooling loads of buildings, and microclimatic conditions including solar radiation, air, and wall temperature, and wind speed. It is also important in this study to demonstrate the potential use of “free and user-friendly” simulation tools for such analysis in the early design phase for those who are not experts but have moderate knowledge of urban microclimate and energy. For this aim Weather Tool v2.00 for climate and passive design analysis, CASAnova 3.0 for building energy analysis, and ENVI-met 3.0 for microclimatic analysis are used.


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